Developer Tools Startups funded by Y Combinator (YC) 2026

GitLab is the first single application for the entire DevOps lifecycle. Only GitLab enables Concurrent DevOps, unlocking organizations from the constraints of today’s toolchain. GitLab provides unmatched visibility, radical new levels of efficiency and comprehensive governance to significantly compress the time between planning a change and monitoring its effect. This makes the software lifecycle 200% faster, radically improving the speed of business. GitLab and Concurrent DevOps collapses cycle times by driving higher efficiency across all stages of the software development lifecycle. For the first time, Product, Development, QA, Security, and Operations teams can work concurrently in a single application. There’s no need to integrate and synchronize tools, or waste time waiting for handoffs. Everyone contributes to a single conversation, instead of managing multiple threads across disparate tools. And only GitLab gives teams complete visibility across the lifecycle with a single, trusted source of data to simplify troubleshooting and drive accountability. All activity is governed by consistent controls, making security and compliance first-class citizens instead of an afterthought. Built on Open Source, GitLab leverages the community contributions of thousands of developers and millions of users to continuously deliver new DevOps innovations. More than 100,000 organizations from startups to global enterprise organizations, including Ticketmaster, Jaguar Land Rover, NASDAQ, Dish Network and Comcast trust GitLab to deliver great software at new speeds.

Our mission is to make every search interaction meaningful & rewarding, through developer-friendly and enterprise-grade APIs. Algolia is the leading Search & Discovery API for websites and mobile apps. We help the most innovative companies across e-commerce, media and SaaS industries create powerful, relevant and scalable discovery experiences for their users. Unlike other solutions, our hosted platform reduces the complexities of building and scaling a fast, relevant digital experience and helps teams accelerate development time. More than 9,000 companies like Under Armour, Twitch, Periscope, Medium and Stripe rely on Algolia to manage 50+ billion search queries a month. Founded in 2012, we're backed by $184M in funding from Accel Partners, Alven Capital, Point Nine Capital and Storm Ventures. The team is headquartered in San Francisco with offices in Paris, London, New York, and Atlanta. To learn more, visit www.algolia.com. --- We’re looking for talented, passionate people to build the world’s best search technology. As an ownership-driven company, we seek team members who thrive under autonomy and diversity. We're committed to building an inclusive and diverse workplace. We care about each other and the world around us, and embrace talented people regardless of their race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability and socioeconomic background

Since graduating from YC, Amplitude (W12) has made it to IPO and beyond by helping cutting edge startups become category leaders. We’ve pioneered the digital analytics category to become the go-to solution for AI pioneers (Cruise, Midjourney), apps that touch millions of consumers (Doordash, Coinbase), and the best in B2B (Atlassian, Rippling, Canva). With product analytics, experiment, CDP, session replay, and more, Amplitude’s digital analytics platform shows you what your users love, where they’re getting stuck, and what keeps them coming back. You want to build a generational business, and we have the capabilities and pricing plans to guide you every step of the way. Check out our special deal for YC companies and get started on your analytics journey.

If your team uses Cursor, Claude Code, or Codex to ship, you've felt it: the AI is great at writing code, mediocre at debugging it. When something breaks in prod, you're back to grepping logs, adding console.logs, redeploying, and hoping the AI's guess is right. HyperProbe fixes this. Your coding agent dynamically drops non-breaking probes into your running services, straight from your IDE. When a probe fires, HyperProbe captures and sanitises the exact variable state, feeding your agent real evidence instead of flat logs. This fixes prod incidents in minutes from the exact same window where agents write code, without ever redeploying to add a print statement. Under 1% CPU overhead. Automatic PII redaction. Built for backend teams shipping AI-written code today. Install in 60 seconds, see your first investigation in 10 minutes. That's why we call HyperProbe the runtime data layer for AI-native software.

