ReconShield — Completeness and atomicity guard for multi-sink updates

Integration & Automation
🔥
10/10
Demand Score
Partial writes create silent revenue leakage and compliance exposure; teams spend nights backfilling and apologizing to customers.
🌊
9/10
Blue Ocean
Competition Level
💰
$1k-7k
Price/Month
Predicted customer spend
⏱️
12 days
Time to MVP
Difficulty: Hard

The Problem

A reliability layer that prevents and repairs missing/partial updates across destinations using an outbox SDK, saga-style coordinator, per-record completeness scoring, end-to-end checksums, and auto-r

Competitor Landscape

  • Datafold (diff/recon)
  • Monte Carlo Data
  • Bigeye
  • Debezium Outbox (pattern)
  • Custom replay scripts

Must-Have Features for MVP

Outbox SDKs (.NET/Java/Node/Python) with guaranteed emission
Saga coordinator with compensating actions
Per-record completeness score and SLAs
Row/field checksums and drift detection
Auto-replay with exponential backoff and ordering guarantees
Quarantine queues with safe retry playbooks
Auditable trails and exportable evidence for compliance

⚠️ Potential Challenges

  • Coordinating exactly-once semantics over flaky APIs
  • Idempotency key design per destination
  • Access to authoritative sources for verification
  • High-volume replay without reordering side effects

Risk Level: High

🎯 Keys to Success

  • >95% reduction in partial-update incidents
  • MTTD under 60 seconds via completeness monitors
  • MTTR for missing records under 15 minutes
  • Auditor-approved completeness reports
  • Zero duplicate side effects during replays

Ready to Build This?

This hard-difficulty project could be your next micro-SaaS success.