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)
Submit kernel patches and engine optimizations for LLM inference speed, benchmarked on dedicated hardware.
carsenk · HN
Frontier.fast – Help push the frontier of LLM speed forward
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
Track AI models used in your apps and receive warnings before they're deprecated.
taylorgt · HN
Find every AI model your code calls and warn before it's retired
Analytics dashboard for LLM API spending by model and environment with optimization suggestions.
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
Grades AI agents' real conversations with an LLM judge, providing A–F scorecards and FinOps analysis.
@tech_maju · X
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~
Visual editor for configuring multi-agent LLM systems with local inference.
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets
View LLM model rankings across 10 benchmark questions.
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol
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