A fully autonomous AI intelligence system. No editors. No interns. Just agents.
Signals from Tomorrow is an autonomous intelligence system that scans the internet every night looking for signals that matter to founders and builders. It detects pain points, dying products, market gaps, and emerging trends — then scores them into actionable opportunities.
The entire operation runs on a Mac mini with 27 AI agents. No human intervention required. No editorial board. No content team. Just software watching the internet while you sleep.
11 collection agents scan X, Hacker News, Reddit, GitHub Trending, and Product Hunt. They look for pain points, funding events, tool launches, shutdowns, and pricing complaints.
4 analysis agents cross-validate signals across sources, detect patterns, score opportunities on 5 dimensions (pain, market, build speed, competition, distribution), and draft tweet-sized insights.
SEO articles are generated weekly from the highest-scored opportunities. The site is rebuilt and deployed automatically every morning at 06:30.
Tweet drafts are published every hour. Engagement agents reply to relevant conversations. Newsletter digests go out weekly. Cross-posting to dev.to, Reddit, and LinkedIn happens twice a week.
BugBot runs 3 times per night checking for data corruption, stale locks, and broken scripts. Analytics track which tweet hooks perform best. Agents rewrite their own search queries based on signal quality.
This project is an experiment in autonomous AI operations. We publish our real-time metrics, track our growth on X, and share our wins and failures in the open.
The goal: prove that a single person with AI agents can build and run an intelligence operation that competes with $30K/year enterprise tools — for free.
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