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Addfs - A richer file explorer for the web

Hacker News

Addfs - A richer file explorer for the web

Couple of weeks ago, samikc posted about addfs ("Add File System") and how it enables users to access online cloud storage such as Box, dropbox and Google Drive through a single interface. Very similar to the mount command in Unix which enables users to mount any device and access it using a single interface i.e. Unix File System. Now, addfs supports Microsoft Skydrive too. In addition to basic file management operations, addfs provides a neat file copy functionality from one cloud to another. I invite you to check it out and let us know your comments. URL: <a href="http://www.addfs.com">http://www.addfs.com</a>

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Actual performance

2points
2comments
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
76%76% predicted probability of success on Indie Hackers, 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: ide, 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, single · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface, users · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, users · Missing: mobile apps, ios, personal
42%42% 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
13%13% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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