@kitbasedev · X

We just launched, check us out at

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

@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.

@leethatengineer · X

Building LyteNyte Grid

@gorniv · X

Best client for App Store Connect and Google Play Console =) - .

@MihkelSylla · X

Working on and few other smaller projects for myself

g418572664 · V2EX

做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复

@akadhanu · X

an ai sprint retrospectives for it teams (

@airemesdev · X

What if this is not for me? Have you tried our new product? checkout and see if what you're doing is actually for you 😀😀

@teslaptimus · X

@devtet_mon · X

Building DevTet — monitoring + maintenance reports for web agencies. It helps agencies prove the value of website maintenance with uptime, SSL/domain, ping, key monitoring, WordPress maintenance log, WP plugin, Client groups and branded client reports.

@JackiePeters · X