Antalyzr

Antalyzr is an autonomous idea-generation system inspired by ant colonies. It deploys multiple cooperating agents—explorer, cleaner, classifier, evaluator, and synthesizer—that continuously scan the web for real user pains and convert them into prioritized, evidence-backed business opportunities. The target users are founders and product builders who struggle to spot high-signal problems across fragmented niches.

For the demo, we built a fully working MVP in n8n, exposed through a webhook: when the user calls the endpoint, the colony activates. SerpAPI gathers fresh search results, JavaScript agents extract and score pain signals, an LLM categorizes and summarizes them, and the final structured opportunities are stored in Google Cloud Storage. The output is a ready-to-use ranked list of ideas with severity, summary, and proof excerpts.

The project meets judging criteria through solid execution, a functional end-to-end pipeline, clear AI/agent cooperation, strong scalability (one person can run it), and market relevance (systematic discovery of monetizable pains). Technologies include n8n, SerpAPI, OpenAI/Mistral LLMs, and Google Cloud Storage. Next steps: multi-source exploration, better clustering, and instant landing-page generation.