Find companies worth selling to.
Paste your website. We infer your ideal customer profile, read candidate companies page by page, and return a ranked shortlist with a source behind every claim.
From your website to a qualified prospect list, in four steps.
One URL in. An ideal customer profile you approve, hundreds of companies discovered and screened, the best ones researched page by page, and a ranked shortlist out.
Your ideal customer profile, inferred from your own site.
Paste your URL. We read your services, case studies and customer logos, then show you the profile we inferred — industry, size, geography, the problem you solve — so you can correct it before any research starts.
Get your list- Editable before research
- One sentence of context is enough
- About a minute
Hundreds of candidates, not thousands of rows.
Search queries built from your ICP go out to several providers to find lookalike companies. Duplicates merge, obvious misses drop, and a cheap screening model cuts the pile to the companies actually worth reading.
Get your list- Multi-provider search
- Cheap screen first
- Politeness limits on every crawl
Every buying signal verified with a quote and a URL.
For each survivor we read the real pages and run your qualification checks. A check passes only when there is a quote from a page we fetched. Otherwise it is marked Not found — never guessed.
Get your list- Pass · Fail · Not found
- Source URL per claim
- Conflicts flagged
A target account list you'd actually put in your pipeline.
Scores are deterministic from check verdicts: ICP fit, problem fit, timing and evidence strength. Ten to twenty-five companies, ranked, each with why they fit, a reason to reach out now and the likely buyer.
Get your list- Deterministic scoring
- Reason to reach out now
- Likely buyer role
Everything you need to start, nothing to clean up.
Export the shortlist as CSV with scores, reasons and sources. Mark each company yes or no and the next run learns what a fit looks like for you.
Get your list- CSV export
- Yes / No feedback
- Runs stay inspectable
- Sells
- AI automation for logistics ops
- Industry
- 3PL · freight · last-mile
- Size
- 100 – 1,000 employees
- Buyer
- VP Operations
Read your services, case studies and customer logos. Correct anything before research starts.
Looks right — start research- Discovered312
- Duplicates−47
- Off-profile−204
- Worth reading61
Lookalike queries built from your ICP. Duplicates merged, obvious misses dropped.
cheap screen · 8sYou’ll own daily dispatch across six terminals. Today the team runs on spreadsheets and phone calls, and we’re automating shipment status communication in 2026.
Verified- Hiring in operations
- Stated automation goal
- Recent funding
- Uses a modern TMS
A check passes only with a quote from a page we fetched. Gaps stay marked Not found.
never guessed- 1. Northwind Freight94
- 2. Harbor Line88
- 3. Pinecrest81
Northwind: 3 ops roles opened this quarter — reach out now.
VP Operations → likely buyer9 yes, 3 no. The next run tightens the profile around what you kept.
learns from feedbackYour ideal customer profile, inferred from your own site.
Paste your URL. We read your services, case studies and customer logos, then show you the profile we inferred — industry, size, geography, the problem you solve — so you can correct it before any research starts.
Get your list- Editable before research
- One sentence of context is enough
- About a minute
- Sells
- AI automation for logistics ops
- Industry
- 3PL · freight · last-mile
- Size
- 100 – 1,000 employees
- Buyer
- VP Operations
Read your services, case studies and customer logos. Correct anything before research starts.
Looks right — start researchHundreds of candidates, not thousands of rows.
Search queries built from your ICP go out to several providers to find lookalike companies. Duplicates merge, obvious misses drop, and a cheap screening model cuts the pile to the companies actually worth reading.
Get your list- Multi-provider search
- Cheap screen first
- Politeness limits on every crawl
- Discovered312
- Duplicates−47
- Off-profile−204
- Worth reading61
Lookalike queries built from your ICP. Duplicates merged, obvious misses dropped.
cheap screen · 8sEvery buying signal verified with a quote and a URL.
For each survivor we read the real pages and run your qualification checks. A check passes only when there is a quote from a page we fetched. Otherwise it is marked Not found — never guessed.
Get your list- Pass · Fail · Not found
- Source URL per claim
- Conflicts flagged
You’ll own daily dispatch across six terminals. Today the team runs on spreadsheets and phone calls, and we’re automating shipment status communication in 2026.
Verified- Hiring in operations
- Stated automation goal
- Recent funding
- Uses a modern TMS
A check passes only with a quote from a page we fetched. Gaps stay marked Not found.
never guessedA target account list you'd actually put in your pipeline.
Scores are deterministic from check verdicts: ICP fit, problem fit, timing and evidence strength. Ten to twenty-five companies, ranked, each with why they fit, a reason to reach out now and the likely buyer.
Get your list- Deterministic scoring
- Reason to reach out now
- Likely buyer role
- 1. Northwind Freight94
- 2. Harbor Line88
- 3. Pinecrest81
Northwind: 3 ops roles opened this quarter — reach out now.
VP Operations → likely buyerEverything you need to start, nothing to clean up.
Export the shortlist as CSV with scores, reasons and sources. Mark each company yes or no and the next run learns what a fit looks like for you.
Get your list- CSV export
- Yes / No feedback
- Runs stay inspectable
9 yes, 3 no. The next run tightens the profile around what you kept.
learns from feedbackEvidence for every account. What we found, where we found it and how sure we are.
See the checksVerified
A claim quoted from a page we fetched, with its URL. The only thing that passes a check.
Not found
We looked and found nothing. The gap stays visible on the card instead of being filled with a guess.
