Your AI wrote the script.
Now run it somewhere.
Deploy, schedule, and monitor Python straight from Claude, ChatGPT, Cursor, or Antigravity. No laptop left running, no server to babysit, and no keys exposed to your local machine.
Write a scraper that checks the Hacker News front page every morning for posts mentioning "LLM" and saves the state. Run it daily at 8am UTC on LiteLambda.
I've written the script and called litelambda.deploy_job to schedule it in an isolated micro-sandbox:
import requests
def handler(event, context):
top_ids = requests.get("https://hacker-news.firebaseio.com/v0/topstories.json").json()[:20]
seen = context.kv.get("seen_ids", [])
new_posts = []
for item_id in top_ids:
if item_id not in seen:
post = requests.get(f"https://hacker-news.firebaseio.com/v0/item/{item_id}.json").json()
if "LLM" in post.get("title", ""):
new_posts.append(post.get("title"))
context.kv.set("seen_ids", top_ids)
return {"matched": len(new_posts), "titles": new_posts}0 8 * * * (daily 8am UTC) • Packages: requests
No Laptops Left Sleeping
Local cron jobs fail when your MacBook sleeps or loses Wi-Fi. LiteLambda runs in a fault-tolerant cloud cluster that never sleeps or drops scheduled runs.
Micro-Sandboxed Security
AI-generated scripts run as non-root inside read-only containers with memory limits and zero access to your local machine files, SSH keys, or shell.
Built-in Key-Value State
Agents don't need to spin up a Postgres instance or Redis cluster. Every LiteLambda job has a persistent KV store built right into the runtime.
Connect Your Favorite AI Assistant in Seconds
Zero setup. Select your editor or client below:
Cursor (Streamable HTTP / SSE)
Add LiteLambda to your ~/.cursor/mcp.json:
{
"mcpServers": {
"litelambda": {
"url": "https://mcp.litelambda.in/mcp",
"headers": {
"Authorization": "Bearer YOUR_LITELAMBDA_API_KEY"
}
}
}
}Ready to give your AI execution powers?
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