Five years of Data Science launch data. Volume, engagement, and the products that stood out.
We've been tracking Data Science since 2021. 102 products indexed. The trajectory tells you where builders are investing and where the market sees opportunity.
Below: launch volume by year, engagement patterns by quarter, and the products that defined each period.
| Quarter | Launches | Avg Interest Score | Top Product |
|---|---|---|---|
| Q1 2026 | 3 | 135 | Ocean Orchestrator |
| Q1 2025 | 7 | 93 | Streamoku |
| Q2 2025 | 2 | 136 | Picsellia Atlas |
| Q3 2025 | 3 | 118 | Minicule |
| Q4 2025 | 3 | 76 | Baselight AI |
| Q1 2024 | 5 | 179 | DataMotto |
| Q2 2024 | 5 | 330 | Forloop.ai |
| Q3 2024 | 5 | 163 | Future AGI |
| Q4 2024 | 5 | 137 | marimo |
| Q1 2023 | 9 | 118 | Hyperquery |
| Q2 2023 | 13 | 127 | Prelaunch.com |
| Q3 2023 | 16 | 119 | AI & Analytics Engine |
| Q4 2023 | 10 | 113 | DVC Extension for VS Code |
| Q1 2022 | 2 | 91 | TweetFeast |
| Q2 2022 | 5 | 101 | NannyML |
| Q3 2022 | 1 | 182 | Obviously AI Data Validator |
The Data Science category has been cooling over the past 6 years of tracked data. Total launches went from 1 in 2021 to 3 in 2026.
Average engagement ratio across all Data Science launches sits at 0.22. Products above that threshold tend to serve a real, specific need. Products below it often entered a crowded market without sufficient differentiation.
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.