Explore 485+ AI Developers
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Trickle
Trickle, Inc. is a New York-based software company pioneering the vibe coding movement—a revolutionary approach to software development that enables anyone to build production-ready web applications through natural language and visual collaboration with AI. Their flagship product, Magic Canvas, represents what they call the GUI moment for agents, transforming AI-assisted development from command-line style chat interfaces into an intuitive, visual workspace where humans and AI co-create side by side. Trickle's mission is to democratize software creation by making it accessible to founders, designers, marketers, and non-technical creators who need to build real, functional tools quickly.
AI Backends
AI Backends develops and maintains a self-hosted, open-source API server that unifies access to multiple LLM providers and local inference runtimes. The project is maintained via GitHub and provides quick-start examples, demo videos, and deployment guidance for developers and businesses. The maintainer offers enterprise deployment assistance and configuration support for production adoption.
Profound
Profound builds a platform that helps brands monitor and improve their visibility across AI answer engines. The company delivers analytics, agent-level visibility, and workflow automation to help marketing and PR teams create AI-optimized content. Profound provides enterprise features including SOC 2 Type II compliance, SSO, and dedicated support and integrations.
Inngest Inc.
Inngest builds a durable execution and orchestration platform for workflows and AI agents. The team develops SDKs, a local developer CLI, and cloud deployment tooling that let engineering teams iterate quickly and ship reliable, observable workflows. Inngest focuses on fault-tolerance, flow control, and enterprise-grade security to support high-throughput production workloads.
Meticulous
Meticulous builds an AI-driven testing platform that automatically records user sessions and generates visual end-to-end tests to catch regressions before merge. The team combines distributed systems and browser engineering to deliver deterministic, high-speed replay across thousands of screens. Meticulous focuses on eliminating flaky tests and reducing test maintenance by continuously adapting the test suite as the application evolves.
LMNT
LMNT builds low-latency, lifelike AI speech tools for developers and media creators. The team ships a streaming text-to-speech API with fast voice cloning and broad language support, focused on integrations for conversational apps and content workflows. LMNT emphasizes developer experience with a public playground, API docs, and scalable commercial plans.
Middleware
Middleware builds a full-stack observability platform that unifies logs, metrics, traces, RUM, and synthetic testing and augments operations with AI-driven remediation. The team includes engineers from Netflix, Google, DigitalOcean, and other cloud-native companies and focuses on scalable, cost-efficient telemetry ingestion and analysis. Middleware emphasizes open-source components, Otel-based agents, and enterprise-grade security and compliance.
Replicate
Replicate builds a developer platform that makes models available as production-ready APIs and infrastructure. The team of engineers and researchers focuses on fast, reliable API design and scalable ML infrastructure. They provide SDKs, tooling to package and deploy models, and billing tied to the hardware used to run models. Replicate builds in public and supports community-contributed models alongside private deployments.
Deep Infra
Deep Infra builds low-latency, cost-efficient inference infrastructure and developer APIs for running modern machine learning models. The team brings experience building production-grade, scalable infrastructure and offers both hosted models and private deployments on dedicated GPUs. Deep Infra focuses on secure, compliant operations and easy developer integration through OpenAI-compatible endpoints and SDKs.
Factory
Factory builds an agent-native platform that embeds autonomous software development agents into IDEs, the web, and CI/CD to automate engineering tasks. The team includes engineers from Nuro, Glean, Applied Intuition, Scale AI, and MongoDB and focuses on integrating agents directly into developer workflows. Factory emphasizes enterprise-grade security, multi-model support, and extensible integrations to meet team and compliance needs.
Scale AI
Scale AI builds enterprise-grade data and evaluation platforms that power model development, fine-tuning, and deployment. The team combines expertise in data operations, ML systems, and safety to deliver managed labeling, evaluation, and RLHF workflows. Scale works with enterprises and government customers to operationalize reliable, auditable AI pipelines.
Aiden Bai
**Aiden Bai** is a developer tools entrepreneur and open-source creator building **Same**, a platform that enables anyone to build fullstack web apps through natural language prompts. Known for his work in the React ecosystem, Aiden created **Million.js** at age 16—a high-performance React replacement that gained significant traction in the developer community. He later developed **React Scan** and **React Grab**, tools that enhance the React development experience and bridge the gap between visual interfaces and AI coding assistants. His open-source projects have collectively earned over 40,000+ stars on GitHub. Aiden's focus is on making web development more accessible through AI-powered tools and improving developer experience through innovative tooling. He specializes in growing developer-focused products and building tools that simplify complex development workflows.
