saascode
mental health & wellbeing·run 18 · Apr 2026

Biofeed

An on-device wellness companion for voluntary adult cohorts that keeps raw wearable data local, lets each member review personal trends, and releases only thresholded, privacy-protected cohort aggregates with revocable consent.

Genesis score5.75/10
Make Biofeed real.0/500
500 more votes and Biofeed is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
4+Confirmed wearable ecosystems in the source record
0Reviewed creator cohort-biometric products found
0Named member deviation flags in initial scope
The case

Voluntary wellbeing cohorts may want to see whether shared sleep, activity or self-reported routine patterns are changing. The research confirms an active open wearable-data project and a commercial aggregation alternative, but no reviewed creator-focused cohort-biometric product. The original proposal's named per-member deviation flags remain sensitive and potentially coercive even without raw measurements, so they are excluded from the initial product.

Biofeed should separate adult member identity and eligibility, granular consent and expiry, device and source permission, raw local measurement, on-device personal baseline and trend, member-visible uncertainty, optional member-authored check-in request, aggregate contribution choice, cohort and minimum threshold, privacy transformation and parameters, aggregate release, creator view, correction, withdrawal, deletion and outcome. A deviation is not diagnosis, risk, crisis, truth or permission to contact a member.

The product must not expose named or re-identifiable health signals to creators, employers, insurers or schools; infer mental state, diagnosis, medication, disability, pregnancy or substance use; rank participation or progress; impose incentives or penalties; claim anonymity from a technique alone; or present itself as treatment, monitoring or crisis response.

Who pays — and why

Operators of voluntary adult educational or peer-support wellbeing cohorts that accept aggregate-only insight and no individual surveillance.

What it unlocks
A member consent record with cohort, adult eligibility, purpose, metric classes, local processing, optional aggregate contribution, visibility, retention, expiry, withdrawal, deletion and accessible alternative
An on-device record separating wearable source, permission, raw observation, quality, personal baseline, trend candidate, uncertainty, member interpretation and optional member-authored check-in request
A cohort aggregation contract with metric definition, period, minimum cohort threshold, contribution limits, privacy method and parameters, missingness, bias limits, release owner, expiry and suppression
A governance chain separating aggregate candidate, privacy review, creator publication, member visibility, correction, withdrawal effects, incident, support handoff and outcome
How Genesis scored it
5.75across seven criteria
tension 6temporal 5blindspot 5buyer 6leverage 8convergence 5why-not 5
8
Asymmetric leverage

On-device processing and reusable aggregation controls can scale across voluntary cohorts.

6
Productive tension

Cohort accountability must coexist with member autonomy, sensitive biometrics, re-identification risk and non-clinical boundaries.

5
Why nobody did it

The record does not prove which privacy or device barrier recently changed.

Why it scored well

Confirmed wearable-data components and an aggregate-only voluntary cohort wedge make a constrained privacy-first pilot technically testable.

What's holding it back

Buyer demand, consent quality, re-identification risk, metric validity, device bias, cohort retention, health regulation and sustainable support need validation.

Signals detected3 sources crossed
SignalGenesis research

SignalGenesis research

SignalGenesis research

Direction briefbiofeed.md
biofeed.md
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