Facad – A colorful directory listing tool for the command line

Hacker News

Facad is about functionality, not just aesthetics. Key features: - Intuitive file type representation - Smart sorting (directories first, then by extension) - Four-column layout for quick directory analysis It evolved from this alias: alias ls='ls -A -F --group-directories-first --sort=extension --color=always' Facad takes this concept further, offering more flexibility and visual clarity.

Visit product View on Hacker NewsSep 30, 2024

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Actual performance

147points

94comments

Made the leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: intuitive · Missing: plus, platform, reviews

50%50% predicted probability of success on AppSumo, 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: io · 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.

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

31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos

21%21% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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