@Leke Alomaja

Chief Strategy Officer

Hey @Leke,

ORIGIN alpha is live and ready for testing. We've moved from concept to functional build. The system is tracking coherence turbulence in real-time, drift detection is active, and the Mercury settlement pipeline is wired for paid unlocks.

📊 Executive Summary

ORIGIN is a local-sovereign pulse tracking system with asymmetric economics: minimal cloud spend ($0.47/user/year), premium monetization on sovereignty unlocks ($1.00/crisis intervention), and retention driven by honesty, not addiction.

🎯 What ORIGIN Does

  • Pulse Logging: Users record internal state (energy, stability, coherence) in <2 min
  • Drift Detection: Adaptive baseline algorithm identifies turbulence—not deviation from "healthy," but deviation from *your recent pattern*
  • Decision Tree Navigation: Contextual overlays guide users through onboarding → daily engagement → crisis interventions
  • Monetization Injection: When user hits 3+ drift events, we offer $1.00 breathing protocol—point-of-need intervention, not subscription fatigue

đź’° Economics at Scale (Year 2, 100K MAU)

$1.2M ARR
$471K Cloud Cost
61% Gross Margin
60 days Payback
$1,000+ LTV

Why this model works:

🏗️ Design Philosophy (The Moat)

Three deliberate choices that competitors can't easily copy:

  • Phone-Bound Auth: No central identity database. Device ownership = data ownership. Zero auth spend.
  • Transparent API: GCP key embedded (by design). Ledger is auditable. Users trust ORIGIN because it refuses to *claim* to be protecting them.
  • Moral Neutrality: Drift algorithm doesn't judge "good" vs "bad" states. ORIGIN shows you're changing, not whether that's correct. This is a cultural moat.

🚀 3-Year Projection

Year MAU ARR OpEx Margin
Y1 10K $120K $200K 76%
Y2 100K $1.2M $1.066M 61%
Y3 500K $6M $4.2M 62%

Next steps:

Documentation & Alpha Link:

https://app.origin.roxy.systems

Full technical analysis attached. Focus on the "Strategic Questions Answered" section—it encodes the business model into the feature set.

Let me know what you find. Especially interested in your thoughts on the drift algorithm sensitivity and whether the $1.00 friction point feels right for the target cohort.

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