@11bhagwat · X

@Jatinthadani1 · X

@smartlinkpro10 · X

Building Smart Link Marketing infrastructure for serious marketers. One platform replacing: → Link tracker → Bot protection → Geo targeting → A/B testing → Deep analytics

@AmeerHaio · X

your content everywhere!

@NikhilAhlawattt · X

Built a gamified team management software to make work fun. We combine tasks, projects, chats, meetings, attendance and reports at the same time have points, leaderboards and streaks! We are also whatsapp integrated :) Check it out:

@nundinaapp · X

I dropped 😋

MeetSpot 聚点 — 多人聚会地点智能推荐工具，输入 2-10 人地址，用球面几何算法计算公平中点，AI 评分推荐附近高评分场所，覆盖 350+ 城市，免费使用无需注册。

@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

@vaultmeet · X

mjkl7896 · HN

Velprium - Time Workspace

@JespernissenSEO · X