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Core – Constitutional governance runtime for AI coding agents

Hacker News

Core – Constitutional governance runtime for AI coding agents

AI agents that can write code are useful. AI agents that can't violate your architecture are useful in production. CORE enforces constitutional law at runtime — 92 rules across 7 deterministic engines. If a blocking rule fails, execution halts. No partial states, no silent violations. Today it blocked its own self-healing workflow because two governance components drifted out of sync. No human caught it. The constitution did. Demo (asciinema): https://asciinema.org/a/BuS0WuKyRxQwYDHD Docs: https://dariusznewecki.github.io/CORE/

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, new · Missing: mac, macos, cursor
77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.

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