VIBERS
People and companies to know in AI. Explore their work, ideas, and experience.
351Cody Menefee
Cody Menefee builds at Firecrawl and created OpenPasture, an open-source effort to support pasture-based livestock farming. His projects connect web-data collection and AI agents with practical decisions about grazing and farm equipment.
Start with You’re Not Thinking Big Enough: Rebuilding Food Systems with AI Agents
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352Krishna Prasad Srinivasan
Krishna Prasad Srinivasan leads vision models at Sarvam. He presents the engineering behind Sarvam Vision, a document model designed to read English and Indian-language material while preserving structure and meaning.
Start with From Scratch to SOTA: Training a 3B State-Space Vision Model
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353Merve Noyan
Merve Noyan builds open-source machine-learning tools and educational material at Hugging Face. Her work includes compact vision-language models, multimodal agents and practical recipes for customizing computer vision systems.
Start with smolagents can see
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354Alisa Liu
Alisa Liu is a member of technical staff at OpenAI, working on pretraining. Her research studies how training data and inference-time methods change language-model behavior, including human-AI data creation and controlled generation.
Start with WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
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355Armen Aghajanyan
Armen Aghajanyan cofounded Perceptron with Akshat Shrivastava after leading multimodal research at FAIR. His work connects mixed image-text modeling with systems that perceive and act in physical environments.
Start with From VLM/VLAs to Embodied Agents
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356John Platt
John Platt is a Google Fellow working at the intersection of computing and physical and biological science. His machine-learning contributions include Sequential Minimal Optimization for support vector machines and research on AI systems that write scientific software.
Start with John Platt on AI for Science
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357Alberto Gimeno
Alberto Gimeno is a principal design engineer at GitHub. He builds developer tools and writes about the rendering and data-processing decisions that keep complex coding interfaces responsive.
Start with Rendering huge pull requests in the GitHub Copilot app
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358Cyrus Clarke
Cyrus Clarke is a designer and researcher exploring tangible interactions with digital systems. His projects connect AI with physical displays and scent, including I Gave an AI a Body and the Anemoia Device.
Start with I Gave an AI a Body: conference talk
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359Jerry Liu
Jerry Liu is cofounder and CEO of LlamaIndex. He builds infrastructure that helps AI applications ingest, retrieve and use documents, from the original open-source data framework to document-processing tools and agent workflows.
Start with Building the Document Context Layer for AI Agents
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360David George
David George is a general partner at Andreessen Horowitz, where he leads the Growth practice. He writes and conducts interviews about scaling technology companies, including AI infrastructure and cybersecurity.
Start with Investing in Armadin
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361Philip Kiely
Philip Kiely writes about inference engineering and works on special projects at Baseten. He is the author of Inference Engineering and Writing for Software Developers, connecting technical implementation with explanations developers can use.
Start with Inference Engineering
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362Filip Makraduli
Filip Makraduli is a developer relations engineer at Modal and a machine-learning engineer focused on model inference. He coauthored FlashNorm and contributes software and explanations for making transformer inference more efficient.
Start with Weight Folding, CUDA Streams, and the Bug That Made My Model Speak Backwards
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363Daniel Svonava
Daniel Svonava is cofounder and CEO of Superlinked. A former machine-learning tech lead for YouTube Ads, he works on infrastructure for running small, task-specific models in AI applications.
Start with Large clusters for small models
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364Dillon DuPont
Dillon DuPont develops software and models for agents that operate computers. His work includes GPT-4V-Act, coauthorship of Windows Agent Arena and a small form-decision model at Cua.
Start with How Cua Replaced Full LLM Calls with Fast Decision Models
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365Yuval Belfer
Yuval Belfer is a senior developer advocate at AI21. He writes and teaches about retrieval, agent architecture and debugging inference systems, and coauthored research on the neural tangent kernel of residual networks.
Start with The verifiability litmus test for agent design
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366John Ousterhout
John Ousterhout is an emeritus professor of engineering and computer science at Stanford. His systems work includes Tcl and Tk, Raft consensus with Diego Ongaro, and the Homa datacenter transport protocol. He also writes about managing software complexity.
Start with In Search of an Understandable Consensus Algorithm
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367Nacho Martínez
Nacho Martínez is an Oracle developer advocate and AI engineer who builds and teaches memory-aware agent systems. He co-teaches Agent Memory: Building Memory-Aware Agents and develops open-source examples around Oracle AI Database.
