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262k tokens. 5 novels of context. But here is what nobody is asking...
DeepSeek recently dropped a coding assistant with a 262k token context window. Impressive? Sure. Useful? That depends. More context does not mean better code. It means more room for the AI to get lost in irrelevant details. The real unlock is not bigger windows. It’s better targeting. Knowing what 5% of the codebase actually matters for the task at hand.
We are solving the wrong problem.
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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Your product has 14 things blinking at me.
A red badge. A green dot. A “New!” tag. A tooltip. A banner. A survey. A chatbot waving. And somewhere under all that, the button I came for.
Every notification was a good idea on its own. Together they’re a casino.
The quiet products win because:
→ One thing asks for attention at a time → “New” stops being new after a week → The main action is the loudest thing on the screen → Everything else waits its turn
Attention is the budget. Spend it on one thing.
This is most of what I do for B2B SaaS teams: find the one thing on each screen, and get everything else out of its way.
How many things are blinking in your product right now?
Built ScholarRank — an AI-powered education platform using Next.js + TypeScript, cutting initial page load by ~40% with SSR and dynamic imports, serving intelligent tutoring, auto question generation, and document analysis at scale.
Built another AI-powered product experience focused on one thing: making AI actually useful inside real apps.
From AI agents and chatbots to LLM integrations, voice, vision, RAG, and automation, the goal is not to add AI for decoration. It is to make the product faster, smarter, and easier to use.
Currently building AI products with React Native, Node.js, Python, OpenAI, AWS, and Supabase.
#aigold #AI #AIAgents #LLM #ReactNative #SaaS