@JespernissenSEO · X

@its_mepius · X

@taherchhabra · X

These exact 4 things ... in

not_wowinter13 · HN

AI-powered SEO automation for WordPress

@DacyoUI · X

- automate your blog and content publishing

@TwitWithOmkar · X

Hey, I am into Startups, my new platform. 🚀 PostPlix is now live! Generate content, schedule posts, and automate your social media with AI. Less time creating content. More time building your business. 🌐 let's connect and grow together.@TwitWithOmkar

@alexanderOsso · X

Hey, I've been building social media scheduler for AI agents Let's connect

@DonatasJab · X

Not long ago finished my first SaaS product - social media scheduling tool. Tomorrow will launch on Product Hunt. I hope it goes well.

@qayyumabro · X

@KhaledMMatar · X

@AadyaAI · X

Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

@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