Start with Agent Memory: Building Memory-Aware Agents
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368Max Drake
Max Drake is a product engineer at tldraw, building interfaces for drawing, animation and agents that work on a canvas. Drake’s work includes the spatial harness for canvas agents and tldraw flash, developed with Audrey Leo and Leo Knudsen.
Start with How we built a spatial harness for agents on the canvas
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369Jeremiah Lowin
Jeremiah Lowin is founder and CEO of Prefect and the creator of FastMCP. He builds Python tools for workflow orchestration, agent integrations and interactive interfaces, including Prefab.
Start with Prefab introduction
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370Eric Provencher
Eric Provencher works on Codex developer experience at OpenAI and created Repo Prompt, a macOS tool for assembling context and coordinating coding agents. His earlier engineering work focused on XR at Unity.
Start with Auditing Skills and AGENTS.md for GPT-6 Astra
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371Ajay Prakash
Ajay Prakash is a senior staff software engineer at LinkedIn. He builds infrastructure that gives AI coding agents access to organizational context, tools and reusable workflows, and develops Stratos for authoring agent workflows in TypeScript.
Start with Contextual agent playbooks and tools
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372Corbin Rosset
Corbin Rosset, also published as Corby Rosset, is a researcher at Microsoft Research. He works on evaluating computer-use agents and on search systems that help people ask and answer useful questions.
Start with Your LLM Judge Is a Confident Liar: Building Better Verifiers
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373Henry Dowling
Henry Dowling is cofounder and CTO of Stash, working on systems that learn from agents’ real-world runs. He also builds developer tools and writes about keeping agent-produced software simple.
Start with Four practices for reducing unnecessary code and tests in agent workflows
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374Jess Wang
Jess Wang is a developer relations engineer at Braintrust. She teaches evaluation through concrete experiments, technical articles and the Dev Convos podcast, drawing on earlier software-engineering and developer-relations work.
Start with Agentic Search vs Vector Search for Coding Agents
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375Karthik Ranganathan
Karthik Ranganathan is cofounder and co-CEO of Yugabyte. He works on distributed databases and agent data infrastructure, including the company’s Meko platform for sharing context and knowledge across agents.
Start with Agent Memory Is Solved. Agent Learning Isn’t.
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376Heather Downing
Heather Downing is a developer advocate at Yugabyte and founder of VennApps. She teaches developers through live examples spanning agent memory, application infrastructure, APIs and software careers.
Start with Shared Memory for AI Coding Agents: A Live Build with Meko
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377Hayden Bleasel
Hayden Bleasel is a member of technical staff at OpenAI and a software engineer and product designer. His developer-tool work includes Blume, Streamdown and Ultracite, combining interface design with open-source infrastructure.
Start with Blume
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378Dan Adler
Dan Adler is CEO of Sourcegraph. He works on the company’s direction for code intelligence, helping developers and AI agents understand large, long-lived codebases across repository boundaries.
Start with AI Coding Agents Are Breaking Big Codebases
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379Laurent Gil
Laurent Gil is president and cofounder of Cast AI. He works on cloud and AI cost management and presents the company’s Kimchi coding platform, including the economics of choosing models for a task.
Start with Stop Rationing Tokens: Let the Harness Pick the Model
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380Sara Achour
Sara Achour is an assistant professor of computer science and electrical engineering at Stanford and a research fellow and cofounder of Unconventional AI. She develops programming languages, compilers and runtime systems for computing platforms whose physical behavior performs part of the computation.
Start with Machine Learning with Dynamics
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381Avid
Avid, also publishing as Avidlive, builds local tools for coding agents. Agentic Stack keeps memory, skills and operating rules portable across tools; Brain supplies shared Git-backed memory, and Serein places existing coding agents inside visible browser tabs on a Mac.
Start with Agentic Stack
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382Yoonho Lee
Yoonho Lee is a computer-science PhD student at Stanford, advised by Chelsea Finn. He studies continual learning through text: using execution traces, critiques and experiment histories to improve an agent’s instructions, code and surrounding workflow over time.
Start with Meta-Harness: End-to-End Optimization of Model Harnesses
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383Neethan Wu
Neethan Wu builds tools for working with coding agents, including the Dawn file editor, the Bae messaging bridge and the joa activity journal. He also writes about combining existing design expertise, an editable canvas and visual references into an agent-assisted design workflow.
Start with Design Agent Harness
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384Defileo
Defileo is a pseudonymous writer publishing AI workflow guides on X and Substack. The newsletter aims to make AI understandable, while longer X guides explain concrete tool workflows.
