ScanRead.ai — OCR 文字提取工具，支持 100+ 语言，可从图片、PDF、截图和手写文档中提取文字

Detector de IA — 西班牙语优先的 AI 文本复核网站，可检查粘贴文本和文档，查看概率信号、句子高亮和可导出报告

AI Stem Splitter — AI 音轨分离器

@BrianHumphrie11 · X

做了一个 AI 中转站，分享给有需要的朋友： 我做这个站，打开就能用，需要时能稳定使用，日常工作和学习里能帮上一点忙。 自己平时 Token 用得比较多所以干脆搭了一个中转站。 希望大家可以更方便地使用 GPT、Claude 等 AI 能力，也能根据自己的需求了解 API 和 Token 方案。

Olscore · HN

Pullboard – a work queue for agents, built to run a quant desk

AI Codereview for Gitlab — 基于大模型(DeepSeek,OpenAI等)的 GitLab 自动代码审查工具；支持钉钉/企业微信/飞书推送消息和生成日报；支持Docker部署；可视化 Dashboard - [查看仓库](https://github.com/sunmh207/AI-Codereview-Gitlab)

BulkPicTools — 免费浏览器端图片批量处理工具，支持**工具链串联**（压缩→转格式→裁剪一次完成，无需重复上传），本地 AI 去背景/人脸模糊（WebGPU，无需 API Key），支持 200+ 张图片批量处理，文件不上传服务器。

@milonspace · X

A specification nobody can find is functionally the same as no specification.

@BansalSamy87003 · X

I am 14 year old

u/albanianspy · Reddit

the boring internal tool became the product we didn’t start with a saas idea. we were just annoyed that every agent-built UI looked weirdly related. so we made an internal finish gate: real screen references, a design contract, browser checks, and a ban list for generic AI defaults. one developer kept asking why it wasn’t public. eventually we stopped having a good answer. now UIZZE has a few paid users. builder disclosure: it’s mine, $9/mo or $99 lifetime: https://uizze.com current

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

@syprayt · X

We are building platform to verify user knowledge using AI, so you can avoid boring lectures and save years of life. It’s Academission baby. Yesterday we launched online mode, so that everyone could test our technology, here is the link: