Mod Deck

Confidential

Version control for agents.

The new reality

Engineers now run fleets of agents.

The friction

Running agents in parallel, and together, is a mess.

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You coordinate every agent by hand

Agent work sits in a flat local list, not a live log other agents and tools can react to, so you run the tests, trigger the next step, and wire every handoff.

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No one else can join a run

A session is trapped on the machine it started on, so a teammate can’t watch or join it and another agent can’t pick up where one left off. Working together means pasting transcripts after the fact.

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Parallel agents diverge without visibility

Each runs in its own VM, blind to the others’ changes and how they relate, so the work drifts apart into merge hell.

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Hosted orchestrators aren’t local-first

Cloud-hosted agents lock your environment, tools, and data to a vendor’s app, limiting your control and the workflows you can build.

The root cause

Git was built for one codebase, not a whole system of work.

As a version control system it only tracks text files, line by line. Commits and syncs are manual, so work and the context behind changes get lost, submodules barely work, and there is no real access control.

Git versions

Code

It can’t see

Environment Plans Decisions Transcripts Issues Reviews

Different data, different access, different audiences.

→

So teams bolt on

Notion

Linear

Cursor

Claude

Devin

Factory

GitHub

Figma

Drive

And babysit every run

The substrate

Mod versions and syncs all of it.

Every typed object your agents touch, stored, versioned, access-controlled, and synced in one place, instead of scattered across machines and apps.

In sync across Laptop Phone Web Cloud VMs

Mod ∎ versioned live sync

Full context Code · files · plans · decisions · sessions · transcripts

Environment Dependencies · services · secrets

stored · versioned · access-controlled · synced

Syncs in from

GitHub

Linear

Notion + Postgres, REST, …

Inference workers run

Claude

GPT

Gemini + open models

Local

A collaborative, versioned harness in your terminal.

Sessions as a versioned log Parallel branches, no worktrees Fork, explore, keep the best Attributed, shared changelog Move runs between machines

Web

Agent workflows made easy to share and collaborate on.

Sessions Canvases Connect your agents Checkpoints & revert Extensible harness

Ecosystem

A few primitives that birth an ecosystem.

Every piece is one typed object on the shared log, so they interoperate by default. Build the part you need, run it on your machine, deploy it, or publish it for others. No integrations, just the same log.

Workers

Watch the log and do the work, inference, tools, and evals, running in your own sandbox on any host.

Tools

Give agents new capabilities to call. Build a tool once and any session can invoke it.

Connectors

Sync outside data in and out, GitHub, Linear, Notion, Postgres, a REST API, while the log stays the source of truth.

Canvases

New surfaces on the same data: a review canvas, a board, a dashboard. Just another view of the log.

Workspaces

Package how your team works, sessions, tools, and layout, into a workspace others can fork and extend.

Network effects

GitHub owns the network around repos. Mod owns it around agent workspaces.

GitHubrepos

Git commoditized version control. GitHub captured the network on top, collaborators, identity, and discovery, and became the default home for code.

Modagent workspaces

The harness is commoditizing the same way. Mod captures the network around the whole workspace, sessions, agents, tools, and people, not just code.

Every shared session, fork, and published workspace pulls in the next collaborator and the next builder. Shared work brings teammates, the ecosystem brings builders, forks spread the substrate, and the graph of who built what only lives in Mod.

Market

Agents need infrastructure for collaboration.

$165B+

$60B

$8B

$8B · The wedge

Agent infrastructure. The layer teams already buy to run agents, growing ~46% a year. Where we land.

$60B · The category

Collaboration software. Docs, trackers, design, code hosting, all built for humans coordinating with humans, all getting rebuilt for humans and agents.

$165B+ · The prize

The digital workplace. As work shifts to fleets of agents, the value moves to the infrastructure layer the whole stack runs on.

Every team is becoming a few people and a hundred agents. We’re not building a better app, we’re building the layer the next generation of them runs on.

Competition

Productivity apps bolt AI on.
Mod is the infrastructure underneath.

The market we take Notion

Productivity & collaboration apps, built for the human era.

What the agentic age needs

Productivity apps

Mod

Versions the whole system, not a silo

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Agents as first-class collaborators

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Parallel agent work: branch & merge

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Checkpoint, attribute & roll back

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Local-first, runs on your infrastructure

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One programmable substrate, not a fixed app

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An app can add AI features. It can’t become infrastructure. That gap is the whole opportunity.

Team

Built by the people who built the primitives.

Nassar Hayat

Co-founder & CEO

Head of Platform at MultiOn, building browser agents. Led the developer ecosystem team at Radicle, a peer-to-peer GitHub alternative. Co-founded Foodchain, a B2B platform bootstrapped to $5M ARR.

Built

Alex Good

Co-founder & CTO

Lead maintainer of Automerge, the leading open-source CRDT library, at Ink & Switch. Led the protocol team at Radicle. Co-founded Foodchain. Speaker at Local-First Conf and QCon London.

Built

Years of R&D on local-first collaboration and agent architectures. We have shipped together before. Longtime collaborators, and each other’s best man.

GTM

We sell the infrastructure
agents run on.

We sell subscriptions that bundle the four things agents consume:

OS inference Storage Hosted VMs Sync

Revenue (ARR) Teams

We launch in ~3 months. Year-3 target: Cursor’s ~50k team scale and $250M ARR (~$5k per team).

0 → 1k teams · $5k ACV

Open source or free tier to seed adoption
Developers find it, use it, love it, bring it into their team
Team usage triggers upgrade/paid conversion
Content + community (HN, Reddit, X, YouTube) drives top of funnel
Product-led growth loops (sharing, collaboration, visibility) drive viral spread
Land and expand: start with one team, spread across the org

Traction

Technical leaders are already pulling for it.

“Give me a way to share my agent data with the team and I will stop using Linear, GitHub, and Notion.”

Engineering leader Cloudflare

“Our product and engineering teams are stuck in so much grunt work trying to organise and collaborate on plans.”

Director of AI Snyk

“We’re struggling to manage agents across Notion for specs, Linear to track, and a separate GitHub repo for local context.”

CTO Recall AI

“Our teams own idea-to-deploy individually, but it’s hard to collaborate on design and review.”

CTO AGI Inc

“It’s hard to review agent-generated code. Tracking the full context would be very helpful.”

Engineering manager Remote.com

“Worktrees don’t work.”

Founder Nominal.dev

“I set parallel agents off to work and their output is mostly useless, they have no context of what the others did.”

Founder Reflex AI

“Everybody’s building the same thing: prompts replace code, a thread viewer replaces the file viewer. But who’s going to figure out collaboration? I’m bullish on sync engines.”

CTO Paradigm

“GitHub is dying and git is not the right primitive.”

CEO T3

“GitHub was the best solution for 2010. In 2026 it’s hanging on by a thread. The needs of today are so different the form factor doesn’t work anymore.”

Founder & CTO HashiCorp

“Git worktrees are fun and all, until you have 3,563 instances of node_modules.”

Engineer OpenCode

“Feels weird that git still can’t manage empty directories, or submodules that aren’t the root of another repo. Git submodules are pretty lame.”

Creator pi.dev

The ask

Raising to reach the first 1,000 teams.

$5M

To grow the team below and put Mod in front of its first 1,000 teams.

Use of funds

Product Engineering2 hires

Infrastructure Engineering2 hires

ML Engineering2 hires

Infrastructure & inferencecompute

Sales & marketingGTM

mod.computer nas@mod.computer