We are building the identity and communication layer for AI agents: giving agents their own email, phone, iMessage, and internet address. Every interaction flows through Inkbox, so agents are enhanced with multi-channel context.

Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary. The people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance. Prized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. As an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns. Hudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.

Simantic is modernizing the embedded firmware industry with hardware simulation developed for the adoption of AI in hardware engineering. Simantic gives both humans and AI the visibility into hardware previously limited by the physical world.

Coasty is a computer use agent that does real work inside softwares, companies already run. New web apps, old desktop tools, the legacy systems nobody wants to touch. You hand it a workflow and it owns the outcome. Most agents demo well and break the moment they hit real software. They get 18 steps out of 20 right, misclick once, and everything after is garbage. Coasty catches when it goes off track and fixes itself mid-task instead of starting over. It handles the messy parts, benchmarks never show. Permission dialogs, surprise pop-ups, a modal that steals focus, a page that loads slow. When a vendor pushes an overnight update and moves half the menus, brittle scripts break by morning. Coasty reads the screen instead of recording clicks, so it adapts and keeps going. It also checks its own output and leaves a time-stamped trail you can replay. We won't pretend it gets every task right. Nothing automating this work does. What matters is what happens when something breaks. It catches the mistake, fixes what it can, and flags what it can't so a person can step in. Nothing fails quietly. That's what lets a team trust it on the work where a silent error gets someone fired. We scored 82% on OSWorld, which puts us among the most reliable agents out there. Reliability is the whole product, not a feature.

Linzumi is the chat your engineering team uses to direct dozens of AI coding agents. Kick off work, review it, ship it. All from chat. See every agent's work. Unblock the agents that need you from your laptop, your phone, the coffee line. Your teammates see it too. Every decision your team makes compiles into a source of truth - what to build, why it changed, how your agents should act. That same source generates new work and verifies completed work. Deliberative alignment, repurposed from aligning LLMs to aligning companies.

machine0 is a CLI that lets you create, provision, and snapshot cloud VMs. `machine0 new my-vm` spins up a VM with dedicated CPU, RAM, and optional GPUs, plus a static IP and HTTPS endpoint. The tools agents need (e.g. Node, Python, Docker) and the agents themselves (e.g. Claude Code, Codex, OpenClaw, Hermes) come pre-installed. 99.99% VM uptime SLA across four regions. Agent workloads are moving from ephemeral to always-on. A coding agent debugging a complex issue runs 4-8 hours. OpenClaw runs 24/7. machine0 is the environment in which these agents run.

Zenbu is an extensible IDE for orchestrating coding agents. Shape it around exactly how you and your team work.

Modern AI agents can send emails, change code repos, and talk with external APIs. Archal verifies your agent takes the right actions, and opens a fix PR when it doesn't.

Inth helps fast-moving software teams prevent privacy failures before they reach production. Privacy risk no longer lives in policy docs, dashboards, and questionnaires. It lives in code: consent flows, data deletion, vendors, logs, AI systems, and agent-written changes that move user data every day. Inth starts with c15t, an open-source consent and privacy SDK with 3M+ npm downloads, used by teams like Zed, Infisical, and Expo. From there, Inth expands into code-native workflows for consent management, data subject requests, policy enforcement, vendor oversight, and audit-ready evidence. We make privacy governance programmable, observable, and compliant by default.

Glue is an open source design editor for AI agents. It gives coding agents an infinite canvas to create new interfaces, iterate on existing ones, and turn those changes into production-ready code all in real time. The rise of coding agents is collapsing EPD into one role: builders. This new paradigm means design and engineering can now converge to a single workflow. Builders no longer want static mockups in one tool, and implementation in another. Glue is a collaborative workspace where builders and agents can create new components, iterate on existing interfaces, and implement as code. The same tight feedback loop that once made Figma powerful for designers is now built for builders and their armies of agents. Being open source allows us to penetrate workflows at zero cost and build trust quickly. Right now there are no design tools with AI as the primary user. Existing tools bolt on copilots as an afterthought. Soon, every company will have AI agents building their interfaces. We are building the surface for this workflow.

