scout · поле конкурентов · 2026-06-21
Вайбкод health-вики — разведка поля
Кто ещё строит что-то похожее на Biohacking OS — новая волна indie/AI-кодед health-порталов, RU и глобально.
найдено 38 уникальных · разобрано 20 · подтверждённо живых 19 · 6 поисковых агентов + web-fact-check
Вердикт по полюГде мы стоим
The indie "vibecoded" health-knowledge field is real, growing fast, and bifurcates cleanly: a wave of evidence-graded supplement WIKIS (SupplementScience.org, Suppstack, SupplementDB, Pillser, OpenPill) and a wave of protocol/stack BUILDERS + TRACKERS (Stack Tracker, SuppTrack, Longevity Deck, Biohackr, NootropicStacker), with a handful trying to fuse both (IQ Healthspan, WinAging, CoreStacks, Dopenomics). Almost all of it is English-first and Western; the RU/UA-language, evidence-honest knowledge-portal niche we are targeting is still strikingly thin — only Dopenomics, Neural Hack, Sain and Dope Amino sit in RU, and not one of them combines a real graded-evidence corpus with the full loop in Russian/Ukrainian. The single most important finding: a UA team (SupplementScience.org) already built a beautiful filterable evidence wiki but shipped it English-only, leaving our home-language market wide open. The global niche is crowding quickly and the "Examine alternative" framing is becoming a cliche; the RU/UA evidence-honest-portal niche is not yet crowded, but the raw ingredients to fill it now exist and a fast follower could close the gap in months.
Filling fast globally, still open in RU/UA. The GLOBAL/EN space is getting crowded and somewhat commoditized: at least 6-8 sites now pitch themselves as "free Examine.com alternative" or evidence-graded supplement wikis (Pillser, Suppstack, SupplementDB, OpenPill, SupplementScience.org, plus WinAging/CoreStacks on the curation side), and AI-coded stack builders/trackers are a dime a dozen (NootropicStacker, Stack Tracker, SuppTrack, Longevity Deck, Biohackr). Differentiation there is collapsing toward whoever has the best SEO/AEO and the cleanest UX. The RU/UA EVIDENCE-HONEST PORTAL niche we specifically target is NOT yet crowded: the RU entrants are either a dopamine-only viz toy with no evidence bar (Dopenomics), a grey-market uncited blog (Neural Hack), or a black-box AI coach (Sain) — none is an evidence-graded, multi-domain, honest-commerce portal in Russian/Ukrainian. So our exact square is still largely empty, but it is the obvious next move for any of the EN evidence-wiki teams (especially the UA-built SupplementScience.org) to localize into. Window: real but not indefinite — months, not years.
Наш ровНезанятое пересечение
No single competitor occupies the full intersection we are building, and that intersection IS our moat: (1) RU/UA-FIRST language — the entire evidence-wiki wave is EN-only, including the one UA-built site; owning Russian/Ukrainian evidence-honest content is uncontested. (2) A REAL evidence bar — every rival grades on study count + direction or hand-wavy "Strong/Moderate" labels; NONE implements effect_size × N × replication tiers (A/B/C), and several shipped fabricated/garbled claims (SupplementDB's "IV 100x better," NootropicStacker's fake CMO, SmartSleepCalc's invented stats) — visible, inspectable rigor is a wide-open trust position. (3) The FULL loop in one product — wikis stop before the builder; builders/trackers start after the knowledge; only IQ Healthspan assembles most of it, but EN/ES-only, no commerce, no real evidence bar, localStorage-only. (4) HONEST COMMERCE done right — best/cheapest labs + a few evidence-passing SKUs + a founder-owned brand (Perla); rivals are either pure-affiliate (conflict-of-interest), grey-market Telegram (Neural Hack), or deliberately non-commercial/unmonetized (fragile). (5) CONSENSUS-vs-CONTROVERSY mapping and JUMP-TO-SOURCE VIDEO — essentially nobody does either. The defensible whitespace is the union of RU/UA + graded evidence + full loop + honest commerce, which no competitor comes close to occupying.
Ближайшие угрозыЗа кем следить
The single most thesis-adjacent rival: a UA-built, AI-coded, evidence-graded filterable supplement wiki with per-study cards (N, dose, duration), study-type filters and one-click jump-to-PubMed — exactly our knowledge-portal layer, already shipped and polished. The only thing keeping it from being a direct competitor is that it is English-only with no builder/commerce; a Russian/Ukrainian localization by the same team would land squarely on top of us. Closest geographic + thesis overlap in the field.
The closest archetype in our own RU market and same founder-owns-the-supplement-brand model (Dope Amino). Its tab structure (Биохак/Вещества/БАДы/Привычки) + library + comparison + synergy + funnel-to-own-supplements mirrors our intended loop beat-for-beat in Russian. Narrower (dopamine-only) and shallower (metaphorical curves, no real evidence bar, no builder/tracker/subscription), but it owns RU mindshare and the shareable interactive-toy hook we lack.
The closest WHOLE-PRODUCT analog: one solo builder independently assembled nearly our entire loop — evidence database with a published A–Rx grading rubric, quiz/score, stack + AI protocol builders, and a calm tracking dashboard, with an anti-sponsorship honesty stance. Protected from us mainly by EN/ES-only (no RU/UA), no commerce layer, no formal effect_size×N rigor, and localStorage-only tracking — but it proves the full-loop concept is buildable solo and fast.
The closest live analog to our HONEST-COMMERCE monetization: a working builder+tracker with a Creator Pro tier ($199/yr) that bakes in affiliate integration + 5% referral commissions, turning biohacking creators into a distribution channel — a shippable template for the exact commerce layer we want. Missing our entire evidence-portal moat and zero RU/UA, but it shows the creator-affiliate revenue model working in production.
РейтингТоп по угрозе / чему учиться
- 3/5 SupplementScience.org · Ukraine (EN-only) · www.supplementscience.org/
UA-built, AI-coded filterable evidence wiki: 486 supplements, per-study cards, jump-to-PubMed, study-type/N filters.
★ Our knowledge-portal layer already shipped by a Ukrainian team — and they left it English-only, handing us the RU/UA opening on a plate. - 3/5 Dopenomics (Дофаминомика) · Russia (RU) · dopenomics.ru
Single-page dopamine-curve simulator + 107-source library, funneling to the creator's own Dope Amino supplement brand.
★ The closest archetype in our own RU market and same founder-owns-the-brand model — owns the shareable interactive-toy hook we lack, but has no real evidence bar. - 3/5 IQ Healthspan · Global / US (EN+ES) · iqhealthspan.com/
Solo-built longevity portal: evidence DB with published A–Rx rubric + 19 free tools + quiz + builder + localStorage dashboard.
★ The closest whole-product clone of our loop — proves one person can assemble the entire thing fast; only RU/UA + commerce + real rigor protect us. - 3/5 Stack Tracker · US / global EN · stacktracker.co
Protocol builder + dose tracker SaaS with a Creator Pro tier that bakes in affiliate + 5% referral commissions.
★ A live, working template for our honest-commerce/creator-affiliate layer — the monetization model we want, minus any evidence portal. - 3/5 Pillser · Global / EN (US) · pillser.com/
"Examine alternative built with AI": thousands of PubMed papers + 18k products linked study→outcome→supplement→affiliate.
★ A 3-tier multi-LLM verification pipeline (recall→filter→sentence-verify) we should steal as our ingestion QA layer — but expose the receipts they hide. - 3/5 WinAging · Global / EN · winaging.com/
Free interactive tools (interaction checker, calculators) + supplement-review blog funneling to a $49 AI-coach protocol.
★ The Supplement Interaction Checker (synergy/safe/caution/avoid, warnings-first) is a viral lead-magnet pattern — but their evidence honesty is skin-deep and fakes urgency. - 3/5 Suppstack · Global / EN (UK/IE) · supp-stack.com/
Free non-affiliate encyclopedia of ~100 supplements: dose×form×timing as tested, star ratings, cited study-comparison tables.
★ The per-supplement study-comparison table (Ref·Author·Year·N·Population·Form·Duration·Finding·Quality) makes evidence scannable in 5s — the citable format to copy, plus their AEO/llms.txt move. - 3/5 CoreStacks · US / global EN · corestacks.com/
SEO site comparing 5-6 longevity influencers' stacks, wrapped in a quiz, interaction checker and research hub.
★ Versioned, change-tracked guru stacks ("Sinclair's stack 2020→2026", "where they disagree") is a cheap, sticky consensus-vs-controversy hook we can layer real grades onto. - 2/5 SupplementDB · Unknown / EN · supplementdb.info/
Nootropic/mental-health evidence wiki fused with an AI Stack Analyzer (synergy + dosing + interaction flags).
★ Pairs a safety/interaction checker directly INTO the builder (one output, not a separate page) — a clean mechanic, but it shipped a dangerous fabricated dosing claim, exposing unreviewed AI. - 3/5 Longevity Deck · Global / EN (Poland-built, iOS-only) · longevitydeck.com/
Free iOS app: swipe a deck of 120-150 science-backed protocols into a stack, track vs HealthKit, $5/mo Discord.
★ Swipe-to-build protocol-card deck + an auto-refreshing pipeline that re-scans studies/podcasts bi-weekly and stamps freshness — makes the corpus feel alive at near-zero editorial cost (and exact $5/mo price match). - 2/5 NootropicStacker · Global / US (EN) · nootropicstacker.com/
"PCPartPicker for nootropics": 195 compounds → live 0-100 Stack Score (synergy/coverage/balance/efficiency) + quiz, affiliate-funded.
★ The Stack Score decomposed into four legible 0-25 sub-dimensions that update live — gamifies "is my stack good?"; we can anchor each sub-score to real Tier A/B/C grades instead of hand-wavy synergy. - 2/5 SuppTrack · US (EN, iOS/Android) · supptrack.app/
Native supplement tracker: barcode-scan a 189k-product DB → daily aggregated vitamin totals + cross-product overlap detection.
★ Barcode→structured-ingredient pipeline feeding daily totals + overlap alerts ("3 products each have B6 = 4x RDA") — a sticky, anxiety-reducing advisor hook a passive tracker can't normally do.
Что украстьШорт-лист паттернов
- Filterable evidence-as-product UX (SupplementScience.org): gate the whole corpus by study type (human-only), min N, min study count, with per-supplement quality charts ("X/Y RCTs") and one-click jump-to-source on every card — shipped as cheap static JSON.
- Scannable study-comparison table + per-outcome star ratings + explicit "best supported for / insufficient evidence for" split (Suppstack) — makes evidence quality legible in 5 seconds and AI-citable.
- Decomposed composite score (NootropicStacker's 0-100 → four 0-25 sub-dimensions; Stack Tracker's BioTracker Score) — but anchor each sub-score to real effect_size×N×replication grades to make the gamification honest.
- Interactive shareable hook as top-of-funnel (Dopenomics dopamine curves; SmartSleepCalc calculator cluster; Longevity Deck swipe-deck) — build a sleep/dopamine/metabolic calculator cluster + scrubbable comparable curves backed by REAL evidence cards, as an SEO/LLM acquisition wedge into the builder.
- Interaction/safety checker fused INTO the builder, not bolted on as a separate page (SupplementDB, WinAging) — with per-pair citations + evidence grade behind each verdict.
- Auto-refreshing content pipeline with a visible "last updated" freshness stamp (Longevity Deck, CoreStacks) re-scanning new studies/podcasts on a fixed cadence — pair freshness with our graded bar for "live + honestly graded."
- Multi-LLM 3-tier verification ingestion QA (Pillser): cheap model recalls → frontier model filters false positives → third verifies each summary sentence against source excerpt — then SHOW the receipts they hide.
- Honest dual evidence metric + provenance label (OpenPill's Average vs Peak score + visible "AI-generated data" badge) — disclose provenance and surface effect_size×N×replication in one badge.
- Creator Pro affiliate tier with built-in referral commissions (Stack Tracker $199/yr + 5%) as a creator-distribution channel; plus disciplined 3-SKU per-intent curation sold straight off the protocol (Dope Amino: creatine+mag glycinate+L-theanine).
- Loud anti-hype credibility marketing: publish the rubric AND the failures (IQ Healthspan: "only 6/42 reach A, resveratrol=D"), a blunt "No hype, just science" creed (Longevity Index), tiered Foundations→Optimization→Advanced onboarding IA with hover-preview backlinks, and AEO setup (llms.txt + explicitly allow GPTBot/anthropic-ai/PerplexityBot) so our corpus becomes the cited source of truth.
Что это значит для насВыводы → действия
- Move on RU/UA NOW — it is our only uncontested moat and the EN evidence-wiki wave (especially the UA-built SupplementScience.org) is one localization away from taking it. Ship Russian/Ukrainian evidence-graded content as the wedge before a fast follower does; treat this as the highest-priority, time-sensitive bet (window is months).
- Make the real evidence bar VISIBLE, not just claimed. Every rival grades on study count or vague "Strong/Moderate" labels and several shipped fabricated claims. Surface effect_size × N × replication + Tier A/B/C with clickable PubMed AND jump-to-source video per claim — visible, inspectable rigor is the one thing none of them have and the trust gap we exploit.
- Own the full loop in one product. Wikis stop before the builder; builders/trackers start after the knowledge. Connect portal → quiz/persona → builder → calm tracking → honest commerce as a single chain; IQ Healthspan is the only near-miss and it's EN/ES, commerce-less, localStorage-only.
- Ship a shareable interactive hook as top-of-funnel — we currently lack one and it's where Dopenomics, SmartSleepCalc and Longevity Deck win. Build a sleep/dopamine calculator cluster + scrubbable comparable curves backed by real evidence cards; this is the SEO/LLM-citation acquisition engine.
- Differentiate commerce by being the honest broker: best/cheapest labs + a few evidence-passing SKUs + Perla. Affiliate-only rivals (Pillser, NootropicStacker, CoreStacks, WinAging) carry a structural conflict of interest, and grey-market RU shops (Neural Hack) carry trust/safety risk — neutral best-price + graded-SKU recommendation is a defensible, trustable position they can't copy without abandoning their model.
- Adopt AEO/AI-citation infrastructure from day one (llms.txt, allow GPTBot/anthropic-ai/PerplexityBot, scannable cited tables) — Suppstack, OpenPill and SmartSleepCalc are already courting LLM citations; in RU/UA there is almost no competition for being THE source ChatGPT/Perplexity cites in our languages.
