Reason Machines GTM brain

category

market profile

• text: Engineering teams can delegate repository tasks to cloud coding agents and compare them on completion quality and cost.
• text: Agent users increasingly combine multiple model subscriptions and tools, creating coordination and cost pressure.

personas

• title: Software engineer
  pains:

  • Routine fixes, flaky tests and dependency upgrades interrupt feature work
  • Switching between coding agents and hitting subscription limits fragments progress
• title: Engineering manager or startup CTO
  pains:

  • Backlogs grow faster than review and delivery capacity
  • Agent costs are difficult to compare against reliably completed work
• title: Platform engineer
  pains:

  • Teams need to initiate and monitor repeatable agent tasks from CI or Slack
  • Repository access and cloud execution require a careful security review

icp

• text: Software businesses with active repositories, engineering backlogs and developers already experimenting with coding agents; small product teams are a plausible initial wedge.
• text: Teams using Slack and CI that can delegate well-scoped work and review generated pull requests; the site also names engineers at large technology companies.

message pillars

• text: Get more work from existing AI spend.
• text: Coordinate people and multiple agents together.
• text: Start autonomous sessions from existing engineering systems.

objections

• objection: Can we trust autonomous changes in our codebase?
  response: Pilot on a bounded issue with human review and tests; evaluate permissions and data handling before granting broader access.
• objection: We already pay for other agents.
  response: Compare completion quality and total cost on representative tasks, using existing accounts where supported.
• objection: Will this fit how our team works?
  response: Try a Slack request or API-triggered CI task and inspect the resulting session.

competitors

• name: OpenAI Codex
  why: Cloud and local coding agent competing for delegated engineering tasks.
• name: Cognition Devin
  why: Autonomous software engineering agent with a cloud workspace.
• name: Cursor
  why: AI code editor and cloud agent already used by the same developers.
• name: Claude Code
  why: Agent for coding in terminal, IDE and cloud workflows.

influencers

• name: Adi Singh
  url: https://www.adisingh.com/
  why: Co-founder who writes about building Reason Machines.
• name: Sven Myhre
  url: https://teapawt.net/svemyh
  why: Co-founder discussing autonomous engineering and Reason.

keywords

• autonomous coding agent
• cloud coding agent
• AI software engineer
• GitHub issue to pull request
• coding agent cost per task
• Slack coding agent
• coding agent orchestration

voice

• Benchmark-led and assertive
• Concise and developer-native
• Pragmatic about cost

signals

• text: Engineering team is combining several AI subscriptions or coding agents and looking to coordinate work.
• text: A team is seeking to automate recurring maintenance, test fixes or issue-to-PR workflows.

stack

• Slack
• GitHub
• REST API
• macOS

pricing

motion

channels

• SEO
• X
• LinkedIn
• developer content
• GitHub

confidence

Founders

• name: Adi Singh
  title: Cofounder
  role: Founder
  bio: co-founder @ Reason Machines EECS @ UC Berkeley, Cybernetics NTNU Prev built a rust based IDE from scratch 21
• name: Sven Myhre
  title: Co-founder
  role: Founder
  bio: Co-founder of Reason Machines (YC P26) - Building autonomous software-engineering agents. Studied EECS at UC Berkeley as a NORAM Scholar and Cybernetics & Robotics at NTNU. Won the 2025 Norwegian AI Championship and “Most Technically Impressive” at the Supabase AI Hackathon at YC, built stochastic prediction models at F100, and was president of Cogito, Norway’s largest learned society for AI.