A)I updated my vimrc

Hacker News

I have been a devoted vim user for almost 3 decades and frankly it has served me well! Yes I do get tempted to try out the next best thing (though Zed has some serious names so am even more tempted). But frankly something about staying in the terminal that I am just too used to and dont want to change. Though I never bothered updating the vimrc often (did 4 "major" updates in those years) I found myself wanting to update my vimrc for vimspector. This time instead of again trying to understand vimscript and reading the various docs, I let claude code on it and dang it has been a fun journey with a surprising result. It even helped me organize my vim configs. Figured Id share it. Nothing fancy but now atleast I am not afraid of setting up simple vim plugins/macros the way I want without worrying. Let me know what yall think. (Yes at some point i should consider the new toys like Zed but looks like I get to put that off for another couple of years now)!!

Visit product View on Hacker NewsOct 31, 2025

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5points

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Launch Intel predictions

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

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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

49%49% 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: way · Missing: mobile apps, ios, personal

36%36% 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

35%35% 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

16%16% 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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