Explore 485+ AI Developers

Page 12 of 21 showing 265-288 of 485 developers - Browse AI tool developers and discover their contributions to the AI ecosystem.

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Flox

Flox builds tools to enable reproducible development environments that span the entire software lifecycle. The team includes experienced engineers from the D. E. Shaw group and other technology leaders, focusing on enterprise-grade solutions and open source collaboration. They integrate deeply with the Nix ecosystem to provide scalable, reliable infrastructure management.

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Dinoki Labs

Dinoki Labs builds Osaurus, a local-first AI runtime optimized for Apple Silicon Macs. The team focuses on privacy, speed, and open-source development, creating tools that empower developers and creators to run AI models locally with full control.

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Anysphere, Inc.

Anysphere, Inc. makes Cursor and describes itself as an applied research lab focused on automating coding via a human–AI programmer model; its flagship is Cursor, an AI-native coding environment (desktop, web, mobile, browser, and CLI) that edits code using natural-language instructions with repo context. ### Key facts about Anysphere **Founding & team:** Founded in 2022 as a research-driven, product-shipping team by four MIT classmates: Michael Truell (CEO), Sualeh Asif, Arvid Lunnemark, and Aman Sanger. Early teammates emphasize applied research + shipping velocity. **Locations & hiring:** San Francisco and New York; active recruiting across engineering and go-to-market roles. **Growth & funding:** Widely reported 2025 round of ~$900M led by Thrive Capital (with a16z, Accel, DST) at a ~$9–9.9B valuation; rapid revenue ramp noted across multiple outlets. **Adoption & perception:** Coverage cites use at major tech companies and the rise of vibe coding; Bugbot expanded Cursor’s debugging footprint. **Public presence:** LinkedIn (hiring, large following) and Product Hunt launches (Cursor milestones) with active community engagement. ### What makes Anysphere distinctive **Research → product:** Invention at the boundary of useful/possible, shipped quickly as pragmatic developer tools (Cursor, Bugbot, Agents, CLI). **Unified surfaces:** One mission across desktop IDE, browser, mobile, and CLI with shared concepts (rules, repo context, agent workflows). **Scale & momentum:** Fast valuation and user growth documented across press and community channels.

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Memex

Memex is dedicated to empowering users to build software without coding expertise.

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DAIR.AI

DAIR.AI creates open resources and courses for AI developers and researchers, including the Prompt Engineering Guide and ML Papers of the Week.

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SWE-agent

Open-source research group behind SWE-bench, SWE-agent, and mini-SWE-agent, led by researchers from Princeton University and Stanford University.

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Simon Willison

Open-source developer and creator of Datasette and LLM; builds Python and SQLite-centric tools for data journalism and developer workflows.

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i-Genie.ai

i-Genie.ai builds an AI consumer insights platform founded by veteran insights leaders from Unilever and Coca-Cola, focused on trend detection, brand drivers, and innovation research without surveys.

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DeepKnit AI

DeepKnit AI builds AI-powered document processing and automation solutions for healthcare, legal, and business operations.

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Dream, Inc.

Dream, Inc. builds AI-native analytics and internal tools for Supabase and Postgres, offering the Dreambase SaaS plus custom engineering services.

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Cloud Campaign, Inc.

Cloud Campaign builds white-label social media management software for agencies and SaaS companies, with AI captioning, approvals, analytics, and an embeddable OEM platform.

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MoEngage, Inc.

MoEngage, Inc. is a privately held SaaS company (founded 2014) that provides an insights-led customer engagement platform with AI-driven personalization and cross-channel marketing capabilities.