Start with Claude + Obsidian Second Brain Setup
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385Gauri Gupta
Gauri Gupta is cofounder and CEO of NeoSigma, which builds infrastructure for agents to learn from production experience. Her work connects model research with the practical tasks of finding failures, turning them into evaluations and checking whether a proposed change preserves earlier fixes.
Start with Self-Improving Agentic Systems
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386Ole Lehmann
Ole Lehmann writes The AI Solopreneur and explains AI tools for non-technical business owners. His publication focuses on applying agents to business and marketing work, connecting tool explanations with workflows a reader can try.
Start with Claude Setup Detox Audit
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387Vivek Trivedy
Vivek Trivedy, who publishes as Viv, leads applied research with LangChain’s Labs team. He works on continual learning, agent harnesses and evaluation data, connecting earlier research in visual representation learning with the engineering of agents that can inspect and improve their work.
Start with How we build evals for Deep Agents
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388Zack Shapiro
Zack Shapiro is managing partner of Rains and head of policy at the Bitcoin Policy Institute. He writes about using AI in a small law practice, with particular attention to the professional judgment and detailed instructions that shape the work.
Start with The Input Layer
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389Fathy Boundjadj
Fathy Boundjadj develops browser and rendering tools, including Carbonyl, a Chromium-based browser that runs inside a terminal, and html2svg, which exports web pages and canvas content as images. His technical essays explain the changes underneath those interfaces.
Start with Forking Chrome to render in a terminal
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390Dan Koe
Dan Koe writes about creativity, self-directed work and building a business around writing and useful skills. His newsletter and educational products turn those themes into exercises for developing ideas, publishing consistently and creating digital products.
Start with How to Become So Creative It Feels Illegal
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391kaize
kaize publishes practical guides to managing the context and resource use of AI assistants. Writing as @0x_kaize, the author focuses on clearer task requests, smaller working contexts and deliberate choices about tools and recurring work.
Start with Claude Token Optimization Guide
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392Peter Mattis
Peter Mattis is cofounder and chief technology officer of Cockroach Labs. His work spans the original GIMP image editor, infrastructure at Google and the design of CockroachDB, a distributed SQL database built to keep transactions correct as machines and regions fail.
Start with Distributed databases with Peter Mattis
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393Shaun Smith
Shaun Smith works on open-source agents and MCP at Hugging Face and maintains fast-agent. Publishing as evalstate, he develops tools that connect models to external capabilities and explains the transport and deployment choices behind those connections.
Start with Building the Hugging Face MCP Server
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394Craig Hewitt
Craig Hewitt is founder and CEO of Castos and a founder of UltraClip. He publishes practical work on applying AI to a small business, including SEO Machine, a Claude Code workspace that organizes research, drafting and optimization around a company’s own context.
Start with SEO Machine
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395Malte Ubl
Malte Ubl is CTO of Vercel. He works on web infrastructure and AI-assisted software development, drawing on earlier responsibility for Google Search rendering and frontend systems. His recent writing focuses on feedback during development and the security boundaries around increasingly capable agents.
Start with The Great Evals Debate — Ankur Goyal & Malte Ubl
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396Simon Eskildsen
Simon Eskildsen is cofounder and CEO of turbopuffer, a search engine built around object storage. Previously a principal engineer and director working on Shopify’s infrastructure, he also maintains Napkin Math, a collection of measurements and exercises for estimating how systems should perform.
Start with Napkin Math
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397Daksh Gupta
Daksh Gupta is cofounder and CEO of Greptile, which develops AI tools for reviewing software changes. His work focuses on how a review system can understand the surrounding codebase and help teams validate an increasing volume of code written with agents.
Start with AI-Generated Code Is Already Competing With Human Code — Daksh Gupta, Greptile
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398Jordi Hays
Jordi Hays is cofounder and cohost of TBPN, a daily live show about the business of technology. With John Coogan, he combines fast-moving news discussion with interviews of founders, operators and researchers, publishing full episodes and shorter conversations across several platforms.
Start with Greg Brockman on Astra and the Future of OpenAI
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399John Coogan
John Coogan is a cofounder and cohost of TBPN, the daily live technology-business show he presents with Jordi Hays. Before his media work, he cofounded Soylent and Lucy, bringing experience in software, ecommerce and building consumer businesses to his interviews.
Start with Greg Brockman on Astra and the Future of OpenAI
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400Burke Holland
Burke Holland works on AI-powered development at GitHub and publishes practical writing, demonstrations and tools for developers. His recent work includes custom instructions for coding agents and examples of interfaces that make an agent’s progress easier to inspect and direct.
Start with When chat is the wrong UI
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