Export ChatGPT conversations as GitHub gists

Hacker News

Made a bookmarklet for sharing ChatGPT logs as gists. It has markdown support so it can render tables, code blocks, and all the usual formatting (except maybe footnotes). Example: https://gist.github.com/tkanarsky/8858d339f02567d5cd25fcf9c4... It was pretty tricky finding the right selectors to use as the UI is just full of React div-soup with zero semantic meaning. I eventually settled on some CSS classes that work well for now, but that might change at any time in the future. No guarantee of stability :) One thing it's missing right now is code highlighting -- I haven't had the time to translate the language names from hljs -> markdown.

Visit product View on Hacker NewsDec 6, 2022

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Launch Intel predictions

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

57%57% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% 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

41%41% 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 · Missing: mobile apps, ios, personal

23%23% 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

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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