Computed across every launch we've tracked. These signals aren't on Product Hunt — they emerge when you analyze all of it together.
Where momentum is building vs. cooling
How crowded each space is — high share = harder to stand out
No launches with revenue data yet — sample will grow as the dataset accumulates.
Median MRR by category (min 10 startups). Use these to validate where the money actually flows.
High-MRR startups that never blew up on the launch leaderboard. Quiet money that bypassed the hype cycle.

Startups currently listed for sale, ranked by asking price.



Demand = median votes per launch · Supply = launch count (last 30d). Quadrants reveal underserved zones.
60-day average votes per launch by day of week
Winners (top 20%) average 7.4 words. Losers (bottom 20%) average 7.2.
Pairs of topics that appear together on top-25% launches
| Topic A | Topic B | Co-occurrences | Avg votes (top 25%) |
|---|---|---|---|
| Artificial Intelligence | Productivity | 15 | 13 |
| Alpha | Artificial Intelligence | 9 | 79 |
| GitHub | Open Source | 9 | 19 |
| Artificial Intelligence | Developer Tools | 8 | 42 |
| Developer Tools | SaaS | 8 | 21 |
| Artificial Intelligence | GitHub | 8 | 13 |
| Developer Tools | GitHub | 7 | 23 |
| Developer Tools | Productivity | 7 | 3 |
| Artificial Intelligence | Tech | 7 | 2 |
| Artificial Intelligence | SaaS | 6 | 32 |
| Education | Productivity | 6 | 2 |
| Productivity | Tech | 6 | 3 |
Repeat builders sorted by reputation × launch volume
Auto-detected signals that don't show up on the leaderboard