VIBERS

People and companies to know in AI. Explore their work, ideas, and experience.

551

Bootoshi

Bootoshi is a pseudonymous agent-tool developer publishing through the kingbootoshi account. Projects include an image-generation CLI, a codebase-mapping plugin and tools for delegating development tasks to coding agents.

Start with Nano Banana 2 Skill

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552

Sawyer Hood

Sawyer Hood is an independent software engineer building tools for coding agents. Previously a senior staff engineer at Figma, he worked on FigJam and Dev Mode plugins before developing projects including Middleman and dev-browser.

Start with I Was Tired of Juggling My Agents, So I Hired a Middle Manager

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553

Guido Appenzeller

Guido Appenzeller invests at Andreessen Horowitz in AI, infrastructure, open source and semiconductors. His career includes founding technology companies and leading product or technology work at Intel, Yubico and VMware.

Start with Former Intel CEO: Why This is the Best Time to Build Hardware

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554

Kit Langton

Kit Langton develops programming tools and interactive explanations of effect systems. His projects include TailCode for reaching OpenCode through a Tailscale network, Neotype for Scala 3 and visual demonstrations of Effect programs.

Start with TailCode

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555

Dotan J. Nahum

Dotan J. Nahum is an open-source developer and co-founder of Spectral, the developer-security startup acquired by Check Point. His projects include Picocode, a small Rust coding agent, and Hygen, a template-based code generator.

Start with picocode

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556

Jasper Dekoninck

Jasper Dekoninck is a computer-science PhD student at ETH Zurich studying how to evaluate mathematical reasoning in language models. He leads MathArena and researches problems ranging from competition answers to research-level and formal proofs.

Start with Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs

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557

Matt Garman

Matt Garman is CEO of Amazon Web Services, a role he has held since June 2024. He joined AWS as an early product manager and later led compute services and the worldwide sales and marketing organization.

Start with Building the Cloud for AI Agents | AWS CEO Matt Garman

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558

Liam Fedus

Liam Fedus is co-founder of Periodic Labs, where he works on AI scientists and autonomous physical laboratories. Previously OpenAI’s vice president of post-training, he now focuses on systems that learn from experiments and help decide what materials to investigate next.

Start with AI Scientists Are Here: Autonomous Labs & Synthesis Superintelligence — Periodic Labs

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559

Jordan Nanos

Jordan Nanos is a member of technical staff at SemiAnalysis. His coauthored research compares open and closed AI models across technical eras.

Start with Are Open Models Catching Up?

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560

Max Kan

Max Kan writes about AI token economics at SemiAnalysis. His coauthored analyses examine subscription limits, workload-dependent API-equivalent value and the changing capability gap between open and closed models.

Start with Anthropic Subscriptions Offer 5x+ More Value Than OpenAI

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561

Davis Palmie

Davis Palmie is a member of technical staff at Factory and co-founder of Lumetric, which Factory acquired. He builds agent systems for software work and explains how to move from individual coding assistants to governed development workflows.

Start with The Software Factory: From Bug Report to Production Code — Davis Palmie, Factory

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562

Erin Havens

Erin Havens leads GitHub’s secret-scanning product work. Her releases address preventing credential leaks, detecting exposures across public code and reducing the manual effort required to respond to security alerts.

Start with Secret protection must scale with software

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563

Tariq Shaukat

Tariq Shaukat is CEO of Sonar, which builds software-quality and security tools. His work addresses how organizations adapt their engineering processes, tooling and responsibilities as coding agents become part of development.

Start with Redesigning How Software Gets Built With AI Agents — Sonar & McKinsey Panel

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564

Martin Gontovnikas (Gonto)

Martin Gontovnikas, known as Gonto, advises founders on marketing and product growth. A software developer turned growth executive, he publishes open-source tools and workflows, including Executive Assistant Skills for OpenClaw.

Start with Executive Assistant Skills

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565

Brian Celenza

Brian Celenza is a principal software engineer at GitHub working on repository storage and core services. He writes about the Git infrastructure needed to handle sustained, concurrent work by developers and coding agents.

Start with Building Git infrastructure for agent-scale development

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566

Anson Ho

Anson Ho is a senior researcher at Epoch AI studying the drivers and effects of AI progress. His work connects hardware-efficiency limits, model evaluation and analysis of technological change.

