
I am speed. A fast.com-style benchmarking tool for LLM APIs | OpenAI, Anthropic,
对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X
完整作品展
技术栈
60 projects

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

监控AI应用中的模型调用、代理步骤和检索,追踪令牌、成本和延迟。
ephraimduncan · HN
Observability for Coding Agents and LLM Applications

A self-hosted dashboard for your internet connection - monitor speed, latency, uptime, and outages on Linux, macOS, Windows, or Docker. One binary, zero telemetry.
cansofgrease · HN
Pingularity – scheduled Ookla/iperf3 speedtest dashboard, outage alerts

Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models

Speech to text dictation and multi-engine speed benchmarking. Compare OpenAI GPT-Transcribe, Deepgram Nova-3, NVIDIA Parakeet, and Fish Audio with local IndexedDB privacy.
@alvaisy · X
finished voice to text small web app for my own itch. it's opensource. use openrotuer key. and use it with 4 models.

在浏览器中用 WebAssembly 模拟和可视化 BBRv3 拥塞控制算法。
dilyevsky · HN
BBRv3 for gVisor's netstack, visualized in the browser using WASM

Calla AI语音前台,接听漏接电话,预订工作,追踪收入。
@Jithendhar40266 · X
Ai voice agents that books calls

Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X

用自动可读性评分检查 AI 代理对您网站的理解程度。
tommy2970 · HN
Lagotto Meter – how well do AI agents understand your website?

监控AI代理的LLM调用、API和基础设施性能。
kirankgollu · HN
Oodle.ai – $10 per million agent traces

提交 LLM 推理优化内核,在专用硬件上进行基准测试并竞争排名。
carsenk · HN
Frontier.fast – Help push the frontier of LLM speed forward