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Automatically Detect Security Bugs in Your App/API

Hacker News

Automatically Detect Security Bugs in Your App/API

There are no good options for security testing applications/APIs. Most options are commercial and require complex setup and configurations. We decided to build a free and open tool for instant App/API security testing. No sign-up is required. No complicated setup is needed either. Point towards your API and get an instant report. The report helps your detect and fix security vulnerabilities in your APIs. These vulnerabilities could have led to data breaches and punitive damages.

Visit productView on Hacker NewsJun 2, 2022
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apis, open · Missing: mac, agents, macos
83%83% 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 NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
45%45% 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
44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% 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
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
19%19% 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
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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