5 Products
804 Total Interest
0.51 Avg Engagement
Tech Top Category
View on Product Hunt

5 launches since 2021. Venkatesa Madhan operates in Tech and 17 other categories. The data below is sorted by community engagement.

Launch Portfolio

All 5 products, sorted by community engagement.

One unified API for all AI models like Gemini, GPT-4, DALL-E
311
API Developer Tools Artificial Intelligence
Dec 2023 83 discussions 0.27 engagement
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Automated e-commerce image editing, no skills required
145
Design Tools Marketing E-Commerce
Aug 2021 53 discussions 0.37 engagement
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Develop useful habits in your kid together
129
Android iOS Productivity
Aug 2021 173 discussions 1.34 engagement
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An RSS reader that is markable.
122
Productivity News Writing
Aug 2021 32 discussions 0.26 engagement
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Track your sun-intake
97
iOS Health & Fitness Tech
Aug 2021 32 discussions 0.33 engagement
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Launch Timeline

YearProductsAvg InterestTop Launch
2021 4 123 ModifAI
2023 1 311 Merlin Unified API

Categories

Tech (3) iOS (2) Productivity (2) API (1) Developer Tools (1) Artificial Intelligence (1) Design Tools (1) Marketing (1) E-Commerce (1) Android (1)

What the Numbers Say

5 launches, 0.51 average engagement, 804 cumulative interest. Venkatesa Madhan's portfolio shows a builder who maintains audience attention across multiple products.

Frequently Asked Questions

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.

Founder pages are rebuilt with every index update. A founder's stats change when we add new products to the index.

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.

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