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Easy Folders – A folders based organization tool for ChatGPT and Claude

Hacker News

Easy Folders – A folders based organization tool for ChatGPT and Claude

Download for free: https://chromewebstore.google.com/detail/easy-folders-chatgpt-clau/gdocioajfidpnaejbgmbnkflgmppibfe?utm_source=hackernews A simple and powerful tool to organize chats in ChatGPT and Claude. ** NEW! Claude support added - Create folders and organize your chats for Claude ** ** NEW! Multi-account support added - Create folders and organize your chats for multiple ChatGPT & Claude accounts, and switch between them seamlessly. ** - Privacy focused, your data is all stored on your local machine - Create folders & sub-folders for your chats - Easy-to-use drag & drop - Colored folders - Automatic folders for Custom GPTs - Sync folders across multiple devices - Full chat history search - Bookmark important chats - Bulk delete chats - Backup & Import data - Dark & light mode support

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Actual performance

6points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, claude, google · Missing: agents, macos, agent
72%72% 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
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
56%56% 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
46%46% 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
22%22% 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
20%20% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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