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I made Convelyze – Visualize your ChatGPT usage with detailed analytics

Hacker News

I made Convelyze – Visualize your ChatGPT usage with detailed analytics

Hey HN! I built Convelyze, a web app that helps you analyze and visualize your ChatGPT usage. You can export your ChatGPT conversations and upload them to get detailed stats like: -Total conversations and messages -Model used -Shift wise messages count -Most chatty day -Role-based and shift-wise message counts -Github style activity calendar and many more!! It’s privacy-focused, with all data processed client-side, and it’s also open source! If you have any feedback or suggestions for new features, I'd love to hear them. Check it out demo here: https://convelyze.pages.dev/demo GitHub: https://github.com/meetpateltech/convelyze Thanks!

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, new, visual · Missing: mac, agents, macos
89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: visualize · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released
27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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