Struct is an AI agent that root-causes engineering alerts using logs, metrics, traces, and code. Resolve incidents faster with a composable, customizable system that deploys in minutes and works with your existing DevOps workflows.
We're Deepan and Nimesh, co-founders of Struct. Today we're excited to launch the on-call agent every team deserves -- for free!
If you've been on-call, you know the drill: alert fires, you open Datadog (or Grafana, or whatever), hunt for spikes, grep through logs and code, loop in a senior engineer...rinse & repeat. Meanwhile, noisy alerts never get tuned and customer issues slip through.
Struct gets you from alert → root cause before you even open your laptop.
Within minutes of an alert firing, Struct:
✅ Pulls relevant metrics, logs, traces, monitors, and code
✅ Does a regression analysis and correlates anomalies and spikes
✅ Replies with with a root cause, impact summary, and pattern analysis
✅ Drafts a full incident report with dynamically generated charts, timelines, and commit histories
Dive deeper in Slack or our app. Or handoff the full context to your favorite coding agent to ship a fix in one-click.
We built Struct for lean teams without an SRE, and orgs going all-in on AI dev workflows — companies like FERMAT and Arcana already use Struct to auto-investigate thousands of alerts monthly and give every engineer the context to handle incidents on their own.
Five minute set up, integrates with every leading observability platform plus Slack, GitHub, Linear, Claude Code, and fully SOC 2 Type II and HIPAA compliant.
Get started free at struct.ai — no credit card required.
Questions? Hit us in the comments - we'll be around all day. Or shoot us an email at [email protected].
And as a special thanks to the Product Hunt community, if you upgrade to a paid plan, use promo code HUNTSTRUCT for 20% off for the next 3 months! 🔥
As someone who's woken up to countless night pages, I really like the trajectory of the product. I usually find that the most difficult issues are the ones not clearly traceable through logs or code. These require deeper understanding of the system infra and the relation between services. Plus, in practice you'll never have logging available for every situation.
I'm curious whether Struct is able to analyze and correlate between different metrics/dashboards/graphs for issues that are not apparent from log dives.
Congrats! The gap between vibe-debugging and vibe-coding is massive and this is extremely needed
Is there a way to communicate “tribal knowledge” to the agent so that it can do more informed investigations?
Very cool congrats! Would love to hear about the long-term vision for the product!
Great product, really want to see what it look like. I'm not really good at tech but wanna try this. Do you think this product can compete with others?
Out of curiosity I ran struct.ai through a Trust Score analysis.
Overall score: 54 (slightly above the platform average of 51.4) — so not bad.
Areas that may affect trust perception • Authority & credibility — 2.5/10 • Social proof — 3.0/10 • Community engagement — 1.4/10
So technically the site is solid, but adding stronger credibility signals (testimonials, founder presence, user numbers, logos, etc.) could improve perceived trust a lot.
Hi, quick question, does it integrate with Vercel logs directly?
For context, I'm currently working on a project which I will launch here soon, and I wouldn't like to spend on Splunk or Datadog for now.
As someone who runs a production SaaS on Render with Sentry for error tracking, the alert-to-root-cause gap is real. I've spent more time correlating Sentry exceptions with Render logs and Supabase query patterns than I'd like to admit.
The fact that it drafts incident reports with timelines and commit histories is the part that caught my attention. That's usually the thing that gets skipped because everyone's too relieved the fire is out.
Does it work with Sentry as an observability source, or is it primarily geared toward Datadog/Grafana-style platforms?
We have been using Struct at Lekondo and its ability to understand the codebase and find actual bugs based on errors and alerts has been really impressive!
Congrats on your launch guys! Can you share any creative ways you've seen teams get value from Struct, or ways that surprised you?
Congrats @deepan_m and @nimeshmc! We've been piloting Struct for the past couple months. It's been fun working alongside them and watching the product transform.
We’ve been early users and using Struct for our Eng alerts channel. It’s a game changer for quickly getting to the bottom of issues, especially when time is tight on an urgent issue. It’s helped on several issues to quickly rule out things that the on call engineer would have had to manually check. The team is also really receptive to feedback and iterates quickly. Give Struct a try!
I wish I had this years ago! Congrats on the launch guys, this will be an incredibly useful tool for teams of all sizes. Excited to see where you take it.
Excited for this launch, we've been in Structs alpha, very impressed with Nimesh and Deepan, and Struct's capabilities. Its now my go to to triage alerts that are complex and stateful. Its a key piece of our infrastructure at Fermat as shipping velocity increases rapidly with coding agents.
Great team!! I still remember the all-nighters we pulled dealing with both sides of the problem: noisy alerts and critical ones getting missed and escalated by customers. Using Struct has been a game changer!
Hey Hunters!
We're Deepan and Nimesh, co-founders of Struct. Today we're excited to launch the on-call agent every team deserves -- for free!
If you've been on-call, you know the drill: alert fires, you open Datadog (or Grafana, or whatever), hunt for spikes, grep through logs and code, loop in a senior engineer...rinse & repeat. Meanwhile, noisy alerts never get tuned and customer issues slip through.
Struct gets you from alert → root cause before you even open your laptop.
Within minutes of an alert firing, Struct:
✅ Pulls relevant metrics, logs, traces, monitors, and code
✅ Does a regression analysis and correlates anomalies and spikes
✅ Replies with with a root cause, impact summary, and pattern analysis
✅ Drafts a full incident report with dynamically generated charts, timelines, and commit histories
Dive deeper in Slack or our app. Or handoff the full context to your favorite coding agent to ship a fix in one-click.
We built Struct for lean teams without an SRE, and orgs going all-in on AI dev workflows — companies like FERMAT and Arcana already use Struct to auto-investigate thousands of alerts monthly and give every engineer the context to handle incidents on their own.
Five minute set up, integrates with every leading observability platform plus Slack, GitHub, Linear, Claude Code, and fully SOC 2 Type II and HIPAA compliant.
Get started free at struct.ai — no credit card required.
Questions? Hit us in the comments - we'll be around all day. Or shoot us an email at [email protected].
And as a special thanks to the Product Hunt community, if you upgrade to a paid plan, use promo code HUNTSTRUCT for 20% off for the next 3 months! 🔥