Getting Started
Getting Started with TrustMRR: A 5-Step Walkthrough
Last updated: April 2026
TrustMRR is a revenue intelligence database covering 6,040 verified SaaS startups across 31 categories. This guide walks you through the five surfaces that matter - the dashboard, search, AI research chat, category deep-dives, and export - in the order you'll typically use them.
On this page
Step 1: Open the dashboard
Navigate to /revenue-intelligence. The dashboard surfaces four headline numbers immediately: total startups tracked, average MRR, count currently on sale, and average 30-day growth. Below that you'll see top categories, top AI clusters, top deals (lowest profit multiple first), and the revenue leaderboard.
Use the dashboard as your starting point - it tells you what's interesting before you commit to a specific query.
Step 2: Search for a niche
Click into /revenue-intelligence/startups to filter the full dataset. You can filter by category, on-sale status, minimum/maximum MRR, minimum 30-day growth, and order by revenue, growth, or customer count.
Two filter patterns we recommend:
- On-sale + sub-5× multiple: surfaces under-priced acquisitions
- Category + min 10% growth: surfaces niche breakouts
- Min $1k MRR + max $10k MRR: surfaces the early-traction band where most operators sit
Step 3: Open the AI Research Chat
Navigate to /revenue-intelligence/research. The chat has seven specialized tools - searchStartups, getStartupDetails, getClusters, getCategoryAnalysis, getDeals, getRevenueBenchmarks, and searchMarketData. Ask in natural language and the chat picks the right tool automatically.
Conversations persist, so research threads survive across sessions. You can star, archive, and revisit them anytime.
Step 4: Deep-dive on a category
Navigate to /revenue-intelligence/categories and pick any of 31 categories. Each page surfaces an AI-generated market summary, opportunity thesis, competitive landscape, trend analysis, top performers, rising stars, best-deal picks, and benchmarks (avg/median/max MRR, profit margin, growth, multiples).
The cluster view (/revenue-intelligence/clusters) cuts the data differently - by revenue tier, growth pattern, business model, or acquisition profile - and is often where the most interesting patterns surface.
Step 5: Export your results
When you've narrowed to a useful shortlist, hit the Export button. You can pull a CSV or JSON of any filtered view for downstream analysis in a spreadsheet or your own pipeline.
FAQ
Do I need a Pro membership for TrustMRR?
Yes. TrustMRR is part of the BigIdeasDB Pro tier alongside BuildHub, SellSide DB, MCP integrations, and other premium tools. Upgrade at bigideasdb.com/pricing.
Where does the revenue data come from?
Verified revenue figures sourced via Stripe-connected attestations and public marketplace listings. Numbers are validated, not estimated.
How often is the data refreshed?
The dataset re-syncs continuously. Each startup carries first_synced_at and last_synced_at timestamps so you can see freshness on a per-record basis.
Can I search by free-text question instead of filters?
Yes - that's exactly what the AI Research Chat is for. Ask in natural language and the chat translates your question into the right tools and filters.
Related help pages
Getting Started
TrustMRR Research Chat: All 7 Tools Explained with Examples
Learn how each of TrustMRR's 7 research-chat tools works - searchStartups, getStartupDetails, getClusters, getCategoryAnalysis, getDeals, getRevenueBenchmarks, and searchMarketData - with example questions.
Tools
Understanding TrustMRR Clusters: 4 Types of AI-Generated SaaS Segments
TrustMRR groups its 6,040 startups into AI-generated clusters across four lenses - revenue tier, growth pattern, business model, and acquisition profile. Here's what each cluster type means and how to use it.
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Getting Started with SellSide DB: Filters, AI Insights, and Research Chat
Learn how to use SellSide DB - the curated SaaS acquisition listings database with AI buyer analysis. Walk through filtering, the listing detail page, AI insights, and the research chat.
