AiFormat – Convert files/folders to a Claude optimized prompt

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Hey all! Ever since Claude 3 released, I've been using Opus to code really fast. Copying and pasting multiple files into the context window was the only bottleneck, so I built a handy tool that automatically converts files/folders into a format optimized for Claude, then copies them to your clipboard. The project is fully open-source under the MIT license, contributors are more than welcome! Here's the link to the Github repo with instructions on how to get started (it's really easy): https://github.com/farouqaldori/aiformat/ Let me know what you think!

Visit product View on Hacker NewsMar 12, 2024

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

83%83% 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 NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

51%51% 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

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

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

40%40% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

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

Incorrect prediction on native model

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