Write a function. Click deploy. Get an API endpoint. No Kubernetes, no Docker, no cold starts.
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This is what deploying looks like — from code to live endpoint.
// Add 'openai' layer for OpenAI SDK const OpenAI = require('openai'); export const handler = async (event) => { const { url } = event; const html = await fetch(url).then(r => r.text()); const text = html.replace(/<[^>]+>/g, ' ').slice(0, 4000); const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }); const { choices } = await openai.chat.completions.create({ model: 'gpt-4o-mini', messages: [{ role: 'user', content: 'Summarize: ' + text }] }); return { summary: choices[0].message.content }; };
Click "Deploy this" to see it in action
From idea to live API endpoint — without touching infrastructure.
Code your function in the browser. Node.js, Python, or Go.
Click deploy. Hot containers spin up. Zero cold start.
Your function is a live API endpoint. Call it from anywhere.
Pick your use case and go live in minutes.
Summarize pages, process documents, run LLM pipelines
Scrape prices, send reports, sync data — on schedule
Process Stripe, GitHub, Slack events with built-in retry logic
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The simplest way to run AI agents and backend jobs without infrastructure.