Loyal
Loyal builds a decentralized, privacy-preserving intelligence network that uses hardware-attested TEEs, a marketplace/registry of service agents, and on-chain settlement via Solana PDAs. The team publishes source code, emphasizes reproducible builds and attestation, and ships SDKs for builders.
BrowserOS
BrowserOS builds an open-source, agentic browser that automates web tasks using natural language and supports local and cloud LLMs. The team develops privacy-first tooling and connectors that integrate common productivity apps. The project is community-driven, open-source, and backed by Y Combinator. They maintain an active GitHub repository and community channels for contributions and support.
Confident AI
Confident AI builds the Confident AI platform and DeepEval to help teams quality-assure LLM applications. The team includes the creators of DeepEval and engineers focused on developer-first workflows, evaluation metrics, and observability. They publish open-source DeepEval and provide a hosted platform with enterprise features like on-prem deployment, HIPAA and SOC II compliance. Confident AI supports integrations via APIs and detailed documentation to accelerate evaluation adoption.
Galileo
Galileo builds an end-to-end GenAI Studio that centers reliability for production AI systems through evaluation, observability, and real-time protection. The team includes founders and engineers with backgrounds in large language models, speech recognition, and production AI systems from companies like Google and Uber. Galileo focuses on combining research-backed guardrail metrics with low-latency evaluators and developer-friendly SDKs to help teams ship safer AI.
Patronus AI, Inc.
Patronus AI builds an automated evaluation and monitoring platform for generative AI systems, focusing on LLMs and agents. The team publishes evaluation models and benchmarks and builds SDKs to integrate evaluation into development and production workflows. They emphasize research-driven evaluators and offer cloud and on-prem options for enterprise security.
The Browser Company
The Browser Company is a New York-based software company founded in 2019 that reimagines how we interact with the internet. The team first launched Arc, a browser that challenged the status quo of web browsing with its focus on personalization, creativity, and making the internet feel more like home. Now they're building Dia, an AI-native browser that continues their mission to push browsers forward beyond the paradigms established 15 years ago. With 51-200 employees, The Browser Company operates with a distinct philosophy: show up with heartfelt intensity, start with "what could be?", assume you don't know, stay on the hook for the team, and above all, make people feel something through the software they build. The company's approach is deeply human-centered, emphasizing that software should be an emotional exchange—a gift that carries the fingerprints of people who genuinely cared. Rather than chasing hard-boiled narratives of progress, they create browsers that are personal, focused, fun, and playful, carving out space for the web to feel less like software and more like a place where people can feel at home. Their work is driven by the belief that the web browser is one of the most important tools in modern life, and it deserves to evolve with the same thoughtfulness and craft that defines their roadtrip-inspired company culture.
Fellou
Fellou builds an agentic AI browser that automates complex web and desktop workflows and delivers traceable research reports. The team publishes an open framework (Eko) for developers to create intervenable agents and custom automations. Fellou emphasizes user control, allowing review and real-time intervention at every step of agent execution.
Opera
Opera builds the Neon browser to bring agentic AI directly into the web experience, automating tasks and surfacing contextual results. The team leverages Opera’s decades of browser innovation to combine practical AI workflows with built-in privacy tools. Opera focuses on delivering outcomes users can act on while maintaining control over data and agent behavior.
Wavebox (Bookry Ltd)
Wavebox builds a Chromium-based productivity browser that organizes web apps, tabs and workflows for professionals and teams. The team focuses on web and AI-driven features, integrating page-context AI (Brainbox) and deep app integrations. Wavebox prioritizes privacy, no-tracking policies, and offers a remotely managed Teams browser for centralized deployment.
SigmaOS-Inc.
SigmaOS builds a productivity-first web browser focused on organizing work and reducing distraction. The team develops a native macOS app using SwiftUI and WebKit to optimize performance and battery life on Apple Silicon. They integrate LLM-powered features such as the Airis assistant and A1Kit engine to provide contextual summaries and search across open pages. SigmaOS maintains documentation and an active community for feedback and support.
Mastra
Mastra builds a TypeScript-native AI framework and cloud platform that helps developers prototype and productionize agents and workflows. The team ships a developer SDK, CLI, templates, and a cloud product with observability and tracing. The company focuses on developer ergonomics, unified provider access, and durable workflows for real-world AI applications.
Andrej Karpathy
Andrej Karpathy publishes open-source machine learning demos and educational projects focused on deep learning and practical implementation. He builds compact, example-driven repositories that help developers learn by reading and running working code. His work emphasizes clarity and hands-on experimentation with modern ML models.