Tweakcc – Customize Claude Code's CLI (themes, verbs, spinner)

Hacker News

I built a tool to make Claude Code’s terminal more fun and interesting. With tweakcc you can: -Build your own themes (RGB/HSL color picker included) -Change Claude’s “thinking verbs” -Swap out the spinner animation and banner text -Restore token counter and elapsed time -Keep changes persistent across updates -Supports Claude Code installed on Windows, macOS, and Linux, using npm, yarn, pnpm, bun, Homebrew, nvm, fnm, n, volta, nvs, and nodenv, or a custom location -Restore defaults anytime Quick start: npx tweakcc Repo: https://github.com/Piebald-AI/tweakcc Feedback and PRs welcome!

Visit product View on Hacker NewsAug 26, 2025

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

82%82% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

31%31% 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

31%31% 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

21%21% predicted probability of success on Acquire.com, 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

21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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