This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
VibeScore investigates GitHub repositories and generates a cinematic forensic report instead of a traditional analytics dashboard. Paste any GitHub repository URL and receive a detailed investigation covering AI-assisted development patterns, maintainability, architecture quality, technical debt, testing readiness, documentation health, secret hygiene, and production readiness.
I'm Ahmed Salih Ac , and I'm excited to share VibeScore.
The idea came from a problem I've faced for years as a mobile developer and engineering lead.
Whenever I discovered a GitHub repository, evaluated an open-source package, reviewed a candidate project, or assessed a codebase before adoption, I found myself asking the same questions:
• Is this repository actually maintainable? • Is it well documented? • Is it actively maintained? • How much technical debt does it contain? • Can I trust it in production?
Most of the answers required manually exploring folders, commits, documentation, dependencies, and code structure.
So I built VibeScore.
Instead of another analytics dashboard, VibeScore turns repository analysis into a forensic investigation. Paste a GitHub URL and receive a complete cyber-dossier covering maintainability, architecture, testing signals, documentation quality, technical debt, secret hygiene, production readiness, and AI-assisted development patterns.
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About VibeScore on Product Hunt
“Repository due diligence for the AI era”
VibeScore was submitted on Product Hunt and earned 4 upvotes and 2 comments, placing #159 on the daily leaderboard. VibeScore investigates GitHub repositories and generates a cinematic forensic report instead of a traditional analytics dashboard. Paste any GitHub repository URL and receive a detailed investigation covering AI-assisted development patterns, maintainability, architecture quality, technical debt, testing readiness, documentation health, secret hygiene, and production readiness.
VibeScore was featured in Software Engineering (42.7k followers), Vibe coding (561 followers) and Vercel Day (20 followers) on Product Hunt. Together, these topics include over 9.1k products, making this a competitive space to launch in.
Who hunted VibeScore?
VibeScore was hunted by AHMED SALIH AC. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how VibeScore stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
AHMED SALIH AC
Hey Product Hunt 👋
I'm Ahmed Salih Ac , and I'm excited to share VibeScore.
The idea came from a problem I've faced for years as a mobile developer and engineering lead.
Whenever I discovered a GitHub repository, evaluated an open-source package, reviewed a candidate project, or assessed a codebase before adoption, I found myself asking the same questions:
• Is this repository actually maintainable?
• Is it well documented?
• Is it actively maintained?
• How much technical debt does it contain?
• Can I trust it in production?
Most of the answers required manually exploring folders, commits, documentation, dependencies, and code structure.
So I built VibeScore.
Instead of another analytics dashboard, VibeScore turns repository analysis into a forensic investigation. Paste a GitHub URL and receive a complete cyber-dossier covering maintainability, architecture, testing signals, documentation quality, technical debt, secret hygiene, production readiness, and AI-assisted development patterns.
A few things I'm particularly excited about:
- Repository Forensics Reports
- Secret Hygiene Reviews
- Documentation Evidence Detection
- Architecture & Maintainability Analysis
- Technical Debt & Risk Assessment
- Historical Trend Tracking
- Actionable Remediation Plans
I'd love to hear your feedback.
What is the first repository you would investigate with VibeScore?