Superset is an open-source IDE that helps engineers run 100s of coding agents in parallel. Our desktop app is loved by tens of thousands of engineers, and we're scaling out our effort to build a collaborative, cross-platform tool to allow users to code anywhere.

AI SRE agents that automatically learn each customer’s system so they work just like an in-house engineer.

Your agent processed a refund without looking up the order ID, costing you thousands. You only found out three hours later from a support ticket. Evals, output scoring, and observability can reduce the likelihood of mistakes like these occurring - but there's no solution that inspects and prevents an action as it’s about to execute. Salus does that. We’ve built an API that wraps around your agent and checks its actions at run time, blocking incorrect ones and providing immediate feedback to guide retries. Kevin and Vedant were roommates at Stanford, where they both studied computer science.

Corelayer is the AI-native platform for production software support, built for data-heavy, regulated industries like finance and healthcare. It continuously monitors alerts, logs, infrastructure, and underlying data for issues and uses agents to debug and suggest fixes. We're helping teams at companies ranging from growth-stage fintechs to S&P 500 financial institutions spend less time on support and more on high-leverage work.

A Coast (containerized host) is a local development runtime. Coasts let you run multiple isolated environments for the same project on one machine. As AI coding agents increasingly work in parallel across git worktrees, developers hit painful conflicts — clashing ports, duplicated databases, and fragile per-branch setup. Coasts solve this by giving each worktree its own fully isolated runtime, so multiple agents can build and test side by side without stepping on each other.

Sol is a browser where developers can orchestrate agents from their tabs. Ship 100x from a single place where agents can see, navigate, and act on your workspace.

Lemma catches the silent, semantic failures your observability tools miss, where your AI agent looks like it worked but didn’t. We scan every trace to surface issues before users complain, identify root causes, and help you fix them without manual digging, so your agents improve over time.

Parse lets developers build APIs for any website. Unlike traditional scraping tools that rely on slow, expensive headless browsers, Parse examines websites' underlying network requests and generates API endpoints automatically. This makes Parse 10-100x faster and cheaper than browser automation,.

Moss is building the real-time semantic search runtime for conversational and multimodal AI. Our system enables voice agents, copilots, and chat interfaces to retrieve, reason, and respond in sub-10 ms, delivering the responsiveness that makes AI interactions feel truly natural. If you’ve ever built a conversational or voice AI product, you’ve felt the lag. That moment when an agent pauses and the illusion of intelligence breaks. The bottleneck is almost always retrieval. Each query hops across networks and databases, adding delay and cost. Moss eliminates that gap by keeping retrieval close to where the agent runs. Moss runs natively across browsers, mobile devices, and servers with an optimized vector index built in Rust and WebAssembly. It enables teams to build AI products that feel instant, contextual, and adaptive. The experiences that sustain engagement and unlock new kinds of interaction. For our customers, this translates into tangible business value: stronger user retention, higher conversion, and entirely new product categories made possible by real-time understanding. Moss is already powering production pilots across voice AI and developer platforms, achieving sub-10 ms retrieval and 70–90% token savings compared to traditional pipelines.

free codegen from brainrot workflows in your IDE.

Kestrel is the AI automation layer for platform engineering teams. Platform teams use Kestrel to automate incident response, cloud provisioning, CI/CD, security, and developer requests across their stack. Kestrel turns natural-language prompts into deterministic, production-ready workflows with 25+ integrations, 140+ pre-built actions, and support for custom HTTP and webhook actions. Developer-first, with a CLI, Python SDK, and MCP server to manage workflows from where platform teams already work.

