Oscura Vim – A Refined Vim Colorscheme for Long Coding Sessions

Hacker News

Hey HN! I’ve been working on Oscura, a Vim/Neovim colorscheme focused on clarity, contrast, and a cohesive coding experience. It’s designed to feel native rather than just another port. What’s New? • New Variant – Oscura Dusk : A refined, high-contrast take on the theme. • Improved TypeScript Support : More accurate syntax highlighting. • General Enhancements : Keeping it in sync with the VS Code version while staying true to Vim. If you’re a Vim/Neovim user looking for a well-balanced and evolving colorscheme, give Oscura a try! Would love to hear your feedback.

Visit product View on Hacker NewsMar 27, 2025

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

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

60%60% 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: io · Missing: https docs, excited, just released

43%43% 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

37%37% 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

27%27% 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

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.

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