CyScout – Solidity Vulnerability Detection Powered by GitHub CodeQL

Hacker News

Hi everyone, GitHub's CodeQL is a powerful semantic code analysis engine for identifying vulnerabilities across codebases. We've extended CodeQL to support Solidity, the most popular programming language for smart contracts. CodeQL enables you to query code as though it were data, and it's open-source (OSS). You can check it out here: < https://github.com/CoinFabrik/CyScout/ >. The product page is available at < https://www.coinfabrik.com/products/cyscout-solidity-codeql/ >. CodeQL has its own licensing model, which you can find at https://codeql.github.com/ . TL;DR: CodeQL is free for research and open-source projects.

Visit product View on Hacker NewsOct 22, 2024

Share card

Actual performance

13points

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

80%80% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

18%18% 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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Extended Isolation Forest for anomaly detection37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Extended Isolation Forest for anomaly detection

Hacker News22

RCE Detection59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RCE Detection

Hacker News1

Anomaly Detection in Ruby52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Anomaly Detection in Ruby

Hacker News24

Anomaly Detection with Bytewax and Redpanda59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Anomaly Detection with Bytewax and Redpanda

Hacker News3

Go-nude – Nudity detection with Go59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Go-nude – Nudity detection with Go

Hacker News16

Chkbit bitrot detection59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chkbit bitrot detection

Hacker News2

CryptoVol and AnomaScope27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Anomaly detection and Volatility predictor

Indie Hackerscommitment-full-time

Refreak12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FACEIT Smurf detection and grenade lineups

Product Hunt+3

Clap detection – Push code to GitHub by Clapping twice61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Clap detection – Push code to GitHub by Clapping twice

Hacker News2

Forums48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-powered Q&A for GitHub repositories.

Product Hunt+274Open Source

Browse all products Analyze your launch