yasintoy/crowdmind
Validate ideas with AI personas + Reddit/HN/GitHub research. Optimize loop inspired by Karpathy's Autoresearch
**Technical Summary:** Analyzes codebases and aggregates real pain points from Reddit/HN/GitHub to generate and iteratively refine product ideas through multi-metric validation against diverse AI personas. Uses an auto-optimization loop that proposes, tests with 5-100+ personas, and retains improvements until target scores are met—powered by Claude or OpenAI APIs with adaptive concurrency handling for rate limits. Surfaces friction clusters across data sources, scores features on interest/usefulness/urgency, and provides structured feedback on willingness-to-pay before development begins.
Available on PyPI.
Stars
3
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 23, 2026
Monthly downloads
431
Commits (30d)
0
Dependencies
7
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/yasintoy/crowdmind"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
alvinunreal/awesome-autoresearch
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems...
WecoAI/awesome-autoresearch
Curated list of AutoResearch use cases with optimization traces and open source implementations
krzysztofdudek/ResearcherSkill
One file. Your AI agent becomes a scientist. 30+ experiments while you sleep.
mitdbg/Carnot
Optimized System for Deep Research
Just-Curieous/Curie
❓Curie: Automated and Rigorous Scientific Experimentation with AI Agents