What indie founders are actually building, where the demand is moving, and which categories have the strongest validation signals — based on the Business Ideas Database, an aggregated index of Reddit pain threads, App Store complaint patterns, and keyword growth data.
Where validated ideas concentrate. Average search volume per idea shown alongside count — categories with high volume + high count are the most actively-demanded indie wedges.
| Category | Ideas | Avg. volume | Share |
|---|---|---|---|
| App | 24 | 45.2K | 57% |
| SaaS | 13 | 8.9K | 31% |
| Tool | 2 | 53.5K | 5% |
| SaaS + Hardware | 1 | 1.6K | 2% |
| Platform | 1 | 18.1K | 2% |
| Mobile App | 1 | 2.4K | 2% |
The validated ideas with the largest measurable buyer-intent signal. Volume is US-only monthly search data; growth percent is year-over-year.
Where new demand is accelerating. Growth percent is the change in monthly search volume from 2025 to 2026 for the underlying keyword.
The ideas the BID scoring rubric ranks most opportunistic — accounting for market size, competitive landscape, and the gap between current solutions and demand.
The Business Ideas Database is built from three primary sources: a continuously-running Reddit scanner that pulls posts matching 170 indie-founder query patterns across active subreddits (r/SaaS, r/SmallBusiness, r/Entrepreneur, r/IndieHackers, r/SideProject, and category-specific subreddits), the iTunes App Store API for app metadata and reviews, and DataForSEO for monthly keyword search volume in the US market.
Each candidate signal — a Reddit post or an App Store review cluster — is scored by an AI rubric (Grok 3 mini) across four dimensions: opportunity (market size and competitive gap), problem severity (how acute the user pain is), feasibility (how easy the MVP is for a solo or small team), and timing (whether the market window is open now). Posts scoring 7+ on at least one dimension are flagged for review. The final ideas that appear in the database are those that combine validated demand (Reddit threads + monthly search volume above a minimum threshold) with at least one strong dimension score.
Every idea in the dataset retains its source: links back to the original Reddit threads, the underlying keyword, the App Store reviews where applicable, and the competitor mapping at time of analysis. Scores are versioned; the dataset is re-scored when the underlying scoring prompt changes, with the prior version archived. The full scoring rubric and source code for the scanner are scheduled for public release in 2026.
This report aggregates the dataset as of May 24, 2026. The dataset is updated continuously; the next annual report will be published in Q2 2027 covering the 2027 indie business idea landscape.
This report is free to cite and reference. Suggested citation format:
Every idea, score, and underlying Reddit thread is browseable in the Business Ideas Database.
MIT licensed, machine readable, free to cite and build on. Available as JSON or CSV.