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Arcada Labs

# Arcada Dev (Arcada Labs) Arcada Dev is the product studio behind **Arcada Labs** — a team building “creative environments” that turn fuzzy human traits (like taste, aesthetic judgment, and play) into something measurable. Their bet is simple: if we can’t measure what humans *prefer*, we can’t reliably improve AI that makes things for humans. --- ## What Arcada Dev builds Arcada Labs frames its work as three “arenas”: * **Taste → Design Arena** — measuring what “looks right” * **Sound → Audio Arena** — measuring what “sounds right” * **Play → (coming soon)** — measuring what “feels right” Think of these as public training grounds for subjectivity: instead of debating taste endlessly, you run controlled matchups, collect votes, and let the data tell you where models actually land. --- ## Flagship: Design Arena **[Design Arena](/tools/design-arena)** is a crowdsourced benchmark for AI-generated design — spanning real-world creative tasks (like UI/front-end design, images, audio, video, and more) and evaluating them with live, organic user feedback. ### The core mechanic (simple, but sharp) Design Arena uses blind, head-to-head tournaments: * Two model outputs face off on the same prompt/task * The model names are hidden to reduce brand bias * Users vote for the better result * Those matchups roll up into a public leaderboard ### How ranking works (in plain English) Every vote is treated like a “match.” Over many matches, Design Arena estimates how likely each model is to beat another and converts that into a rating you can compare across the field (presented in an Elo-style form). --- ## Why it exists LLMs can ace tests and proofs, but design failures are painfully human: unreadable contrast, awkward layouts, weird spacing, “technically correct” outputs that still feel wrong. Design Arena exists because there hasn’t been a standard way to pressure-test taste, usability, and aesthetics at scale. No benchmark → no consistent feedback loop → slow improvement. --- ## Traction Design Arena gained significant early adoption, drawing tens of thousands of users across well over a hundred countries within weeks of launch, and later expanding to well over a hundred thousand users worldwide. --- ## Mission & posture Arcada’s posture is refreshingly direct: * Build grounded, real-user evaluation instead of vibes and anecdotes * Make the benchmark public so progress is visible (and comparable) * Use the leaderboard as a mirror that reveals limitations, not a trophy case Design Arena also presents a strong “access” stance: tomorrow’s creative evaluation tools should be broadly available, not gated behind enterprise walls. --- ## Team Arcada Labs is led by a small founding team with deep technical roots and a shared background, including experience building at Apple. Public-facing leadership includes: * **Grace Li (CEO)** * **Kamryn Ohly (CTO)** --- ## Funding & company status Arcada Labs is a 2025-founded company, backed by an accelerator/incubator round, and associated with Y Combinator. --- ## Contact Arcada maintains a founder-facing contact channel for leaderboard nominations, partnerships, and community collaboration.

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Bloomreach, Inc.

Bloomreach builds an AI-powered commerce experience platform spanning product discovery, marketing automation, and headless content management.

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Omneky

Omneky builds AI-powered advertising software that generates on-brand creative, launches campaigns, and analyzes performance across channels.

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Aiven

Aiven provides a managed, AI-ready open source data platform across major clouds, including services for PostgreSQL, MySQL, Kafka, ClickHouse, and more.

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Gecko Security, Inc.

Gecko Security, founded in 2024 by Jeevan Jutla (CEO) and Artemiy Malyshau (CTO), builds AI-native tools to detect and fix complex vulnerabilities. The company is backed by Y Combinator and headquartered in San Francisco.

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Artificial Societies

Artificial Societies (YC W25) builds AI-powered audience simulations so teams can test content and messaging before launch. Their LinkedIn-focused product, Reach, simulates your personal audience and maps influence.

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Letta, Inc.

Letta builds the open platform for stateful AI agents—combining research-driven memory management (MemGPT) with practical tooling like ADE, SDKs, and a managed cloud.

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Zep AI, Inc.

Zep AI builds memory and context engineering infrastructure for AI agents, including a temporal knowledge graph platform (Zep), Graph RAG, SDKs, and an MCP server.

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Mem0

Mem0 builds an open-source and managed memory layer for AI agents and applications, with SDKs, an API, and an MCP app (OpenMemory).

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Embedder Tech Inc

Embedder Tech Inc. is a San Francisco-based startup building AI-powered development tools for embedded systems programming. Founded in 2025 as part of Y Combinator's S25 batch, the company creates coding agents that automate firmware development across microcontroller platforms. The seven-person team has raised $550K in pre-seed funding from investors including Y Combinator, E14 Fund, Exceptional Capital, Palm Drive Capital, and Spot VC.

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The Qt Company

The Qt Company (Qt Group Oyj) develops the Qt framework, Qt Creator IDE, and tools for cross-platform application and embedded development.

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Parallel Web Systems

Parallel builds web infrastructure optimized for AI agents, offering structured, verifiable, and high-accuracy research APIs designed for reliability, transparency, and composability.