
Make every decision retrievable. | Decision Log
Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X
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Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X

Create professional spec sheets and technical datasheets for manufacturers using AI templates.
@speciq_app · X
is a documentation engine that transforms unstructured product details into professional, compliant technical documents. Unlike generic AI chat tools, SpecIQ provides structured templates and branded outputs tailored for real business use.

Rewrite AI-generated text to sound human while preserving meaning.
WriteHybrid — 可绕过所有顶级 AI 检测器的 AI 人性化工具

Coordinate specialized AI workers to execute tasks from your ideas with human review at each step.
@VisionAIWS · X

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

Rewrite AI-generated text to read naturally like a human wrote it.
u/ReverseGPT · Reddit
learned the hard way that “free” traffic was eating my ad budget and a small lesson from running a $24/mo AI writing tool solo solo founder here, building ReverseGPT.ai on the side. it takes AI-generated drafts and rewrites them so they actually read like a person wrote them (less robotic phrasing, more natural rhythm). the niche is stupidly crowded, so I’ve been leaning on paid acquisition instead of waiting for SEO. quick lesson that might save someone money: I dug into my search term

AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.

Transform AI-generated text into natural-sounding human writing.
Humanizadordeia.app — 将AI文本转化为自然人类写作。1)人性化处理,让 AI 文本更自然、更贴近人工写作与品牌口吻;2)检测服务,帮助识别潜在 AI 生成内容,提升合规与质量。支持多语种、极速处理、保留语义与风格。免注册体验 300 字,适合博主、营销团队、跨境站点、教育与企业内容运营。以先进模型(GPT、Claude、Gemini 等)驱动。

Generate interactive 3D worlds in seconds with text and photos using AI for games, research, and robotics.
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站

Autonomous AI research engine that generates full academic papers with real citations from a prompt.
@fedeponte1 · X
my first saas. i think i built something people actually want and completely failed at the business side. would genuinely love help. openpaper ( writes full, cited research papers from a prompt. research, outline, writing, real citations, export. the honest numbers: - ~2,300 signups - ~1,500 generated a full paper. people actually use it. - ~5 have ever paid. ~$45/mo. activation is great, revenue is basically zero. i've been staring at this for weeks. the paywall is on export (pay ~$12 to download the pdf). but the full cited paper is right there on screen, free, you can read it and copy-paste it. so i'm charging for the gift wrap after handing over the gift. almost nobody even reaches checkout. 76% generate exactly one paper and leave. one-and-done, so subscriptions make no sense. the audience is mostly students and researchers on personal gmail, all over the world, almost none on university or company emails. traffic is x and github. so i genuinely can't tell

Call AI replicas of human experts trained on their knowledge to get expert advice.
@callable_com_ai · X
create your digital twin with your knowledge base for others to call (and make money?)

Rewrite AI-generated text into natural-sounding copy for blogs, emails, and social media posts.
oliviamy · HN
AI Humanizer – Rewrite AI text into natural copy