Using Vim as an input method editor (IME) for X11 apps

Hacker News

As a Vim user, I often use Vim to write some text and then copy & paste it into another text field of GUI apps (e.g. browsers, chat apps, etc.), because almost all of these text fields provide only very basic editing functions. A while ago, I came up with an idea: what if we could use Vim as an IME? Ordinary IMEs are used to input some non-English characters, but the essential functions of IME are 1) receiving a keyboard sequence 2) process the key sequence and outputting a text These functions are the same as text editor's. So I thought implementing an IME that can be used with Vim keybindings could be a good solution for the above problem. After that I learned mechanisms of IME for Linux desktop and tried to develop an experimental IME.

Visit product View on Hacker NewsDec 4, 2022

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

81%81% 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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

48%48% 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

39%39% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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