@zsh89821970 · X

做了一个新小项目 🛠️ Sent2X — AI 驱动的 X/Twitter 定时发帖工具。用 AI 生成一批帖子，一键导入，定时自动发布。不用每天蹲在 X 上。 👉

@SpiceP0dcast · X

Create, distribute and monetize your video content - one chat.

@troyaunderwood · X

@AmeerHaio · X

your content everywhere!

@AjayGB4 · X

@wesselsHQ · X

u/naxmax2019 · Reddit

Lessons from building a “paste a URL, get your brand” onboarding - our activation rate doubled when we deleted the signup wall Building an AI content tool (Sketch : turns one prompt into on-brand posts, carousels, video, etc.). Sharing one decision that changed everything, because I see SaaS founders get this wrong constantly: We let people generate before signing up. Old flow: signup → onboarding form → brand kit upload → first generation. Classic. Also classic drop-off at every step. N

@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

@helloukey · X

@awadh_kartik · X

We eradicated something inevitable -

@BuiltByAmar · X

sipsip.ai — 支持30+平台视频AI转录并提取摘要，订阅RSS可以每天发送早报