6 Products
2,043 Total Interest
0.16 Avg Engagement
Artificial Intelligence Top Category
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6 launches. 2,043 total interest points. @john_tans has been one of the most active builders in our index, with products spanning 10 categories.

Launch Portfolio

All 6 products, sorted by community engagement.

AI social media deep research 24/7
781
Analytics Growth Hacking Artificial Intelligence
Mar 2025 131 discussions 0.17 engagement
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The easiest way to automate work with AI
417
Spreadsheets SaaS Artificial Intelligence
Mar 2025 55 discussions 0.13 engagement
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AI code agent that actually understands your codebase
308
Software Engineering Developer Tools Artificial Intelligence
Feb 2025 56 discussions 0.18 engagement
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Smarter breaks. Sharper mind. Escape the doomscroll.
259
Productivity Artificial Intelligence Health
Apr 2025 27 discussions 0.10 engagement
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One task today > ten half-done
251
Productivity Task Management
Mar 2025 29 discussions 0.12 engagement
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AI coding agent for end-to-end code delivery
27
Software Engineering Developer Tools Artificial Intelligence
Mar 2025 7 discussions 0.26 engagement
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Launch Timeline

YearProductsAvg InterestTop Launch
2025 6 340 Currents AI

Categories

Artificial Intelligence (5) Software Engineering (2) Developer Tools (2) Productivity (2) Analytics (1) Growth Hacking (1) Spreadsheets (1) SaaS (1) Health (1) Task Management (1)

By the Numbers

Total launches: 6. Total interest: 2,043. Best single launch: 781. Average engagement: 0.16. Active categories: 10. First tracked launch: 2025.

Frequently Asked Questions

Yes. If the same person is listed as a maker on products from different companies, all of those products appear on their founder page. That's one of the advantages of tracking by person rather than by company.

We track the makers listed on each product's launch page. A founder appears here if they're credited on 3 or more products in our index.

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.

Track serial launchers

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