
Rerun | Run agents you can actually watch work
Build AI agents and watch them execute live on an interactive visualization dashboard.
@Aurelsuuu · X
this is my product, come take a look:
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Build AI agents and watch them execute live on an interactive visualization dashboard.
@Aurelsuuu · X
this is my product, come take a look:

Build production-ready AI agents using a visual canvas interface.
@salmanzafar949 · X

Aggregate and view context-rich briefs from your AI agents.
flysonic10 · HN
Meltbox – where your agents send you briefs

AI agent that generates comparable product concepts from ideas, sketches, images, and constraints.
@hedge8og · X
4月23日,我开始用 Codex 搭自己的产品。到现在,满3个月了。 截至7月19日,Codex 页面显示247.1亿个 Token,连续使用54天。标题里的“250亿”是取整,准确数字以截图为准。 这三个月,我把 做上线了,产品介绍视频改了很多版,也借助 Codex 做了不少以前一个人很难完成的工作。 具体一点:我用它整理过 BP、导出过 PDF、做过 PPT 工作稿,也把调研、文档、图片、浏览器操作、网站、视频和邮件这些常见 Skills 跑过一圈。有些后来真的进入了工作,有些试完就放下了。 现在回头看,最大的收获不是“我做过这么多种东西”,而是我越来越能分清:哪些能力能进入真实工作,哪些只是演示起来很厉害。 这些数字确实挺夸张。说实话,我自己看到也会觉得:是不是做了很多事? 但如果现在让我总结,我不会把它们当成绩。它们只能证明我很投入,蹬得快冒烟了,不能证明产品已经有价值,更不能证明商业已经成立。 我大学辍学,最高学历是高中,之前一直在制造业工作,也不会写代码。写这些不是为了卖惨,更不是想证明学历没用,只是先把我的真实起点说清楚。 2月 OpenClaw 火起来以后,我开始认真试各种 AI 工具,想先解决工作里那些重复、又不得不做的事情。 这期间还有一次,客户马上要我提案,但公司的设计师手上也有急活。我用 ChatGPT 做了产品效果图,最后拿到了订单。 老板后来跟我说:“早知道你可以帮我做这些,那些外包设计早就可以不用买了。” 到了4月,我又用扣子搭了发货模板和记账系统。原来需要手工对比核验的条形码、外箱码,我也开始想办法交给工具处理。 这张订单图只能证明订单记录是真实存在的,不能单靠它证明订单一定是 AI 带来的,更不是 Ohwait 的客户案例。AI 参与了产品效果图制作,之后拿到订单,是我对那次真实工作过程的记录。 那一刻让我兴奋的,其实不是发现了什么创业机会,而是我第一次觉得,模型真的可以成为人的“数字外骨骼”。 回头看这三个月,我现在有5个比较确定的结论。 ### 1. AI最好先从一个真问题开始 发货、记账、核验、临时要效果图,这些都不是什么宏大命题,但它们有一个共同点:问题原本就存在,而且有人正在为它花时间、花钱或者承担压力。 我现在判断一个 AI 工具有没有价值,还是看两件事:它有没有少让我重复

AI platform for designers and creators to generate visual content.
lklkai · Product Hunt
LKLKAI AI creation platform for designers and creators

Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X

Extract structured data from PDFs automatically using AI for automated workflows.
u/yonnnyy · Reddit
How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this

Interactive WebGL visualization of scientific citation networks and papers.
@lushptr · X
I feel really guilty for vibe coding this but it looks cool even tho it is really inefficient and broken you can use it too now I'll desloppify it after exams I swear

Curo - Your AI-powered Learning Companion
@_srvsi_ · X
Make internet's fragmented and unstructured knowledge/content into personalised learning experience.

Pin comments on AI-generated documents for the AI to read and revise.
ashaney · HN
Curio, a place for HTML files

Generate infographics from text using AI with 17 visual styles and 20 layout templates.
SummaGraph — AI 信息图生成工具,粘贴任意形式的文本即可一键生成高质量信息图,内置 20 种视觉风格 × 20 种布局模板,支持系列模式一次生成多页风格连续的信息图,覆盖中英日韩等 9 种语言