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Tech stack
60 projects
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
Collaborate on AI projects using a spatial node canvas to organize LLM context.
jebuehler55 · HN
I built a spatial node canvas to fix LLM context drift
Visualize hardware performance metrics while running LLM inference on your system.
dev_dan_2 · HN
WatchMachineGo – A visualizer to show hardware performing LLM inference
An LLM agent that tracks goals and plans across sessions while showing exactly what it retrieves, verifies, and fails on.
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis
OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
Re-explain any learning material in your own words with adaptive questions that reveal what you actually understand.
@indrajit_tweets · X
Most AI learning tools explain concepts for you through summaries, notes, quizzes, and flashcards. But recognising an answer is not the same as understanding it. That’s why I built ReExplain ( for the @OpenAI Build Week Hackathon. ReExplain flips the roles - the AI becomes the curious learner, and you become the teacher. You explain the material in your own words, while the AI listens, identifies gaps, and asks follow-up questions that challenge you to think deeper. Powered by GPT-5.6 Luna and built with Codex, ReExplain is now live on Product Hunt! If the idea resonates with you, I’d really appreciate your upvote and support 😄 🔗 Product Hunt Launch Link: Watch the demo, try it, and share your feedback! #ProductHunt #OpenAI #BuildWeek #AI #EdTech #Hackathon
API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
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
Compare and use multiple LLM models (Claude, OpenAI, Gemini, etc.) in a secure shared team workspace with your own API keys.
@uncoolavatar · X
Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities
Analyze data and generate insights using natural language queries.
symuz · HN
LLM-enabled large data analysis
Generate animated visual explanations for any topic you want to learn.
u/Top-Relationship8196 · Reddit
AI teacher that explains anything visually. Hi, I built this free tool called bestie. It's basically an AI teacher that explains anythingany topic visually. Instead of watching a 3hr Youtube to learn something specific or struggle through the text Chatgpt gives you, you can use this for free to learn anything fast. you can find it at bestie.chrestic.com you just have to type the topic and your visuals will arrive in less than a minute. Don't forget to try and leave Y
