Build NetworkShip with Confidence
Autonomous repository discovery and LLM evaluation for builders who want to grow organically
Autonomousdevelopernetworkingbuiltforseriousbuilders.FollowMeanalyzesrealcodequalityandrepositoryREADMEswithNVIDIANIMLLMs,intelligentlyfilteringoutspam,starsdeservingprojects,andbuildsgenuinemutualconnectionsacrossyourtechstack.
Intelligent Profile Evaluation
AI grades code substance and architecture on a 1–100 scale
Madhan Adepu
@madhanioBuilding AI systems that actually work in prod.
Rate-Limit Protection
Monitors GitHub Core and Search quotas in real time
Core API Remaining
4,920 req/hr
Evaluated Over
3.9k+ Profiles
Built to Scale
Autonomous infrastructure that runs 24/7 on your schedule
Trusted by builders worldwide
“FollowMe completely streamlined how our open source projects discover peer developers. Our repository stars and mutual followback ratios doubled within weeks.”
How it works
Autonomous scouting and LLM evaluation built for serious open source builders, running 24/7 on your schedule.
Explore live demoAutomated Discovery
Scans recently pushed repositories across your tech stack with custom language and topic filters.
NVIDIA NIM Evaluation
Evaluates code quality, architecture, and READMEs on a scale of 1–100 to weed out empty forks or spam.
Smart Connection
Stars deserving repositories and follows active peer developers with automated grace-period management.
Everything you need to know
Have questions about self-hosting or AI evaluation logic?
FollowMe extracts repo READMEs, dependencies, and code structure, sending them to NVIDIA NIM (e.g. meta/llama-3.3-70b-instruct or groq models). The prompt evaluates code originality, utility, architecture quality, and documentation, returning a resilient 1–100 score while filtering out empty forks or tutorial clones.