- Use anti-hype as marketing: publish the rubric and the failures ("only N of M clear Tier A"), a transparent AI-use + zero-undisclosed-sponsorship page, and a blunt honesty creed. Several rivals (NootropicStacker's fake CMO, SmartSleepCalc's invented stats, SupplementDB's dangerous claim) are credibility time-bombs — out-rigor them loudly.
- Watch SupplementScience.org and IQ Healthspan for any RU/UA or commerce move (these would convert them from adjacents to direct threats), and watch Dopenomics for expansion beyond dopamine into multi-domain — those are the three trigger events that would close our whitespace; everything else is a feature to learn from, not a head-on competitor.
Все разборы · 19Полные teardown'ы
3/5 Dopenomics (Дофаминомика)
Что этоA single-page educational "dopamine dynamics" simulator. You pick a substance, supplement, habit, or natural biohack and watch a dynamic dopamine curve (spike → plateau → decline) play out over 6h/12h/24h/72h timescales. Explicitly framed as "visual metaphors, not precise measurements," built on "simplified mathematical models based on published scientific data." Bundles a 107-source reference library (БИБЛИОТЕКА) with per-item mini-graphs, risk levels and mechanisms, a synergy mode (combine substances), and a comparison tool (up to 3 side by side). Versioned "СДВГ v.11.01 beta" — an ADHD-themed personal-brand artifact by solo creator @hyperfocuser, cross-linked to a supplement shop (dopeamino.ru) and a НейроСамурай Telegram bot.
ДоказательностьBetter-than-average honesty posture for the genre, but soft on rigor. Strong, prominent disclaimers: "Это не точные измерения — это визуальные метафоры" and "Не используйте симулятор для самодиагностики или подбора лечения." Claims a 107-source library with mechanisms and risk levels. BUT: the core dopamine curves are admittedly illustrative "metaphors" from "simplified models," not measured effect sizes — there is no visible per-claim grading by effect_size × N × replication, no tiering of strong vs. weak evidence, no jump-to-primary-source video. So it gestures at evidence (source count, disclaimers) without a real evidence bar. "Number of sources" is used as a credibility proxy rather than quality of sources.
МонетизацияVertically integrated into the creator's OWN supplement brand DOPE AMINO (dopeamino.ru — live e-commerce: Creatine 1500₽, Magnesium Glycinate 1200₽, L-Theanine 1500₽, free RU shipping over 2000₽, contact dopeamino@yandex.ru). Plus a НейроСамурай Telegram bot (@hyperdope_bot) and audience funnel via @hyperfocuser. No subscription/paywall on the simulator itself — the sim is free top-of-funnel; money is made downstream on supplements. Same founder-owns-the-supplement-brand structure as Biohacking OS/Perla.
Вайбкод-сигналыStrong. Single-page interactive app with live curve rendering; "СДВГ v.11.01 beta" rapid hand-incremented versioning (classic vibecoded ship-fast cadence); solo creator (@hyperfocuser) build-in-public, audience-first; tied to Telegram channel + bot + Instagram; cross-linked own Tilda/shop-style supplement storefront. The whole thing reads as one person iterating an MVP on top of an existing personal audience rather than a funded team product.
СтекNot definitively fingerprinted from fetch alone. Presentation (single static-feeling SPA, emoji-heavy tabbed UI, client-side chart rendering, manual semver-ish version string) is consistent with a vibecoded build — hand-coded HTML/JS or an AI-assisted (Cursor/Claude/Lovable/v0/Bolt) single-page app with a JS charting lib for the curves, served as a static page; data likely a hand-authored JSON corpus of substances + the 107 sources. The companion shop dopeamino.ru looks like a hosted no-code/storefront builder (catalog, wishlist, gift cards, Yandex email). Evidence is circumstantial (UI/versioning/structure), not from build headers.
Трекшнне подтверждено. Both dopenomics.ru and dopeamino.ru resolve and are live, but no independent traction signals surfaced in search — no indexed follower counts for @hyperfocuser / the НейроСамурай bot, no press, reviews, or launch coverage. The project is niche and largely un-indexed outside its own Telegram/Instagram funnel. Audience size, launch date, and revenue all unverified.
ПересечениеHigh thematic overlap, the closest archetype seen so far. Its tab structure (Биохак / Вещества / БАДы / Привычки) + Library + Comparison + the founder-owns-the-supplement-brand commerce model mirror the intended Biohacking OS loop almost beat-for-beat, and it shares our RU-first, evidence-honest-disclaimer positioning. Divergences that limit direct competition: (1) it's dopamine-only, not whole-health longevity/sleep/metabolic; (2) the visualization is admittedly metaphorical, with no real effect_size × N × replication evidence bar, no jump-to-source video, no quiz/persona, no protocol/habit BUILDER or calm tracking — it's a viz toy + wiki, not an OS; (3) no $5/mo subscription. So: same shelf, same audience, overlapping commerce model — but a narrower, shallower product.
★ УкрастьThe single dopamine-curve simulator as the hook. A dynamic spike→plateau→decline curve you can scrub across 6h/12h/24h/72h, stack for synergy, and compare side-by-side is a genuinely sticky, screenshot-able, shareable mechanic that turns dry "evidence" into a felt, interactive object — exactly the kind of top-of-funnel toy Biohacking OS lacks. Steal the interaction pattern (interactive comparable curves + a synergy/stacking mode) but back it with our real evidence bar (effect_size × N × replication tiers + jump-to-source), which is precisely the rigor layer they're missing.
Что не такThe curves are "visual metaphors" presented as quantitative-looking graphs — seductive but not measured, which risks implying false precision in the exact domain (dopamine pharmacodynamics) where the science is contested and individual-variable. No evidence grading or tiering: 107 sources is a count, not a quality bar; strong and weak claims are rendered identically. No persona/quiz, no protocol/habit BUILDER, no tracking — it stops at "look at the pretty curve" and hands off to a supplement store, so the honest-commerce link is thin and self-serving (own brand only, no best/cheapest labs, no neutral comparison). Dopamine-only scope caps its depth.
ВердиктA real, live, well-targeted indie competitor occupying our exact shelf — but a narrow one. It nails the hook (interactive dopamine-curve sim) and the commerce structure (founder's own supplement brand), and proves the RU-first audience-funnel playbook works. It does NOT have the things that define Biohacking OS: a true evidence bar (effect_size × N × replication), jump-to-source, quiz/persona, a protocol/habit builder, calm tracking, or neutral honest commerce. Treat it as the benchmark to beat on the visualization mechanic and a cautionary example of "source-count theater" — not as a product that can out-build the full OS loop. Threat 3/5: could win the dopamine-viz niche and the same Telegram audience, but can't credibly become the whole-health evidence OS we're building. Watch @hyperfocuser for whether they expand from dopamine into general longevity and add a builder — that's the moment threat escalates.
3/5 WinAging
Что этоIndie longevity site combining free interactive tools (Supplement Interaction Checker covering 30+ supplements / 55+ interaction pairs, Creatine Dosage Calculator, Biological Age Calculator) + an SEO supplement-review blog, funneling to a paid "AI coach" that builds a personalized supplement protocol/stack. Tagline: "Your personal guide to aging on your terms." Positions as honest, no-brand-bias, "like texting a friend who reads longevity research for fun."
ДоказательностьWeak-to-medium. Interaction DB is "based on published research, pharmacological data, and expert consensus" but shows NO per-pair citations, no effect-size / N / replication grading, no jump-to-source. Authority is borrowed by name-dropping (Sinclair, Attia) rather than graded evidence. Markets itself as "Clear, honest, no hype" yet leans on aspirational longevity compounds (rapamycin, resveratrol, NAD+, senolytics, Klotho) and unverifiable stats ("92% report better energy", "1,500+ enthusiasts"). Honesty is a positioning claim, not a methodology.
Монетизация$49 one-time payment for the AI-coach personalized protocol (NOT a subscription), pushed with a "40% off ends soon" urgency banner. Blog is affiliate/SEO-driven supplement reviews (likely affiliate links to specific branded products despite the "no brand bias" claim).
Вайбкод-сигналыStrong vibecoded profile: single opinionated voice, free interactive tools as the hook funneling to one paid offering, emoji-iconned polished single-page-app feel, client-side-only tools ("runs in your browser, no account needed"), fabricated-feeling social proof, name-drop credibility, "ends soon" fake-urgency banner, and an AI-coach core. Classic solo-builder MVP: tools + programmatic SEO blog + AI wrapper.
СтекConfirmed Next.js (x-powered-by: Next.js; __next/_next markers in HTML; React) served via Cloudflare. Consistent with a Cursor/Claude-assisted Next.js build deployed on Vercel-style/Cloudflare. The paid "AI coach" is almost certainly an LLM API wrapper. No Lovable/v0/Bolt/Framer/Carrd fingerprint — slightly more "real-codebase" than pure no-code, but squarely in the AI-coded indie bracket.
Трекшнне подтверждено. Self-reported only ("1,500+ longevity enthusiasts," "92% report better energy," "200+ compounds, 10K+ protocols"). No Product Hunt launch, reviews, Reddit/X buzz, or third-party coverage found. No founder/About page. Treat all numbers as marketing copy.
ПересечениеHigh on mechanics, lower on values. Same core loop as Biohacking OS: curated evidence + free interactive tool → quiz/persona → personalized protocol/stack → commerce. The Supplement Interaction Checker (synergy / safe / caution / avoid) is a direct analogue to our planned protocol/stack builder + evidence/interaction layer, and the Biological Age quiz mirrors our persona step. BUT: EN-only (no RU/UA), longevity-supplement-only (no sleep/dopamine/metabolic breadth), no evidence-grading rigor, no calm-tracking, and an AI-coach core — exactly the "AI coach" model we explicitly are NOT building. Different region, different honesty bar.
★ УкрастьThe Supplement Interaction Checker as a standalone, no-login, shareable free tool with a clean 4-tier verdict (synergy / safe / caution / avoid) and "warnings appear first" sorting — it's a high-utility, viral-able SEO/lead magnet. We can ship a stronger version by adding what they lack: per-pair citations + evidence grade (effect_size × N × replication) and jump-to-source, turning their "trust me" checker into a believable one.
Что не такEvidence honesty is skin-deep: zero per-interaction citations, no evidence grading, name-drop authority, and unverifiable hype stats while claiming "no hype" — the credibility gap we can exploit. Pushes speculative compounds (rapamycin/senolytics) as if consumer-ready. Fake-urgency "40% off ends soon" undercuts the trust positioning. No founder/About = no E-E-A-T, weak for a health YMYL site. EN-only, supplement-only, narrow. Affiliate blog conflicts with the "no brand bias" promise.
ВердиктReal, live, competently-built Next.js indie longevity site that validates our exact funnel (free interactive tool → personalized protocol) and proves demand for an interaction/stack checker. It is an adjacent template, not a head-to-head rival: EN-only, supplement-longevity-only, AI-coach-centric, and evidence-honest only in marketing copy — none of which touches our RU/UA-first, multi-domain, evidence-graded, anti-AI-coach positioning. Threat 3/5: it could out-execute us on a single shippable feature (the checker) and on SEO speed, so we should ship a citation-backed interaction checker early and lead with real evidence grading as the differentiator. Watch but don't fear.
3/5 Pillser
Что этоEvidence-oriented supplement research platform pitched as an "Examine.com alternative built with AI." Aggregates thousands of PubMed papers and ~18,000+ supplement products, links specific supplements/ingredients to health outcomes, and summarizes the research in plain language. Monetized via supplement affiliate links (Amazon, iHerb, Vitacost, Vitamin Shoppe). Has search, an "Ask AI" nutrition assistant, research feed, health-outcome and health-condition pages, plus an engineering blog. Solo build-in-public project by Lilou Artz (@lilouartz).
ДоказательностьPartial / shallow. It does gesture at honesty: a multi-LLM 3-tier pipeline (cheap model finds PubMed mentions → top model filters false positives → third verifies summary against source excerpt), explicit "research signals worth knowing about, not health advice" framing, evidence-strength labels ("Low" / "Moderate"), FDA/medical disclaimers, and an affiliate-disclosure page. BUT the actual bar is weak: on inspected supplement pages there are NO visible PubMed citations, NO effect sizes, NO sample sizes, NO replication count, and no disclosed scoring methodology — just bracketed study counts and Low/Moderate labels. Observed at least one likely AI-attribution error (Saccharomyces boulardii outcomes surfaced on a magnesium product that doesn't list it). So it is "evidence-flavored" rather than truly high-bar evidence-graded.
МонетизацияSupplement affiliate revenue (Amazon, iHerb, Vitacost, Vitamin Shoppe) on per-product "View" buttons. All research summaries kept public/free (deliberate anti-Examine positioning — Examine paywalls). Founder stated it will be money-losing for a while before affiliate volume monetizes. No subscription/paywall observed.
Вайбкод-сигналыStrong indie/AI-build signals: solo founder building fully in public across Indie Hackers, Hacker News (2 Show HN posts), DEV.to, GitHub, X, Discord, Reddit, Pinterest. Core "content engine" is AI/LLM-generated at scale — a self-described 3-tier multi-LLM pipeline over PubMed, plus an "Ask AI" assistant. Rapid MVP shipping, auto-indexing URLs via Google API (a DEV post), engineering blog documenting the build. This is the new wave of AI-generated health-knowledge sites — though the app code itself is hand-written, not no-code.
СтекAlmost certainly hand-coded Next.js/React + PostgreSQL, NOT a no-code/Lovable/Carrd build. Evidence: founder Lilou Artz is a known senior JS/TS open-source author (Slonik Postgres client, Roarr logger, etc.) with an active GitHub — she writes production code. Content layer is the AI part: PubMed API ingestion + multi-LLM (multiple paid LLM APIs of varying cost/speed) for extraction/summarization/verification. SEO-driven (programmatic pages per supplement/outcome/condition, Google indexing API automation). So: "vibecoded content, professionally-coded app."
Трекшнне подтверждено (hard numbers). Confirmed signals: live and clearly maintained; ~18,000+ supplements and thousands of papers indexed; two Show HN launches (2024); active multi-channel build-in-public presence (IndieHackers, DEV, X, Discord, Reddit). No public revenue, user, or traffic figures disclosed by founder or found in search. Founder herself flagged it as money-losing early-stage.
