Productivity2 weeks ago
Treequence AI
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
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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
Find AI models optimized for your hardware with performance and pricing estimates.
cdnsteve · HN
Tokenstead, find AI models for your hardware
Add AI interpretation buttons to financial news articles on Chinese financial platforms.
EliteOtaku · V2EX
搞了个解读财经数据的油猴脚本，适配金十，财联社，汇通，华尔街见闻 比较简单，但挺好用的，在快讯旁边加了一个 AI 按钮，点击后由 AI 解读该新闻/数据的影响，需自己准备 API key，支持 DeepSeek 和 OpenAI、Anthropic 格式 https://greasyfork.org/zh-CN/scripts/590009-%E9%87%91%E5%8D%81%E6%95%B0%E6%8D%AE%E5%87%80%E5%8C%96-ai-%E8%A7%A3%E8%AF%BB-deepseek
Compare LLM models and prices, access 31-80 multimodal tools via MCP for Claude, Cursor, and other AI development platforms.
tokenlabai · HN
TokenLab MCP, model discovery, pricing, and native AI endpoint tools
View and compare public opinions and benchmark ratings for leading AI models.
u/TasteMysterious5285 · Reddit
I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi
Mask sensitive data before sending to any LLM, then restore it in the reply.
@velumprivacy · X
Check which LLMs run on your GPU given your hardware specs and budget.
jaeseok614 · HN
Open-source calculator for "will my GPU run this LLM?"
Manage and run LLM models in your browser via WebAssembly.
userfrom1995 · HN
Goku – WASM (wllama)-powered LLM inference and model manager
Compress prompts before LLM API calls to reduce token usage and costs.
@asgujjuasitgets · X
Access multiple AI language models through a unified API interface.
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil
Verify AI responses in real-time by auditing with multiple models for reliability.
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon
Route your LLM API requests across multiple providers to cut costs and meet latency targets.
Aperswal · HN
Made a Free LLM Router