TrustMRR

Searching startups

Startup search is the front door to TrustMRR. It lets you query 6,040+ verified SaaS startups and filter down to the exact set you care about, with MRR, growth rates, profit multiples, and 50+ data points available on every company.

Last updated: July 9, 2026

Quick answer

Open the startup search, type a keyword or category, then narrow with filters on MRR, growth, and profit multiple. Open any result to see the full 50+ data-point profile for that company.

  • Search 6,040+ verified startups by keyword or category.
  • Filter on MRR, growth rate, and profit multiple.
  • Open a result for the full 50+ data-point profile.
  • Start broad, then narrow with filters rather than scrolling.
On this page

What you can filter on

  • MRR - monthly recurring revenue, in dollars.
  • Growth rate - how fast revenue is moving.
  • Profit multiple - useful when scanning for acquisition candidates.
  • Category - one of the 31 tracked categories.

Start broad

Begin with a wide query and tighten with filters. You learn more about a niche by seeing the full spread of companies before you cut it down.

Reading a startup profile

A result row is a summary; the profile is the whole story. Each of the 6,040+ startups carries 50+ data points, and the profile is where MRR, growth rate, profit multiple, and the qualitative signals sit side by side. Read them together rather than fixating on a single number, because a high MRR paired with flat growth tells a very different story than a modest MRR that is climbing fast.

Pay attention to the relationship between metrics. A company with strong MRR and an attractive profit multiple may be a good acquisition study; a company with fast growth but thin revenue may be a better model for a launch you are planning. The profile exists so you can tell those cases apart before you commit.

Search patterns that work

  • Validate a niche - search the keyword, then read the spread of MRR to see whether real money exists there.
  • Find comparables - filter to your category and a similar MRR band to see what companies like the one you plan to build actually earn.
  • Hunt acquisitions - sort toward low profit multiples and open profiles to shortlist candidates.
  • Study winners - filter to the top of a category to understand what the leaders have in common before you try to beat them.

Filters beat scrolling

With 6,040+ companies in the set, scrolling is a poor strategy. Every question you can phrase as a filter - an MRR floor, a growth threshold, a multiple ceiling - turns a long list into a short, decision-ready one.

Frequently asked questions

How many data points are there per startup?

Each of the 6,040+ startups carries 50+ data points, including MRR, growth rate, and profit multiple, all viewable from the company profile.

How should I narrow 6,040+ startups down?

Start with a broad keyword or category to see the full spread, then tighten with filters on MRR, growth rate, and profit multiple. Phrasing each question as a filter is far faster than scrolling the list.

Can I use search to find acquisition candidates?

Yes. Filter toward lower profit multiples and open profiles to build a shortlist, then move to Deal flow for the 1,636 startups currently listed for sale.

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