Surpassing VSCode, Atom and Sublimes Command Palettes

Hacker News

I believe that command palettes are one of the greatest inventions for improving productivity of a complex application. I wanted to see if the concept could be taken much further. Specifically to the point that I could be more efficient than using hotkeys. I feel that I have achieved that goal for myself. However, I am very curious to get broader input on the concepts on which I have been working. I have a concrete implementation I have built for Eclipse here with some animated gifs: https://github.com/dakaraphi/eclipse-plugin-commander/blob/m... The conceptual idea is roughly described here: https://github.com/dakaraphi/kavi If others like these concepts, I could look into providing implementations for other editors.

Visit product View on Hacker NewsOct 28, 2017

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Actual performance

5points

Did not reach leaderboard

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Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

50%50% 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

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: efficient · Missing: plus, platform, intuitive

44%44% 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.

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

40%40% 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

12%12% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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