VScanX
Open-source, offline-first Python vulnerability fuzzer
To stop alert fatigue. I built VScanX to be a fast, completely offline Python scanner that verifies vulnerabilities with safe, local exploits instead of relying on noisy false positives.
Visit productView on Indie HackersNov 1, 2025commitment-side-projectemployees-under-10founders-code-yes
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Launch Intel predictions
Analyze your own launch →58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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