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.
The entire stack, from production profilers to DNS snoopers, is generic. We believe these tools should be built dynamically and custom to your service.
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.
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.
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.
Custom to your service. Built with AI. Powered by kernel data.
See exactly which functions burn CPU, down to the source line. No instrumentation. No SDK.
HTTP status codes, latency, and request rates parsed at the kernel level. Your app doesn't know it's being watched.
Every SQL query, ranked by frequency and duration. Find the query that's killing your p99, live.
TCP connections, retransmits, and service dependencies mapped in real time. No distributed tracing required.
See exactly which functions burn CPU, down to the source line. No instrumentation. No SDK.
HTTP status codes, latency, and request rates parsed at the kernel level. Your app doesn't know it's being watched.
Every SQL query, ranked by frequency and duration. Find the query that's killing your p99, live.
TCP connections, retransmits, and service dependencies mapped in real time. No distributed tracing required.
Available only on Linux
Traditional tools were built for human operators looking at dashboards.
Yeet is built for agents that act in milliseconds.
Data Freshness
Sampled / scraped
Agent interface
Parse CLI output
Actuation
Alert only
Governance model
Trust us
Storage
Vendor lock-in, cardinality costs
Extensibility
Fixed dashboards
Kernel-level, milisecond-latency
Typed GraphQL– SysGraph
Detect → investigate → remediate
Agents are code. Git is the audit trail
Your infrastructure, your storage
Build anything on the substrate
The substrate is ready. The first agent is running.
The window to define this category is 18 months.