519 Mac 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 Mac launch data. Volume, engagement, and the products that stood out.
519 Mac 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 | 52 | 124 | DynamicLake |
| Q2 2026 | 6 | 118 | Zzzappy |
| Q1 2025 | 22 | 172 | Googly Eyes |
| Q2 2025 | 31 | 153 | Chunk |
| Q3 2025 | 34 | 147 | Pola Browser |
| Q4 2025 | 37 | 146 | DiffSense |
| Q1 2024 | 16 | 135 | Thinkbuddy AI |
| Q2 2024 | 17 | 256 | Boom |
| Q3 2024 | 23 | 164 | Tripsy 3 |
| Q4 2024 | 20 | 259 | Raycast Notes |
| Q1 2023 | 17 | 167 | Rive for macOS |
| Q2 2023 | 18 | 194 | Typefully 2.0 |
| Q3 2023 | 25 | 147 | Baron AI |
| Q4 2023 | 16 | 130 | FocusFusion |
| Q1 2022 | 20 | 250 | Fig |
| Q2 2022 | 15 | 174 | Warp |
The Mac category has been steady over the past 6 years of tracked data. Total launches went from 110 in 2021 to 58 in 2026.
Average engagement ratio across all Mac launches: 0.15. Products above that line tend to solve a specific, painful problem. Products below it often entered a crowded space without clear differentiation.
Mac peaked in 2025 with 124 launches. That was 1 year ago. The decline since then could signal market consolidation, saturation, or attention shifting to adjacent categories.
Average engagement per product has risen from 0.13 in 2021 to 0.16 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 Q4 2024, with an average interest score of 259 across 20 launches. Raycast Notes led that quarter.
391 B2B launches (75%) vs 128 B2C (25%) across the full Mac dataset. Mac leans B2B, but a meaningful share of products target individual users.
2021: 110 launches. Average interest: 139. Average engagement: 0.13. Top launch: Detail (667 interest).
2022: 75 launches (-32% vs 2021). Average interest: 221. Average engagement: 0.20. Top launch: Rewind (1,365 interest).
2023: 76 launches (+1% vs 2022). Average interest: 159. Average engagement: 0.16. Top launch: Typefully 2.0 (909 interest).
2024: 76 launches (0% vs 2023). Average interest: 204. Average engagement: 0.14. Top launch: Raycast Notes (1,077 interest).
2025: 124 launches (+63% vs 2024). Average interest: 152. Average engagement: 0.12. Top launch: DiffSense (417 interest).
2026: 58 launches (-53% vs 2025). Average interest: 124. Average engagement: 0.16. Top launch: DynamicLake (388 interest).
Launch volume dropped 53% year-over-year, but average engagement per product rose by 32%. Fewer builders are entering Mac, but the ones that do are finding a more receptive audience. That's a textbook market gap signal.
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.
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.