@aarsh_30 · X

@tommerwaldman · X

@eglant_stock · X

Ini yang kadang pasar belum hargai sepenuhnya. Riset mendalam soal human capital di balik adopsi teknologi bisa dilihat di Bagi yang mau diskusi lebih lanjut soal tren ini, bisa join komunitas kami di Bagi yang mau diskusi lebih lanjut soal tren ini, bisa join komunitas kami di Bagi yang mau diskusi lebih lanjut soal tren ini, bisa join komunitas kami di Bagi yang mau diskusi lebih lanjut soal tren ini, bisa join komunitas kami di

@robingeekydev · X

I'm a solo dev and I just launched something I'm genuinely proud of 🧵 — AI document parsing with confidence scores Here's the problem it solves: Every day, finance & ops teams manually re-type data from invoices, receipts, and purchase orders. It's slow. It's error-prone. And it scales terribly. AutoDocParse lets you: → Upload any business document → Get structured data extracted by AI instantly → Review only the fields the AI isn't sure about → Push data anywhere via API or webhook Built this as a solo dev. Would mean the world if you tried it 🙏 👉 — 20 free parses/month

@1809157Gaurav · X

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

@rishabhnasa · X

Here’s another from my side:

@ScanaraGmbH · X

Automated and affordable EU Ai Act -

cszchen · V2EX

每月订阅 200 刀， 007，做出了一个 0 收入的产品 我的产品叫 Sudaweb AI ，看名字就知道，做网站的，而且是做企业网站带轻量 CMS ，没有炫酷的功能😂 国际版： https://www.sudaweb.ai 中国大陆版： https://www.sudayun.cn 好几个朋友问我都有 AI 了为啥还做这种产品，我一开始也懵圈，后来想了想，你做出来也只是第一步（现在套在我身上也适用） 唯一的优势就是简单，一句话生成，然后可以让 AI 继续改，也可以自己改，有可视化编辑器，内置了多语言、SEO 、统计等 在 Linkedin 和 X 推广了 2 天了，一个注册都没有，有点惨

@HMKhan70 · X

have your own profile page and have your first deal from company or agency!

@fantexi997 · X

phrasel_service · Product Hunt

Phrasel AI-powered PTE Core practice, feedback, and mock tests