@Sparsh209 · X

Hi isha! Check it out here at: Would love to hear your feedbacks

@maric145896 · X

Check out what I just built with Lovable!

@Jenny5143197635 · X

@PickleCharts · X

Hey @Shakib2O1 Would love to talk to you about my SaaS project ! Drop me a DM

@zacxbt · X

my current apps: • j******** (redacted) • @irigenerative (my first nft) • non-crypto saas app • penis game • blockrunner (my endless runner iOS app posted a vid a week ago) • petwidge (per iOS app) • nftwidge (nft gallery iOS app) • (pretty charts) • @perpspet (3d gamified perps) • (gamified bridge) • crypto twitter social app (don’t want to spoil the details) • portfolio pet game where the character is your portfolio, you feed him coins and he grows/evolves • (first app i ever vibe coded in dec) • onchain jam (nba jam 2v2 game but each team is a chain ex: base team = brian + jesse) • waffle world (3d waffle platformer lol) - 3d social trenches game

@domainfyrbrand · X

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

@13SahajChawla · X

For professionals to redact their client's sensitive informations before giving AI to process it & while converting any kind of document to a structured MD file. Better quality outputs, 100% privacy with on-browser local processing, and fully free!

@Kamphey · X

I made a database of 2,000 google sheets formulas that bring JOY to sheets. includes Star Wars, Lord of the Rings progress bars, and timers, and compasses too.

@latent_node · X

@N0V4Dev · X

I found a tool called Next AI that links AI capabilities directly with diagrams. It lets you build and edit diagrams using natural language prompts instead of clicking around the canvas manually. It's a handy way to sketch out architecture when you don't want to drag every box yourself. The project is built on TypeScript with React 19 and Next.js. It supports multiple AI providers and even includes an MCP Server. This means you can use it with the Claude Code CLI to generate diagrams from your terminal. Deployment options are flexible too. You can run the tool locally with Docker or push it to Vercel and Cloudflare Workers. It supports multi provider setups so you can pick the backend that fits your workflow. #Nextjs #AI #Diagrams #TypeScript

@rivaanio · X

😉 built specifically for creators, SaaS founders, and brands who want higher DM conversion without generic robotic replies. ​What’s under the hood: • Flow AI: Context-aware DM & comment replies trained on your brand • Follow-Guard: Require users to follow before unlocking downloadable perks • Link-in-Bio: One clean, customizable landing page with built-in analytics