Finding lookalike companies is the same search every week.
Seeds, sectors, geography, headcount, then all over again.
Find New Companies
Built by people who have spent too many hours doing this manually
Your next customer looks a lot like your best one. Finding it is the boring part.
We built a discovery workflow that starts from companies the team already trusts, finds similar accounts inside the ICP, removes known names and exclusions, then queues a short list for review with a clear reason for each pick.
Outreach only works inside the right companies.
A weak account list wastes every step that follows.
Sales time burns on companies nobody vetted.
The cost hides in weak account lists, not in the selling.
What we built
It turns trusted examples into reviewed ICP-fit accounts. Approved accounts can feed the contact-search loop next.
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- Load client rules
- Rotate reference companies
Sets the target
Under the hood
- Reads the client brain: ICP, seed companies, exclusions, batch caps
- Rotates through the seed list by day and by batch, so every run compares against fresh reference companies
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- Search ICP-fit candidates
- Verified names only
- Drop known names
Finds matches
Under the hood
- Pulls a wide pool of candidates filtered by sector, geography, and headcount
- Only verified companies enter the pool, never brainstormed names; nothing usable means the run stops instead of guessing
- Seeds, everything ever queued, and client exclusions are stripped, and name variants collapse so the same company can't sneak in twice
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- Rank against gold ICP
- Learn from rejections
- Cap the shortlist
Explains the fit
Under the hood
- AI ranks the candidates against the gold ICP: the seed cohort plus every company the team approved before
- Past rejections and their reasons are read as a do-not-suggest signal
- Each pick carries a one-line reason for the fit
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- Write to review queue
- Notify the team
Queues for review
Under the hood
- Suggestions land in a Company Queue tab as Pending Review, each with its reason
- The team marks Approved or Rejected right in the sheet
- A Discord message lists the batch and what to do next
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- Move approved accounts
- Store rejections
- Keep the queue clean
Stores decisions
Under the hood
- Approved companies move into the account list the sales workflow already uses
- Rejected companies and reasons are stored as do-not-suggest signals
- Pending names stay in review instead of being treated as approved
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- Hand off approved accounts
- Prepare contact search
- Report what changed
Sets up what comes next
Under the hood
- The approved account list is ready for contact search, outreach prep, or manual review
- The next workflow starts from reviewed companies, not raw search results
- Discord gets the totals, approvals, rejections, and remaining review queue
The outcome
The team gets reviewed accounts to work from, not another blank search.
Reviewed accounts
Sales sees account suggestions with fit reasons, ready for yes or no.
Human veto
No company becomes a target until the team approves it.
Sharper batches
Approvals and rejections shape the next run.
No double work
Known names, rejections, and exclusions stay out.
Next loop ready
Approved accounts can move straight into contact search.
Take the step
Start with the right accounts.
We turn your best customers, ICP rules, and exclusions into a controlled company-discovery loop that your team can review and keep improving.
Get in touch