HyperProbe
HyperProbe is an AI on-call agent that places read-only breakpoints on suspect code in production to capture live variable state and pinpoint incident root causes without redeploying anything.
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Description
When something breaks in production at 3am, the slowest part usually isn't fixing the bug — it's figuring out exactly what went wrong, which often means adding logging, redeploying, and waiting for the issue to happen again. HyperProbe skips that loop: it's an AI agent that investigates the incident live, placing safe, read-only "virtual breakpoints" on the lines of code it suspects are involved, and capturing the actual variable state at that moment without touching your deployed code.
Technically, HyperProbe attaches to running services and captures live state at suspect execution points to confirm root cause, aiming to compress incident investigation from hours down to minutes. Because the breakpoints are read-only, there's no redeploy and no risk of the debugging process itself introducing new bugs or downtime. Pricing is per-service: free for one service, $99/month (or $79/year, cheaper if billed annually) per service on the Professional tier with a 3-service minimum, and custom Enterprise pricing for larger organizations — with no caps on the number of probes, captures, seats, or hosts at any tier. It's a Y Combinator S26 company.
💬 Our review
The short version: if your team spends real time during incidents adding temporary logging and redeploying just to see what a piece of code was actually doing when it failed, HyperProbe replaces that cycle with a read-only, no-redeploy way to inspect live state, and the free single-service tier is enough to test it on a real incident before paying anything.
The honest caveat is that HyperProbe is a narrow tool solving one specific part of incident response — root cause confirmation — not a full observability platform; you'll likely still want Datadog, Honeycomb, or similar for metrics, logs, and dashboards, and a dedicated incident-management tool like Rootly or incident.io for the response workflow itself. The $99/month-per-service pricing with a 3-service minimum ($297/month minimum) is also worth weighing against how many services actually need this level of live debugging versus just your highest-incident ones.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Gratuit : 1 service. Professional : 99$/mois ou 79$/an par service (minimum 3 services, soit ~297$/mois). Enterprise : sur devis. Aucune limite de probes/captures/sièges/hôtes.
Pros
Investigation en lecture seule, sans redéploiement du code
Réduit le temps d'investigation d'incident de plusieurs heures à quelques minutes
Aucune limite de probes, captures, sièges ou hôtes, même sur le tier gratuit
Tier gratuit exploitable pour tester sur un vrai service
Cons
Outil étroit (root cause), pas une plateforme d'observabilité complète
Minimum de 3 services sur le tier payant (~297$/mois minimum)
Nécessite en complément un outil de gestion d'incidents (Rootly, incident.io)