ПересечениеHigh on the spine, partial overall. Directly mirrors the core Biohacking OS loop: study → effect → supplement → honest/affiliate commerce, with a public knowledge layer and an explicit "what actually works" evidence wiki. It is the closest structural twin to our evidence+commerce engine. BUT it stops at directory + summaries + affiliate; it has NO persona/quiz, NO protocol/habit builder, NO calm tracking, NO controversy/consensus mapping, NO jump-to-source video, and crucially NO RU/UA and no Perla-style first-party supplement brand. It competes with our knowledge+commerce half, not our product/behavior-change half.
★ УкрастьThe 3-tier multi-LLM verification pipeline as a trust mechanism: cheap model recalls candidate PubMed mentions → frontier model filters false positives → third model verifies each summary sentence against the source excerpt. Adopt this as our ingestion QA layer, but go further than Pillser by SHOWING the receipts our evidence bar demands — surface effect_size × N × replication and a clickable PubMed/source per claim. That turns their hidden pipeline into our visible "evidence-honest" differentiator.
Что не такEvidence depth is thin and partly automated-to-a-fault: no visible citations/effect sizes/sample sizes/replication on product pages, opaque Low/Moderate labels with no methodology, and at least one cross-attribution error (ingredient outcomes shown on a product lacking that ingredient) — a known failure mode of LLM-at-scale content that undercuts the "evidence" claim. Also: affiliate-first incentive sits in tension with honesty; product-directory UX over decision/behavior UX; EN-only, US-centric, zero RU/UA; no builder/tracker, so it doesn't change user behavior or retain.
ВердиктReal, live, and the closest structural analog to our evidence→supplement→commerce spine — a credible solo/AI-built "Examine alternative" worth monitoring, but not yet a frontal threat. Its moat is breadth + SEO + free summaries; its weakness is shallow, unsourced, occasionally-wrong evidence and zero behavior-change layer. Biohacking OS wins by being genuinely evidence-honest (visible effect_size × N × replication + jump-to-source), by owning the persona→protocol→tracking loop Pillser lacks, and by owning RU/UA where Pillser has no presence. Steal their multi-LLM verification pipeline; beat them on transparency and on turning knowledge into a usable protocol.
3/5 Suppstack
Что этоFree, no-signup web encyclopedia of ~100 supplements/peptides/herbs. Each page distills clinical trials into a structured profile: exact dose × form × timing × duration as actually tested, a 5-star strength-of-effect rating per outcome, "best supported for" vs "insufficient evidence for" verdicts, biomarker/clinical-outcome lists, mechanisms, safety/adverse events, a multi-study comparison table, and a numbered References section with DOI links. Positions explicitly against affiliate-driven supplement sites ("does not sell supplements, not affiliated with any brand"). Despite the "Supplement Stack Builder" tagline, there is NO interactive builder — it is a read-only content wiki.
ДоказательностьGenuinely the strongest signal here and a near-exact match to Biohacking OS's thesis. Per-outcome 5-star effect ratings; explicit "Limited / Limited-to-Moderate / Moderate / Strong" evidence tiers with study count + participant N (e.g. "Limited To Moderate Evidence · 8 Studies · 470 participants"); per-trial quality rating (Low/Moderate); honest negative findings surfaced (e.g. Parkinson's motor "no significant effect", BDNF "conflicting"); DOI citations for every reference; a candid disclaimer that "star ratings and interpretive text are editorial content derived from source data, not direct extractions from papers." Stated sources: PubMed, ClinicalTrials.gov, Cochrane, NIH ODS; excludes manufacturer/marketing material. Weaknesses: ratings are subjective/editorial with no published rubric weighting effect_size × N × replication; DOI-only (no one-click PubMed/full-text or jump-to-source video); single unnamed-on-most-pages author, so no peer review.
МонетизацияNone visible. No ads, no affiliate links, no supplement sales, no signup, no paywall, no donations. Explicitly anti-affiliate. Monetization model unknown/absent — likely a pre-monetization audience/SEO play or personal credibility project for the founder's nutrition practice. (Note: heavy AEO setup — llms.txt present, GPTBot explicitly Allowed in robots.txt — suggests they're chasing AI-citation/organic visibility, not revenue yet.)
Вайбкод-сигналыMixed. Pro-vibecoded: solo founder, no team/corporate branding, completely free MVP polish, future-dated post (2026-03-01) hinting at scripted/batch publishing, ~100 near-identical templated pages = almost certainly AI-generated content pipeline (LLM extracting trial data into a fixed schema). BUT the PLATFORM is not vibecoded: it runs on classic WordPress, not Lovable/v0/Bolt/Framer. No SPA, no custom JS app bundle.
СтекWordPress (confirmed: wp-json REST root, x-httpd-modphp header, /wp-content/) on SiteGround hosting (siteground-optimizer / siteground-dashboard REST namespaces), default Twenty Twenty-Four theme, Yoast SEO v27.7, Google Site Kit 1.179.0, nginx, Cloudflare-style image handling. Content almost certainly AI-authored (uniform schema across 100 pages, single byline "Rory, MSc Personalised Nutrition"). So: AI-WRITTEN content on a no-code-adjacent WordPress stack, not a Cursor/Claude-coded app.
Трекшнне подтверждено. No reviews, Reddit/X/Telegram mentions, audience numbers, or press found. Not in Examine/SuppCo's league. ~100 pages indexed; SEO/AEO-optimized (Yoast + llms.txt + GPTBot allow) implies organic-search ambition but no measurable traction signal yet. (Do NOT confuse with SuppCo/supp.co — Steve Martocci, $5.5M seed — a separate, funded company.)
ПересечениеHigh on the knowledge-layer thesis, low on the full loop. It nails the exact evidence-honest core Biohacking OS is building — dose × form × timing × duration + "what's actually supported" + graded evidence + cited sources, explicitly non-affiliate. That is our knowledge portal, already shipped in English. It does NOT have: persona/quiz, protocol/habit builder (despite the name), calm tracking, jump-to-source video, honest commerce (best/cheapest labs + vetted supplements), the controversy/consensus layer, or any RU/UA localization. So it overlaps ~the top third of our loop and leaves the consumer-product half wide open.
★ УкрастьThe per-supplement "study comparison table" (Reference · Author · Year · N · Population · Form · Duration · Finding · Quality rating) combined with per-outcome star ratings and an explicit "best supported for / insufficient evidence for" split — it makes evidence quality scannable in 5 seconds and is exactly the citable, AI-friendly format. Plus the AEO move: ship an llms.txt and explicitly allow GPTBot so the corpus gets cited by ChatGPT/Perplexity as the source of truth.
Что не так(1) Name overpromises — "Stack Builder" with zero builder/tracker/interactivity; it's a static wiki. (2) Evidence ratings are subjective editorial with no published, reproducible rubric (no transparent effect_size × N × replication weighting), and a disclaimer admits the numbers are interpreted not extracted — a high-bar competitor can out-rigor them. (3) Single unnamed-on-page author, no peer review, no methodology depth on the About page = thin E-E-A-T/trust. (4) AI-generated content risk: fabricated/garbled effect sizes possible at scale with no human QA visible. (5) Future-dated posts and no monetization/team = fragile, possibly abandoned-prone solo project. (6) DOI-only citations, no full-text or video jump-to-source. (7) Zero RU/UA — leaves our home market untouched.
ВердиктA real, live, surprisingly well-executed solo indie evidence wiki that validates Biohacking OS's knowledge-layer thesis — and proves an AI-content pipeline on plain WordPress can ship the "dose × form × timing × what's supported" corpus fast. But it's a static English-only reference, not a product: no builder, tracker, persona, video, commerce, or RU/UA, no monetization, and no provable traction. Threat 3/5: it could out-rank us on English organic/AI-citation search for individual supplements if we sleep on SEO/AEO, but it cannot deliver our consumer loop and has a weaker, non-reproducible evidence rubric. Treat it as a content-format benchmark to learn from, not a competitor that can beat us to the actual product.
3/5 Longevity Deck
Что этоA free iOS app (App Store id6753670965) by designer Michal Malewicz (Hype4) that bundles 120-150+ "science-backed" longevity protocols (sauna, cold plunge, red light, supplements, sleep, recovery) you swipe through and add to a personal stack, then track against HealthKit/wearable metrics (sleep, workouts, HRV, RHR, VO2Max) on one daily timeline with on-device "insights". Protocols auto-refresh ~twice/month by scanning new studies + podcasts (Huberman, Rhonda Patrick, Tim Ferriss). Landing page at longevitydeck.com is the marketing site; the product itself is iOS-only. No-server, iCloud-only, "your data is yours" privacy stance.
ДоказательностьSurface-level evidence framing, not a real evidence bar. Protocols are "sourced" from experts/podcasts (Huberman, Patrick, Ferriss) and "scientific papers" with jump-to-source links, auto-refreshed from new studies — but there is no visible grading by effect size × N × replication, no Tier A/B/C, no controversy/consensus split. It leans on expert authority rather than independent appraisal, and prominent "NOT medical advice / consult a professional" disclaimers. Honesty caveat: the homepage's own social proof is inflated/contradictory (see traction), which undercuts its evidence-honest positioning.
МонетизацияApp is genuinely free, no paywall, no IAP, no ads, no data sale. Indirect/optional monetization: a $5/mo "Longevity Deck Board" — private Discord where paying members get new scientific findings first and "support the openHealth community"; framed as covering the "$150-200 per data update" cost. Also an advisory-board invite to "longevity product" builders (latent affiliate/commerce + audience play). Founder is a large design/build-in-public personality, so the app also feeds his personal brand/audience funnel.
Вайбкод-сигналыStrong. Founder publicly states app logic/interactions were "coded with Claude AI"; SwiftUI; solo build-in-public on X/LinkedIn with a documented 2-month idea→ship timeline (idea Aug 10 2025, App Store upload Oct 6 2025, live ~Oct 10 2025). Auto-self-updating content pipeline (scrapes studies/podcasts monthly). Marketing site is a single static HTML page (style.css, asset folder) with a broken OG image URL ("https://longevitydeck.comassets/img/hero.jpg" — missing slash), and embeds a third-party "hero-maker" Cloudflare Worker (hero-maker.g1sh.workers.dev/h.js) that A/B-swaps the hero headline/copy — classic indie growth-hack tooling. JSON-LD hardcodes ratingValue 4.93 / reviewCount 3714.
СтекiOS app: SwiftUI, no backend ("we don't have a server"), data in user's private iCloud, HealthKit + Siri + widget integrations; app logic assisted by Claude AI per founder. Marketing site: hand-rolled static HTML/CSS (assets/css/style.css, assets/img/*), hosted behind a CDN that 403s non-browser user-agents; third-party headline A/B script served from a Cloudflare Worker (g1sh.workers.dev). Content pipeline: automated study/podcast scraping refreshing protocol cards ~bi-weekly/monthly (mechanism undisclosed). No GitHub/open-source link found.
ТрекшнMixed and partly inflated — treat hard numbers as не подтверждено. Live App Store listing at fetch time showed only 5.0 from 9 ratings, version 2.4.6 updated ~6 days ago. The homepage claims "3000+ users, 120 protocols" and JSON-LD asserts 4.93 from 3714 reviews — contradicting the real App Store count, so the 3714/4.93 figures are not credible. Real signal is the founder's distribution: Michal Malewicz has a large design/UX following on X/LinkedIn and ran a visible build-in-public launch (verified posts Sep-Oct 2025). Genuine downloads/MAU/revenue: не подтверждено.
ПересечениеHigh thematic overlap, partial loop overlap. It hits expert-consensus protocols → jump-to-source paper/podcast → personal stack BUILDER → calm metric TRACKING, plus a $5/mo community at the exact same price point as Biohacking OS. Same "curate the experts honestly, user in the driver's seat, not an AI coach" thesis. Gaps vs our loop: no quiz/persona onboarding, no graded evidence corpus (effect_size×N×replication, Tier A/B/C), no honest-commerce layer (best/cheapest labs + evidence-passing supplements/devices), no controversy/consensus mapping. Crucially it is iOS-only and EN-only — it does NOT touch our core RU/UA-first, web-portal moat.
★ УкрастьThe swipe-to-build "deck of protocol cards" as the core interaction, fused with an auto-refreshing content pipeline that re-scans new studies/podcasts on a fixed cadence and stamps each protocol with a "last updated" freshness signal — it makes a knowledge base feel alive and trustworthy with near-zero ongoing editorial cost. Pair that freshness mechanic with OUR graded evidence bar (which Longevity Deck lacks) for a defensible "live + honestly graded" portal.
Что не такNo real evidence grading — it equates "a podcast/expert mentioned it" with "validated," exactly the hype-laundering our effect_size×N×replication bar exists to prevent. Self-contradicting/inflated social proof (3714 reviews & 4.93 in JSON-LD vs 9 ratings live) damages the "evidence-honest" trust it sells. iOS-only kills reach (no Android, no web, no RU/UA). "No server / it auto-searches new studies monthly" is hand-wavy and unverifiable — unclear how/whether the pipeline actually runs without a backend. Founder is a designer, not a scientist/clinician; appraisal depth is thin, leaning on the "NOT medical advice" disclaimer. Monetization is fuzzy ($5/mo Discord bolted onto a "non-monetized" app).
ВердиктA genuinely well-designed, fast-shipped, Claude-coded indie iOS app that mirrors most of the Biohacking OS loop and even our $5/mo price — strongest single-founder analog we've mapped on the build/track side. But it is iOS-only, EN-only, evidence-soft (no grading bar, no honest-commerce), and props itself up with inflated review numbers. It validates our category and interaction model rather than threatening our moat: it cannot reach RU/UA, has no web portal, and has no graded evidence engine. Watch the founder (high distribution, ships fast, could pivot/expand), steal the swipe-deck + freshness-cadence UX, and out-position on honest evidence grading, RU/UA web reach, and real labs/supplements commerce. Not a direct competitor today — an adjacent benchmark.
3/5 CoreStacks
Что этоSolo-founder, SEO-driven content site that curates and compares the supplement stacks of 5-6 longevity influencers (Huberman, Attia, Sinclair, Johnson, Stanfield, Patrick), wrapped around a few branded interactive tools: a 5-question Stack Quiz, a supplement Interaction Checker ("209 interactions across 67 supplements"), and an expert-comparison Research Hub. Founder Mike Hartnett frames it with a personal mission story (lost his father to heart disease, 7+ years self-research, 20+ supplement daily stack). Positioning: "No sponsors. No brand deals. Just independent analysis" and "we report on what these researchers actually say — we don't make our own health claims." Monetized via Amazon/affiliate links plus a free weekly newsletter.
