The data on Nikhil Sharma covers 9 launches across 19 categories. Their strongest category is Artificial Intelligence, where they've consistently shipped products the community noticed.
9 product launches tracked since 2023
The data on Nikhil Sharma covers 9 launches across 19 categories. Their strongest category is Artificial Intelligence, where they've consistently shipped products the community noticed.
All 9 products, sorted by community engagement.
| Year | Products | Avg Interest | Top Launch |
|---|---|---|---|
| 2023 | 4 | 301 | Upscale |
| 2025 | 5 | 466 | Capalyze |
Average engagement ratio of 0.35 across 9 products. That's strong for a multi-product builder. Products with engagement above 0.30 indicate an audience that tested and discussed the product, not just clicked.
Serial builders. Some founders launch multiple products across different categories. Others iterate publicly, launching new versions or pivots as separate products. Both patterns show up in the data.
It means the community paid attention. High total interest across many launches signals consistent relevance. But a founder with 3 launches averaging 0.40 engagement may have built better products than one with 20 launches averaging 0.08.
Sum of each product's engagement ratio divided by number of products. It weights every launch equally regardless of interest score. A founder with consistently high engagement across small launches will rank higher than one with one viral hit and many duds.
Yes. The maker list includes anyone credited on the launch page. Team members, co-founders, and contributors all appear. We don't distinguish between roles.
They either have fewer than 3 tracked products, or their products launched below our engagement threshold. We set the bar at 3 products to ensure founder pages have enough data to be useful.