Compyle is a less autonomous coding agent that asks before it acts. We're like Cursor or Claude Code - but you won't need to rewrite your codebase every time you use it for more than a small task. We built Compyle because we were frustrated with the direction other coding agents are headed. They're all racing to be more autonomous, running for hours without human input. This doesn't work for real production code. When agents run autonomously, they make countless small decisions that pile up in your codebase. Engineers lose ownership - they don't know what was implemented, can't effectively debug or maintain it, and struggle to build on top of it. The code becomes a black box, and they're forced to throw it away. Compyle keeps engineers in the driver's seat.

Fastshot is a no-code mobile development platform. Our mission is to "Democratize mobile app creation with AI" Anyone can develop a mobile app from idea to App Stores within minutes just by chatting with AI.

Understand user patterns and find silent failures in your AI agents. The Context Company helps teams analyze AI agent conversations to surface user behavior patterns, performance trends, and moments where agents struggle - so teams know what’s working, what’s not, and what to improve next. We turn raw conversations into structured signals: topic clustering, user feedback analysis, custom pattern tracking, and alerts. All alongside traditional observability like traces, tool calls, latency, and costs. Get started in less than 10 lines of code.

Sourcebot is an open source code understanding platform for massive codebases. We’re used by thousands of engineers in some of the largest companies in the world, including NVIDIA, Red Hat, Wikimedia, and Arista Networks. Understanding code, not writing it, is the primary bottleneck for large engineering teams. For developers, this means onboarding onto complex codebases faster. For AI agents, it means getting the necessary code context to minimize hallucinations and maximize cohesion within the wider codebase. Sourcebot solves this by giving developers and AI agents the ability to regex search across millions of lines of code instantly, as well as ask questions across thousands of repos using any flagship reasoning model. Being open source and on-prem, we can get deployed in enterprises within minutes before other tools even get approval. We met a decade ago at McGill University and have been building together full time for over 2 years. We’ve personally felt the pain of understanding large codebases while working at Microsoft, EA, Ubisoft, Google, and Meta.

We let developers deploy AI agents as API endpoints with built-in tools, sandboxes, and durable execution. Agents maintain state, run long-lived workflows, and handle retries automatically.

S2 is an API for durable streams. We make working with streaming data dead simple and reliable. The more we worked on data systems, the more we felt like there was a missing building block. The seamless experience of object storage simply did not exist for durable streams – so we set out to fix that! S2 reimagines streams as an unlimited and access-controlled web resource. Like if Kafka and S3 had a baby. - Building agents? Use granular streams to persist context in real time, make workflows auditable, and coordinate between agents. - Publishing fast-moving data? Streams support high fanout and can be accessed directly over the internet, so they are a great fit for broadcasting real-time feeds. - Sandboxing? Emit to per-instance streams, and read history or live events just as easily. - Local-first and multiplayer experiences? Propagate updates reliably and efficiently. Stop dealing with clusters, and start streaming.

Specific lets your coding agent write code and build the infrastructure to deploy it. Connect your favorite coding agent and start building immediately. Run `specific dev` to get a full local environment running in seconds. Run `specific deploy` to go to production on our scalable cloud platform in minutes.

The fastest persistent computer for agents. Host long-running, stateful agents that never sleep in <250ms.

Lark lets teams write end-to-end tests in plain English. Validate dashboards, APIs, SDKs, and full product flows without maintaining fragile test code. Run continuously on feature branches, in CI, or in production.

For our first product, we built Rao: an AI coding assistant into RStudio — an IDE used by up to 5 million data scientists and statisticians who use the R programming language to analyze data. Rao could read, write, and edit code while understanding the user's context (codebase and environmental variables).

Omnara brings Claude Code and Codex to your phone. Start a coding session on your desktop, then seamlessly hand off to mobile and keep building whether you're commuting, traveling, or away from your desk. Code in local or remote environments with full context preservation across devices. Plus, use voice to code hands-free by having natural conversations with Omnara to build, debug, and ship from anywhere.

