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Edit the filesystem like a text buffer in VSCode

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Edit the filesystem like a text buffer in VSCode

I wrote a vscode extension which allows you to create/rename/move/delete files by editing a text buffer. If you are familiar with oil.nvim, this is similar. In my opinion this is vastly superior to the built-in file manager because it allows you to utilize your existing text-editing muscle memory into file manipulation skills, as opposed to the built-in file explorer which requires mouse or at least memorizing new keyboard shortcuts. There is a video demo on the github page. Here is the extension page on the visual studio marketplace: https://marketplace.visualstudio.com/items?itemName=AliMosta...

Visit productView on Hacker NewsJan 31, 2025
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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, visual, code · Missing: mac, agents, macos
82%82% 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: exist, existing, filesystem · 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 · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
46%46% 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
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% 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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