# 🧠 Feed It Your Old WhatsApp Chats — It Texts Back Like That Person (Free, Feedback Wanted)

**URL:** <https://onehack.st/t/feed-it-your-old-whatsapp-chats-it-texts-back-like-that-person-free-feedback-wanted/325094>\
**Category:** Tools & Scripts\
**Tags:** tools, ai\
**Created:** [August 27, 2026, 11:32pm UTC](https://onehack.st/t/feed-it-your-old-whatsapp-chats-it-texts-back-like-that-person-free-feedback-wanted/325094 "2026-08-27T23:32:42Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![SHIVA1](https://onehack.st/user_avatar/onehack.st/shiva1/32/116623_2.png) [@SHIVA1](https://onehack.st/u/SHIVA1)\
**Post date:** [August 27, 2026, 11:32pm UTC](https://onehack.st/t/feed-it-your-old-whatsapp-chats-it-texts-back-like-that-person-free-feedback-wanted/325094/1 "2026-08-27T23:32:43Z")

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Export a WhatsApp chat and this reconstructs how that _specific person_ actually texts — the slang, the Hinglish, the one-word replies, the “kal dekhte hain” energy — not a generic chatbot doing an impression of them.

**Try it tonight, free:**

1. Export the chat — WhatsApp → chat → Export Chat → _Without Media_. You get a `.zip` (works from iPhone or Android). ✅ proof: unzip it, there’s a `.txt` inside.
2. Upload the zip at [onlinekotha.com](https://www.onlinekotha.com).
3. Send it a message. ✅ proof: the reply either sounds like _them_, or it sounds like generic ChatGPT — that’s the actual test.

There’s also a plain chat viewer and an “On This Day” tab that resurfaces old messages from the same date, past years.

> **Free tier, pricing, and who's actually building this**
>
> Free = import chats + a handful of AI replies per day, no card needed.  
> Paid = $6/month for more AI replies — the founder’s word is he’s not pushing that first, he wants to know if the reply _feels_ like the person before anyone pays for it.
> 
> Built solo, shipped at night, based in India — first time putting it in front of strangers instead of just friends. He’s specifically fine with “this is a bad idea” as feedback.
> 
> People testing it so far have used it for: an old friend, a long-distance partner, a parent, digging through their own message history, or just “what would they say” — and some said never, too private, which is a fair answer too.

If you try it, the one thing worth reporting back: did the first reply sound like _them_?