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ai2026Case study

RepoRadar

AI discovery engine for GitHub — surfaces viral, commercially useful repositories, scores their agency potential out of 100, and generates monetization angles, deliverables and fork blueprints. Includes AI Deep Search and a one-click audit of any repo URL.

CLIENT
RepoRadar
ROLE
Product design · Full-stack development · AI integration
STACK
React · Vite · GitHub data · AI repo audits
RESULT
Agency Score (0–100) on every repo, with live trending data
RepoRadar — ai project by SolidAtoms
RepoRadar — screen 2

The brief

Agencies and indie developers waste hours scrolling GitHub trending for something worth building on. We wanted one place that finds high-value open-source repositories and explains, in business terms, what you could do with each one.

What we built

RepoRadar lists trending and viral repositories by category (agency stacks, SaaS starters, AI agents, DevTools, automation) and time window, filterable by stars, newness and agency score. Every repo card carries an Agency Score out of 100, a revenue and monetization angle, concrete agency deliverables, and a "Fork & Work On" path. Users can audit any repository URL with AI, run an AI Deep Search for a niche, and save favourites.

Also available as a tool

RepoRadar is live at reporadar.solidatoms.com and listed in the SolidAtoms tools section — one of the AI-native products we build in-house.