I created this post for the purposes of entering the H0: Hack the Zero Stack with Vercel v0 and AWS Databases hackathon. #H0Hackathon Inspiration — this one's personal This started with my daughter. She's 13 and an aspiring actor — she's already worked on campaigns and shows from national commercials to a children's TV show, and walked NYC and Brooklyn fashion shows. Every time we went to an audition or recorded a self-tape, I saw how disconnected the whole process was: submissions over email, schedules buried in texts, files scattered across folders, and no clear view of where anything actually stood. I started talking to talent agencies in New York and LA, and they all said the same thing — they're still managing their talent by hand, and it doesn't scale. That's why I built Quudos. The problem Talent agencies run casting on a patchwork of spreadsheets, email threads, shared folders, and disconnected casting databases. Submissions get lost, callbacks slip, and there's no single place to see a campaign move from breakdown to booking. Quudos is the all-in-one operating system for talent agencies — manage your roster, launch casting campaigns, and track every submission through callback and booking. For this hackathon I put it on the zero stack : a front end on Vercel and Amazon Aurora PostgreSQL as the primary database. The architecture Frontend: an Angular single-page app on Vercel , with a v0-built marketing landing page in front of it. API: a NestJS (Node) service using node-postgres with pooling, transactions, and advisory locks. Primary database: Amazon Aurora PostgreSQL (Serverless v2) in us-east-1 — the system of record for every agency, talent profile, campaign, role, submission, and lifecycle event. Auth: a managed auth provider issues JWTs that the API verifies; all application data lives in Aurora. Why Aurora — and a deliberate data model Casting is inherently relational, so I modeled it that way: organizations (agencies) → users (admins + talent) → actor

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Most devs spend all day fixing broken layouts in the browser. Why not fix the one in your actual office? I started treating my desk setup like a refactor project. It turns out, you can actually optimize your physical space with some basic data. Measuring the vibe Data-driven design just means using actual inputs to pick your furniture and paint. Don't guess. Measure your natural light exposure or run a quick script to test your color schemes. Color matters. The American Society of Interior Designers claims blues and greens drop stress by 70%. I don't know if that number is perfect, but I switched my wall to a soft sage and feel less fried at 5 PM. If you want to check the dominant colors in your room, use this bit of Python. import numpy as np from PIL import Image def analyze_color_palette ( image_path ): img = Image . open ( image_path ) img = img . convert ( ' RGB ' ) pixels = np . array ( img ) dominant_color = np . mean ( pixels , axis = ( 0 , 1 )) return dominant_color # Example usage: image_path = ' path/to/image.jpg ' dominant_color = analyze_color_palette ( image_path ) print ( dominant_color ) Pathfinding for your chair Furniture layout often feels like a guessing game. You move the desk, hit your knee on the shelf, and move it back. You can treat your room like a graph problem instead. Use Dijkstra’s algorithm to map the walking paths between your printer, desk, and coffee machine. If your path length is high, your layout is bad. class Graph { constructor () { this . vertices = {}; } addVertex ( vertex ) { this . vertices [ vertex ] = {}; } addEdge ( vertex1 , vertex2 ) { this . vertices [ vertex1 ][ vertex2 ] = 1 ; } dijkstra ( start ) { const distances = {}; const previous = {}; for ( const vertex in this . vertices ) { distances [ vertex ] = Infinity ; previous [ vertex ] = null ; } distances [ start ] = 0 ; const queue = [ start ]; while ( queue . length > 0 ) { const vertex = queue . shift (); for ( const neighbor in this . vertices [ vertex ]) { con

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This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Imagine coming in to work to learn that a new underling will report to you. The worker is not a person but an AI tool—one that your company nonetheless calls Alex, an…

But the system would require a massive leap from any of its existing hardware.

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Most of Apple’s price increases have gone into effect, resulting in iPads and other products costing hundreds more than they did a few days ago. If last week’s Prime Day sale wasn’t a good time to consider buying an iPad, we found a deal worth considering that’s just under $500 right now. The 128GB iPad […]

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