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Hyperprobe

AI-native production debugger that captures live variable state from running code without redeploying.

Y Combinator backedAI Native Production DebuggerRead-only non-blocking probesSupports JS/TS/Java/Python/RubyWorks with Cursor, Claude Code, Codex, Opencode
Category
Developer Tools / Observability / AIOps
Business model
B2B developer tools/SaaS, likely usage-based or self-hosted enterprise subscription, with a demo-led sales motion.
Stage
Early-stage, YC-backed; exact funding stage unknown
Target audience
Platform, SRE, and on-call engineering teams at SaaS companies running production microservices, especially teams already using AI coding agents and tools like PagerDuty, Datadog, or Slack.
Opportunity score
68/100

Hyperprobe attacks a high-cost, high-urgency problem with strong differentiation, but faces serious technical, security, and distribution hurdles.

Founder verdict
MAYBE

HyperProbe attacks a real, expensive problem but faces high technical and trust barriers that make it easier to niche down or join than to clone.

What is Hyperprobe?

Hyperprobe is a YC-backed developer tool that positions itself as an AI-native production debugger. Instead of requiring engineers to add logs, redeploy, and wait for an issue to reproduce, Hyperprobe lets coding agents place read-only virtual breakpoints on suspect lines in running services, capture exact variable state on live traffic, and deliver evidence-based root cause analysis. The website emphasizes silent failures, exceptions far from their cause, race conditions, and third-party contract drift. The product claims to reduce root-cause time from 3-4 hours to under 10 minutes and to eliminate redeployment cycles during incidents. It supports multiple languages, integrates with PagerDuty, Datadog, Slack, and AI coding agents, and emphasizes self-hosted/VPC deployment, PII redaction, and an immutable audit trail. Pricing, revenue, growth, and team size are not publicly disclosed.

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