#009
October 31, 2025:- Referral Attribution Beta, Resilient Match Recovery, and Signature Optimization
Purpose
To operationalize backend referral tracking for early community growth efforts while strengthening mid-game resilience through Tapzi’s custom-built session recovery architecture and optimizing signature logic for reduced compute and gas.
Key Highlights
👥 Referral Attribution Engine (Phase 1, Beta-Only)
Core backend logic activated: unique referral codes now attach to player records via URL campaign parameters.
Logged metadata includes: referral code, source handle, registration time, and timestamp of first match entry.
Attribution layer fully in-house—supports future expansion into milestone-based incentives and fraud prevention.
Referrer–referee links are immutable at registration and stored with session-hardened hashes for auditability.
🧩 Frontend Referral Preview (Not Public Yet)
Onboarding screen stub includes referral banner and passive code detection from deep links.
UI copy and flow undergoing internal QA; full launch deferred to post-metrics tuning in Q4.
Ref confirmation and invite tracking pages drafted but gated pending stability validation.
📡 Mid-Match Recovery Logic Upgrade
Game engine now maintains persistent Session UUID tied to match ID and device signature.
Upon reconnect (e.g., WiFi drop, app reload), game state is restored from last validated move, with no user action needed.
45-second timeout buffer enforces fairness while improving reliability across mobile networks.
🔐 Signature Optimization Pass
Redundant game state hashes and repeated signature submissions compressed at both frontend and backend.
Reduces transaction payload size and speeds validation without weakening result integrity.
Concurrent replay hash mismatches are now gracefully rejected with rollback-safe logic.
📊 Session Stability Telemetry Activated
Match lifecycle now includes connection state logging (session start, ping failures, reconnect attempts).
Device/browser hashes used to correlate errors—anonymized and privacy-compliant.
Logs streamed into ELK/Grafana stack for disconnect trend visualization and QA benchmarking.
Why It Matters
Referral infrastructure is a strategic growth engine—tracking now live to validate virality and community incentives.
Mid-game recovery strengthens Tapzi’s reliability narrative, particularly in competitive or staked scenarios.
Optimized signature handling reduces validation cost and server load, scaling us closer to public beta performance targets.
Real-world telemetry feeds technical and product teams for clearer prioritization and better tuning over time.
Open Issues
Referral logic still vulnerable to multi-account edge cases; anti-abuse logic not yet enforced.
Simultaneous reconnects from multiple devices may create forked match state (under test).
Replay viewer doesn't annotate reconnect/resume events yet—limits post-match transparency.
Signature pipeline not yet validated at high latency or degraded mobile network conditions.
Fixed
Match abandon no longer triggered by mobile network switching (e.g., WiFi ↔ 5G).
Backend settlement now handles missing one-sided submissions more gracefully, using recovery timeout logic.
Referral attribution bug fixed: session-local data no longer overwrites correct referral from URL tracking.
Next Steps
Launch referral attribution dashboard with cohort analytics, match conversion tracking, and retention curves.
Integrate session telemetry into Grafana dashboards for live monitoring of stability and recovery trends.
Annotate disconnect/reconnect events in replay logs for audit/debug purposes.
Start closed referral campaign with handpicked Discord testers for early performance signal.
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