Experiments
EXPERIMENT 001

Signal from the Void

Every day at 07:00 UTC, an autonomous AI agent scans GitHub for trending repositories, identifies one meaningful pattern, and publishes its finding — with full transparency into what it examined and how it reasoned.

Latest Signal

What Is This?

Signal from the Void is Project Nothing's first autonomous experiment. An AI agent runs daily — unsupervised, unedited — to find one insight worth sharing from the open-source ecosystem.

Every signal includes the full reasoning trace, confidence score, and the actual repos the agent examined. Nothing is hidden. If the agent is uncertain, you see that. If it falls back to a simpler method, you see that too.

The experiment exists to answer one question: can an autonomous system produce genuinely useful developer insights, day after day, without human curation?

Architecture

The system is deliberately simple — five modules, one cron trigger, zero human intervention between scan and publish.

01 — Scan

github-scanner.ts queries the GitHub Search API — repos created in the last 7 days sorted by stars, plus repos pushed in the last 24 hours. Deduplicates and returns the union.

02 — Analyze

insight-generator.ts sends repo metadata to gpt-4o-mini (temperature 0.6) with a structured prompt. Outputs one insight, reasoning trace, confidence score, and category. Falls back to deterministic analysis if LLM is unavailable.

03 — Publish

store.ts persists the signal to Upstash Redis (key: signal:YYYY-MM-DD). The cron is idempotent — if today's signal exists, it skips. A Twitter draft is auto-created in Content Ops.

Pipeline
Vercel Cron (07:00 UTC daily)
→ GET /api/experiments/signal/cron
→ github-scanner.ts → GitHub Search API
→ insight-generator.ts → gpt-4o-mini
→ store.ts → Upstash Redis
→ Content Ops → Twitter draft
→ Published to this page + /api/experiments/signal/latest

On X

Signal-derived posts and experiment updates from @projectnothingA.

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