@gonelf · X

So many things - dead simple way to share projects within your team - dead simple base - no backend forms - ez directory submissions - a Lego event

@lemhamza · X

@xpj_nath · X

@AymaneOnX · X

Hi, I'm currently building a saas mainly using AI, it's a simplified waitlist tool for founders that let them collect signups before launch. Let's connect.

u/Accurate_Board_9401 · Reddit

Copilot cited my product 19 times before Google even ranked it Checked my Bing Webmaster stats yesterday out of boredom. Copilot has cited Briefly 19 times in the last 3 months. I never did anything for that. No schema markup, no FAQ optimization, none of the AEO stuff people talk about. It just happened. Meanwhile my actual Google numbers are rough. Average position 15.6, basically page 2. 367 impressions, 3 clicks. The classic SEO game still isn't working for me. So I've got this weir

@UzairRehmandev · X

The form builder WordPress deserves: drag-and-drop forms, real conditional logic, and server-verified payments genuinely free, not trialware. Built for teams that have outgrown contact-form basics.

@AIDailyGuy · X

the form built for agents

@propelio_app · X

Hey man, Building Propelio, proposals for freelancers Let’s connect!

@gonelf · X

Yeah, and I have a good track record. Also let’s colab for

@aethrosX · X

- a free pdf utility tools

@nicorask1 · X

Hey Raj, lets connect! I am building a tool that helps saas owners collect feedback from their users and more.

@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