Find companies like your best customer
Paste the domain of an account you already closed. We read what that company actually does and return the closest matches in the graph, scored and explained.
Our data catalog is being loaded. Until it is live the lookalike finder returns no matches.
How the matching works
Similarity you can argue with
No embedding black box. Every match is scored on seven explicit dimensions and every row tells you which ones fired.
1 · We read the company
The seed is resolved to a profile: what it sells, who buys it, headcount band, market, revenue band and the technology on its website.
- Activity summary
- Headcount band
- Market and city
- Technology on the site
2 · Seven dimensions, weighted
Segment agreement carries the most weight, then headcount and shared stack, then industry section, country, revenue band and company age.
- Same segment+34
- Similar headcountup to +18
- Shared stackup to +18
- Same industry section+12
- Same country+10
- Same revenue band+8
- Founded within 5 years+4
3 · Reasons, not vibes
Each row carries the chips that earned its score, so you can drop a whole class of match when it is wrong for your offer.
- Same segment · Dental clinics
- Headcount band 11-50
- Shared stack · HubSpot
- Same market · Germany
- Revenue $1M-$10M
Then let it run itself
A lookalike list is the start. Autopilot researches each match, writes every email individually, sends from managed pre-warmed domains, classifies the replies and books the meeting — at $0.03 per email sent.