stemedb/applications/findmyhealth/vision.md
jordan 58594bc7b9 feat: add feed endpoint, dashboard feed panel, and FindMyHealth app
- Add /v1/feed API endpoint with handler and tests
- Remove health endpoint rate limiting (behind firewall, caused spurious 429s)
- Add dashboard feed panel with list, row, empty state, and loading skeleton
- Update home page to show feed instead of redirecting to skeptic
- Improve API key auth middleware and DTO create/query params
- Add OpenAPI conceptual guide (api-intro.md) with semaglutide examples
- Add FindMyHealth application scaffolding (vision, architecture, prototypes)
- Add FindMyHealth designer/writer and Aphoria founder-CEO agents
- Update roadmap with current progress

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 17:16:17 -07:00

3.7 KiB

FindMyHealth

The Evidence Layer for the Healthcare Revolution

FindMyHealth is a real-time intelligence platform and newsletter that uses automated ingestion to resolve the "Tower of Babel" problem in healthcare. We don't just aggregate news; we stratify evidence into a weighted hierarchy, surfacing emerging safety signals and clinical breakthroughs weeks before they hit the mainstream.


1. The Core Problem: The Healthcare Signal Gap

The modern patient and practitioner are drowning in a sea of conflicting data:

  • The Regulatory Lag: The FDA takes months or years to update labels (e.g., the Semaglutide/gastroparesis delay).
  • The Anecdote Avalanche: Reddit and TikTok surface real signals (Tier 5), but they are buried in noise and misinformation.
  • The Paywall Barrier: High-quality clinical trials (Tier 1) are locked away or written in dense jargon.

The Result: People make life-altering health decisions based on the loudest voice, not the most authoritative evidence.


2. The Solution: Automated Evidence Stratification

Using the StemeDB backbone, FindMyHealth automates the research process that would take a human analyst 40+ hours.

The Three Pillars

Pillar Function User Value
Automated Ingestion Scans 500+ sources (PubMed, FDA, Reddit, X) per topic. Coverage that no human-led newsletter can match.
Source Hierarchy Weights claims from Tier 0 (Regulatory) to Tier 5 (Anecdotal). Instant clarity on who is saying what.
Conflict Detection Highlights where Tier 5 (social) contradicts Tier 0 (official). Early warning system for side effects or efficacy.

3. Product Experience: The Newsletter-First Flywheel

Distribution is the product. We lead with a high-signal newsletter to build the audience, then upsell to the intelligence platform.

The Weekly "Pulse" Newsletter

  • Trending Evidence: 3-5 trending health topics (e.g., "Seed Oils," "Berberine," "New COVID Strains").
  • The Stratified View: A visual breakdown of what the different tiers say.
  • Conflict Alert: "Tier 5 reports 400% increase in [Symptom], Tier 0 remains silent."
  • The Time-Travel Link: "See how the consensus on this drug has shifted since 2022."

The Intelligence App (Premium)

  • On-Demand Search: Search any supplement or drug and get an instant evidence report.
  • Real-time Alerts: Follow "Semaglutide" and get a notification the second a new clinical trial or significant Reddit cluster appears.

4. Monetization Strategy (Tiered)

High-margin recurring revenue with clear value escalation.

  1. Free (The Hook): Weekly newsletter + limited web searches. Revenue via high-end sponsors (clean-label supplements, lab testing).
  2. Premium ($20/mo): Unlimited searches, real-time alerts, and deep-dive PDF reports. Targeting biohackers, PhD researchers, and proactive patients.
  3. B2B / API ($499+/mo): Access to the FindMyHealth API for clinics and supplement brands who want to monitor their own product safety/efficacy signals.

5. The Competitive Moat

While others are "AI wrappers," FindMyHealth has three layers of defensibility:

  1. The Infrastructure: StemeDB is a custom-built probabilistic database. It's not just a GPT prompt; it's a new way of storing truth.
  2. The Historical Data: Every week we ingest trending topics, we build a "Time-Travel" archive that competitors can never back-fill.
  3. The Domain Complexity: Healthcare regulation acts as a natural moat. The stakes are too high and the data is too messy for shallow competitors.

6. The North Star

We aren't building a blog. We are building the Bloomberg Terminal for Health Evidence.