154 Spreadsheets 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 Spreadsheets launch data. Volume, engagement, and the products that stood out.
154 Spreadsheets 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 | 6 | 128 | LocateStore |
| Q2 2026 | 1 | 83 | Tictable |
| Q1 2025 | 9 | 170 | Guse |
| Q2 2025 | 8 | 113 | SpreadSimple 2.0 |
| Q3 2025 | 14 | 176 | Capalyze |
| Q4 2025 | 4 | 181 | Sheets Organizer |
| Q1 2024 | 9 | 174 | LeadGenSheet.com |
| Q2 2024 | 8 | 230 | Retable |
| Q3 2024 | 9 | 251 | panda{·}etl |
| Q4 2024 | 4 | 191 | Bricks |
| Q1 2023 | 10 | 100 | AI for Sheets by Cargo |
| Q2 2023 | 8 | 141 | AI-Powered VC Sheet |
| Q3 2023 | 13 | 138 | Decipad Public Beta |
| Q4 2023 | 9 | 136 | CapGo.AI |
| Q1 2022 | 11 | 204 | NotionForms |
| Q2 2022 | 5 | 197 | Better Sheets |
The Spreadsheets category has been steady over the past 6 years of tracked data. Total launches went from 23 in 2021 to 7 in 2026.
Average engagement ratio across all Spreadsheets launches: 0.26. Products above that line tend to solve a specific, painful problem. Products below it often entered a crowded space without clear differentiation.
Spreadsheets peaked in 2023 with 40 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 0.20 in 2021 to 0.35 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 Q3 2024, with an average interest score of 251 across 9 launches. panda{·}etl led that quarter.
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.