ДоказательностьMiddle-tier honest, not high-bar. Strengths: explicit affiliate disclosure ("CoreStacks may earn a commission"); a dedicated "Where They Disagree: The Big Debates" section that genuinely surfaces controversy (NMN/NR, resveratrol, rapamycin) and admits "the human data, as of early 2026, is still limited"; cites real trials by name (VITAL, REDUCE-IT, Gliemann et al.). Weaknesses: evidence is graded with undefined subjective labels ("Strong"/"Moderate") — no effect_size × N × replication rigor; rarely quantifies benefit magnitude or sample size; inconsistent direct linking to primary papers (references experts/podcasts by name rather than embedding study or jump-to-source video links). It curates consensus rather than independently grading the evidence.
МонетизацияAffiliate (Amazon Associates + supplement-brand affiliate buttons throughout guides) + free weekly newsletter as the audience/email-capture engine. No paywall, no subscription, no own-brand supplement line visible.
Вайбкод-сигналыNot classic "vibecoded" — it's a WordPress content site, not a Lovable/v0/Bolt single-page app. Vibe signals are present in spirit though: single named maker, heavy AI-templated SEO content (near-identical "[Supplement]: Benefits, Dosage, and Best Brands (2026)" pages and "(2026)"-stamped comparison posts at scale), branded micro-tools (quiz/checker) bolted onto the CMS, lean affiliate+newsletter solo-maker playbook, "updates tracked within 48 hours" maker claim.
СтекWordPress (clear /wp-content/uploads/ paths, CMS nav patterns, cookie-consent + likely Google Analytics). Interactive tools (Stack Quiz, Interaction Checker) appear to be JS/plugin or custom embeds layered on WP rather than a separate app framework. No Next.js/Webflow/Framer/Carrd/Lovable signature detected. © 2026 footer; underlying domain/persona implies ~2017-2019 origin with a recent 2026 redesign/content refresh.
Трекшнне подтверждено. No Reddit, X/Twitter, press, or third-party reviews surfaced in search — only the site's own pages rank. Newsletter subscriber count, traffic, and revenue all unknown. The volume of 2026-stamped SEO articles suggests an active content push, but no independent audience signal could be verified.
ПересечениеHigh thematic overlap, the closest EN analogue found to the Biohacking OS loop: expert-consensus curation → quiz/persona → comparison/"stack builder" → honest commerce (affiliate). Same anti-guru framing and same monetization instinct (best/cheapest sourcing + affiliate). BUT key gaps vs us: EN-only (no RU/UA), no real high-bar evidence engine (effect_size×N×replication), no jump-to-source video, no calm habit/protocol tracker, no subscription product, no founder-owned supplement brand. It overlaps the front half of our loop (curation + quiz + commerce) but not the differentiated back half (graded evidence, tracking, $5/mo product).
★ УкрастьThe expert-stack comparison as a living, dated artifact — e.g. "Sinclair's Stack Changes: 2020→2026 Tracked" and "Where They Disagree: The Big Debates." Treating each guru's protocol as a versioned, change-tracked entity (with an explicit consensus-vs-controversy view) is a cheap, sticky, highly shareable content+SEO hook we can do far better by layering our real evidence grades on top.
Что не такEvidence rigor is cosmetic — "Strong/Moderate" labels with no defined criteria, no effect sizes/N/replication, inconsistent primary-source linking — so it's consensus-aggregation dressed as evidence, exactly the gap our high-bar atlas exploits. It's also affiliate-incentive-conflicted (revenue depends on people buying supplements, which quietly pressures toward "take this" over "this doesn't clear the bar"). No tracking/builder retention layer, no persona depth beyond a 5-question quiz, and zero RU/UA reach.
ВердиктReal, live, competent solo-maker affiliate site and the single closest EN execution of our front-of-funnel (expert curation → quiz → comparison → honest-ish commerce). Worth watching and learning from for content format and tool packaging. But it is not an evidence-honest product in our sense — its grading is subjective, it's affiliate-conflicted, EN-only, and it lacks the back half of our loop (graded evidence corpus, jump-to-source video, habit tracker, subscription, owned brand). Threat 3/5: validates our thesis and could out-SEO us in EN supplements, but does not threaten the RU/UA market or our high-bar evidence + tracking moat. Borrow its comparison/change-tracking format; out-build it on rigor, language, and the tracker/subscription layer.
3/5 SupplementScience.org
Что этоA free, visual evidence-graded "what does the science actually say" wiki for supplements. Live UI claims 5,361 clinical studies across 486 supplements and 770 health goals (2.07M cumulative participants). Each supplement gets an overall rating (Weak / Moderate / Strong / Very Strong), category-level breakdowns by health goal, study-quality charts (e.g. "0/8 randomized, double-blind, placebo-controlled"), per-study cards (year, N, duration, dosage, result, methodology) and direct PubMed links. Filters: evidence strength, study type (human vs animal/in-vitro), min study count (5/10/20/50+), min participants (100/500/1k/5k+). Has a blog. No login, no commerce, no ads.
ДоказательностьGenuinely the strongest part and the most strategically threatening. Explicit grading tiers tied to study quality; surfaces study type, N, RCT/double-blind/placebo counts, and links out to PubMed per study. Leads with limitations rather than hype (e.g. flags "0 human studies", small N). BUT: it shows directional outcomes and counts only — no true effect-size magnitude, no formal replication scoring, and no consensus/controversy framing. "Plain English, no marketing fluff" disclaimer + "educational, not medical advice." Honest by indie standards, shallower than its own grading language implies.
МонетизацияNone. "It's completely free — and always will be." No ads, no paywall, no affiliate/buy links, no newsletter, no product sales. (Note: the unrelated commercial sibling supplementscience.ai runs Amazon-affiliate monetization — different operator, do not conflate.)
Вайбкод-сигналыStrong. (1) Three DIFFERENT hardcoded scale numbers across the codebase — live UI "5,361 studies / 486 supplements", meta description "2,200+ / 209", and a baked-in JS reset string "650+ / 48" — the signature of a site rapidly regenerated/re-prompted in place without cleaning stale copy. (2) Aggressive cache-buster versioning: script.js?v=50, render-shared.js?v=26, data/index.json?v=28 — ~50 hand-iterations of one script. (3) Hand-written vanilla-JS SPA (single 110KB script.js, client-side router, no framework/bundler). (4) Footer "Made With Love In Ukraine" + /founders.jpg founder photo + grassroots "thousands of hours, free forever" framing. (5) Single-purpose data-viz aesthetic, native share buttons (X/FB/Reddit/WhatsApp/email) rather than owned social presence.
СтекStatic site on Vercel (server: Vercel, x-vercel-cache HIT, fra1 region). Hand-coded vanilla JS — NOT React/Next/Vue/Vite (no bundler hashes, no _next, no generator tag). Two plain scripts (script.js, render-shared.js) + static JSON data layer (/data/index.json, /data/studies.json, /data/blog/index.json) acting as the "database" — no real backend/API/Supabase/Firebase. Google Analytics (gtag G-54GXEY7B48). Evidence: raw HTML/headers and the readable, un-minified script.js fetched directly. Consistent with AI-assisted (Claude/Cursor/v0-style) coding rather than a no-code builder like Lovable/Carrd/Framer.
Трекшнне подтверждено. No public user/audience numbers, no funding, no linked X/Telegram/Instagram following, no press found in search. last-modified May 2026 indicates active maintenance. Self-reported "thousands of hours" only. GA present but data private.
ПересечениеHigh on the front half of our loop, low on the back half. It nails the curated, evidence-graded "what works" wiki with study-type/N filters and jump-to-PubMed — the exact knowledge-portal layer of Biohacking OS, and from a UA team, making it the most thesis-adjacent rival in the RU/UA field. BUT it is English-only (cedes RU/UA-language audience), supplements-only (no sleep/dopamine/metabolic/longevity breadth), and stops at the wiki: no quiz/persona, no protocol/habit builder, no calm tracking, no honest commerce. It is essentially our portal layer with no product loop and no monetization.
★ УкрастьThe filter-the-evidence UX: let users gate the entire database by study type (human-only), minimum N, and minimum study count, with per-supplement quality charts ("X/Y randomized, double-blind, placebo-controlled") and one-click jump-to-PubMed on every study card. It makes evidence-honesty feel like a product, not a disclaimer — and it ships as plain static JSON, so it's cheap and fast.
Что не такGrades on study COUNT and direction, not magnitude or replication — no real effect_size and no replication scoring despite "Very Strong / Strong" tiers implying rigor (overclaims its own bar). No expert-consensus/controversy layer, no jump-to-source VIDEO. English-only abandons the RU/UA-language opening. Supplements-only — no protocols, habits, sleep/dopamine/metabolic breadth. No persona/quiz, no builder, no tracking. Zero monetization and zero owned audience = fragile, hobby-grade sustainability. Sloppy stale counts (5,361 vs 2,200 vs 650) undercut the "trust us, we're precise" positioning.
ВердиктReal, live, and the closest UA-built embodiment of our portal thesis — a credible, evidence-graded supplement wiki with genuinely good filter-the-evidence UX worth copying. But it's only the top of our funnel: supplements-only, English-only, no effect-size/replication depth, no persona→builder→tracking→commerce loop, no monetization, no proven audience. It validates the thesis and sets a UX bar for the knowledge layer without competing on the product loop or the RU/UA-language market. Threat 3/5: beat it on breadth, the RU/UA language, a true effect_size×N×replication bar, and by turning the wiki into a builder.
3/5 IQ Healthspan
Что этоSolo-built, evidence-based longevity knowledge portal + free interactive tool suite. Founder Derek Giordano (explicitly "not a physician or researcher," self-described curious entrepreneur/lifelong learner). 150+ articles with 800+ citations framed around the 12 hallmarks of aging, 5 mini-courses (31 lessons), plus ~19 free no-account tools: Bio Age Calculator, Lab Results Interpreter (standard vs longevity-optimal ranges), 42-compound A–Rx Supplement Evidence Database, Stack Builder, AI Protocol Builder, AI Longevity Coach, Protocol Showdown/Cost Comparison, Gene Variant Lookup, Clinical Trial Tracker, Interaction Checker, Nutrition Calculator, and a localStorage "My Dashboard." Stance: zero paywalls, no supplement/pharma/clinic sponsorship.
ДоказательностьExplicit and fairly strong on paper. Published A–Rx grading rubric (A = multiple human RCTs with consistent effects; B = >=1 quality RCT/cohort + mechanism; C = animal/mechanistic only; D = weak/absent human evidence; Rx = needs physician oversight). Replication is a stated gate ("a single positive trial cannot achieve Grade A without replication"). Calls out hype directly (resveratrol = Grade D "despite being a marketing darling"; only 6 of 42 compounds reach Grade A). Declares no conflicts of interest, no sponsorships, E-E-A-T compliance, quarterly updates. Transparently discloses AI is used for "literature review, initial drafting, data organization, and code development for interactive tools," all reviewed by the founder. Weakness: effect_size x N are NOT formal grading inputs (only replication is explicit), and per-compound full citation lists aren't clearly surfaced — so the bar is softer than its marketing implies.
МонетизацияNone visible. Zero paywalls, no account, no e-commerce, no affiliate links, no ads, no newsletter capture found. Currently a non-commercial credibility/portfolio play; monetization path unproven.
Вайбкод-сигналыVery high. About page openly states AI assists with "code development for interactive tools." Hand-rolled static site (shared-styles.css + vanilla js/shared-nav.js, no React/Next/framework bundle), Netlify-hosted with pretty-URL routing, Google Fonts, GA4, JSON-LD. ~19 tools shipped fast by a solo non-credentialed founder, no account system (dashboard persists via localStorage only). Founded 2025. Smoking gun: the AI Protocol Builder fires fetch("https://api.anthropic.com/v1/messages") with model claude-sonnet-4-20250514 directly from the browser with no Netlify-function proxy — i.e. the Anthropic API key is almost certainly exposed client-side, a textbook vibecoded security/cost mistake.
СтекStatic HTML/CSS + vanilla JS on Netlify (server: Netlify header, x-nf-request-id, pretty URLs). No SPA framework detected. GA4 (G-M3SH9T4Q0L), JSON-LD schema, Google Fonts. AI tools call the Anthropic Claude API (claude-sonnet-4) client-side. Content/tooling AI-assisted per founder's own disclosure (Cursor/Claude-style workflow). No backend DB; client-side localStorage for "tracking."
Трекшнне подтверждено. Founded 2025, solo founder with a LinkedIn link; no follower counts, no newsletter, no verified Reddit/X buzz. Social handles surfaced in search ("Longevity IQ" on FB/X) appear unrelated to this domain. No reviews or audience metrics found.
ПересечениеHigh whole-product overlap — arguably the closest single-site analog seen. It independently assembled nearly the same loop: curated evidence wiki + explicit evidence grading + quiz/score + protocol/stack builder + calm tracking dashboard + an evidence-honest, no-sponsorship stance. Key divergences that protect us: (1) it is English/Spanish only — no RU/UA, our core field; (2) no commerce layer at all (we do honest labs+supplements commerce, and founder owns Perla); (3) free/no-account, no subscription, vs our ~$5/mo; (4) its grading omits effect_size x N rigor we intend to lead with; (5) no jump-to-source video, no persona depth.
★ УкрастьThe published, plain-English A–Rx grading rubric used as a trust device — pairing it with deliberate anti-hype "gotchas" (resveratrol = D; only 6/42 compounds reach A). Loudly publishing the bar AND the failures is cheap, screenshot-able credibility marketing. Also worth copying: the transparent "how we use AI + zero sponsorship" disclosure as a standalone trust page.
Что не такEvidence bar is softer than its branding claims — replication is gated but effect_size x N are not formal grading inputs, and per-compound citations aren't clearly exposed, so grades rest partly on a non-credentialed solo author's judgment ("not a physician or researcher"). "Tracking" is browser localStorage only — no real account, data is device-bound and easily lost. The client-side Anthropic API call is a security/cost liability (likely exposed key, abusable, no rate limiting). Breadth-over-validation: 19 tools shipped fast with thin individual QA. No RU/UA, no commerce, no proven distribution or revenue model.
