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
Run LLM inference on consumer GPUs with NVIDIA TensorRT-LLM optimization.
brianhabana123 · HN
TensorRT-LLM running natively on Windows (no WSL)
OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
Fine-tune LLMs with your data and manage custom facts with cryptographic deletion proofs.
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at
Analyzes news articles to verify whether conclusions are supported by evidence.
@BiaoBuilds · X
我做了一个帮助读者拆解新闻论证结构的工具：LedeLens。 它不做事实核查，也不判断政治倾向，只回答一个更小的问题：文章的结论，能否由它自己提供的证据支持？ 在线体验： 感兴趣可以看看~
See the concepts a language model holds at each layer before it answers.
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers
Detect if your LLM API has been model-swapped or degraded with 6 deterministic probes.
cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测：填入任意 OpenAI 兼容端点的 base_url 和临时 API Key，跑 6 项探针（模型声明、动态题、能力完整性等）生成分项报告；Key 仅用于当次检测、不落库不留存，检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)
Track AI and LLM news and model launches from 100+ sources.
jonam21 · HN
KBlip – turns AI/LLM news across 100 sources into daily digest threads
Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities
Real-time LLM-powered news aggregator surfacing trending stories with live updates.
tdubey · HN
DWS A LLM Generated, "Drudge Report" style news site
Compress prompts and reduce LLM token costs by detecting duplicate tool calls.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache
Monitor AI model calls, agent steps, and retrieval with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications