Sonarly
Winter 2026 NewMakes software self-healing
We want software to improve itself. Sonarly connects to your monitoring stack - tools like Sentry, Datadog, and Grafana - and triages every alert to remove noise and duplicates. It then investigates logs, traces, metrics, and code to build a living map of your production system and find root cause. The result is either a ready-to-merge fix PR or a recommendation to update your alerting rules so the noise never comes back.
AI Investor Summary
Sonarly is building an AI agent that automatically triages and fixes production software bugs, reducing alert noise and downtime. Founded by ex-Google/Meta engineers with prior startup success, they leverage deep technical expertise to create a 'living map' of production systems for root cause analysis and automated remediation. The large, growing market for developer productivity and AIOps presents a significant opportunity.
Key Highlights
- ● Founders with strong prior startup experience and impressive technical pedigrees from top tech companies and universities.
- ● Addresses a significant pain point in software development and operations with a compelling AI-driven solution.
- ● Potential for a strong technical moat through sophisticated AI models and system mapping capabilities.
Risk Factors
- ● The complexity of building truly reliable self-healing software is immense, requiring sophisticated AI and deep understanding of diverse system architectures.
- ● Market adoption may be slow if the perceived reliability and accuracy of the AI fixes are not consistently high.
- ● Competition from established players in the AIOps space and other AI-powered developer tools will intensify.
Founders
Two years ago, I moved from a random village in France to Paris to study CS. I started building my first startup with Alex and we scaled it to 100k+ users in 6 months. It's funny because it was the Duolingo for finding schools and it made us drop out. Now we're building Sonarly (YC W26), giving coding agents the context they need to fix production bugs automatically.
I started freelancing at 15 doing web scraping, then quickly became a full-stack developer and later an AI engineer training ML and deep learning models. I dropped out of computer science school to co-found Meoria, a career-guidance app that helped over 100,000 French students navigate Parcoursup but the market moved too slow for our ambition. Now I’m building Sonarly: the platform that instantly detects and fixes production bugs before your users ever notice them.
Score Breakdown
Dimittri and Alexandre are exceptional founders. Their prior startup success (scaling to 100k+ users quickly) demonstrates execution capability. Their backgrounds at Google, Microsoft, and Meta, combined with top-tier education from Waterloo and École Polytechnique, showcase significant technical depth and experience in relevant domains. The founder-market fit is strong, addressing a pain point they've likely experienced. [Boost +2.5: Founder from Google; Repeat YC founder; Founder from Google]
The market for AIOps and developer productivity tools is massive and growing rapidly. Companies are increasingly reliant on complex software systems, leading to a proliferation of alerts and a significant burden on engineering teams. The timing is opportune as AI agents become more capable and companies are actively seeking solutions to automate operational tasks. Competition exists, but the specific approach of self-healing software is a compelling differentiator.
The product's core technical differentiation lies in its ability to build a 'living map' of production systems and use this context to not only triage alerts but also identify root causes and generate fixes. This goes beyond simple alert deduplication. The integration with existing monitoring stacks is a smart approach to adoption. The defensibility will come from the sophistication of the AI models and the breadth of data they can effectively process. UX quality is yet to be fully assessed at this early stage.
Traction is very early stage, as expected for a Winter 2026 YC batch. The HN launch and positive press coverage are good initial signals of interest and validation. However, concrete revenue or user numbers are not yet available, which is typical for this stage. Partnerships and further investor interest will be key to monitor.
News
Sonarly, an AI engineer for production, connects to observability tools to triage issues and fix them, aiming to reduce Mean Time To Repair (MTTR) by filtering noise and providing root cause analysis.
Sonarly has launched its AI engineer product, which connects to production stacks to triage alerts, investigate root causes, and automatically ship fixes, aiming to reduce the cost of Mean Time To Repair (MTTR).
Sonarly, a company focused on AI for big data and software services, has joined the Y Combinator Winter 2026 cohort.
Sonarly, a Y Combinator Winter 2026 startup, has launched an AI agent designed to triage and fix production alerts, aiming to automate initial responses to system alerts and streamline operations.
Sonarly is developing an AI engineer that connects to monitoring stacks to triage alerts, investigate root causes, and provide automated fixes or recommendations to improve alerting rules.
The Agent Times reports on the launch of Sonarly, a Y Combinator Winter 2026 startup, which offers an AI agent designed to triage and fix production alerts.
Sonarly, a Y Combinator Winter 2026 startup, has launched an AI engineer that automatically triages production alerts, investigates root causes, and fixes bugs in the background by connecting to tools like Sentry and Datadog.
Sonarly, a Y Combinator Winter 2026 startup, has raised $500K in a Seed round from Y Combinator on January 1, 2026.
Sonarly, a Y Combinator Winter 2026 startup, has launched an AI agent designed to triage and fix production alerts, aiming to automate the initial response to system alerts.
Sonarly, a Y Combinator Winter 2026 startup, has launched an AI agent that connects to observability tools to triage issues, analyze root causes, and automatically fix bugs, aiming to reduce Mean Time To Repair (MTTR).
Quick Info
- Batch
- Winter 2026
- Team Size
- 2
- Location
- Unspecified
- Founders
- 2
- Scraped
- 4/10/2026