Start with Limits to the energy efficiency of CMOS microprocessors

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567

Cheryl Wu

Cheryl Wu is an economics PhD student at Yale and a research scholar at the Centre for the Governance of AI. She studies technology adoption, growth and the economic effects of AI.

Start with How do Chinese AI companies make money?

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568

Grey

Grey writes about AI-assisted product development and works on agent infrastructure. The essay AI Makes It Easier to Build the Wrong Product argues for matching the size of an implementation batch to uncertainty about the product.

Start with AI Makes It Easier to Build the Wrong Product

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569

Daniel Kornum

Daniel Kornum leads FDE at Varick Agents and writes about applying AI to enterprise operations. His essays focus on coordination costs, deployment workflows and the difference between a capable model and a changed business process.

Start with AI's Biggest Winners Have the Lowest Margins

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570

Ben Thompson

Ben Thompson writes Stratechery, a publication on technology strategy, business models and their effects on society. His Aggregation Theory explains how internet businesses can gain power by owning the customer relationship and attracting increasingly interchangeable suppliers.

Start with Aggregation Theory

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571

Neil Rahilly

Neil Rahilly leads AI Acceleration at Sierra. He writes about deploying agents across a company, including the context, permissions and connections to existing business systems that make their work usable.

Start with AI-pilling our company: lessons learned

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572

Rashaad Baten

Rashaad Baten develops Koda, a Mac desktop coding agent that uses an existing Claude or ChatGPT subscription. The project combines local project files with approval controls and an undo history for agent changes.

Start with Koda

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573

Andre Ambrósio

Andre Ambrósio builds HumanInk, a Markdown instruction set for reviewing and rewriting prose in Claude. It turns a catalog of recurring writing patterns into an audit, revision and comparison workflow.

Start with HumanInk

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574

Chase Lochmiller

Chase Lochmiller is co-founder, CEO and chairman of Crusoe, an AI infrastructure company. His work connects the availability of power with the data centers and computing services needed to train and run models.

Start with Crusoe CEO: Why Everyone Gets GPU Depreciation & AI Energy Costs Wrong

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575

Michael

Michael works on classifier.dev and is a member of technical staff at Context.dev. His public work connects a text-classification service with a plain HTTP interface that developers and agents can call.

Start with classifier.dev

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576

Dishant Modi (cryptoshant)

Dishant Modi publishes security research and learning resources as cryptoshant. His AI Pentesting Roadmap connects vulnerability categories, practice labs and public research writeups for people learning to test AI systems.

Start with AI Pentesting Roadmap: Labs, Challenges, Writeups & Research

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577

John Sullivan Hamilton

John Sullivan Hamilton is Design Intelligence Lead at Block. His work combines design systems with the interfaces people use to build alongside AI agents, including the team behind the open-source desktop app Berd.

Start with Berd

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578

Lucas Martinic

Lucas Martinic is an XR creative technologist and developer, co-founder of Present Futures and creator of Polyfork. His work combines programmable 3D assets, mixed-reality interfaces and engineering for artists’ installations.

Start with Polyfork

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579

argo (argofowl)

argo is a solo developer making Mac apps and interface-reference tools. The work includes FowlVoice for dictation and voice commands, and NameThatUI for finding the names of visual interface elements.

Start with NameThat

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580

Neel Makhecha

Neel Makhecha builds tools for developing and using software on Apple devices. His current projects include Sqim for delivering iOS previews to a phone and FreeMilk, a coding-agent workspace on the iPhone.

Start with Sqim

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581

Nat Friedman

Nat Friedman works on AI products and applied research at Meta. Previously CEO of GitHub and co-founder of Xamarin and Ximian, he also created and sponsors the Vesuvius Challenge to read carbonized ancient scrolls without physically unrolling them.

Start with Muse Gadgets

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582

Fayaz Ahmed

Fayaz Ahmed is a senior developer educator at Cloudflare and an independent tool builder. His projects include headlesstools, a set of hosted utilities for agents, and Screendrop, a native Mac screenshot and recording application.

Start with headlesstools

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583

Sam Hogan

Sam Hogan is CEO of Inference.net and builds software for AI agents. His Lumbridge project adapts a persistent RuneScape-style world into an environment where agents control characters, carry progress across sessions and coordinate their work.

