
Prodigent
Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -
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Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -

Validate product ideas against public user discussions to decide whether to build, narrow scope, or pivot.
@_sunbo · X
I built ProductIdeaScout to help founders validate product ideas before they start building:

Niched records why you chose a tool, watches the evidence behind it, and shows you when the original decision needs another look.
@niched_dev · X
Would lovw to get more feedback on

Make complex decisions with a free weighted decision matrix in your browser.
@bjoern_live · X
Make complex decisions easy.

Validate your SaaS idea, then turn it into a product: buyer, pricing, scope, launch. Decided by proven frameworks, not guesswork. Kill a bad idea in minutes.
@xavier_shipfit · X
. It's an idea-to-playbook decision engine for vibe coders. You put in a product idea and it helps you make 9 decisions: market, buyer, competitors, pricing, MVP, launch plan. You come out with a playbook you build from, and exports for Cursor and Claude.

Evaluate AI products against published agent criteria with inspectable evidence and community votes.
@katyorby · X
i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.

Search lab reports to verify product purity and composition before purchase.
@Titratelab · X
Love the direction. Partner with us at Built by security & software engineers. We scrape Whatsapp, TG, GLP1forums, Meso, Finnrick, Janoshik, Freedom, peptidechat, and even Discord- where we have over 1 billion messaged logged and analyzed. 70,000 COAs stored in our database from thousands of vendors. Sentimental analysis driven trust signals on all communities. This isn't vibe-coded one-shot scraping; we've developed our own inhouse anti-automation bypasses for nearly every major platform.

Predict device end-of-life dates, security risks, and resale values to guide upgrade decisions.
@teck_baby · 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

Create and edit ecommerce product photos with AI background removal and design features.
Aluo AI — AI 产品图生成与电商图片编辑工具

Search and compare agricultural biological products from an independent database.
@timnuss · X
Trust layer for agriculture

A social network where founders take positions on business decisions and compare judgment with peers.
u/meliksah-eminoglu · Reddit
built a decision-making social app 3 days ago, and it’s already converting visitors into users Im a solo founder and vibe coder with six years of experience building and advising in blockchain/crypto. Three days ago, I launched the social layer of What Would You Do?, and visitors have already started becoming users. The app turns a messy spoken or written dilemma into three clear paths with visible priorities and tradeoffs. You can keep it private or share an anonymized version with the com