Work

For two decades, I have built open source projects, service businesses, research systems, and agent-native companies around one recurring question: how can small teams use software to do work that used to require large organizations? The current edge is Cumulative Systems: models that save their own working state and pick up where they left off. Pantasso and Plasmate continue alongside it.

Current focus

The active edge of the thesis

Start with the thesis

Build snapshot · August 2026: Cumulative Systems saves a model's own working state and reloads it directly, including across different models. Pantasso and Plasmate continue alongside it. July was the busiest recorded private contribution month at 3,927, moving the private rank from #1,769 on July 17 to #1,285 on August 1. See the dated contribution record.

Cumulative Systems

Persistent computational state

current focus

A model's own working state, saved and reloaded directly, so intelligence builds on itself instead of starting over.

Cumulative Systems saves a model's own internal working state and reloads it directly, so the work continues instead of starting over. State can move between different models.

Pantasso

Governed company context

current focus

Governed company context for AI-native teams: cited answers, honest gaps, SQL-accessible records, and scoped access for assistants.

Pantasso turns approved chats, documents, files, and business systems into cited answers, canonical records, honest gaps, and scoped access.

Plasmate

Open source browser infrastructure

current focus

A browser and semantic format for the web consumer that does not have eyes.

Plasmate compiles pages into a Semantic Object Model so agents can work with structure, intent, and affordances instead of raw HTML and pixels.

The map

Organized by the question each project answers

The work looks disparate when sorted by industry. It becomes coherent when sorted by the problem being tested: infrastructure, service delivery, solo leverage, agent operation, open source distribution, and lessons from prior waves.

State, context, format, access

Agent infrastructure and data

Systems for agents that must learn, understand company context, read the web, remember, pay, and act with evidence and control.

Outcome delivery instead of seats

Service-as-software businesses

Companies built around AI workers that perform business functions directly, with humans supervising edge cases instead of operating dashboards.

Leverage for owner-led operations

Single-human company systems

Operating layers for small teams and solo operators: persistent work queues, continuous improvement, delegated execution, and approval-ready outputs.

Markets, media, commerce, simulation

Agent-run experiments

Experiments that test how far agents can operate creative, financial, research, and commercial workflows with minimal human intervention.

Adoption before extraction

Open source and community

The throughline from Joomla and Mautic to Plasmate: build infrastructure people can inspect, adopt, extend, and trust before commercial layers appear.

Acquired, paused, killed, learned

Archive of lessons

Not every build remains a current company. The archive shows the lessons, false starts, and prior waves that shaped the current thesis.

Eras

A lifetime of work, not a pile of projects

Each era sharpened the same instinct: find a consumer class that existing infrastructure underserves, then build the missing layer that gives smaller teams more leverage.

2011-2015

Open source and small-business leverage

The earliest pattern was making expensive business capability available to smaller organizations: CRM, marketing automation, services, and community-led software.

CRMeryWebSparkMauticTechVets

2016-2022

Headless systems, ownership, and web3 experiments

The work moved toward APIs, ownership, programmable finance, identity, and markets. Many of these were experiments, but they built the muscle for autonomous systems.

SaelosCandorAfterCaiman FundMyPOA.xyzHot Potato

2023-2025

AI-native services and operating experiments

The focus shifted from software people use to agents that do the work: sales, education, commerce, social media, trading, and customer operations.

SalesAideTeacher's AideWith AgencyStockCrocZuiceWe Post

2025-2026

The operating stack for AI agents

The current arc leads with Cumulative Systems, persistent computational state for AI models, alongside governed company context, an agent-readable web, and the systems that let agents act safely.

Cumulative SystemsPantassoPlasmateTillLooperCrowdProof

Full index

The complete record

Some are companies. Some are proofs. Some are archived lessons. The index is kept complete because the body of work matters more than a polished highlight reel.

42
Active
4
Acquired
11
Archived

Showing 57 items.

Cumulative Systems

current focus

Cumulative Systems saves a model's own internal working state and reloads it directly, so the work continues instead of starting over. State can move between different models.

Infrastructure

Agatha's

paused

Boutique fine art gallery for NFTs

Archive

Loded

paused

Leasable Ethereum hashrate for those looking to invest in crypto mining without the high overhead expense of machine acquisition.

Archive

Pocket Pandas

archived

Adorable onchain panda tamagotchi with special traits

Archive

Saelos

archived

API driven Customer Relationship Management software. Serverless and headless

Open sourceArchive