GPTMarker – Save and share your ChatGPT conversations

Hacker News

Problem: As users engage in conversations with ChatGPT, they often want to save or share their conversations with ChatGPT. However, currently there is no easy way to do this, making it difficult for users to create screenshots and share their conversations. Solution: GPTMarker is a new tool that allows users to easily save and share their ChatGPT conversations. With GPTMarker, users can simply click a button to save their conversation, and then share it with others via a unique URL. This makes it easy for users to revisit their conversations and share them with others, enhancing their overall ChatGPT experience.

Visit product View on Hacker NewsDec 8, 2022

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Actual performance

5points

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Launch Intel predictions

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

68%68% 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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% 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

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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