Grafana TUI – Browse Grafana dashboards in the terminal

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I built a terminal UI for browsing Grafana dashboards. It connects to any Grafana instance and lets you explore dashboards without leaving the terminal. It renders the most common panel types (time series, bar charts, gauges, heatmaps etc.). You can change the time range, set dashboard variables and filter series. I built this because I spend most of my day in the terminal and wanted a quick way to glance at dashboards without switching to the browser. It's not perfect by any means, but it's a nifty and useful tool. Built with Go, Bubble Tea, ntcharts, and Claude (of course). You can install it via Homebrew: brew install lovromazgon/tap/grafana-tui ... and try it out against Grafana's public playground: grafana-tui --url https://play.grafana.org

Visit product View on Hacker NewsMar 27, 2026

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

71%71% 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.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% 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

20%20% 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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