Astro dev blog template with interactive colorschemes

Hacker News

I've created and open-sourced an Astro developer blog template with an interactive theme changer that includes all 60 themes bundled with the JS code highlighter Shiki. Changing the theme affects the whole website including the code examples and Giscus comments. Inspired by the aesthetics of raw markdown, I wanted to create a beautiful blog like https://github.com/panr/hugo-theme-terminal but supercharged with a modern redesign and the incredible features of Astro. Features: - Simple configuration file - Multiple theme modes (single, light/dark/auto, select) - Giscus comments - RSS feed - SEO best practices + social card generation - Markdown extensions (TOC, admonitions, reading time, etc)

Visit product View on Hacker NewsJul 31, 2025

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Actual performance

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

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

38%38% 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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

14%14% 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.

Correct prediction on native model

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