Searchable ChatGPT – search your GPT conversation history

Hacker News

Hey HN, If you're like me you probably have hundreds of ChatGPT chats for each idea or project you have. And each one keeps it's unique context and details that are lost in the long list of chats in the sidebar. Since there is no way to search old chats in ChatGPT Web UI, I built this feature myself as a browser extension. In February, I released it and tried to apply freemium model and see how it works. I was ecstatic when I had a first sale in less than a week! That was first time anyone bought my product ever. Since then I got into top3 in Chrome Web Store for "search chatgpt history" and "chatgpt conversation history" and am getting a couple of sales daily, totaling about $500-$600 per month. The free version creates index of all chats but it's limitation is that it returns only top 3 search results per search. I thinks it's important that free version actually covers 95%+ of use cases, not forcing users to pay unless they really need to. F.ex one competitor's free version only allows searching most recent 20 chats that makes it literally useless. Firefox version is also available.

Visit product View on Hacker NewsMay 24, 2024

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, context · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, users, way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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