TrustMRR
AI Research Chat
AI Research Chat is a conversational way to query all of TrustMRR. Instead of building filters by hand, you ask a question in plain language and the AI pulls the answer from the verified dataset, citing the exact startup rows it used.
Last updated: July 9, 2026
Quick answer
AI Research Chat is a conversational AI with 7 specialized tools covering search, details, clusters, categories, deals, benchmarks, and market data. Conversations persist, and every answer cites the underlying startup rows.
- Ask questions about startups, benchmarks, clusters, categories, and deals in plain language.
- 7 tools: searchStartups, getStartupDetails, getClusters, getCategoryAnalysis, getDeals, getRevenueBenchmarks, searchMarketData.
- Conversations persist so you can pick up where you left off.
- Every answer cites the real startup rows behind it.
On this page
How to use it
- 1
Open AI Research Chat
From the Revenue Intelligence area, open the research chat.
- 2
Ask a question
Type a plain-language question, for example "which categories have the highest median MRR?" or "show me deals under a 3x multiple in developer tools".
- 3
Read the cited answer
The AI runs the right tools and answers with the underlying startup rows cited, so you can verify the numbers.
- 4
Keep going
Follow up in the same conversation. It persists, so your thread and context stay available later.
The 7 tools it can call
- searchStartups - find startups matching your criteria.
- getStartupDetails - pull the full profile for a specific company.
- getClusters - return the AI clusters and their members.
- getCategoryAnalysis - return the market analysis for a category.
- getDeals - surface startups for sale.
- getRevenueBenchmarks - return average, median, and percentile MRR.
- searchMarketData - search across the wider market dataset.
Why the citations matter
Because every answer points back to real startup rows, you never have to take a number on faith. If the chat says a category's median MRR is a certain figure, you can open the rows it used.
Questions that map to each tool
You do not need to name the tools; the chat picks them based on what you ask. But knowing which question triggers which tool helps you phrase things so the right data comes back the first time.
- searchStartups - "find developer-tools startups doing over $5k MRR."
- getStartupDetails - "tell me everything about this specific company."
- getClusters - "which clusters group the fastest-growing startups?"
- getCategoryAnalysis - "what is the opportunity thesis for the Education category?"
- getDeals - "show me startups for sale under a 3x profit multiple."
- getRevenueBenchmarks - "which categories have the highest median MRR?"
- searchMarketData - "what does the wider market data say about this niche?"
Getting better answers
- Be specific about the metric - say median or average MRR rather than just revenue, since they differ sharply.
- State thresholds numerically - a 3x multiple or a $5k MRR floor gives the tools something concrete to filter on.
- Build on prior turns - because conversations persist, you can refine an answer instead of restating the whole question.
- Ask to see the rows - request the underlying startups when a number surprises you, and verify it directly.
The chat will not invent numbers
Every figure comes from one of the 7 tools querying the verified dataset. If the data cannot support an answer, the chat leans on what the rows actually say rather than filling the gap with a guess.
Frequently asked questions
Does the chat make up numbers?
No. It answers using 7 specialized tools that query the verified dataset, and every answer cites the underlying startup rows so you can check the figures yourself.
Do my conversations stay saved?
Yes. Conversations persist, so you can return to a research thread and continue where you left off.
How do I phrase a question to get the right data?
Be specific about the metric and any thresholds. Naming median versus average MRR, or a concrete filter like a 3x multiple or a $5k MRR floor, points the chat at the right tool - searchStartups, getRevenueBenchmarks, getDeals, and the rest - the first time.
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