ghfind scores GitHub profiles with MiniCPM-V 4.7 as its main model

AIOpenBMB says ghfind, an open-source GitHub scoring and roasting platform with 12K daily visits, now uses its MiniCPM-V 4.7 API as the main model. The tool gives each username a 0–100 value and trust score, one of five verdict tiers, and a roast based on public data, with six scoring dimensions and ten red-flag signals for spotting inflated stars, bot activity, and PR farming.

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🔍 What does your GitHub profile say about your contributions?

Meet ghfind, an open-source GitHub scoring and roasting platform with 12K daily visits, now powered by our MiniCPM-V 4.7 API as its main model.

💯 Enter a GitHub username to get a 0–100 value & trust score, one of five verdict tiers, a sharp roast grounded in public data, and practical suggestions for improvement.

Six scoring dimensions and ten red-flag signals help distinguish sustained contributions from inflated stars, bot activity, and PR farming. 🔥

🧠 Behind the roast is a demanding workload: 30–50KB of input per analysis, code and contribution history to interpret, and structured JSON to generate. The developer reports near-100% success with MiniCPM-V 4.7 on these tasks.

🚀 What will you build with MiniCPM-V 4.7? We welcome your apps, demos, and real-world use cases. Share your project and tag @OpenBMB!

Try it: http://ghfind.com
⭐ Explore the code: http://github.com/hikariming/ghfind
🔗 MiniCPM-V GitHub: http://github.com/OpenBMB/MiniCPM-V
🤗 Model info: http://huggingface.co/collections/openbmb/minicpm-v-47

#MiniCPM #OpenBMB #OpenSource #GitHub #AI

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OpenBMB · x.comPublished Oct 20, 9:30 AM ET · added here 9:43 AM ET

Original title: 🔍 What does your GitHub profile say about your contributions?

ghfind scores GitHub profiles with MiniCPM-V 4.7 as its main model

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