Start with Lumbridge

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584

Nick Khami

Nick Khami works on inference at Morph and builds call4me, a phone-calling service for AI agents. He previously founded and led Trieve and worked as an engineering manager at Mintlify following its acquisition of the company.

Start with call4me

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585

0xkato

0xkato is a security researcher and technical writer studying machine-learning systems. The public portfolio connects earlier vulnerability research and Web3 security work with explanations of language models and lower-level computing.

Start with How LLMs Actually Work

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586

Sashank Thupukari

Sashank Thupukari builds Indent, a shared AI coworker for a company. His work focuses on an agent that uses organizational context across Slack, code and connected tools while keeping track of the work it performs.

Start with Indent

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587

Will Chen

Will Chen builds Mike, an open-source legal AI platform for reviewing, drafting and researching documents. His work applies legal-practice experience to software that firms can inspect, modify and operate themselves.

Start with Mike

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588

Imade Iyamu

Imade Iyamu writes and hosts conversations about immigrant careers, education and building a life in the United States. She works with immigrant families through Arusha Wealth and founded the We Made It in America media platform.

Start with How to Write an Outstanding Essay/Personal Statement

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589

Vlad Feinberg

Vlad Feinberg is a lead for Gemini pretraining at Google DeepMind. His public work explains language-model scaling, inference efficiency and practical routes into systems and agent research.

Start with A Frontier Lab Insider's Path: Kernels, Agents, and Math Maturity

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590

Daniel Fried

Daniel Fried is an assistant professor at Carnegie Mellon University’s Language Technologies Institute. His group studies how people and language-model agents communicate and collaborate, including code, computer use and multi-agent interaction.

Start with 11-768: AI Agents

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591

ellington

ellington publishes commentary on computing, AI and culture under the public name not_ellington. The writing examines the economics of inference and the effects of automation on work and education.

Start with Inference Memory and Utilization

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592

Alice (aliceisplaying)

Alice builds stillwet, an experiment in which AI models paint through code and a simulated physical studio. The work combines a paint engine, an agent harness and a gallery that preserves the paintings and the process behind them.

Start with Giving Opus 5.5 a simulated paint canvas

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593

Ari Weinstein

Ari Weinstein works on computer use and frontier interfaces at OpenAI. He previously co-founded Software Applications Incorporated, maker of Sky, and worked on Workflow and Apple’s Shortcuts.

Start with Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week

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594

Nikunj Handa

Nikunj Handa works on product for the OpenAI API. His public work explains tools, models and interfaces for developers building agents, including ways to make long-running interactions more responsive.

Start with Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week

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595

Rohit (rohit4verse)

Rohit publishes technical explanations of applied AI and agent systems. His writing focuses on the environment around a model: tools, context, memory and the controls that help software complete a longer task.

Start with The Harness Is Everything: What Cursor, Claude Code, and Perplexity Actually Built

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596

Reid Hoffman

Reid Hoffman is a LinkedIn cofounder and a partner at Greylock. His work combines company building, investment and public explanations of network effects, scaling organizations and the business consequences of AI.

Start with Notes from the SaaS Funeral

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597

Suhas Baliga

Suhas Baliga is a corporate lawyer and partner at Managed Counsel. He writes about how AI changes legal work, including the risks of answering questions from isolated contract fragments.

Start with Legal AI Analysis

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598

Bill Gurley

Bill Gurley is founder and president of P3 Institute, a policy-research organization, and a former general partner at Benchmark. He writes about technology-business economics and is the author of Runnin’ Down a Dream, a book about choosing and developing a career.

Start with The Dangerous Seduction of the Lifetime Value (LTV) Formula

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599

François Chollet

François Chollet is a software engineer and AI researcher who created Keras and the ARC-AGI benchmark. He cofounded Ndea and the ARC Prize Foundation with Mike Knoop.

Start with Keras

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600

Simon Späti

Simon Späti is a data engineer, technical author and educator who publishes the ssp.sh blog, a connected public collection of notes and the developing book Patterns of Data Engineering. He explains data systems alongside the habits used to learn and maintain them.

Start with The problem is not AI code, but not knowing about system architecture or intent

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