Trading bots that actually fill.

Trading and alerting bots live or die on two things: how fast they react, and whether they keep working when an exchange changes an endpoint at 3am. Most tutorials get you a bot that runs once on a sunny day. We build the kind that runs unattended and holds up when the market moves.

The problem we solve

Integrating with an exchange or a chain is the easy part on paper and the hard part in practice. Rate limits, websocket drops, partial fills, nonce collisions, and silent API changes are where bots break, usually while you are asleep. A bot that cannot recover from those on its own is a liability, not a tool. Making it resilient is the actual work.

What you get

We build the full loop: connect to the exchange or chain, watch the data you care about, act on your rules, and report what happened over Telegram or Discord in real time. That includes reconnection logic, de-duplication so you never get the same signal twice, pacing that stays under rate limits, and logging you can actually read when you want to know why the bot did something.

The stack

We work in Node.js and TypeScript with headless browser automation via Playwright where an API does not exist, plus Telegram and Discord for delivery. On-chain work uses the relevant chain SDKs. This is the same stack behind our own alerting products, so the reliability patterns are already proven rather than improvised.

How we work

A typical build runs 6 to 14 weeks from first scope to handoff, with a working demo every week. We take on about five client projects a year so each one keeps senior attention throughout, and every project ends with a clean handoff and runbooks your team can operate without us.

Proof

CarSnipe is our own real-time alerting product: headless Playwright workers that watch Facebook Marketplace and fire a Telegram alert in a median of about 11 seconds, running for more than 500 active users. Read how we built CarSnipe to see the reliability and speed discipline we bring to bot work.