Utilities1 week ago
ReviewAI – Amazon Reviews + Reddit + YouTube AI Analyzer
Get instant buy/skip/caution verdicts by analyzing Amazon reviews, Reddit threads, and YouTube videos.
@aminnnn_09 · X
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Get instant buy/skip/caution verdicts by analyzing Amazon reviews, Reddit threads, and YouTube videos.
@aminnnn_09 · X
Instantly transform rough thoughts into professional replies.
@anandkumar_dev · X
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.
Create bulk offer letters and certificates with custom branding and QR verification codes.
@rrvindhya · X
Building DocFlow ( — a SaaS that helps HR teams and training institutes generate personalized offer letters & certificates in bulk, with QR verification and one-click email delivery.
Upload your resume to get AI-powered line-by-line feedback highlighting what to fix.
@yathish79 · X
Hi I created this saas using my maternal uncle laptop pls comment ps: i don't have money to buy a domain, hope you guys like it
Generate connected multi-screen UI prototypes from text prompts.
@shokhkarim1212 · X
View product work, engineering changes, and deployment status in one place to confirm shipping readiness.
@Abubakar_2005 · X
Working on two projects right now: -Hooklens – making webhooks easier to build and manage. -Conductor Labs – helping teams ship web apps with more confidence. Would love your thoughts! Hooklens: Conductor Labs:
Get video reviews of your landing page or SaaS app from real people.
@JessePeplinski · X
building and
AI-powered retrospectives for IT teams that connect to your tools and identify improvement patterns.
@akadhanu · X
an ai sprint retrospectives for it teams (
Generate personalized email replies in seconds using AI with custom tones and team workspaces.
@Hassan71030486 · X
Generate personalized AI-powered cold email replies in seconds. Perfect for founders, agencies, freelancers, and sales teams. ✨ Try 3 replies for free — no signup required. Would love your feedback! 👇 🚀 Sendox —
AI career copilot helping product managers optimize resumes and land jobs.
@YashManghnani1 · X
Hey already done, waiting on you to connect. I am building and
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