ВердиктA real, live, and unusually complete solo-built competitor that validates the exact Biohacking OS thesis — evidence-honest portal + grading + builder + tracker — and proves one motivated indie can ship the whole loop with AI. But it is a credibility project, not a business: English/Spanish only (no RU/UA moat), no commerce, no subscription, localStorage-only "tracking," a softer-than-advertised evidence bar, and a leaky client-side Claude key. Threat 3/5: it could out-publish us on EN longevity content and is a strong design reference, yet it does not contest our language market, our honest-commerce model, or a higher effect_size x N x replication bar. Watch it; borrow the public grading rubric and trust-disclosure pages; out-execute on RU/UA, real tracking, and commerce.
3/5 Stack Tracker
Что этоA supplement/peptide/biologics protocol BUILDER + dose TRACKER pitched as "the operating system for the Optimized Individual." Marketing site is WordPress; the actual product is a login-gated Next.js web app (PWA-installable) at stacktracker.co/app. Features: Vision Scan AI (label parsing), Daily Brief with one-click dose logging, Protocol Builder, peptide dosage calculator (mg/mcg/IU), interactive half-life visualizations, Protocol Vault (community-shared stacks), a Health Hub aggregating wearables/body-comp/labs, BioTracker Score (data completeness/consistency/participation metric), advanced scheduling/cycle management, and a StackPilot AI assistant.
ДоказательностьTracking-first, not evidence-first. Notably the About page self-aware concedes "n=1 isn't clinical evidence" — but there are NO citations, no effect-size x N x replication grading, no jump-to-source, and no visible medical/regulatory disclaimer on key pages. Protocol Vault surfaces popular community stacks (popularity, not evidence quality). Frames itself around "personal optimization" and n=1 self-experimentation rather than expert consensus. So: honest in tone, but provides no actual sourcing apparatus.
МонетизацияSaaS subscription via WooCommerce Memberships + Stripe. Pro $59/yr ($9.99/mo); Creator Pro $199/yr ($19.99/mo); 14-day free trial, "price locked for life." Creator Pro adds affiliate integration + 5% referral commissions — a live working example of the "honest commerce"/creator-affiliate layer. No own supplement brand evident (unlike Perla-backed Biohacking OS).
Вайбкод-сигналыModern-indie polish (single-purpose marketing page, AI Vision Scan label parsing, computed BioTracker Score, shareable community stacks, tiered subscriptions, PWA install) — but it is NOT a Cursor/Lovable/v0/Bolt no-code MVP. The marketing front is WordPress (Elementor Pro, Rank Math, WP Rocket, PWA plugins) and the app is a real Next.js build. Tells of fast/agency setup rather than vibecoding: og:site_name left as "Default Install", recycled 2020/2022 WordPress post dates, schema Person name "Default Install", no team/legal disclosure.
СтекMarketing site: WordPress on PHP 8.4 behind Cloudflare, Elementor + Elementor Pro, WooCommerce + WooCommerce Memberships + WooCommerce Stripe Gateway, WP Rocket, Rank Math SEO, PWA-for-WP. Product app: separate Next.js SPA served under /app (login at /app/auth/login). Evidence: raw HTML plugin paths, x-powered-by PHP, x-redirect-by WordPress, "Next" markers on /app. AI features (Vision Scan, StackPilot) imply an LLM/vision API on the backend.
Трекшнне подтверждено. No user counts, ratings, reviews, launch announcement, funding, or press found. Only confirmed signal: listed/exhibited at Biohackers World Expo LA (Mar 2026) and a directory listing on biohackers.world. Homepage testimonials are first-name-only (Jamie L., Elena R., Sara J.) — unverifiable. Domain has old post dates but was substantively rebuilt ~Feb-Jun 2026, suggesting a recent (2026) relaunch/launch.
ПересечениеMedium-high on execution layers, low on our core moat. It hits 3 of our pillars simultaneously — protocol/habit BUILDER, calm TRACKING (Daily Brief, BioTracker Score), and commerce (Creator Pro affiliate + 5% referrals) — making it the closest live analog to our "honest commerce" monetization. BUT it is missing our differentiator entirely: the curated, evidence-graded KNOWLEDGE PORTAL (expert consensus + controversy, effect_size x N x replication, jump-to-source). It is a tracker for people who already know their stack, not a guide that tells you what's worth doing. Zero RU/UA overlap — different market.
★ УкрастьCreator Pro tier ($199/yr) with built-in affiliate integration + 5% referral commissions — a concrete, shippable template for our "honest commerce" layer that turns biohacking creators/coaches into a distribution channel. Also worth borrowing: the "BioTracker Score" as a single calm engagement metric, and the half-life visualization as a genuinely useful, sticky widget. And tactically: showing up in person at biohacker expos as a cheap credibility/traction play.
Что не такNo evidence apparatus — no citations, no grading, no source links — so it can't answer "does this actually work?", only "did you take it?" Concedes "n=1 isn't evidence" yet builds a popularity-ranked Protocol Vault that risks amplifying hype stacks (peptides) without a quality bar. Zero team/founder/legal transparency on-site (no medical disclaimer surfaced) despite peptide-dosing features — a compliance and trust gap. English/US-only, no RU/UA. Sloppy setup tells ("Default Install" OG tag). Aimed at advanced self-optimizers already deep in stacks — weak top-of-funnel for newcomers, which is where our quiz/persona + knowledge portal wins.
ВердиктReal, recently-relaunched (2026) US indie product from a WordPress agency operator (Michael Cremean / Quadshot Digital) — competently built on WP+Next, not a no-code vibecoded MVP. It is the strongest live proof-of-concept of our builder+tracker+creator-commerce loop, and its Creator Pro affiliate model is directly worth copying. But it deliberately stays in tracking/optimization and skips the evidence-graded knowledge portal that is Biohacking OS's actual moat, and it has no RU/UA footprint. Threat 3/5: validates our market and could out-execute us on tracker UX and creator monetization, but does not compete on evidence-honesty or in our home region. Watch it; don't fear it.
2/5 Neural Hack
Что этоA Russian-language solo-author blog/knowledge base on "neurohacking" — nootropics, racetams, peptides, psychedelics (LSD/MDMA/DMT/psilocybin/Amanita), adaptogens, neurohormones (dopamine/serotonin), plus a philosophy section ("Кофейня Разума"). Mix of explainer articles, personal "репорты" (experience reports), and substance/stack write-ups under a single persona, "Mr Clever" (Филипп, also on Medium as mr-clever1987). Has an attached supplement "shop" and offers psychology consultations/coaching. Active since ~2020 (migrated from neuralhack.wordpress.com to self-hosted .org).
ДоказательностьWeak to none. Articles reference concepts (cortisol, dopamine, ultradian rhythms) as general knowledge with essentially no formal citations, no links to studies, and no evidence grading. No effect-size/N/replication framing. The "Who are biohackers" piece carries the line "Материал написан при поддержке сообщества Biohacking Unit Shop" — i.e. commerce-sponsored content presented as education. No safety disclaimers, side-effect warnings, or "consult a doctor" notes on the article checked, despite covering scheduled/grey-market substances. Tone is advocacy + personal philosophy stating claims as fact.
МонетизацияOwn supplement catalog ("Biohacking Unite" / "Biohacking Unit Shop") + paid psychology consultations and personal coaching. The /shop/ page shows nootropics, stimulants, creatine, protein, fat burners, peptides — but displays NO prices and is NOT a working WooCommerce checkout; every product links out to a Telegram contact (t.me/Tochnol). Also advertises white-label/private-label manufacturing ("Любые добавки под ваш бренд. Капсуляция, фасовка, упаковка"). Effectively a content funnel into a Telegram-fulfilled grey-market supplement sale.
Вайбкод-сигналыLow / none. This is NOT a vibecoded AI-built app — it predates the wave (live since 2020). Signals point to a classic WordPress blog: dated /YYYY/MM/DD/slug permalinks, category taxonomy, featured images, page/2 page/3 pagination, prior life on wordpress.com. Indie passion-project signal is the consistent single authorial persona ("Mr Clever"), personal disclaimers/guest-contribution invites, and Telegram-based commerce — but the build is a CMS template, not a Lovable/v0/Bolt SPA.
СтекSelf-hosted WordPress (strong evidence: dated permalink structure, category archives, /page/N/ pagination, featured-image post format, and an earlier neuralhack.wordpress.com origin). Shop is a non-transactional WP page/catalog, not real WooCommerce — fulfillment via Telegram (t.me/Tochnol). Author cross-posts on Medium (mr-clever1987).
Трекшнне подтверждено. No follower counts, traffic, or revenue verifiable. Operating since 2020 with multi-page archive (page 2, 3+) suggests sustained but small output. A linked Medium author account exists but engagement numbers were not retrievable. No reviews, press, or community-size signals found.
ПересечениеModerate and topical, but shallow on our differentiators. Same RU niche (nootropics/biohacking) and same content-plus-commerce shape that Biohacking OS uses. BUT: it is the OPPOSITE of evidence-honest (sponsored, uncited, no grading, no source jump-to-video), has NO interactive layer (no quiz/persona, no protocol/habit builder, no tracking), and its commerce is grey-market Telegram-fulfilled substances rather than curated best/cheapest labs + evidence-passing products. It overlaps our "RU biohacking knowledge + shop" surface but not our core loop or positioning.
★ УкрастьThe single trusted-persona voice ("Mr Clever") carrying the whole knowledge base — a named, opinionated human author with personal "репорты" builds RU-audience trust far better than a faceless wiki. We can keep evidence-honesty while still fronting a consistent, opinionated expert persona and first-person experience notes alongside the graded evidence.
Что не такEvidence discipline (zero citations, sponsored content dressed as education), safety (no disclaimers on psychedelics/grey-market compounds), and commerce trust (no prices, no real checkout, sales pushed into a Telegram DM with a private-label manufacturing angle — reads as grey-market supplement flipping). No interactivity, no personalization, no tracking — it's a static blog, not a product.
ВердиктReal, long-running RU indie biohacking blog in our exact topic lane, but it competes on audience/voice, not on what makes Biohacking OS distinct. It is evidence-dishonest, has no interactive builder, and monetizes via a price-less Telegram grey-market supplement funnel. Not a vibecoded threat and not a product — a content-and-commerce blog. Watch it as a niche-credibility incumbent to learn persona/voice from, but it is unlikely to beat us to the evidence-honest, interactive, calm-commerce position. Threat: low-moderate (2/5).
2/5 SuppTrack
Что этоA native iOS/Android supplement-specific tracker. Core loop: scan a bottle barcode (or search) against a 189k-product / 6k-brand / 5.8k-ingredient database -> see ingredient forms + daily aggregated vitamin/mineral totals + cross-product overlap -> group products into goal-based "stacks" (sleep, athletic recovery, longevity/healthy aging, stress/adaptation) -> set per-time-of-day schedules and reminders -> export a shareable PDF of the routine. Coming soon: StackScore and PillFill organizer support. Explicitly positions itself AGAINST generic food/calorie loggers ("exact products, barcode matches, ingredient forms... not food items").
ДоказательностьHonest by omission — and that is the key strategic gap. The /methodology page (last reviewed May 1, 2026) covers ONLY product/label-data accuracy: sourcing from on-package labels, manufacturer sites, official retailers; automated checks for label completeness, unit/serving validation, ingredient normalization; manual form-mapping review. It makes ZERO efficacy or clinical claims and explicitly disclaims them: "No medical advice; for informational purposes only" + standard FDA disclaimer. There is no effect_size x N x replication grading, no controversy/consensus layer, no jump-to-source. "Evidence" here means "we transcribed the label correctly," not "does this ingredient work."
МонетизацияFreemium subscription. 7-day full-feature trial, then $14.99/year (annual) or $59.99 lifetime. No supplement/lab commerce, no affiliate marketplace visible — pure app subscription. Note: ~3x our ~$5/mo price point, but billed annually so cheaper than a typical monthly SaaS.
Вайбкод-сигналыWeak / largely false. The candidate brief tagged this as indie-vibecoded, but verification undercuts that. Real incorporated company (SuppTrack, Inc.), two named credible founders, native iOS+Android apps (60.5 MB, requires iOS 15.1+, Mac M1 build), version 55.4 (very high build number = sustained iterative development, not a one-shot MVP), a maintained methodology/data-sourcing page, privacy policy + ToS. The only "indie" signals are the small two-person distributed team and the marketing-site Next.js stack. This is a deliberately scoped indie product, not an AI-coded weekend build.
СтекMarketing site: Next.js (image URLs reference /_next/ paths, responsive image optimization) — standard, could be Vercel-hosted. Mobile apps are genuine native builds (Apple App Store id6502848329, Google Play supptrack.supptrack.app), not a wrapped webview MVP given the 60.5 MB size, barcode-scanning, and Mac (M1) compatibility. The 189k-product database implies a real backend/data pipeline with editorial review queue, not a no-code tool. No Lovable/v0/Bolt/Carrd/Framer fingerprints found.
ТрекшнMixed and thin-but-real. App Store: 3.7 stars from only 3 ratings (very low review volume) — reviews praise scheduling/reminders/barcode scanning, complain about support responsiveness and database coverage gaps. Founder distribution is the real asset: Bob Troia is "Quantified Bob," an established Quantified-Self/biohacking personality (active Instagram, X @supptrack, LinkedIn, blog quantifiedbob.com, GitHub). Earliest public mention ~Dec 2, 2025, so launched late 2025. Hard usage/revenue numbers: не подтверждено.
ПересечениеPartial — overlaps exactly ONE layer of Biohacking OS: the calm-tracking + goal-based stack/protocol builder, and it uses the same persona framing we use (sleep / longevity / stress / performance). For supplement tracking specifically it is more mature than our planned MVP (real 189k-product barcode DB, ingredient-form analysis, overlap detection). BUT it has zero overlap on our defensible core: no curated knowledge portal, no consensus/controversy mapping, no high-bar evidence grading, no jump-to-source video, no quiz/persona funnel, no honest commerce (labs/supplements), no RU/UA market. It is a vitamin-totals utility; we are an evidence-honest knowledge+commerce product. Different center of gravity.
★ УкрастьThe barcode-to-structured-ingredient pipeline feeding daily AGGREGATED vitamin/mineral totals + cross-product OVERLAP detection. "You're stacking 3 products that each have B6 — your daily total is 4x the RDA" is a concrete, sticky, anxiety-reducing hook that turns a passive tracker into an active advisor. Pairing that overlap/total engine with our evidence-grading layer ("...and here's whether that dose even has evidence behind it") is something SuppTrack structurally cannot do, because they've explicitly disclaimed efficacy.
