Claud-ometer – See your Claude Code usage, costs, and sessions locally

Hacker News

Claude Code stores all your session data in ~/.claude/ but there's no built-in way to visualize it. Claud-ometer is a local-first dashboard that reads those files and gives you full visibility into your usage — costs per project, token breakdowns by model, session replays, activity heatmaps, and more. No cloud, no telemetry. It's a Next.js app that runs on localhost and parses the JSONL files directly. https://github.com/deshraj/Claud-ometer Curious if others have been wanting something like this — open to feature ideas.

Visit product View on Hacker NewsFeb 24, 2026

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

97%97% 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.

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

47%47% predicted probability of success on TrustMRR, 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

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 · Strong signals: host · 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 · Missing: arr, mrr, revenue

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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