
Tokenstead - Find AI Models for Your Hardware
根据硬件规格发现本地可运行的AI模型,包括性能和价格估算。
cdnsteve · HN
Tokenstead, find AI models for your hardware
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根据硬件规格发现本地可运行的AI模型,包括性能和价格估算。
cdnsteve · HN
Tokenstead, find AI models for your hardware

在GitHub pull requests上自动生成代码文档。
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests

AI生成定制商业创意,提供成功评分和投资者级别融资材料。
@pitchspark_ai · X

单一工作区,集 AI chat、resume builder、job matcher 和 website creation 工具于一体。
@multiai23 · X
🚀 MultiAI is LIVE! Start your FREE 7-day trial today! One platform. Multiple AI models. 📷 Access powerful AI tools from a single workspace. 📷 Code faster. 📷 Write better. #Claude #Gemini #live

在多个运行时中设计、验证和比较AI代理部署,具有内置治理功能。
@paulrodturner · X


ForgeLab Brain:多个AI智能体协作编程,自动验证和修复错误
@ForgeLab_Brain · X
Open beta launched. See more here: 🌐 #VibeCoding #BuildInPublic #IndieHacker #AIdev

用一行代码部署强大的 AI 模型,享受业界最具竞争力的 GPU 价格。
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替),Synexa 是运行无服务器 AI API 最具性价比的解决方案,提供业界最具竞争力的 A100 GPU 价格,相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

生成并比较7个AI模型的优惠、邮件和广告文案。
@MarkZofMarkZ · X
Let's connect! Profit Router 📈

让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.

可嵌入的可视化工作流编辑器,支持AI驱动或纯逻辑设计。
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

Linguo AI 网站管理和优化助手仪表板。
@SyedHuz61085101 · X
Please visit to see my work. Thank you.