ChatGPT2Notion – Save ChatGPT Conversations to Notion

Hacker News

Hey folks, First time posting here - wanted to share a tool I built out of the annoyance of losing a bunch of ChatGPT chats because I had the history turned off. It's a Chrome extension designed for those who frequently use ChatGPT and want a seamless way to save their chats directly into Notion. Key Features: One-Click Save: With just one click, your ChatGPT conversations are saved into Notion. No need to manually copy-paste. Privacy-Focused: Your chats are saved without needing to let OpenAI or anyone else train on your data. Completely Free: The tool is free to setup and use for everyone. Currently, ChatGPT2Notion is in a 'low code' stage, meaning it requires a bit of setup. I've written up a doc for the process and if folks are keen, I'll turn this into a one-click install Chrome extension. Would appreciate any questions, suggestions, or feedback you can provide. Link to the tutorial: https://hitarth.notion.site/Saving-ChatGPT-chats-to-Notion-with-1-click-d00679b164b1471fb3acd9a2185db619 Thanks!

Visit product View on Hacker NewsDec 21, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt, openai, code · Missing: mac, agents, macos

88%88% 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

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

29%29% 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

13%13% 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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