202 Twitter launches in five years. That's enough data to see real patterns. The numbers below show whether this category is growing, who's winning, and where the gaps are.
Five years of Twitter launch data. Volume, engagement, and the products that stood out.
202 Twitter launches in five years. That's enough data to see real patterns. The numbers below show whether this category is growing, who's winning, and where the gaps are.
| Quarter | Launches | Avg Interest Score | Top Product |
|---|---|---|---|
| Q1 2026 | 4 | 81 | Moltweet |
| Q1 2025 | 8 | 118 | Snowball |
| Q2 2025 | 5 | 51 | Tweet Toilet |
| Q3 2025 | 3 | 167 | Beeper |
| Q4 2025 | 3 | 191 | Touched Grass |
| Q1 2024 | 9 | 199 | Birdbanner |
| Q2 2024 | 3 | 110 | twiBook |
| Q3 2024 | 9 | 90 | That's One Second |
| Q4 2024 | 4 | 112 | Bookmarkx |
| Q1 2023 | 34 | 191 | Birdy |
| Q2 2023 | 29 | 190 | Typefully 2.0 |
| Q3 2023 | 15 | 148 | Restore Birdie |
| Q4 2023 | 11 | 117 | Mammoth 2 for Mastodon |
| Q1 2022 | 8 | 193 | Typefully Profiles |
| Q2 2022 | 17 | 122 | tweet.pics |
| Q3 2022 | 12 | 155 | Twitter Uni |
The Twitter category has been cooling over the past 6 years of tracked data. Total launches went from 4 in 2021 to 4 in 2026.
Average engagement ratio across all Twitter launches sits at 0.24. Products above that threshold tend to serve a real, specific need. Products below it often entered a crowded market without sufficient differentiation.
Three common reasons. The market consolidated around winners. The technology matured and stopped generating new startups. Or builder attention shifted to adjacent categories. Usually it's a combination.
Volume without engagement is saturation. Engagement without volume is opportunity. Check which one you're looking at.
Sum of all interest scores in the quarter divided by number of products. Simple average. We don't weight by category or product age.
Depends on what's declining. If volume drops but engagement rises, the market is maturing. That's often good for existing players. If both drop, the category may be dying. The quarterly breakdown on each page tells you which pattern you're seeing.
At least three. Two data points is a line, not a trend. We have five years of data for most categories, which is enough to distinguish real shifts from noise.