Auditor Core
CLI security auditing engine with mathematical SPI scoring
Every scanner I tested returned thousands of findings, mostly noise. One real codebase: 7,600 raw findings, 1 actionable. Count is not posture. Auditor Core exists to produce a mathematically reproducible risk score t
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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