fouadhalawi · HN

Location: UK company (MicroCity Solutions Ltd, reg. 17103353); I work remotely from the Middle East (UTC+3) Remote: Yes, B2B — you contract the UK company, no payroll or employment friction Willing to relocate: No Technologies: Python, PHP, SQL (MySQL/PostgreSQL), FastAPI, LLM integration, RAG, OCR / document data extraction, automation pipelines, Shopify & WooCommerce APIs Résumé/CV: https://microcitylabs.com (two live SaaS products — try them on your own files) Email: [email protected]

vinitk80555 · HN

AI Product Opportunity

@_sunbo · X

I built ProductIdeaScout to help founders validate product ideas before they start building:

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

@teslaptimus · X

u/yonnnyy · Reddit

How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this

@TimEngng · X

Stop losing the "why" behind product decisions -

@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.

@ShpendPalushi · X

I guarantee you, you are not getting most out of your data. Let Product Gale tell what you are missing from your data

@max21226 · X

Let's connect my friend. I'm building a product launch kit creator and organizer. Love to see what #solofounder #buildinpublic

@kitbasedev · X

We just launched, check us out at

@MitanshDevNew · X

just shipped DataDrop — extract data from messy PDFs without uploading anywhere. everything runs in your browser. free to try, $10/mo for unlimited. #BuildInPublic