Agentic infrastructure platform

One daemon. Any instrumentation.

Yeet is a programmable kernel runtime that lets any developer, or agent, build bespoke observability tools for any application, in minutes, using JavaScript. No code changes. No logs. No storage costs.

Infrastructure tools should be written, not bought.

The entire stack, from production profilers to DNS snoopers, is generic. We believe these tools should be built dynamically and custom to your service.

01What is yeet?

Yeet is the first platform that gives developers (and AI) the power to program the kernel. Any tool, custom to your application, written and managed in JavaScript.

02How does it work?

Yeet is eBPF-powered, runs as a lightweight daemon on each host, and gives agents access to everything happening on the machine through a typed GraphQL schema. No sampling, no scraping.

03What can I build with yeet?

Production profilers with no logs, endpoint error tracking with no instrumentation, data exfiltration detection with no network tap, and more. All custom to your service.

Live Demo

A bespoke production profiler, built in <3hrs

Custom to your service. Built with AI. Powered by kernel data.

Profiling

See exactly which functions burn CPU, down to the source line. No instrumentation. No SDK.

Latency

HTTP status codes, latency, and request rates parsed at the kernel level. Your app doesn't know it's being watched.

Analysis

Every SQL query, ranked by frequency and duration. Find the query that's killing your p99, live.

Network

TCP connections, retransmits, and service dependencies mapped in real time. No distributed tracing required.

Install Yeet
free in seconds

Available only on Linux

Why Yeet?

A different kind
of infrastructure layer.

Traditional tools were built for human operators looking at dashboards.
Yeet is built for agents that act in milliseconds.

Capability
Datadog / legacy apmSampled / scraped
Kernel-level, milisecond-latency
Datadog / legacy apmParse CLI output
Typed GraphQL– SysGraph
Datadog / legacy apmAlert only
Detect → investigate → remediate
Datadog / legacy apmTrust us
Agents are code. Git is the audit trail
Datadog / legacy apmVendor lock-in, cardinality costs
Your infrastructure, your storage
Datadog / legacy apmFixed dashboards
Build anything on the substrate

See your infrastructure
the way AI sees code.

The substrate is ready. The first agent is running. The window to define this category is 18 months.