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
Back to feedPost
Children's activities marketplace — provider onboarding, search, booking flow. Built in 1 week.
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
Trending
Claude
Claude has entered the design space. How are you using it?
Contra University
Learn from expert creatives how to earn more using next-gen AI tools.
Brand Design
The best brand designers are on Contra. Scroll to see what's trending in brand design. What are you building?
creativeaiflow
Creative AI workflows are evolving. What tools do you use, and what are their strengths and weaknesses?
freelancerlife
Freelancer life is wins, pivots, and everything in between. What’s yours right now?
Related posts
The biggest mistake startups make?
Building features nobody asked for
I help founders validate ideas first, then build production-ready AI products using.
⚡ Lovable
⚡ Claude Code
⚡ GitHub
⚡ Rork
Build less.
Launch faster
Grow smarter
What's one problem your business needs AI to solve?
Hype, hype and hype... It's the first page of the notebook that I write in tells me.
I was building automated workflows around Signalwatch, and it got me thinking about all the hype.
Hype around just one piece of the puzzle, LLMs. They just predict the next word while generating... No magic.The better they are trained, the better the output. Super helpful in a lot of contexts...
Tool calling. Helpful, but if LangChain and RAG + LLMs, for example, are not included where appropriate, ta ta, bye bye.
Automation. Someone bringing me a glass of water, for example, isn't something to be automated or waste resources or tokens on...
This brings me back to structural understanding, especially python + machine learning basics where you train a model based on a small piece of dataset you download from hugging face, for example... a lot becomes clear here
Marketing teams don't need more AI tools, they need one that remembers their strategy. So I built them a teammate instead.
Designed and shipped Ella AI (https://www.atomicelevator.com/) end-to-end: an AI-powered marketing assistant that helps agencies and teams plan, execute, and refine strategy through intelligent automation — not just another content generator that forgets everything between sessions.
Stack: Next.js, Nest.js, PostgreSQL, Supabase, OpenAI LLM, OpenRouter, TanStack Query, Stripe, API Deck, WorkOS FGA, HubSpot, Sentry
Built the whole product from the ground up — architecture, backend, integrations, billing, the works.
Happy to talk through how the strategy-memory layer or the integration stack came together if you're curious always down to nerd out on agent architecture.
