Search real companies by industry, location, size, role, revenue and tech stack. Score the best fits, shortlist them, and export a clean CSV — no signup, nothing leaves your browser.
146+
Potential leads
0
Saved leads
39+
High potential
10+
Industries
146 potential leads found
Stripe
John Smith · Founder
Finance
San Francisco, USA
1-10
$1M-$10M
Notion
Sarah Garcia · CEO
SaaS
San Francisco, USA
11-50
<$1M
Airtable
Michael Anderson · Co-Founder
SaaS
San Francisco, USA
51-200
$50M+
Slack
Priya Wong · CTO
SaaS
San Francisco, USA
201-500
$10M-$50M
Asana
Wei Smith · Marketing Manager
SaaS
San Francisco, USA
500+
$1M-$10M
Calendly
Emma Garcia · Head of Marketing
SaaS
Atlanta, USA
1-10
<$1M
GitHub
David Anderson · Product Manager
Software
San Francisco, USA
11-50
$50M+
GitLab
Ananya Wong · Business Development Manager
Software
San Francisco, USA
51-200
$10M-$50M
Docker
Liam Smith · Founder
Software
Palo Alto, USA
201-500
$1M-$10M
HashiCorp
Olivia Garcia · CEO
Software
San Francisco, USA
500+
<$1M
Vercel
Noah Anderson · Co-Founder
Software
San Francisco, USA
1-10
$50M+
Netlify
Aisha Wong · CTO
Software
San Francisco, USA
11-50
$10M-$50M
No onboarding, no data import, no credit card. Open the workspace and start narrowing the list straight away.
Search
Search by company, industry, job title, or technology, or browse the full sample database.
Narrow it down
Apply combinable filters — industry, location, company size, role, revenue, tech — to narrow the list.
Review the fit
Open a lead to review the full company and contact profile, then set its outreach status.
Save & export
Save your best-fit leads, group them into lists, and export the shortlist to CSV.
Cut a long list down to the few businesses that actually fit, see how good a match each one is, and keep track of who you have contacted.
Powerful Combined Filters
Stack industry, location, company size, job title, revenue, and technology filters together to zero in on your exact ideal customer profile in seconds.
Lead Scoring Built In
Every prospect carries a 0–100 fit score with clear High, Good, Moderate, and Low tiers, so you always work the strongest opportunities first.
Save, Tag & Organise
Bookmark promising leads, group them into custom lists, and track outreach status — New, Contacted, Qualified — with everything persisted locally in your browser.
One-Click CSV Export
Export selected or shortlisted leads to a clean CSV with company, contact, email, revenue, and tech columns — ready to drop straight into your CRM or spreadsheet.
Partly, and transparently so. Each lead is a real, well-known company — its name, website, and industry are genuine public information, so the Website and LinkedIn actions open real pages. The contact person, email (always a reserved .example address), company size, revenue, and lead score are illustrative sample data and do not describe any real employee or the company's actual figures.
No. Client Finder runs entirely in your browser with no login required. Your saved leads, lists, and status changes are stored locally on your own device using browser storage.
Each lead has a fixed 0–100 score that maps to a tier: 80–100 is High potential, 60–79 Good, 40–59 Moderate, and below 40 Low. Scores help you prioritise which prospects to contact first.
Yes. Select any leads (or open a single lead) and export them to a CSV file that includes company, contact name, job title, email, industry, location, size, revenue, website, technologies, and lead score.
Saved leads, custom lists, and status updates are kept in your browser's localStorage. They stay on your device and are never uploaded to a server, so clearing your browser data will remove them.
A hand-picked set of companies worth reaching out to, the filters we used to find them, and outreach templates that actually get replies. One email a week, no noise.