Caveman GTM brain

category

market profile

• text: Agent builders face token, latency and retry costs that cannot be understood from model prices alone.
• text: The product combines a free developer entry point with cloud observability, evaluations and model routing for production teams.

personas

• title: AI application engineer
  pains:

  • Agent context and output inflate token spend
  • Model routing changes need evaluation before production
• title: Engineering leader responsible for AI infrastructure
  pains:

  • Cannot attribute spend to successful tasks and retries
  • Needs guardrails and evidence before automated optimization

icp

• text: Software teams building production agents in Python or TypeScript, particularly with substantial model usage.
• text: Larger organizations requiring their own cloud account, Kubernetes deployment and access controls are an enterprise fit.

message pillars

• text: Reduce agent spend through a continuous optimization loop.
• text: Validate fixes before accepting savings.
• text: Optimize the outcome, not just one model call.

objections

• objection: Will cheaper calls degrade quality?
  response: Evaluate cost, quality and reliability together on real workloads before rolling out changes.
• objection: Can sensitive agent traffic stay in our environment?
  response: The enterprise offering describes a VPC deployment with customer-managed storage and keys; verify fit with security.

competitors

• name: Langfuse
  why: Overlaps in agent observability, evaluation and cost visibility.
• name: Helicone
  why: Provides LLM request observability and cost tracking.

influencers

• name: Julius Brussee
  url: https://github.com/juliusbrussee
  why: Founder and maintainer of the open source project.

keywords

• AI agent cost optimization
• LLM token reduction
• agent observability
• LLM model routing
• Claude Code cost
• LLM evaluation

voice

• playful and irreverent
• developer-oriented
• concrete about cost and proof

signals

• text: Engineering teams scaling agent traffic or hitting coding-agent usage limits are plausible early adopters.
• text: An organization seeking VPC deployment and AI cost controls may fit the enterprise offering.

stack

• Claude Code
• Codex
• OpenCode
• Python
• TypeScript
• Kubernetes

pricing

motion

channels

• GitHub
• Hacker News
• press
• developer community

confidence

Founders