Что не такThree weaknesses. (1) Efficacy blind spot: it tells you what's in the bottle and the dose, never whether the ingredient works or whether the dose is evidence-backed — purely a label-accuracy product. (2) US/EN-only, no localization, irrelevant to the RU/UA field we care about. (3) Utility ceiling: a single-purpose tracker with no content/knowledge layer has weak top-of-funnel and weak retention beyond habitual reminders — reflected in only 3 App Store ratings and complaints about database gaps and support. It's a feature, not a movement.
ВердиктReal, live, credibly-built indie product — but a narrow adjacent utility, not a competitor to Biohacking OS's thesis. Mislabeled as vibecoded: it's a deliberately scoped native app (v55.4, real company, two experienced founders incl. biohacking personality Bob Troia) that does ONE layer of our loop — calm tracking + goal-based stack building — better than our MVP would, while deliberately refusing the evidence/efficacy layer that is our entire differentiator. Threat 2/5: watch it as the best-in-class reference for the supplement-tracking sub-feature and for Troia's audience reach, but it cannot pivot into evidence-honest knowledge or RU/UA without becoming a different product. Steal the overlap/daily-totals engine; out-compete on evidence grading, knowledge portal, and localization.
2/5 NootropicStacker
Что этоA free, single-page "PCPartPicker for nootropics." Users pick from a database of 195 compounds and get a live composite "Stack Score" (0-100, built from four 0-25 dimensions: synergy, coverage, balance, efficiency), plus interaction/safety warnings, mechanism-group detection, side-by-side stack comparisons, a persona quiz (/quiz), a curated "top stacks" browse page (/stacks) with editorial product reviews (e.g. Qualia Mind), and the core builder (/build). Positions itself as an educational tool, "not medical advice," with claims linked to PubMed. No signup/login required to use the builder.
ДоказательностьExplicitly evidence-flavored: marketing copy says "Every claim links to PubMed" and "60+ interactions mapped," and the page ships MedicalWebPage JSON-LD with a reviewedBy editorial reviewer ("Vera Huang, UCSD Neuroscience, CMO"). However the bundle contains only ~8 PubMed string references — light for a "every claim" promise — and the reviewer has NO verifiable public footprint (no UCSD directory, Scholar, or PubMed hit found). So the honesty is presentation-layer / E-E-A-T scaffolding aimed at AI answer engines rather than a demonstrably high evidence bar (no effect_size × N × replication grading). Disclaimer ("educational, not medical advice") is present.
МонетизацияAffiliate-only. Amazon Associates tag nootropicstk-20 (36+ tagged links) plus iHerb affiliate links throughout the compound database, and editorial product reviews that funnel to buy links (incl. branded vendors like Nordic Naturals, "Buy Modafinil Online"). No subscription/paywall: the "Premium/UPGRADE" strings are React internals and product-copy, not a paid tier. Free tool monetized purely by supplement affiliate commissions.
Вайбкод-сигналыStrong vibecoded MVP profile: Vite + React single-page app (assets/index-*.js, type=module, /build, /quiz, /stacks client routes), single 760 KB JS bundle, narrow "PCPartPicker for X" niche positioning, free no-signup tool, quiz + computed-score UI, dark theme. Heavy GEO/AEO polish for a solo build: inline JSON-LD (Organization, MedicalWebPage+reviewedBy, SoftwareApplication, BreadcrumbList), noscript fallback hero mirroring the headline for GPTBot/ClaudeBot/PerplexityBot, Plausible + GA4 dual analytics. A fabricated-looking "CMO/neuroscience reviewer" credential is itself a classic AI-generated-trust-signal tell.
СтекVite-bundled React SPA (confirmed: /assets/index-[hash].js ES module, hashed CSS, react/vite strings, ReactDOM internals in bundle). Static hosting (likely Vercel/Netlify/Cloudflare Pages). Analytics: Plausible (primary, "board approved" per comment) + GA4 transitional (G-FZEY2PKWFQ). No visible backend/DB/auth in the client (no Supabase/Firebase/Stripe strings) — data appears bundled client-side. No Lovable/v0/Bolt builder badge in HTML, but the toolchain and polish are consistent with an AI-assisted (Cursor/Claude) Vite build.
Трекшнне подтверждено. Site is live and indexed; only social presence is @nootropicstacker on Twitter/X (referenced in JSON-LD/meta, audience size unverified). No Reddit/HN/Product Hunt launch threads found, no review coverage, no Telegram/Instagram. Reviewer "Vera Huang" unverifiable. No public user/visitor numbers.
ПересечениеHigh on the BUILDER axis, low overall. It nails exactly the loop Biohacking OS wants on the consumer side: item-picking → live composite score → interaction/safety warnings → persona quiz → affiliate commerce. But it is EN-only (no RU/UA framing, our core wedge), single-niche (nootropics only, not sleep/metabolic/longevity breadth), affiliate-only (no $5/mo membership, no labs/best-cheapest commerce), and its "evidence" is E-E-A-T theater rather than a real effect_size×N×replication bar — the opposite of our evidence-honest positioning. No calm-tracking/habit layer. Overlap is on mechanics, not on market or trust model.
★ УкрастьThe "Stack Score" decomposition: one 0-100 headline number broken into four legible 0-25 sub-dimensions (synergy, coverage, balance, efficiency) that update live as you add items. It makes an abstract "is my stack good?" question feel objective and gamified, and gives users a reason to keep tweaking. We can do the same but anchor each sub-score to our real evidence grades (Tier A/B/C × effect size × N) instead of hand-wavy synergy — turning their gamification into an honest, defensible composite.
Что не такEvidence honesty is largely a facade: "every claim links to PubMed" but only ~8 PubMed refs in the bundle; a "UCSD neuroscience CMO reviewer" with zero verifiable existence (likely fabricated E-E-A-T) — a credibility risk we must NOT imitate. The affiliate model quietly biases recommendations (links to branded vendors and even "Buy Modafinil Online"), undercutting neutrality. No source-jump video, no dosing safety depth beyond "60+ interactions," no tracking/habit loop, single language, single niche. It optimizes for AI-answer-engine citability and affiliate clicks more than for genuine user evidence literacy.
ВердиктReal, live, well-executed solo/vibecoded MVP that is the closest functional twin to our builder loop — but it's an EN-only nootropics affiliate funnel dressed in evidence/E-E-A-T costume, not an evidence-honest portal and not in our RU/UA market. Threat 2/5: validates that the picker→Stack Score→interaction→quiz UX resonates and is buildable solo, and worth monitoring for breadth/RU expansion, but its fabricated-reviewer + affiliate-bias approach is exactly the trust gap Biohacking OS should exploit, not fear. Steal the four-dimension live composite score; ground it in real evidence grades and labs-first honest commerce.
2/5 Dope Amino
Что этоA tiny single-creator Russian supplement e-shop. Verified live: sells exactly 3 SKUs — Creatine Monohydrate (1500₽), Magnesium Glycinate (1200₽), L-Theanine (1500₽). Free shipping over 2000₽, support hours Пн-вс 10:00–22:00, contact dopeamino@yandex.ru, Telegram link (t.me/dopeamino) in footer. Carries the БАД legal disclaimer "БАД. Не является лекарством. Имеются противопоказания." Positioned as the commerce arm of a dopamine/focus content brand (the "Dopenomics"/@hyperfocuser angle from the brief), though that portal linkage is not independently verifiable — see traction. The product mix (creatine + mag glycinate + L-theanine) is precisely the "focus/dopamine stack" a content channel would upsell.
ДоказательностьEffectively none on-site. No effect-size, sample-size, replication, or citations next to products — just SKU + price + the mandatory БАД "not a medicine, contraindications exist" legal disclaimer. Any "this works for focus/dopamine" framing lives upstream in the content channel, not on the store. This is a marketing storefront, not an evidence layer.
МонетизацияDirect DTC product sales (own/curated supplement SKUs), 1200–1500₽ each. Free-shipping threshold (2000₽) nudges multi-item baskets. Gift cards present. No subscription, no SaaS, no info-product on the store itself; monetization = moving a tight curated SKU list to an existing audience.
Вайбкод-сигналыMinimal-MVP e-com polish: 3-SKU catalog, personal yandex.ru email as the contact, Telegram link in footer, БАД disclaimer, weekday hours. Single-creator feel. NOT obviously AI/Lovable/v0-coded though — it runs on a real hosted e-commerce engine (see stack), so the "vibecoded" signal here is solo-founder/MVP scrappiness rather than a generated single-page app. The @hyperfocuser/Dopenomics owner overlap claimed in the brief is consistent with a one-person content+commerce stack but I could not independently verify the same owner.
СтекInsales (Russian Shopify-equivalent SaaS e-commerce platform) — fingerprinted from the product-card/cart/catalog architecture. Standard hosted store template (catalog, gift cards, certificates/licenses page, favorites, account). NOT Tilda/Bitrix/Shopify/Webflow/Lovable/v0 — no fingerprints of those found. So: no-code/low-code hosted shop, not a hand-coded or AI-generated SPA.
Трекшнне подтверждено. Site resolves and is real, but no public traction signals found: no third-party reviews, no subscriber count (Telegram preview was ambiguous — the t.me/dopeamino handle resolved to an unrelated "Ocean" channel, so even the channel size/identity is unconfirmed), no press, no launch date indexed. The Dopenomics portal + @hyperfocuser same-owner linkage from the brief could NOT be independently verified via search and should be treated as unconfirmed.
ПересечениеLow–moderate, and only on the commerce tail. It overlaps Biohacking OS's "honest commerce / own evidence-passing supplement brand" endpoint and the RU-language + Telegram-audience axis. It does NOT overlap the core of our product: no knowledge portal, no evidence grading, no quiz/persona, no protocol/habit builder, no tracking, no jump-to-source. It is the last 10% of our loop (a tiny SKU shop) without the first 90% (the curated evidence-honest knowledge engine). Useful as a proof-point of the founder-owns-the-brand model (mirrors Perla), not as a feature competitor.
★ УкрастьThe disciplined 3-SKU curation tied to one intent ("focus/dopamine"): creatine + magnesium glycinate + L-theanine is a clean, defensible "evidence-passing starter stack." Mirror this in Biohacking OS commerce — a tiny named stack per persona/protocol, each SKU justified by our evidence bar, sold straight off the protocol builder. Also worth copying: the content-channel → minimal curated store handoff (audience does the trust-building, store stays a 3-item checkout).
Что не такIt's a storefront with zero evidence layer — no effect_size/N/replication, no sourcing, no controversy/consensus context; just price tags behind a legal БАД disclaimer. No protocol builder, persona/quiz, tracking, or jump-to-source. Trust depends entirely on the (unverified) upstream channel; if the audience link is weak, it's an undifferentiated 3-SKU shop competing on a crowded RU supplement market (5lb, amino-shop, primekraft). This is exactly the gap Biohacking OS fills: the evidence-honest knowledge loop that earns the sale, which this site simply doesn't have.
ВердиктReal but tiny. A live Insales solo-founder supplement shop (3 SKUs, RU, Telegram-fed, БАД disclaimer) that validates our "founder owns an evidence-passing supplement brand" commerce thesis — the same shape as Perla — but is NOT a product competitor: it has none of our portal/evidence/builder/tracking loop. Threat 2/5. Treat it as a useful commerce-model reference point and a candidate to map the @hyperfocuser/Dopenomics content+commerce operator, not as a rival to out-build. Note honestly: the same-owner portal linkage and all traction are не подтверждено.
2/5 Sain (Сэйн)
Что этоRussian WellTech consumer health app — an AI "health assistant/coach" that unifies nutrition, movement (activity), sleep, and mindfulness ("Сознание") into one platform with a composite "Life Quality Index." Headline: "SAIN — это твоя система здоровья без хаоса" (your health system without chaos). Flagship feature is AI food-photo recognition (identifies composition, calories, quality, allergens for the individual user). Syncs with Apple Health / Google Fit. Positioning is explicitly anti-restriction, anti-authoritarian, "WELLcare" — prevention woven into daily life, "technology quietly works in the background to support, not evaluate." Live iOS app (App Store id 6752807532) + single-screen marketing landing at sain.one with one App Store CTA plus Telegram/Instagram (@sain.app) links.
ДоказательностьNo evidence/sourcing layer at all. There is no citation, study reference, effect-size or replication framing — the credibility play is "personalized AI + 1 in-house nutritionist + pathways to vetted specialists," not literature. Positioning leans on a soft brand promise ("support, not evaluate") rather than evidence. This is the opposite of evidence-honest commerce; it asks for trust in the algorithm. Privacy disclosure does exist (collects health data, contacts, user content for analytics/personalization).
МонетизацияCurrently free; App Store lists it as "Free" and the Product Radar piece calls it a free service. App Store notes it "contains advertising." No subscription tiers or IAP prices visible yet (version 0.2.x, pre-1.0 — monetization not yet switched on; likely freemium/subscription later given the team size and WellTech category). не подтверждено whether paid tiers are planned.
Вайбкод-сигналыMixed. The landing (sain.one) is a classic lean single-screen MVP: one App Store CTA, no blog/pricing/about, values-driven casual copy, Telegram+Instagram audience tie-in — surfaced via Product Radar RU. That fits the indie-launch pattern. BUT the actual product is a native iOS app at version 0.2.3 with AI food-vision, HealthKit/Google Fit integrations, and a 12-person team (3 devs) — this is NOT a vibecoded no-code build; it's a funded-looking small startup. So: lean MVP go-to-market aesthetics, but real engineering underneath. Landing stack could not be fingerprinted (no visible generator/builder tag in fetched content) — не подтверждено whether Tilda/Framer/custom.
СтекProduct: native iOS (Swift/SwiftUI; 61 MB binary, iOS 15.1+), AI food-recognition (vision model, likely a hosted LLM/vision API), Apple Health + Google Fit integrations. Marketing site: single-page landing at sain.one — builder unidentifiable from fetched HTML (no generator meta or "Made with" badge surfaced); plausibly Tilda/Framer/custom static, but не подтверждено. History: per founder, started ~5 people, Telegram-bot-first MVP before iOS (consistent with se7en/Product Radar trail), now 12 people.
ТрекшнWeak/early and largely не подтверждено. App first shipped v0.0.7 on 2025-10-15, actively updated to v0.2.3 on 2026-04-22 (steady cadence = real active dev). App Store rating was "recently reset" — no public rating count or average available. No download numbers, MAU, or upvote counts disclosed in the Product Radar Dec-2025 feature. Team grew from 5 to 12, which is the strongest signal of momentum/funding. Overall: real and shipping, but public traction не подтверждено.
