The Circus · 01
A signal engine that finds companies the moment they raise capital, scores each with an AI propensity model, and surfaces the ranked results live. Running entirely on Cloudflare.
See it live ↗Modern go-to-market is a pipeline: watch for a buying signal, enrich the company behind it, decide whether it's worth pursuing, and put the ranked answer in front of someone. Merlin is that whole loop built as a working demonstration. Proof that an entire GTM signal engine can run on an edge platform with no servers and no external services to babysit.
The signal it watches: companies that just raised capital, pulled from public SEC EDGAR Form D filings. The "why now" is baked into every record.
A cron trigger kicks off weekly discovery (or you hit "Run now" on the dashboard). A durable, auto-retrying Workflow orchestrates the steps; Workers fan out to enrich each company; Workers AI acts as a propensity model, scoring each company's fit 0–100 against a configurable ICP and writing out its reasoning. Results land in a D1 database and render on a public dashboard served from the same Worker.
The ICP is a swappable definition. Point the same engine at a different buyer and it re-scores against the new target. The first instance scores companies against a developer-platform / edge-infrastructure ICP.
Every piece. Scheduling, durable orchestration, the LLM agent, the database, the dashboard. Is a Cloudflare primitive. It's the clearest way I've found to show that the infrastructure a GTM team used to need a stack of vendors for now fits inside one deployment.