Mo

Monitrix –Lightweight, real-time server monitor using FastAPI

Hacker News

Monitrix –Lightweight, real-time server monitor using FastAPI

Hi HN, I recently built a small project called Monitrix – it's a self-hosted, real-time server monitoring dashboard using Python, FastAPI, WebSockets, and Chart.js. I created it because I wanted a lightweight alternative to Prometheus/Grafana for home or small server setups. It runs a local agent to collect CPU, memory, and disk stats, and pushes them live to the dashboard without a database. It's fully open source, and includes a dark/light UI toggle, animated charts, and a clean layout. GitHub: https://github.com/silverstar33/monitrix Would love to hear feedback or suggestions!

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1points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, using, open · Missing: mac, agents, macos
75%75% 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: created · Missing: supports, reddit linkedin, podcasting
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
35%35% 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
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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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