4003 SaaS products tracked since 2021. The engagement data is more interesting than the volume data. Categories where engagement rises while volume drops are the ones with the most opportunity.
Five years of SaaS launch data. Volume, engagement, and the products that stood out.
4003 SaaS products tracked since 2021. The engagement data is more interesting than the volume data. Categories where engagement rises while volume drops are the ones with the most opportunity.
| Quarter | Launches | Avg Interest Score | Top Product |
|---|---|---|---|
| Q1 2026 | 202 | 98 | SuperX |
| Q2 2026 | 13 | 85 | Walkie |
| Q1 2025 | 273 | 140 | Tool Finder |
| Q2 2025 | 283 | 104 | FirstQuadrant |
| Q3 2025 | 258 | 115 | Clueso |
| Q4 2025 | 169 | 122 | TrustMRR |
| Q1 2024 | 285 | 176 | Findr |
| Q2 2024 | 217 | 194 | PaddleBoat |
| Q3 2024 | 264 | 166 | SuperGPT |
| Q4 2024 | 170 | 180 | Stackfix |
| Q1 2023 | 195 | 160 | Collato |
| Q2 2023 | 251 | 162 | Olvy 2.0 |
| Q3 2023 | 298 | 183 | Klu AI |
| Q4 2023 | 297 | 177 | Nudge 2.0 |
| Q1 2022 | 92 | 170 | ThreadStart |
| Q2 2022 | 76 | 157 | Switchboard |
The SaaS category has been steady over the past 6 years of tracked data. Total launches went from 402 in 2021 to 215 in 2026.
Average engagement ratio across all SaaS launches: 0.32. Products above that line tend to solve a specific, painful problem. Products below it often entered a crowded space without clear differentiation.
SaaS peaked in 2023 with 1041 launches. That was 3 years ago. The decline since then could signal market consolidation, saturation, or attention shifting to adjacent categories.
Average engagement per product has risen from 0.28 in 2021 to 0.38 in 2026. That upward trend means the community is spending more time with each new launch. Either the products are getting better, or the audience is getting more selective. Probably both.
The highest-performing quarter was Q2 2024, with an average interest score of 194 across 217 launches. PaddleBoat led that quarter.
4003 B2B launches (100%) vs 0 B2C (0%) across the full SaaS dataset. SaaS is heavily B2B. The products here target teams, companies, and professional workflows.
2021: 402 launches. Average interest: 177. Average engagement: 0.28. Top launch: Tango (1,132 interest).
2022: 426 launches (+6% vs 2021). Average interest: 165. Average engagement: 0.32. Top launch: Sessions 2.0 (1,001 interest).
2023: 1041 launches (+144% vs 2022). Average interest: 172. Average engagement: 0.27. Top launch: Klu AI (1,447 interest).
2024: 936 launches (-10% vs 2023). Average interest: 178. Average engagement: 0.29. Top launch: Findr (1,298 interest).
2025: 983 launches (+5% vs 2024). Average interest: 120. Average engagement: 0.42. Top launch: Clueso (1,323 interest).
2026: 215 launches (-78% vs 2025). Average interest: 97. Average engagement: 0.38. Top launch: SuperX (934 interest).
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.
Current year launches compared to the same period last year. Positive means more products launching. Negative means the category cooled. Neither is inherently good or bad. A mature category with fewer but better launches is often healthier than one flooding the market with clones.
Launch volume drops but engagement per product rises. Fewer builders entering, but the ones that do find a more receptive audience. That's an opportunity signal. We flag it when we see it.
We report what happened. We don't predict. Five years of data shows patterns, but markets surprise people for a living.
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.