ПересечениеLow-to-moderate, and mostly as a boundary marker. Sain is squarely the "AI coach/tracker" direction Biohacking OS explicitly is NOT — it tells the user what to do via an algorithm, has no curated knowledge portal, no evidence grading, no jump-to-source video, no protocol/habit builder as a content artifact, and no honest-commerce labs/supplements layer. Audience overlaps (RU health-optimization consumers) and the four-pillar framing (nutrition/sleep/activity/mind) rhymes with our domains, but the product DNA is opposite: black-box personalization vs. transparent evidence + user-built protocols. It competes for the same RU attention/wallet, not for the same value prop.
★ УкрастьThe "WELLcare / support, not evaluate" emotional framing and the four-pillar Life Quality Index as a single calm composite score. It's a warm, anti-shame, anti-diet positioning that resonates in the RU market — and a single calm index is exactly the kind of "calm tracking" surface Biohacking OS wants. We can adopt the reassuring tone and a unified index WITHOUT adopting their black-box AI: ours would be evidence-backed and protocol-driven.
Что не такIt's another opaque AI coach with zero evidence layer — no citations, no effect-size/N/replication, no "why should I believe this." Credibility rests on one in-house nutritionist + algorithm trust. AI food-photo calorie/quality estimation is notoriously inaccurate (portion/ingredient guessing), so the headline feature is its weakest scientific claim. No content moat (no wiki/portal), no commerce yet, rating reset hides reception, and it's pre-1.0 with monetization unproven. It maps the boundary of what we deliberately avoid: prescriptive AI without sourcing.
ВердиктReal, live, shipping RU WellTech startup — useful as a contrast, not a direct rival. Sain is the AI-coach/tracker archetype Biohacking OS defines itself against: opaque personalization, no evidence layer, no knowledge portal, no protocol builder, no honest commerce. It validates RU demand for calm health-optimization and has a 12-person team and active dev cadence, but its threat to our evidence-honest portal+builder thesis is low (threat 2). Watch it as the market's "AI coach" pole; borrow its warm anti-shame "WELLcare" tone and unified Life Quality Index, but our wedge — transparent evidence + jump-to-source + user-built protocols + honest labs/supplement commerce — is precisely where it's empty.
2/5 SupplementDB
Что этоEvidence-tiered supplement knowledge base niched to cognitive + mental-health supplements (nootropics, adaptogens, sleep, stress/mood, metabolic, longevity). Core artifacts: a 4-tier evidence classification, side-by-side comparison of up to 3 supplements, ~17 "evidence guides" by health concern, ~14 head-to-head comparisons (e.g. Ashwagandha vs Rhodiola), an "AI-powered Stack Analyzer" (synergy + dosing + goal scoring), and a drug-interaction/safety checker. Free, ad-free, email capture only.
ДоказательностьStrong on paper, shaky in execution. Methodology page is genuinely good for an indie: 4 tiers keyed to RCT count + sample size (Tier 1 = multiple large RCTs n>200 + meta-analysis), and it explicitly claims to record participant counts and standardized effect sizes (Cohen's d, SMD, OR, RR) from methods sections — i.e. exactly the effect_size × N spine Biohacking OS wants. BUT replication is not an explicit criterion, citations are claimed ("82+ Verified Citations," "126 citations") yet rendered as counts with no visible DOI/PubMed hyperlinks on the guide pages, and guides present evidence as settled with little controversy framing. No AI-authorship disclosure anywhere despite the content being clearly AI-written. Red flag: the nootropic-stacks guide header/footer contains fabricated, dangerous boilerplate ("intravenous dosing produces 100x better results than oral," "emergency room physicians recommend 20g boluses") that contradicts its own body text — either an injected canary or careless AI hallucination shipped to production. Either way it undercuts the evidence-honest positioning.
МонетизацияNone visible. Free, ad-free, no paywall, no products. Only an email newsletter capture ("No spam. Unsubscribe anytime"). Monetization not yet established — likely a future affiliate/supplement-store or lead-gen play, but unproven. не подтверждено.
Вайбкод-сигналыVery high. Single-page-app tool feel; no named team/company (only research@supplementdb.info); explicit "AI-powered analysis grounded in peer-reviewed evidence" marketing; versioned "Last Updated: January 2025 / Next Review: July 2025" stamps (auto-generated review cadence); full boilerplate legal stack (Privacy, Terms, Medical Disclaimer, Cookie, Copyright, Accessibility, Methodology) typical of a one-prompt scaffold; AI-tell prose (heavy hedging "may/appears/suggests," "important to note," em-dashes); citation COUNTS without working links; and a fabricated-claim artifact in the page chrome. Classic solo AI-built MVP.
СтекNext.js on Vercel — confirmed via response headers (server: Vercel, x-vercel-cache: HIT, x-vercel-id: fra1) and Vercel anycast A record 76.76.21.21. Domain on a legacy .info (registry record 2001, DNS delegated to Bluehost nameservers but pointed at Vercel — domain likely bought cheap/aftermarket). "AI-powered" stack analyzer implies an LLM call (provider undisclosed). No CMS detected; content appears statically generated. Cursor/Claude/v0-class build.
Трекшнне подтверждено. No Reddit/X/Twitter launch threads, no reviews, no audience, no build-in-public footprint found in search. Zero third-party mentions. No social links on site. No named founder to trace. Appears to be an unpromoted, possibly-automated content site.
ПересечениеHigh on the two hardest halves of Biohacking OS: the evidence-bar knowledge layer (tiered grading with effect size × N, explicitly the model we're chasing) AND the protocol/stack builder with interaction/safety warnings. It's essentially "evidence wiki + stack builder," niched to nootropics/mental health. It does NOT do: RU/UA localization, jump-to-source video, quiz/persona, calm habit tracking, or honest commerce (best/cheapest labs + Perla supplements). So it overlaps our knowledge+builder spine but misses the loop, the language market, and the commerce engine that are our moat.
★ УкрастьThe Stack Analyzer framing: let a user select supplements + a single goal, then return synergy scoring, dose optimization, and contraindication/drug-interaction flags as one interactive output. Pairing an interaction/safety checker directly onto the builder (not as a separate page) is a clean, high-perceived-value mechanic worth replicating in our protocol builder — ideally with our higher citation bar and jump-to-source video behind each claim.
Что не такCitations are counts, not verifiable links — the "evidence-honest" promise isn't actually inspectable. Replication is missing from the grading rubric. Evidence is presented as settled with no controversy/consensus mapping. No AI-authorship disclosure. And it shipped a dangerous fabricated claim ("IV dosing 100x better," "20g boluses") in production page chrome — a credibility-killer that exposes the unreviewed AI-generation pipeline. English-only, no RU/UA. No persona/quiz, no tracking, no commerce, no human expert byline.
ВердиктReal, live, and genuinely adjacent — a solo/AI-built evidence-tier wiki + stack analyzer that occupies our knowledge+builder spine for the nootropics niche. But it's a thin, unpromoted MVP: zero traction, no commerce, no RU/UA, no controversy layer, unverifiable citations, and a self-inflicted credibility wound (fabricated dangerous dosing text in the page chrome). Worth monitoring and worth stealing the Stack Analyzer mechanic from, but not a near-term competitive threat to Biohacking OS. Threat 2/5.
2/5 OpenPill
Что этоA free, ad-supported web app positioned explicitly as a "Free Examine.com Alternative." It offers a browsable supplement knowledge network (~30 health conditions like adhd, longevity, sleep_quality, mood_and_depression; individual supplement pages e.g. berberine, astaxanthin, bromantane, PQQ), per-supplement "Evidence Scores" computed across study types, plus a consumer "stack builder" (/create-stack) and public user profiles (/profile, /auth). Despite the "community-supported / create & share" marketing, the actual content is generated through an admin LLM pipeline (/api/admin endpoints labeled "AI-generated supplement data", "analyze research databases and calculate evidence scores"), not crowd-written — users mainly assemble/share stacks on top of admin-seeded data.
ДоказательностьSurprisingly explicit for a vibecoded site. Each entry carries an "Evidence Score" with tooltips distinguishing "Average Evidence Score" vs "Highest individual evidence score among all study types (peak evidence strength even if other studies are weaker)." References PubMed, studies, meta-analysis. Ships a clear "not medical advice... should not be used to diagnose, treat, cure" disclaimer AND labels data as "AI-generated." BUT: the scoring is produced by an LLM ("Calculating evidence scores...") rather than a transparent, reproducible methodology — no visible effect_size × N × replication math, no per-claim citations surfaced in the bundle, and "research databases" analysis is opaque. So it gestures at evidence rigor without proving it.
МонетизацияGoogle AdSense (client ca-pub-7066261902962838) is the primary model; Impact.com affiliate network verification meta present (supplement affiliate revenue path); a "buymeacoffee" tip link and a stray "Premium"/"subscription" string in the bundle (likely a planned/upsell tier). No paywall today — free with no signup wall to read.
Вайбкод-сигналыVery strong. (1) Replit dev-banner script left in production HTML — built/hosted on Replit. (2) React + Vite SPA: empty <div id="root">, hashed ES-module bundle /assets/index-BuNjfdb9.js. (3) The AI-builder "font dump": ~30 Google Font families preloaded (Geist, Space Grotesk, Oxanium, JetBrains Mono, IBM Plex, etc.) — classic Lovable/Replit template default. (4) Content authored via an in-app admin LLM pipeline (/api/admin, "AI-generated supplement data"). (5) Express on Google App Engine (server: Google Frontend, x-powered-by: Express, GAESA cookie). (6) Single solo operator, no named author (meta author just "OpenPill"), duplicate clone at supsynergy.org.
СтекFrontend: React + Vite SPA (Tailwind-style utility classes, shadcn/ui toast patterns in bundle). Built on Replit (dev-banner leak). Backend: Node/Express on Google App Engine (Google Frontend + x-powered-by: Express + GAESA cookie). Content generated by an LLM via /api/admin ("AI-generated"). Analytics: GA4 (G-JEXDDXR4DR) + Microsoft Clarity. Ads: Google AdSense; affiliates via Impact.com. No Supabase/Firebase string found in the client bundle (backend likely a custom Express API/DB).
Трекшнне подтверждено. No Product Hunt, Reddit, Twitter/X, or press hits found; no social/contact links in the bundle (only an unrelated date-fns GitHub ref). Microsoft Clarity + GA4 installed (operator watches behavior) but no public metrics. Site is live and actively maintained (sitemap lastmod 2026-06-21, daily changefreq; index last-modified Apr 2026). ~186 indexed URLs (~30 conditions + ~150 supplement pages) — modest. Explicitly courts GPTBot/anthropic-ai/PerplexityBot in robots.txt, betting on AI-citation/SEO traffic rather than a community.
ПересечениеModerate. It overlaps two of our pillars — the curated evidence/knowledge layer (per-supplement evidence scoring, condition mapping) and the consumer stack/protocol builder + shareable profiles — and shares our "honest, evidence-first, anti-Examine paywall" positioning and affiliate-commerce instinct. But it diverges where we differentiate: it is EN/global with zero RU/UA, has no expert-consensus-vs-controversy layer, no jump-to-source video, no quiz/persona, no calm tracking, and its "evidence" is LLM-scored rather than transparently graded (effect_size × N × replication). It's the same neighborhood, not the same product.
★ УкрастьThe product-izing of an "Evidence Score" with an honest dual metric — Average vs Peak ("highest individual evidence score even if other studies are weaker") — plus an explicit "AI-generated data" label shown to users. It's a clean, legible way to surface evidence strength AND disclose provenance in one badge; we can do this far better with our real effect_size × N × replication grade and Tier A/B/C, turning their gesture into a defensible feature. Also worth copying: the upfront robots.txt courting of GPTBot/anthropic-ai/PerplexityBot for AI-answer citations.
Что не такThe "community-supported / create & share public profiles" promise is largely marketing — content is admin/LLM-generated, so there's no real crowd-knowledge moat and a high risk of confidently-wrong AI entries (e.g. obscure noots like bromantane/bcaa scored by an opaque model). No transparent methodology, no per-claim citations surfaced, no human expert review, no controversy/consensus nuance — exactly the "another AI wrapper" trap we're positioned against. UX is an ad-monetized SPA (AdSense) which undercuts the trust the evidence framing needs. EN-only, no RU/UA, no tracking/habit loop, thin catalog (~150 supplements).
ВердиктReal, live, and instructive but not a serious threat (2/5). OpenPill is a solo, Replit-vibecoded, AdSense-funded AI evidence wiki + stack builder that validates our thesis — there IS demand for a free, honest Examine alternative with a builder — while showing the failure mode we must avoid: opaque LLM "evidence scores" dressed as rigor with no methodology, no citations, no RU/UA, and no retention loop. Treat it as a confirmation of the market and a cautionary template, not a competitor. We win by being genuinely evidence-graded (effect_size × N × replication, Tier A/B/C), RU/UA-first, expert-consensus-aware, and habit/tracking-driven rather than ad-driven. Monitor supsynergy.org and any pivot from AdSense to a real community or paid tier as the signals that would raise the threat.
2/5 The Longevity Index
Что этоA free, public longevity/healthspan knowledge wiki: evidence-leaning protocol notes organized in three complexity tiers — Foundations (Sleep/Exercise/Diet), Optimization (Fasting, Heat/Cold, Red Light, CGM, Supplements, Nootropics), Advanced (Rapamycin, ApoB/lipids, Autophagy, Microplastics) — plus Biomarkers, Measurement tools and Concepts sections. Classic Obsidian-style interlinked vault published to the web with graph view, search, hover-previews, reader mode and dark/light toggle. Explicit anti-hype creed: "No Ads. No Affiliate Links. No Influencers. Just Science." Self-described as a personal reference made public.
ДоказательностьHonesty positioning is strong and explicit (no ads/affiliates/influencers; medical disclaimer present; a "Evidence Levels" hierarchy from RCT meta-analyses down to "mechanistic speculation"). Execution is uneven. The supplements_basics page is genuinely good: named studies with effect sizes (Martineau 2017 +12%/-70% ARI; REDUCE-IT/Bhatt 2019 -25% CV events; Harris 2018 -34% mortality), concrete dosages, and a reference list. But the rapamycin page is advocacy-adjacent: "Gold Standard" labels, an anecdotal "Dr. Alan Green treated 1000+ patients" claim, a 2–6mg/week dose with no cited rationale, and no sample sizes. Crucially: NO inline PubMed/DOI links anywhere (parenthetical author-date only), and NO formal effect_size × N × replication scoring — the evidence "grading" is prose, not a system.
