Metlo (YC S21) – An Open Source API Security Tool

Hacker News

Metlo - An Open Source API Security Tool Hey folks! Excited to share what we’ve been working on for the last couple months. Metlo is a self hosted, open source first API security platform that inventories, tests and protects your API endpoints: - We inventory your endpoints by scanning API traffic and detecting all your endpoints along with the sensitive data they contain. - We generate information your security team may find useful like Open API Specs and risk scores for each endpoint. - After this we discover vulnerabilities like unauthenticated endpoints returning sensitive data or missing HSTS headers. - Finally Metlo detects any anomalous behavior on sensitive endpoints in real time so you can detect 0-day attacks as they're happening. We have a demo environment to play around with here http://demo.metlo.com/ . Also, Here's a demo video if you would like a quick walk through of the product :) https://www.loom.com/share/349c9e5f267741e9a0fcd2dfd1f9956f

Visit product View on Hacker NewsOct 13, 2022

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

89%89% 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 · Strong signals: excited, open source, ide · Missing: https docs, just released, exist

81%81% 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

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% 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

16%16% 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, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

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