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I Made a Tool to Detect Leaked API Keys on GitHub in Real Time
Hacker NewsI Made a Tool to Detect Leaked API Keys on GitHub in Real Time
I built API Radar, a tool that scans public GitHub commits in real time to detect exposed API keys (OpenAI, Google, Claude, etc). It’s fast, scalable, and tracks real leaks with contextual metadata and filtering. So far: 9,600+ repos scanned, 280+ leaks detected, all ethically surfaced from public code.
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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, google, context · Missing: mac, agents, macos80%80% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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