
SeeCost
All your LLM costs:OpenAI, Anthropic, Gemini — on one screen
What it does
Hi Product Hunt! SeeCost tracks OpenAI, Anthropic, and Gemini costs with zero API key setup. Just install our OSS SDK and run one init command to capture your spend automatically. OSS Tracker: https://github.com/ronpaou/seecost-tracker ``` npm install @seecost/tracker npx @seecost/tracker init nextjs ``` We never store keys or prompt content—only usage metadata. Sign up free with GitHub.
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- TOTraceAIO – open-source LLM visibility trackerJun 2026 · traceaio.org · ▲6
I built TraceAIO, an open-source tool that prompts LLMs on your behalf and tells you whether ChatGPT, Perplexity, and Gemini mention your brand — and which competitors and sources show up instead. Yeah, this category smells a bit like a grift, same as early SEO. And I think over time it will become just SEO again, and become about good content. The tool just helps you monitor over time. It queries the browser products through real browser sessions, not APIs, runs on Docker, with an MCP server so you can query your own data through an LLM. No business model, Apache 2.0, self hosted. If you…
- IBI built a tool to find the best and cheapest LLM models for my projects2024 · viewpointhq.com · ▲5
Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…
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- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com