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WatchMachineGo
实时可视化硬件在运行LLM推理时的性能指标
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
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实时可视化硬件在运行LLM推理时的性能指标
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
查看实时交易头寸、历史和性能指标的仪表板。
@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.
查看Kalshi和Polymarket预测市场的ML预测和性能指标。
@precisionalgo · X
CDC Nigeria HIV 项目执行仪表盘，展示 KPI、治疗级联和性能指标
@Spernixx · X
Check out what I just built with Lovable!
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@ashajjar85 · X
在统一仪表板上查看性能积分、预估评分和增长差距。
@DiyaVijay6 · X
Check out what I just built with Lovable!
对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X
用Sakura基准测试本地编码模型，测量准确性、延迟和吞吐量。
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
