There are 24 invoices in the inbox. On the left a single worker chews through them one by one; on the right, the team you assembled. Each desk shows the document the server is processing right now, and its bar fills for exactly as long as the job really takes.

Live ETH and SOL prices in euros with the 24 h move, and the curve builds while you watch. Type an amount to see what it buys right now. You can check a wallet balance too: read-only, no transactions. Everything goes through this Go server with a cache.

A furniture configurator in a room. The furniture is made from real shop photos: a corner sofa, an armchair, a table with chairs, a pendant lamp. Open the menu to add pieces from the catalogue and change the rug, walls and floor. Drag the furniture to a wall and turn the room all the way round. A shop can also upload its own GLB model right here: it sets the real size and what shoppers may change, from a colour to a fabric made from a photo. Switch between Free and Pro to see what shoppers get. Shops put a room like this next to a product, so buyers can see whether it fits.

An assistant for accounting: extracts data from documents in any language, separates purchases from sales, understands bank statements, and turns expense rows into ledger entries. Rules decide what they know; AI is called only where judgement is needed.

The chat is grounded in my real experience and answers in the first person. Switch to "My problem" and describe your situation: you'll get a solution sketch, not sales copy. What it doesn't know, it says it doesn't know.

The same check the Lead Qualifier extension runs, done here by this Go server. Type in any business website and see its platform, marketing tags (including the ones hiding in the Tag Manager container), contacts, search basics and what you could pitch to that business. Emails and phone numbers are masked in the middle: you see they are there, but this is not a contact scraper.