Data sources overview

Review and discussion data

• G2 - 350+ categories, 8,000+ companies, 850K+ reviews.
• Capterra - 999 categories, 13,316 companies, 273K+ reviews.
• Reddit - 3M+ subreddits of discussion and complaints.
• App Stores - reviews across thousands of apps.
• Product Hunt - launch and product signal data.

Together, G2 and Capterra alone account for more than 1.1 million reviews. These sources capture what users already say about existing software, which is where feature gaps and switching triggers surface most clearly.

Market and money signals

• Upwork - 500+ job categories, 5,000+ jobs (willingness-to-pay signal).
• VC and accelerator portfolios / Funded DB - what investors back.
• Stripe directory / Stripe Index - who is already monetized.

How the sources fit together

Each source answers a different question, and the value comes from stacking them. Demand data shows what people struggle with; feedback data shows where current tools fall short; and money data shows whether anyone is actually paying to solve it.

1. 1

   Find the pain

   Reddit, G2, Capterra, and app reviews surface recurring, high-severity complaints.

2. 2

   Confirm willingness to pay

   Upwork jobs show people already spending money on the problem.

3. 3

   Check who is monetized

   Stripe Index shows the supply side - who is already taking payments in the niche.

4. 4

   See where capital flows

   Funded DB shows what sophisticated investors are backing in the space.

The deeper money layers each have their own page: Funded DB, Stripe Index, and SellSide DB.

Accessing sources through the MCP

Every source on this page is reachable from your AI client through the hosted MCP. The 30 MCP tools map onto these datasets, so you can search complaints, reviews, jobs, funding, and Stripe supply without opening the app.

https://bigideasdb.com/api/mcp/bigideasdb-mcp

See the MCP tools reference for which tool queries which source.