Use Replit Agent to build WhatsApp chat analysis

Dominik Gmeiner built a browser tool for exploring exported WhatsApp conversations. He discussed the idea with ChatGPT and learned about sentiment-analysis libraries, then used Replit to implement an upload interface and analysis. The personal experiment was shared with friends for feedback.

He extended the initial version with emoji summaries, mood journey maps and support for group messages. Replit Agent created a landing page after he described how to present the tool. Gmeiner adjusted the interface, sent screenshots to people he knew and shared the URL with four testers. Feedback led to further changes and a Stripe integration.

The account records repaired and unfinished work. Some file sizes failed initially and needed tweaking. Adding group texts meant checking that earlier features still worked in the interface. Story mode remained incomplete when the post appeared. Gmeiner says the tool used no database or saved chat data. The result was a built application receiving user feedback, rather than a claim that all planned functionality had already shipped.

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Source: www.write.dominikgmeiner.com · Dominik Gmeiner