Conflicting
Two pages disagree — About says 80 people, a job post says 300. We show both and lower confidence.
Confidence
Not a vibe. It counts verified checks, weighs conflicts and drops when the pages we needed didn't exist.
The checks we run. Every one comes back answered, with a source.
None of these need a spreadsheet of your own. A check passes only on a quote from a page we fetched — otherwise it stays Not found.
Get your listHiring signals
Open roles in the team you sell into, pulled from careers pages and ATS boards — job titles, counts, and the language of the posts.
Stated goals
Plans a company wrote down on its own site: annual letters, news posts, product pages. If they said it, we quote it.
Size & stage
Employee counts from About pages and job posts, cross-checked so one stale number can't carry the verdict.
Geography
Where they actually operate — terminals, offices, service areas — not where the domain is registered.
Tech & tooling
Stack mentions in job posts and integration pages, including the absence of one you'd expect.
Customer overlap
Who they serve, read off their own case studies and logo walls, matched against who you already sell to.
Steer the ICP with one sentence. Tight or wide, your call.
One sentence of context changes the whole search. Tell us who you actually sell to, what to prioritise or where to look — the ICP, the queries and the checks follow.
Get your list- 1sentence
- steers the run
- 4fields
- you can edit
- 3queries
- per provider
“We mainly sell to US logistics companies with 100–1,000 employees.”
Fewer candidates, higher pass rate. Good when you already know your lane.
- Industry
- 3PL, freight brokerage, last-mile
- Size
- 100–1,000 employees
- Geo
- United States
- Problem
- Manual dispatch & shipment comms
- 3PL companies midwest hiring operations
- freight brokerage 'customer updates' automation
- last-mile delivery company 200 employees
The buying signals we look for. The ones that fire become your opener.
- 01Open rolesHiring in the team you sell intoread from /careers
- 02Funding roundFresh budget, dated and sourcedread from press
- 03New leadershipA new VP usually means new toolsread from /team
- 04Product launchScope changes create gapsread from /blog
- 05ExpansionNew markets, offices or DCsread from /locations
- 06Tech adoptionStack mentions in job postsread from /careers
- 07Customer overlapThey serve who your customers serveread from /customers
- 08Stated goalsPlans written on their own siteread from /news
- 09PartnershipsWho they already integrate withread from /integrations
- 10Content themesWhat they keep writing aboutread from /blog
- 11Job post language“Spreadsheets” is a tellread from /careers
- 12GeographyWhere they actually operateread from /about
Polite account research. Honest results.
Company-level only
01No personal emails, phone numbers or scraped profiles. You get the company, the reason and the buyer role — you decide how to reach out.
Get your listPolite crawling
02Rate-limited fetches, a seven-day page cache and no hammering of the same site twice. Politeness limits are settings, not afterthoughts.
Get your listNothing invented
03A check only passes with a quote from a page we fetched. Gaps are Not found. Disagreements are flagged, not averaged.
Get your listInspectable runs
04Every stage writes structured output to the run. Open it and see what was searched, read, screened and why.
Get your listBuilt for B2B teams selling something specific.
SaaS companies and the agencies that build for them. Each profile shows what we read on your site, where your buyers leave signals, and what a qualified card looks like.
Developer tools
Your buyer documents their stack in job posts and engineering blogs. The easiest ICP to prospect with evidence.
Prospecting profileB2B SaaS
You know your ICP by heart. You need it applied to the web, with proof, not a CSV of 40,000 rows.
Prospecting profileAI SaaS
Ignore 'exploring AI'. Find the workflow you replace, done manually, at a volume that hurts.
Prospecting profileAI agencies
You automate a workflow for a vertical. You need the twenty companies still doing it by hand.
Prospecting profileDesign agencies
Design gets bought at moments: a raise, a new CMO, a first designer hire. Timing-first prospecting.
Prospecting profileAI dev agencies
Your customer wants to ship AI and can't hire for it. That gap is public: long-open roles, legacy stacks.
Prospecting profileQuestions before you run it. Short answers.
Where the companies come from, what we do with data, and what you get back.
Get your listA description of the companies most likely to buy from you: industry, size, geography, the problem they have and who owns it. find-customer infers yours from your own website — services, case studies, customer logos — and lets you correct it before any prospecting starts.
Those are databases and enrichment tools: you filter millions of rows and get contacts back. find-customer is an AI research tool: it reads each company's actual web pages against your ICP and returns a short, ranked list where every claim links to the page it came from. Fewer companies, far more evidence — and no contact data, so nothing to clean up or comply with.
From search. We build queries from your ICP, run them across several providers, merge the results and screen them cheaply before any deep research. Nothing comes from a purchased database.
No. This version returns company-level results only: the company, why it fits, a reason to reach out now, the likely buyer role and the evidence. No emails, no phone numbers, no scraped profiles.
Five to fifteen minutes for a free run, depending on how many pages we need to read. You can leave the page — the run keeps going and lands at its own URL.
It is marked Not found. We never fill a gap with a guess, and a check only passes when we can quote a page we actually fetched. If two sources disagree, we show both and flag the conflict.
Yes. After we read your site we pause and show you the profile. Edit anything, add a sentence of context, then start the research.
A ranked shortlist of 8–25 companies. Each card has fit scores, a plain-English reason, a reason to reach out now, the likely buyer and every piece of evidence with its source URL. Plus a CSV.
Give us your website. We’ll do the reading.
We run the research for you and send back a short list: companies that fit, a named buyer at each, and the source behind every claim.
