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Built an end-to-end AI-powered Content Planner and YouTube and Instagram Analytics platform designed to automate channel audits and streamline production workflows.
Key Highlights:
• Automated Channel Auditing: Evaluates video performance, pacing, and retention drivers.
• AI Content Strategy: Generates data-backed content outlines, hooks, and topic clusters.
• Real-time Analytics Dashboard: Aggregates core YouTube performance metrics to deliver actionable publishing insights.
Tech Stack: Python, FastAPI, React, AI/LLM integrations, TailwindCSS.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Hey! I just shared a write-up on something I learned while rebuilding a product with AI agents:)
The main idea is pretty simple:
Don’t put all your product context in one giant agent file.
Keep the main file small, and put the real product knowledge inside structured docs that the AI can navigate when it needs them.
This has helped me a lot when working on a SaaS product with a lot of business logic!
Sharing the full breakdown here:
I'm offering consulting services to set this up! :)
The table-of-contents-in-the-main-file pattern is the key move here - it keeps the agent's default context small while still giving it a map to go fetch the architecture or naming-convention doc only when the task actually touches that domain.
Building Race OS - a race-day operating system for Ironman and 70.3 tri-athletes. Think Stripe-level simplicity for the most chaotic day in triathlon. Join the waitlist for early access - free for early members : https://launch.li/p/race-os
The goal is to eliminate the logistics, coordination and decision fatigue that comes with race day - for the athlete and everyone around them.
Beautiful work 😍
Designed and built a working platform concept for a Czech drum and bass collective. 🚀 Darkshire.withseismic.com