Finance & Business1 week ago
SkillTry
Call AI skills for e-commerce: video generation, product selection, listings, and ad diagnostics.
SkillTry — 电商 AI Skill 服务市场，按次调用视频、选品、Listing、广告诊断等薄服务，无需购买整套 SaaS
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37 projects
Call AI skills for e-commerce: video generation, product selection, listings, and ad diagnostics.
SkillTry — 电商 AI Skill 服务市场，按次调用视频、选品、Listing、广告诊断等薄服务，无需购买整套 SaaS
Collect user feedback, prioritize features with AI, and ship changelogs your customers love.
@heyayankai · X
💬 Building FeatureSay. A simple platform to collect user feedback, prioritize feature requests, and build what customers actually need.
AI agent that books demo meetings on LinkedIn by tracking buying signals and scoring leads.
@nickventuri · X
building to book high intent demos on autopilot founders just show up to meetings
Test your product idea against AI-simulated focus groups matched to your target audience.
@product_luke · X
Free roast, no signup. Reply with your landing page URL. I'll run it through -- 50 AI-simulated customers from YOUR target audience -- and post the verdict here: → score /100 → top objections → the single most brutal verbatim quote First 10 replies. Fair warning: 15% of the panel are hard rejectors. They don't do mercy.
Design App Store screenshot sets with 3D device frames, gradients, and one-click export.
@MSiatrak · X
Checked my Umami stats this morning - straight from Claude Code via my Umami MCP 📊 ~30% of visitors are on mobile… and every single one hit the "desktop only" gate. Shown 11 times, 0 continued past it. A third of traffic couldn't even try it.
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
Generate personalized illustrated storybooks and audiobooks with consistent AI characters.
@StoryStitchApp · X
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:
Voice-practice sales scenarios with AI scoring across five dimensions and 14-day trend tracking.
@h_sellak · X
is voice practice for technical founders who run their own sales
Centralize customer feedback, prioritize with public voting, and share interactive product roadmaps.
@himanshu_b20 · X
AI tool that generates on-brand content like posts, carousels, and videos from text descriptions.
u/naxmax2019 · Reddit
Lessons from building a “paste a URL, get your brand” onboarding - our activation rate doubled when we deleted the signup wall Building an AI content tool (Sketch : turns one prompt into on-brand posts, carousels, video, etc.). Sharing one decision that changed everything, because I see SaaS founders get this wrong constantly: We let people generate before signing up. Old flow: signup → onboarding form → brand kit upload → first generation. Classic. Also classic drop-off at every step. N
Scan social media for customers and automate personalized content posting.
@yerkeRakhimov · X
Building PostMine, because I got tired of shipping products nobody saw. It scans X, Reddit and HN for people already looking for what you built and hands you a ready-to-post reply.