Clone your best hires instead of guessing at new ones.

Define lookalike candidates by employer growth stage, headcount band, and funding history.

1B+

1B+

profiles

profiles

60+

60+

people filters

people filters

95+

95+

company filters

company filters

โ€œLookalikeโ€ search today means title matching. That flattens the signal that made your best hire great.

01

Keyword flattening turns every strong-performer profile into 'senior engineer.'

You search for someone like your top performer. The tool matches on title, skills, and location. It returns 500,000 results. Out of 700 people, maybe 200 are worth clicking. The filter that mattered most, the type of company they came from, was never available.

02

No recruiter tool filters by employer context.

03

Static profiles mean you find lookalikes of who someone was, not who they are now.

Your internal tools track the relationship and product usage, but nothing in your stack tracks the account itself.

01

Keyword flattening turns every strong-performer profile into 'senior engineer.'

You search for someone like your top performer. The tool matches on title, skills, and location. It returns 500,000 results. Out of 700 people, maybe 200 are worth clicking. The filter that mattered most, the type of company they came from, was never available.

02

No recruiter tool filters by employer context.

03

Static profiles mean you find lookalikes of who someone was, not who they are now.

Your internal tools track the relationship and product usage, but nothing in your stack tracks the account itself.

01

Keyword flattening turns every strong-performer profile into 'senior engineer.'

You search for someone like your top performer. The tool matches on title, skills, and location. It returns 500,000 results. Out of 700 people, maybe 200 are worth clicking. The filter that mattered most, the type of company they came from, was never available.

02

No recruiter tool filters by employer context.

03

Static profiles mean you find lookalikes of who someone was, not who they are now.

Your internal tools track the relationship and product usage, but nothing in your stack tracks the account itself.

What changes when you define lookalikes by employer profile

Today

With Crustdata

Search by title and keywords. Get 500K results with no employer context.

Search by title and keywords. Get 500K results with no employer context.

Filter candidates by employer headcount band, growth rate, funding stage, and geography.

Filter candidates by employer headcount band, growth rate, funding stage, and geography.

No way to express โ€œworked at a company that grew 3x in 2 years.โ€

No way to express โ€œworked at a company that grew 3x in 2 years.โ€

Enrich the ideal employer first, then search for people who worked at companies matching that profile.

Enrich the ideal employer first, then search for people who worked at companies matching that profile.

Profiles reflect the last database refresh, not the candidateโ€™s current role.

Profiles reflect the last database refresh, not the candidateโ€™s current role.

People data updates live from 15+ sources. Filter for recent job changes to catch candidates who just moved.

People data updates live from 15+ sources. Filter for recent job changes to catch candidates who just moved.

You manually research each employer to gauge company quality.

Every search result includes employer headcount, funding, growth rates, and industry.

Search for people by the company they came from

Profile your ideal employer first: 200-person Series B company growing 30%+ annually. Then search for people whose past employers match that profile.

headcount_band

funding_stage

growth_rate

3 credits per 100 results.

Profile the ideal employer so you can find more companies like it

Your best hire came from a specific type of company. Enrich that company to get the exact headcount, growth rate, funding stage, and industry.

headcount_timeseries

funding_rounds

growth_6m_percent

1 credit per company. Batch up to 25 per request.

Your next search starts with one question: what kind of company did your best hire come from?

Every candidate in the results worked in that same environment. The shortlist reflects who they are today, not who they were at the last refresh.

Free credits. No credit card.

Frequently Asked Questions

๐ŸŽ‰ We hit $10M ARR!

$600k to $10m in 1.5 years. Our entire GTM is powered by our own APIs.

Data

Delivery Methods

Use Cases

Solutions

Resources

Sign In

๐ŸŽ‰ We hit $10M ARR!

$600k to $10m in 1.5 years. Our entire GTM is powered by our own APIs.

Sign In

๐ŸŽ‰ We hit $10M ARR in 1.5 years!

Sign In