@WebMomentApp · X

Dropping here, for saving how websites looked before the next redesign changes everything: @WebMomentApp

Austinit · HN

Turn a Suno song into a music video with beat-synced auto-editing

@SouravDaaa · X

- End to end personalised memory retrieval in 10ms. Would love some feedback here

@Aurelsuuu · X

this is my product, come take a look:

@portraitmodeja · X

Helps web designers find businesses that need a new website instead of spending hours searching manually.

Samlion · HN

I built CraftVis, an AI image editor

@AntoineDsh · X

Hey I'm building a to run your LinkedIn outreach on autopilot with Claude. Let's connect !

@iamtrebuh · X

I’m building an AI skills marketplace -

u/Every-Comment5473 · Reddit

I think I may have finally found a fully free alternative to BoxySVG. I came across this browser-based free SVG editor from svgmaker , and it feels pretty close to Apple Freeform in the way the canvas, grids, snapping, and alignment work. It also lets you edit paths, points, text, colors, shapes etc. Most of the things I used to open BoxySVG for, I can now do in this one—and it’s completely free. Honestly, I wasn’t expecting it to be this capable, especially since most AI image generation

@RSolticzki · X

Working on an app that instantly gives you a feed full of leads, matched with your website, on Reddit.

Synthesizer Flow — 浏览器端模块化合成器，通过可视化节点和连线搭建音频工作流，支持实时声音合成、MIDI 音序及 AI Agent 辅助修改工程

@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