The Email launch landscape has shifted every year since 2021. 616 products indexed. Below, we break it down by volume, engagement, and the individual products that mattered most.
Five years of Email launch data. Volume, engagement, and the products that stood out.
The Email launch landscape has shifted every year since 2021. 616 products indexed. Below, we break it down by volume, engagement, and the individual products that mattered most.
| Quarter | Launches | Avg Interest Score | Top Product |
|---|---|---|---|
| Q1 2026 | 22 | 150 | AutoSend |
| Q2 2026 | 2 | 121 | Mailero |
| Q1 2025 | 28 | 102 | Simplehuman |
| Q2 2025 | 41 | 147 | Zero |
| Q3 2025 | 37 | 161 | April |
| Q4 2025 | 25 | 156 | Superinbox |
| Q1 2024 | 41 | 139 | waitforit |
| Q2 2024 | 22 | 232 | UnInbox |
| Q3 2024 | 36 | 162 | CuratedLetters |
| Q4 2024 | 16 | 233 | Shootmail |
| Q1 2023 | 43 | 141 | Hypertype |
| Q2 2023 | 51 | 129 | Async |
| Q3 2023 | 52 | 176 | Loops |
| Q4 2023 | 46 | 192 | Cal.ai Email Assistant |
| Q1 2022 | 24 | 186 | Breakcold |
| Q2 2022 | 11 | 175 | Gated |
The Email category has been steady over the past 6 years of tracked data. Total launches went from 82 in 2021 to 24 in 2026.
Average engagement ratio across all Email launches: 0.28. Products above that line tend to solve a specific, painful problem. Products below it often entered a crowded space without clear differentiation.
Email peaked in 2023 with 192 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 held steady around 0.28 across the full dataset. The audience for Email tools is consistent. Engagement doesn't rise or fall with volume, which suggests a stable base of interested users.
The highest-performing quarter was Q4 2024, with an average interest score of 233 across 16 launches. Shootmail led that quarter.
517 B2B launches (83%) vs 99 B2C (17%) across the full Email dataset. Email is heavily B2B. The products here target teams, companies, and professional workflows.
2021: 82 launches. Average interest: 140. Average engagement: 0.23. Top launch: Pigeon for Gmail (425 interest).
2022: 72 launches (-12% vs 2021). Average interest: 174. Average engagement: 0.30. Top launch: Ellie (723 interest).
2023: 192 launches (+167% vs 2022). Average interest: 159. Average engagement: 0.27. Top launch: Loops (1,535 interest).
2024: 115 launches (-40% vs 2023). Average interest: 177. Average engagement: 0.25. Top launch: UnInbox (890 interest).
2025: 131 launches (+14% vs 2024). Average interest: 143. Average engagement: 0.36. Top launch: Zero (857 interest).
2026: 24 launches (-82% vs 2025). Average interest: 148. Average engagement: 0.21. Top launch: AutoSend (371 interest).
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.
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.