
AfterTaken — AI Product Photography | Studio-Quality Photos
上传产品图片,选择场景,AI生成专业级摄影照片。
@aftertakenai · X
for AI e-commerce product photography
完整作品展
技术栈
23 projects

上传产品图片,选择场景,AI生成专业级摄影照片。
@aftertakenai · X
for AI e-commerce product photography


用AI收集用户反馈、优先排序功能需求、发布客户喜爱的功能更新。
@heyayankai · X
💬 Building FeatureSay. A simple platform to collect user feedback, prioritize feature requests, and build what customers actually need.

发现并为在 Product Hunt 及其他平台推出的初创公司投票
@antonyefanov_ · X
Shipping new features every day to
上传产品照片,快速生成工作室级列表照、生活场景和视频广告。
@sophiaanhnguyen · X
Shipping We solve the product content bottleneck for ecommerce teams. It’s built for brands, sellers, and marketers who need polished product visuals, AI model content, and video-ready assets faster.

生成带成功评分的商业创意和融资演讲稿
@pitchspark_ai · X


从App Store和Google Play评论中提取产品洞察、痛点和竞争机遇。
u/Top-Quarter-4281 · Reddit
I made a product for analysing app reviews and get insights Hi folks! I recently made ParseMyApp , it takes any app and turns its reviews into something usable: top complaints with root causes, what users would riot if you removed, feature requests ranked by impact, and where competing apps could win based on analysed app weaknesses. Bonus: No account needed, free and runs entirely in your browser. How does it work: it pulls up to 500 reviews for iOS (Apple's API cap), and up to 1500

追踪用户事件和分析产品行为。
@kitbasedev · X
We just launched, check us out at

上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

YouEx.ai 是面向 B2B 销售团队的 AI 原生 CRM 平台,自动捕获、丰富、评分和分配线索。
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha