See” a Terminal File Opener

Hacker News

Hi HN, This is a tool I wrote to associate file extensions with the command to render those files in the terminal. Think of "see" as terminal equivalent of double clicking an file in the desktop. You keep a mapping of extension on to commands. This may feel like a solved problem, but a straw poll on Twitter indicated that there was nothing that worked quite like this. This solution feels like how I would expect things to work. There are comparisons with existing alternatives (that I know of) in the README. I don't know what direction this tool will go. If there is interest, I might develop it a little further (although it feels like something that should have a super-minimal set of features). It was under a day's work, so I wouldn't feel too bad if ends up being a tool that only I use.

Visit product View on Hacker NewsMar 19, 2023

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3points

1comments

Did not reach leaderboard

Launch Intel predictions

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

77%77% 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

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

TrustMRRLess likely to generate early MRR · 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

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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