Repository Trust Score and Provenance Verification

C7/10May 6, 2026

WhatA service that scores open-source repositories on real-world production usage, contributor authenticity, and code provenance — distinguishing battle-tested projects from AI-generated slop.

SignalDevelopers are expressing that traditional signals of code quality — stars, commits, test suites, polished READMEs — are now trivially fakeable with AI, and there's no way to tell if a repo has ever been used in production or is just AI-generated packaging around untested code.

Why NowThe flood of AI-generated repositories and drive-by AI PRs has broken the trust signals that the open-source ecosystem relied on for decades, and no tooling exists to replace them.

MarketEngineering teams evaluating dependencies, open-source maintainers filtering PRs, enterprise security teams vetting supply chain; ~30M developers globally; no direct competitor addresses this specific trust gap.

MoatNetwork effects from tracking real deployment telemetry and contributor reputation across projects create a compounding data moat that's hard to replicate.

Vibe coding and agentic engineering are getting closer than I'd like View discussion ↗ · Article ↗ · 663 pts · May 6, 2026

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