OWASP Scanner for Vibe Coded Apps

Hacker News

Hey HN, We just launched an early version of Circuit — a lightweight tool that helps vibe coders, citizen developers, and indie hackers run fast security scans focused on the OWASP Top 10 vulnerabilities and get practical fixes. The problem we noticed: A lot of projects being built in no-code/low-code environments (Replit, Lovable, V0, Bubble, etc.) ship quickly but rarely get security reviewed. Even small apps often expose APIs, misconfigure auth, or leak secrets without realizing it. With Circuit, you can: • Submit your app URL • Get a security report checking OWASP Top 10 vulnerabilities • Get suggested fixes for the issues found (not just a scary list) We’re aiming to make security reviews fast and accessible for solo developers and small teams — without needing to be a security expert. Right now: • It’s free while we’re in early stages • Feedback reports are emailed manually after scanning • You can see a sample report to know what to expect Try it here: https://circuit.sh/

Visit product View on Hacker NewsApr 25, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, lovable, email · Missing: mac, agents, macos

76%76% 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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, scanner · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, 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

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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