Kernel is crazy fast, open source infra for AI agents to access the internet 🧠🕸️ - Built on unikernels for crazy fast cold starts and low resource usage - Sub-150ms cold starts on managed headful browsers - Built-in stealth mode with residential proxies and automatic CAPTCHA solving - Full observability: session recording, live view, and full logs - Persistent sessions that maintain cookies and auth across invocations - Native support for all browser and computer use frameworks - SOC 2 compliant and HIPAA-ready Trusted by Cash App, Rye, and 1000+ others. Backed by Accel & Y Combinator (S25).

VibeFlow is the AI content manager for startups. Anyone can build a company in a weekend now, but nobody knows how to distribute it. Existing AI tools spit out generic, off-brand content you can't really use. VibeFlow learns your brand, voice, and goals, then autonomously creates on-brand, tailored posts (with visuals) ready to publish. VibeFlow is the AI growth engine that turns ideas into distribution.

Manufact is the MCP cloud platform to get your product ready for Claude Connectors marketplace, ChatGPT App Store and any AI agent that supports MCP. We're the team behind mcp-use SDK, the open-source framework for building MCP Apps with 10k github stars and 8M+ downloads across python and typescript. It's the fastest and most complete solution for production-ready MCP servers.

You built the demo in a weekend. Now you need auth, a prod-grade database, real-time events, AI observability, cron jobs, email, monitoring… and you needed them yesterday. We spent a decade at our previous startup, building a $500M platform while scaling to millions of users and customers like Meta & Netflix. Now we're standardizing how web applications are built with an open-source framework and AI App Builder, so non developers can build reliable production apps and not just prototypes. Modelence is a batteries-included platform with a dedicated web app framework that's designed for building production grade apps with AI, abstracting away the standard building blocks: - Authentication - Database - Hosting - AI integration - Cron jobs - Live / real-time data - Email integration - Monitoring Most AI app builders just stitch together multiple services and existing frameworks. The reliability drops hard because integrations between different parts break. Modelence defines a single full-stack framework with dedicated cloud infrastructure, where these integrations are already built into the framework and don't need to be built for every app.

Nottelabs offers a platform to build and deploy enterprise-grade browser agents. We help companies cut costs and save time by automating repetitive tasks. Unlike others, we provide agents, tools, and infrastructure through a single API, making us the fastest path to reliable web AI agents in production.

Alter is a zero-trust identity and access control platform purpose-built for AI agents. It wraps every tool call in strong authentication, fine-grained authorization, and real-time guardrails, so agents can move fast without breaking things. Each request is verified at the parameter level, authorized against granular policies, executed with least-privilege access, and fully audited in real time. Unsafe actions, whether it’s a rogue DROP TABLE or a payment above policy limits, are blocked before they touch production. Behind the scenes, Alter manages credentials, issuing ephemeral, scope-narrowed access for every interaction, then rotating or expiring it in seconds. The result: no long-lived secrets, no blind spots, and no surprises in audit. With Alter, teams can move fast on AI agent initiatives while staying fully compliant with SOC 2, HIPAA, GDPR, and internal security standards. A CISO-ready dashboard delivers real-time visibility, detailed audit logs, and compliance-ready controls, removing silos, eliminating excessive permissions, and providing complete oversight of every agent workflow.

Luminal builds an ML framework and compiler that generates GPU code. Our stack 10x's model speed while simplifying deployment and cutting idle GPU costs Github: https://github.com/luminal-ai/luminal Discord: https://discord.gg/APjuwHAbGy

Embedder is building an AI coding agent that can write, test, and debug firmware on real hardware.

Check out the project: https://github.com/cactus-compute/cactus

Interfere is the experience layer for modern product teams. Detect, triage, and fix bugs automatically – no human required. Interfere finds issues in your app, understands what's happening, and owns resolution from first signal to production.

The full Claude Code experience, except it runs anywhere. From our infra to fully air-gapped in your data center.