Struct GTM brain

Struct monitors production changes and triages incidents for software engineering teams, with automated fix proposals.

category

AI production engineering

market profile

  • text: Software teams shipping frequent changes need monitoring that keeps pace with production deployments.
  • text: On-call teams face noisy alerts and slow investigations across code and observability systems.

personas

  • title: Engineering or platform leader
    pains:
    • Alert maintenance and on-call burden compete with product delivery.
    • Unmonitored changes can create customer-facing incidents.
  • title: On-call software engineer or SRE
    pains:
    • Flapping alerts and false positives consume attention.
    • Root cause requires joining deployment, code and incident context under time pressure.

icp

  • text: Software companies with production services, a pull-request deployment workflow and an engineering on-call rotation.
  • text: Fast-moving engineering teams using observability tools and chat-based incident response, particularly those shipping frequent changes.

message pillars

  • text: Find production problems before customers do.
  • text: Create and maintain monitoring as code changes ship.
  • text: Reduce alert noise and focus on real incidents.

objections

  • objection: AI could miss a real incident or misdiagnose it.
    response: Pilot on historical and live alerts, review evidence and compare escalation accuracy before relying on automated fixes.
  • objection: We already have observability and incident tooling.
    response: Evaluate Struct as a layer that uses existing alert, repository and incident context, rather than assuming a wholesale replacement.

competitors

  • name: Rootly
    website: https://rootly.com/ai-sre
    why: AI SRE investigates incidents within an on-call and incident management platform.
  • name: incident.io
    website: https://incident.io/ai-platform
    why: Offers AI alert triage and incident investigations.
  • name: Resolve AI
    why: AI agent for investigating production incidents and proposing fixes.

influencers

  • name: Deepan Mehta
    url: https://www.linkedin.com/posts/deepanmehta_nothing-is-more-nerve-wracking-than-showing-activity-7437876280651542528-uYT2
    why: Co-founder sharing launch and on-call perspectives.
  • name: Nimesh Chakravarthi
    url: https://www.linkedin.com/posts/nimeshmc_today-were-launching-struct-the-ai-production-activity-7500587397747847168-Gaus
    why: Founder discussing the production engineer launch.

keywords

  • AI SRE
  • automated incident investigation
  • on call alert triage
  • production monitoring automation
  • AI root cause analysis
  • alert fatigue software

voice

  • Direct and engineering-native
  • Confident, concise and automation-focused

signals

  • text: Engineering team is hiring SREs or expanding on-call coverage as deployments increase.
  • text: Team reports noisy alerts or long investigations in Sentry and other observability tools.

stack

  • GitHub
  • Slack
  • Sentry
  • Datadog

pricing

model: unknown

motion

hybrid

channels

  • LinkedIn
  • Product Hunt
  • SEO
  • founder-led outreach

confidence

high

Founders

  • name: Nimesh Chakravarthi
    title: Founder/CEO
    role: CEO
    bio: Nimesh is a Co-Founder at Struct, building the new way to do oncall. He led the consumer messaging team at LinkedIn, where reduced messaging support volume by >80% by overhauling reliability & observability. He's an EECS Berkeley grad and a real estate agent.
  • name: Deepan Mehta
    title: Founder
    role: Founder
    bio: Deepan is building. Previously he spent 4 years as a Sr. PM at LinkedIn, where he launched an AI-powered revamp of messaging, video posting, and messaging stories while driving 10s of millions in ARR. Before that, he launched LiveRamp's first self-serve distribution UXs and APIs. He graduated from Georgia Tech with a BS in computer science and is a Mexican Pizza enthusiast.

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