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Anonymous voice chat, a Telegram Mini App. Random matching by voice or text, voice rooms for up to 8 people over WebRTC with noise suppression, five voice games, friends, streaks and a shop. React and TypeScript front, Python, FastAPI, PostgreSQL and Redis behind it. Live at t.me/AnteikuAnonBot
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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Gorgeous 😍
Datum, a personal portfolio website for builders and makers.
HTML, React and @Framer versions.
Go and check out the cool "inspect" feature at https://no-code.supply/templates/datum
Amaizing
My AI assistant runs all day. The expensive model only does the thinking.
Most requests need no AI at all. "Call me in 30 minutes" is handled by plain code. Reminders, schedules and limits are code too.
Short tasks like sorting and scoring go to fast models on a free tier.
The big model only gets planning and long conversations, where it actually has to think.
If it hits a limit, a backup model answers instead of the app going silent.
If your AI app's bill keeps growing, check what really needs the big model.
What does your app send to the most expensive model?
Same pattern holds in outbound tooling. Filtering, dedupe and enrichment lookups are plain code. The model only writes the first line once the row is already verified. Cuts cost and the weird outputs.