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Launch HN: HyperProbe (YC S26) – Agents that do read-only debugging in prod

hyperprobe.co|13 points|7 comments|by shailendraht|Aug 5, 2026

Launch HN: HyperProbe (YC S26) – AI-Powered Read-Only Production Debugging

HyperProbe is your autonomous, 24/7 AI On-Call Agent. Imagine a scenario: it's 02:47 AM, the order-service is reporting 847 failures every 10 minutes, and @priya has just been paged.

Your engineers joined the industry to build products, not to live in war rooms. Every single hour spent hunting for a bug is an hour stolen from innovation. HyperProbe intercepts the incident, working the problem from the initial alert to a confirmed root cause before your team even opens their laptops.

Supported Stacks: Node.js · TypeScript · Java · Python · Kotlin Integrations: Works seamlessly with Cursor, Claude Code, Codex, and Opencode.


🚨 The Problem: The "On-Call" Tax

Currently, your most talented engineers are relegated to being your on-call rotation. This creates a vicious cycle:

  • Opportunity Cost: Debugging time \neq Building time.
  • Regression: Without a permanent fix, the same conditions trigger the same incident next week.
  • The "Log Gap": Root cause analysis takes hours because the specific variable state that explains the failure was never logged.

💡 The Solution: Intelligent Production Probes

HyperProbe is the AI agent that handles the investigation so your humans don't have to. It allows your coding agents to deploy a read-only probe directly onto the exact line of code causing the issue in production.

Key Advantage: It captures critical data that standard logs miss, all without requiring a service restart or a new redeployment.

Impact Metrics

MetricTraditional DebuggingWith HyperProbe
Time to Root Cause3 to 4 hours3 \text{ to } 4 \text{ hours}10 minutes\approx 10 \text{ minutes}
Redeployments per Incident3 to 43 \text{ to } 400
Senior Engineers Required2 to 32 \text{ to } 300

"Sync issues used to take us days to reproduce locally. HyperProbe caught the silent data mismatch in production on the first attempt." — Aishwarya Maurya, Tech Lead, CheQ Digital

"During peak traffic, our listing service was black-boxing failures. HyperProbe let us inspect the live memory state during the spike. We fixed the race condition in the same hour." — Bhagwan Bansal, SDE, Housing.com


⚙️ How It Works

When an incident triggers, HyperProbe follows a precise execution flow:

  1. Alert: Automatically ingests pages from Slack, Datadog, or PagerDuty.
  2. Plan: Analyzes distributed traces and logs to pinpoint the failing file and line, then maps out a debugging strategy.

What exactly is a "Probe"?

A probe is a non-blocking, read-only snapshot of the live variable state at a specific line of code in your active service. It triggers on real production traffic, grabs the exact values, and then vanishes.

Ideal for:

  • Silent Failures: Wrong behavior where no exception is thrown.
  • Swallowed Errors: Exceptions that are caught and ignored.
  • Concurrency Issues: Race conditions requiring thread state at the exact moment of overlap.
  • API Drift: When a third-party vendor changes a field or status value without notice.

🚀 Coming This Month

  • Memory leak diagnosis
  • OOM (Out of Memory) root cause analysis
  • CPU spike isolation
  • Latency spike tracing

📖 Case Study: From Alert to Root Cause

The Incident: GET /api/orders/{id}/status is returning 500 errors for ~25% of requests.

02:48 AM | The Alert PagerDuty triggers: HIGH ERROR RATE in order-service.

  • Endpoint: GET /api/orders/{id}/status
  • Error Rate: 23% (847 failures / 10 min)

02:49 AM | Scouting HyperProbe analyzes the trace chain: GET /api/orders/{id}/status \rightarrow GET payment-service/api/getPaymentsByOrder/{orderId} \rightarrow 404 Not Found. Observation: Payments exist in the gateway but are missing from the internal system.

02:50 AM | Probe Placement HyperProbe identifies that payments are recorded via a webhook. It places a virtual breakpoint at /src/api/webhooks.ts on line 78.

  • Status: Non-blocking | Read-only | No redeploy

02:51 AM | Bug Found The snapshot captures the live request:

// Live snapshot · webhooks.ts:78 · captured 02:50:14 UTC
{
  status: "PENDING", // <--- The culprit: Gateway sent PENDING, but no handler exists
  duplicate: null,   // First time seen, passes through
  db_insert: false,  // Never called
  redis_set: true    // Called anyway; payment is now locked out permanently
}

Root Cause: The payment gateway started sending a PENDING status that the code was not programmed to handle.


💰 Pricing Plans

FeatureFreeProfessionalEnterprise
Price$0 Forever99/service/mo(99/service/mo (79 annual)Custom Annual
Service Limit1 ServiceUnlimitedUnlimited
DeploymentManaged CloudManaged CloudSelf-hosted / Private VPC
HistoryBasic30-day capture historyCustom PII Redaction
AccessSingle Agent PromptShared WorkspaceRBAC & Approval Gates
MinimumN/A3 service minimumN/A

Note: Your first incident is worked for free. No seat counts, no host counts, and no capture limits.


🎯 Is HyperProbe for You?

You should use HyperProbe if:

  • You remember a specific night where you spent 3 hours in a war room for a one-line fix.
  • Your most expensive hires are spending their time as an on-call team rather than a product team.
  • You are tired of "guessing" the fix because you lack the exact variable state at the moment of failure.

The Goal: You will see a confirmed root cause before the incident call even ends—or you'll realize there is nothing left to discuss.

HyperProbe Demo

Ready to stop guessing? \rightarrow [Book a Demo]