How it works
DealScanner turns 236 scattered broker websites into one short morning briefing of businesses worth buying — filtered to your investment thesis. Here is the whole pipeline, end to end.
From noise to a shortlist
Most listings are not for you. Each stage narrows the pile so you only ever read the deals that fit — the rest stay searchable but out of your way.
Coming soon: your votes sharpen it
Today a deal either clears the thesis or it doesn't — a binary keyword-and-size gate. Every yes / maybe / no you cast is saved with the deal's full context. That becomes the training set for an instinct model that learns the judgment calls behind your votes — ranking deals the way you would, not just matching words.
Two principles that keep it cheap and honest
The database is the brain. Every listing is stored once, thesis-neutrally. Your settings are a lens applied when you read — so changing a keyword re-ranks the whole board instantly and for free, with no re-scrape.
Spend is capped and visible. Only the cheapest model is used, every AI call is metered against a daily cap, and the Spend page shows exactly what each day cost versus what it found.