Kai Karlstrom
Director of GTM Engineering.
This profile was put together from Kai's public GitHub portfolio, and they haven't joined Vibetown yet, so reach them through their portfolio. Is this you? Contact us to update or remove it.
About
Kai Karlstrom works in AI GTM & Growth, AI engineering and vibe coding & full-stack, based in Spain (Tam To Target). Director of GTM Engineering. I build and run the internal platform my GTM engineers ship on: catalog, guardrails, telemetry, model routing, approval loops. Public projects on GitHub include Gtm Pipeline (Reference implementation of a list-building path for GTM engineers: a plain-English campaign brief becomes a…), Cc Logger (Observability for Claude Code: HTTP hooks record sessions, sub-agents and tool calls to Postgres, so agent…) and Runtune (A runtime learning loop for coding agents), mostly written in Python.
Projects 6
- github.com
Gtm Pipeline
Reference implementation of a list-building path for GTM engineers: a plain-English campaign brief becomes a deduped, qualified, enriched, sequencer-ready contact list in seven stages, with swappable data providers.
- github.com
Cc Logger
Observability for Claude Code: HTTP hooks record sessions, sub-agents and tool calls to Postgres, so agent work can be inspected, compared across runs, and turned into guardrails.
- github.com
Runtune
A runtime learning loop for coding agents. Turns Claude Code, Codex, Cursor, Antigravity and model-router runs into human-approved, measured changes to the agent harness: guard rules, skills, sub-agents and routes. It tunes the harness, not the model.
- github.com
Gtm Research
Source-verified web research for GTM enrichment: every fact carries the URL that proves it, results are cached across runs, and paid providers run only when free ones fail.
Internal Gtm Platform
Reference architecture of an internal GTM platform: the platform one person runs for a team of GTM engineers delivering to 34 clients. Ten capability layers, the invariant each enforces, what it measured, and its known gaps.
github.com- github.com
Callusguard
Guardrails for Claude Code and Codex written from telemetry: record tool calls, derive rules from recurring failures, enforce at the tool boundary, verify scope, prune rules that stop firing. On PyPI as callusguard. The wider learning loop continues in runtune.