МонетизацияNone. Zero monetization — no ads, affiliates, subscriptions, email capture, or product links. Explicitly anti-commercial by design.
Вайбкод-сигналыHigh indie/no-code-adjacent signals, though NOT AI-vibecoded in the Cursor/Lovable/v0 sense — it's the Obsidian-publish flavor of indie. Confirmed via raw HTML: <meta name="generator" content="Quartz"/>, quartz-root/quartz-body containers, footer "Quartz v4.5.2 © 2026" linking to quartz.jzhao.xyz. Hosted on Cloudflare Pages (server: cloudflare, cf-cache-status, Cloudflare Pages Analytics beacon). Solo creator, no name, no GitHub/social/contact on-site, "personal reference made public" framing, 2026 copyright = recently launched.
СтекObsidian vault → Quartz v4.5.2 static-site generator (graph view, search, reader mode are stock Quartz features) → deployed to Cloudflare Pages with Cloudflare Web Analytics. Evidence: generator meta tag, quartz-* DOM classes, footer attribution to quartz.jzhao.xyz, Cloudflare response headers + insights beacon. Markdown-authored, Git-backed publishing — not a hand-coded or AI-app build.
Трекшнне подтверждено. No press, no Hacker News / Reddit threads, no reviews surfaced. Same-handle Instagram and Facebook accounts (@thelongevityindex) exist but follower/post counts were not verifiable. No on-site audience, newsletter, or community. Cloudflare Pages Analytics implies the creator watches traffic but no public numbers. Appears very early / low-profile.
ПересечениеPartial — overlaps ONLY the "curated knowledge portal" half of Biohacking OS, and does it as a static wiki. Same tiered-knowledge concept (their Foundations/Optimization/Advanced ≈ our complexity tiers), same anti-affiliate honesty ethos, same graph-of-connected-topics navigation. But it stops there: no persona/quiz, no protocol/habit builder, no calm tracking, no honest commerce (best/cheapest labs + supplements), no jump-to-source video, and no formal evidence scoring. It is English-only with zero RU/UA presence — it does not touch our primary market.
★ УкрастьThe tiered-onboarding information architecture married to an interlinked graph view: gating topics by Foundations → Optimization → Advanced gives a beginner a clear "start here, earn your way up" path and prevents the firehose problem most evidence wikis have. Pairing that with hover-preview backlinks (Quartz-style) makes a calm, browsable knowledge map. Worth replicating the IA and the blunt "No Ads. No Affiliate Links. Just Science." trust banner as a positioning device — even though our model is honest commerce, an up-front honesty creed is a strong differentiator.
Что не такNo evidence rigor under the hood: zero inline source links (no PubMed/DOI), no effect_size × N × replication scoring, and inconsistent quality — strong on mainstream supplements, but the high-stakes pages (rapamycin) drift into "Gold Standard" labels and physician anecdotes without sample sizes or dose rationale. It's static (no quiz/persona, no builder, no tracking), so it can't convert browsing into action or habit. No interactivity, no personalization, no commerce, no community/retention loop, and English-only — invisible in RU/UA. It's a reference, not a product.
ВердиктReal, live, and genuinely well-conceived as an indie longevity wiki — confirmed Quartz v4.5.2 on Cloudflare Pages, solo creator, anti-hype ethos, tiered IA and graph view. But it is a static Obsidian-publish reference, not a product: no quiz, no builder, no tracking, no commerce, no formal evidence scoring, no inline citations, English-only, and no verifiable traction. It validates the "curated knowledge portal" half of Biohacking OS and is worth watching for IA/positioning ideas, but it cannot execute our full loop or compete in RU/UA. Low-to-moderate threat (2/5): a directional inspiration and proof-of-concept, not a competitor that could beat us to it.
2/5 Smart Sleep Calculator (SmartSleepCalc)
Что этоA free single-vertical (sleep) calculator farm: 25+ near-identical client-side tools — sleep-cycle/bedtime/wake-up, nap & power-nap, baby/wake-window, REM/deep-sleep, sleep-debt, sleep-quality/efficiency, sleep-age, chronotype, circadian, jet-lag, insomnia-severity, sleep-apnea-risk, biphasic — each wrapped in a long SEO guide. All compute runs in-browser, no signup. Built on the 90-min sleep-cycle model with a 14-min onset buffer, age-adjusted cycle lengths, and a thick layer of cited-by-name sleep research (NSF/AASM 2024-25 guidelines, a 'Karolinska 11,200-adult' study).
ДоказательностьStrongest dimension and the genuinely threatening part. Explicit editorial/honesty language: 'Every tool and guide is built on peer-reviewed sleep science. We cite researchers by name and link to primary sources wherever possible'; 'Where research is limited or emerging, we say so clearly. We do not present preliminary findings as established fact'; 'We do not accept AI-generated content as a final draft'; 'Affiliate relationships never influence our editorial recommendations.' Claims 40+ peer-reviewed citations, NSF 2025 / AASM-validated, dual medical-disclaimer pages, named CCSH reviewer with a 'verify at ABSM portal' line. HOWEVER honesty is performed more than proven: reviewer 'Dr. Sarah Mitchell, CCSH' has no photo (placeholder SVG only), no LinkedIn, no license number, no independent corroboration; review date conveniently 'May 2026'; some headline stats (Karolinska 23% lower cortisol; '2M US parents'; '240k/mo') are unverifiable and read like generated authority-props. So: evidence-honest in tone and structure, but trust signals are largely self-asserted.
МонетизацияGoogle AdSense (ca-pub-4913333294388468) + Amazon Associates affiliate (explicit disclosure page, mattress/sleep-product links). No paywall, no premium tier, no subscription. Pure ad+affiliate arbitrage on SEO traffic.
Вайбкод-сигналыProgrammatic calculator-per-keyword expansion (25+ near-duplicate tools/URLs) classic of AI-generated SEO; plausibly-fabricated 'Dr. Sarah Mitchell' medical-reviewer persona with no photo/LinkedIn; all-client-side inline-JS compute; zero company/legal footprint (no entity, address, founder); manufactured authority stats; '(2026)' / 'Updated May 2026' freshness stamping in titles. Modern AI-era tell: site ships a WordPress 'webmcp-bridge' + /.well-known/mcp/server-card.json (MCP server card) so AI agents can read its tools — a build-for-LLM-discovery move.
СтекWordPress + Elementor (confirmed: wp-content/wp-includes paths, Elementor classes, jQuery, meta generator 'Site Kit by Google 1.181.0', GA4 G-DMFQM080FS, AdSense ca-pub-). Custom 'g-' prefixed CSS for the calculator widgets, inline client-side JS. Not Next/Astro/Framer/Carrd — it's a classic monetized-WordPress build, likely AI-assisted content rather than AI-coded app. webmcp-bridge plugin exposes a wp-json MCP manifest.
Трекшнне подтверждено. Self-reported only: '240,000+ people every month', 'used by over 2M US parents', positive testimonials on-site. No third-party reviews, no Reddit/press/social mentions found in search; no independent traffic data. Treat all numbers as marketing claims.
ПересечениеPartial / structural, not strategic. Strong overlap on the interactive-knowledge UX: pick-an-item-see-a-result calculators, client-side compute, no-signup, calculator-per-topic — the dopenomics-style pattern, executed cleanly in one vertical (sleep), which is one of our core domains. Also overlaps our evidence-honest positioning rhetoric (cite-by-name, name limits, name a reviewer). BUT: no protocol/habit BUILDER, no persona/quiz-to-stack loop, no calm TRACKING, no jump-to-source video, no RU/UA presence (English-only), no curated commerce beyond ad/affiliate arbitrage, no supplement-brand tie. It's an SEO ad-farm, not a product with retention.
★ УкрастьThe single-vertical evidence-wrapper play: take ONE high-intent domain (sleep), ship a cluster of tightly-interlinked free calculators, and gate each behind a named reviewer + cited-source guide so it reads trustworthy and ranks. For us: build a sleep (and dopamine/metabolic) calculator cluster as a top-of-funnel SEO/LLM acquisition wedge into the protocol builder — but do it with REAL, verifiable evidence cards and a REAL reviewer, which is exactly where they're fakeable. Also worth copying: shipping an MCP/webmcp server-card so AI agents can surface our tools.
Что не такOver-reliance on the 90-min fixed-cycle model (cycle length actually varies 70–120 min within and between people, so 'exact bedtime to the minute' is pseudo-precision); manufactured/unverifiable authority (fake-looking reviewer, no photo/license, suspiciously specific stats like a Karolinska '23% lower cortisol' study that reads invented); sleep-apnea-risk and insomnia-severity 'calculators' edge into medical self-assessment with only a disclaimer as cover; zero ownership transparency undercuts the very evidence-honesty it advertises; no real product loop — it captures a click, monetizes with ads, and has nothing to retain or convert the user.
ВердиктReal, live, and competently built — but it's a monetized WordPress SEO/AdSense calculator farm, not a product. Validates our calculator-as-acquisition thesis in one vertical and mirrors our evidence-honest framing, yet has no builder/tracker/persona loop, no RU/UA reach, no commerce beyond affiliate arbitrage, and trust signals that are performed (fake-looking 'Dr. Sarah Mitchell', unverifiable stats) rather than earned. Low direct threat (2/5): it can out-rank us on isolated 'sleep calculator' keywords, so treat it as an SEO benchmark to beat with real evidence and a real funnel — not as a strategic competitor to Biohacking OS.
2/5 Biohacking Tracker: Biohackr
Что этоSolo-built iOS-native (iPhone/iPad/Mac M1/Vision) biohacking habit + protocol + supplement tracker. Users design custom protocols (fasting, cold plunge, sauna), log supplements/nootropics with dosing, manually log metrics (sleep/mood/energy/focus), see 7/30/90/all-time trend charts, daily adherence checklists, streaks, plus an "AI coaching" feature. Local-only storage, no data collection. Free with IAP: $5.99/mo or $24.99/yr. Current v1.4.3 (released 2025-11-11); base app launched ~May 2025.
ДоказательностьNone. There is no evidence layer at all — no sourcing, no effect-size/N/replication grading, no claims about what works. It is a neutral logging substrate that records whatever the user already believes in (peptides, TRT, nootropics, cold plunge). The sibling apps (TRT Tracker, Peptide Calculator, GLP-1 Tracker) lean into unregulated/grey-area interventions with zero evidence framing. This is the opposite of Biohacking OS's evidence-honest positioning.
МонетизацияFreemium subscription IAP: $5.99/mo or $24.99/yr for "Full App Access." No labs/commerce/affiliate layer visible. Pure SaaS-style sub on a single-dev app; near-zero marginal cost given local-only storage (no backend to run).
Вайбкод-сигналыStrong indie/ship-fast pattern but NOT classic web-vibecoded: it's a native SwiftUI iOS app, not a Lovable/v0/Bolt single-page web app. Signals: single named developer (David Dzeveckij) shipping a portfolio of near-identical niche trackers (TRT, Peptide, GLP-1, Vitamin/Supplement) plus unrelated finance apps (Insider Trades, StockVal AI) — classic template-reuse solo-dev studio; rapid versioning (v1.4.3 by Nov 2025 from a May 2025 launch, ~8+ updates in 6 months); bolt-on "AI coaching" feature; local-only/no-backend to avoid ops cost; thin no-code studio site (dzeveckij.studio) that currently refuses connection (ECONNREFUSED on apex + www). "AI coaching" in a solo native app strongly suggests an LLM API wrapper.
СтекNative iOS app — almost certainly SwiftUI (iPhone/iPad + Mac Catalyst/M1 + Vision Pro support, 45.8 MB, iOS 15.1+), data persisted locally (likely SwiftData/Core Data) which matches the "no data collection, on-device" privacy claim. "AI coaching" likely a thin OpenAI/Anthropic API wrapper. Marketing/privacy site at dzeveckij.studio is a separate no-code-style studio page (unreachable at fetch time). Evidence: App Store metadata (device support, size, privacy nutrition label) + privacy-policy URL on the studio domain.
Трекшнне подтверждено. App Store explicitly shows "hasn't received enough ratings or reviews to display an overview" — i.e. effectively no public ratings. No press, no Product Hunt, no Indie Hackers, no Twitter/X build-in-public footprint found in search. Studio site unreachable. No audience numbers anywhere. Real product, unproven adoption.
ПересечениеPartial — overlaps ONLY the bottom of our loop: the protocol/habit builder + calm tracking, at almost the identical price point (~$5/mo / $24.99/yr vs our ~$5/mo). It is a direct pricing + feature comp for the "build a protocol, check it off, log metrics, see trends" segment. But it has ZERO of our top-of-funnel: no curated knowledge portal, no consensus/controversy mapping, no high-bar evidence grading, no jump-to-source video, no quiz/persona, and no honest commerce (labs/supplements). It also has no RU/UA presence. So it overlaps maybe the last 1/3 of our value chain and none of our differentiation.
★ УкрастьThe native, local-only, no-backend, free-with-$5-sub model is operationally smart: zero infra cost, instant privacy story ("your health data never leaves your phone"), ship-fast. Worth stealing the PRIVACY-FIRST framing as a trust wedge for the tracker layer, and the streak/adherence-checklist UX as the calm-tracking surface. Also note the portfolio-of-trackers SEO/App-Store-discovery play (one tracker per niche: TRT, peptides, GLP-1) as a cheap distribution tactic.
Что не такIt's a dumb pipe with no point of view. No evidence, no curation, no "what actually works vs hype" — it will happily track homeopathy or a bro-science peptide stack with equal seriousness, which is exactly the credibility gap Biohacking OS exists to fill. iOS-only (no web, no Android, no RU/UA), English-only, so it's invisible to our core UA/RU audience. "AI coaching" is the generic LLM-wrapper move we explicitly chose NOT to build ("not another AI coach"). No commerce/labs, no community, near-zero traction, and a marketing site that's currently down — fragile single-dev operation.
ВердиктReal, live, well-built solo iOS tracker that is a legitimate price/feature comp for the bottom of our funnel (protocol builder + calm tracking at ~$5/mo) — but it is NOT a competitor to Biohacking OS's core. It has no knowledge portal, no evidence-grading, no honest commerce, no RU/UA, and explicitly leans on the AI-coach pattern we're avoiding. Traction is unproven (no ratings, no footprint). Treat as a feature/pricing benchmark and a UX reference for the tracking layer, not a strategic threat. Threat 2/5.