@derek_codez · X

The next generation of Home Service based business solutions

u/shadowosa1 · Reddit

I rebuilt my landing page after 300+ visitors still didn’t understand what my app does. I’ve been building a spatial thinking environment called ThinkSpatial, and one of the hardest parts hasn’t been building the product. It’s been explaining what it is in the first few seconds. The basic idea is simple. You speak or type, and your thinking gets turned into a visual map instead of disappearing into a chat box, doc, or note-taking app. My first landing page was way too focused on showing h

@vedai_space · X

u/carlosmarcialt · Reddit

I spent months building my SaaS and completely forgot the marketing part I just realized Voxandra has had exactly zero marketing. Not bad marketing. Literally none. So this Reddit post is now the entire marketing department. Voxandra is an AI phone copilot for people and teams who still get real work done over phone calls. Supplier calls, payment follow ups, claims, banks, government offices, universities, and all the other places that somehow still behave like email was never invented.

@meshlearningAI · X

cosmogram · Product Hunt

www.cosmo-gram.com Astrology & AI

@kashyap_ai · X

@moond0g420 · X

stasiac · HN

A capable AI assistant with its own inbox

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

@Jamesco · X

Brain's House visual bookmarks: Put things where they belong, and you'll always remember where they are. Would love to hear your harshest criticism!

@SkinsSquad · X

No funding necessary but a great productivity tool for myself to connect GCal, Slack, and Granola for organizing my To-dos in one spot.