Export Claude Chats to Markdown, JSON, PNG

Hacker News

Here's a simple browser script to export Anthropic Claude [1] chats to markdown, JSON, and images (.png). I wrote this script because Claude does not currently support sharing or exporting. It utilizes html2canvas for downloading images of the chat, and a simple DOM parser for exporting as markdown and JSON. It runs entirely locally in your browser console, so you can just copy and paste the code to download the active chat in your browser. Of course, feel free to explore and verify the repo, or clone and build the code yourself, because pasting random code into your browser console is never a smart idea. Hope this small script is helpful to others. [1] claude.ai

Visit product View on Hacker NewsMar 19, 2024

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

55%55% 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.

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

35%35% 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

34%34% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

25%25% 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, smart · Missing: web3, crypto, cryptocurrency

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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