Developer Tools1 month ago
WatchMachineGo
Visualize hardware performance metrics while running LLM inference on your system.
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
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Visualize hardware performance metrics while running LLM inference on your system.
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
Dashboard for viewing live trading positions, history, and performance metrics.
@Tradevoai · X
🚀 New: track trades without connecting an exchange. Manual Accounts + Journaling just shipped — log open/closed trades with SL/TP, notes & tags. Full edit/delete/reopen control. Try it → #trading #buildinpublic
Audited performance metrics for Indian F&O trading influencers verified against official NSE Bhavcopy EOD data. Zero fake data, deterministic verification.
@guptankit27 · X
👋 Building > GuruStats is an automated audit engine that exposes fake trading gurus by pulling direct exchange feeds to deterministically verify their real signals and win rates.
View ML predictions and performance metrics for Kalshi and Polymarket prediction markets.
@precisionalgo · X
Executive overview dashboard for CDC Nigeria's HIV program showing KPIs, treatment cascade, and performance metrics.
@Spernixx · X
Check out what I just built with Lovable!
GitHub PR analytics for engineering teams. Measure pull request performance metrics, review latency, throughput, and reviewer load from GitHub PR metadata. Read-only GitHub App.
@ashajjar85 · X
Track real-time profit and business performance metrics.
@uchechukwuevan · X
View your performance points, estimated rating, and growth gaps at a glance.
@DiyaVijay6 · X
Check out what I just built with Lovable!
Compare latency and throughput performance across LLM API providers.
@QAInsights · X
Answer 13 questions to score your performance system across 8 pillars in 3 minutes.
@JoshDeLucia · X
Monitor critical business metrics in real time for your professional service firm.
@Spotchdashboard · X
Benchmark local coding models on consumer hardware to measure accuracy, latency, and throughput across 27 tasks.
u/Unfair_Association89 · Reddit
I built a reproducible benchmark for local coding models (Ollama, 27 tasks, live leaderboard) ran it on my 8GB card, here's what I found I kept eyeballing "vibes" to decide whether one quant of a coding model was actually better than another on my machine, so I built Sakura to get real numbers instead. What it does: - Points at any Ollama model and runs it through 27 hand-curated tasks: codegen, bugfix, SQL, refactor, systems design, protocol implementation, and terminal-agent episode