The Caloric Map of Earth That Nobody Owns

Every piece of land on earth has a number attached to it. Not a price, a caloric potential. How many calories can this soil, in this climate, with this rainfall, actually produce per square meter per year?

Nobody knows. Not precisely. Not at the resolution that matters.

We have satellite data on crop yields for industrial agriculture. We have FAO estimates for national food production. We have academic studies on specific polycultures in specific research plots. But we don't have a living, ground-truth dataset of what real people are actually growing on real land across different climates, soils, and methods.

That dataset doesn't exist yet. I'm building it.

The Metric That Changes Everything

Calories per square meter per year. It's the simplest possible measure of land productivity, and it's the one almost nobody tracks.

Industrial agriculture optimises for yield per hectare of a single crop. Home gardeners track whether their tomatoes did well this year. Permaculture designers draw beautiful guild diagrams but rarely measure total caloric output. Market farmers know their revenue per bed-foot but not their calories per square meter. Even in a well-designed food forest, very few growers track aggregate yield across all seven layers.

The result is that we have almost no comparable data on the most fundamental question in food production: given these specific conditions, what approaches actually produce the most food?

This matters far beyond any individual garden. If you could answer that question reliably, for every climate zone, every soil type, every growing method, you'd have a tool that transforms how we think about food security, land use, and resilience.

A city planner could look at the caloric potential of vacant lots in their municipality. A homesteader could compare their food forest output against documented results from the same climate zone, placing production data alongside their permaculture zone plan to see which zones deliver the most calories. A developing nation could prioritise agricultural strategies based on evidence from thousands of real gardens, not a handful of research plots.

That tool doesn't exist because the data doesn't exist. The data doesn't exist because nobody has built the infrastructure to collect it at scale from the people actually growing food.

Why the Data Has to Come From Gardeners

Industrial agriculture data is abundant but narrow. It tells you how much corn Iowa produced this year. It doesn't tell you what a half-acre polyculture in Zone 6b clay can produce using food forest methods with no synthetic inputs.

The people who know what diverse, small-scale food production actually yields are the people doing it: permaculture practitioners, food forest growers, market gardeners, homesteaders. They're running thousands of natural experiments every season, in every climate zone, on every soil type. They're the most distributed and diverse agricultural research network on the planet.

But their data is trapped in paper journals, forgotten spreadsheets, and fading memories. It's never aggregated, never compared, never made useful to anyone beyond the person who recorded it, if they recorded it at all.

PatternBase is the infrastructure to change that. Every garden documented, every harvest logged, every observation recorded feeds a growing dataset of what actually works, where, and under what conditions. Not theory. Not projections. Documented results from real land.

How It Works

When a PatternBase user logs a harvest, the system captures more than just the weight. It records the growing method, the soil conditions, the climate data (pulled automatically from weather APIs), the companion plants, the water inputs, the time invested. Each harvest becomes a data point that's comparable across gardens.

Aggregate enough data points across enough gardens, and patterns emerge. Not opinions. Patterns. Guild X in Zone 7a clay with drip irrigation averages Y calories per square meter. Method A outperforms Method B in arid conditions by Z percent. Food forests in their fifth year produce more per square meter than conventional beds in the same climate.

Or they don't. That's the point. We don't know yet, because nobody has measured it. PatternBase is designed to find out. If you're curious about how the platform works in practice, the introducing PatternBase post walks through the core features.

The flagship metric, calories per square meter per year bucketed by climate zone, is PatternBase's equivalent of a benchmark score. It's the number that lets you compare fundamentally different approaches to growing food on a level playing field. And it's the number that, at scale, becomes a map of earth's actual food production potential.

Your Data Stays Yours

Here's where this story diverges from every other ag-tech platform.

The agricultural data industry is worth billions, and it's built on extracting data from farmers. Precision agriculture platforms collect field data and sell aggregate insights back to the industry. Soil testing companies build proprietary databases from your test results. Seed companies use planting data to optimise their own product lines.

The pattern is always the same: you generate the data, someone else owns it, and the value flows away from you.

PatternBase is built on the opposite principle. Your garden data is yours. Full stop.

Every user can export their complete dataset (every observation, every harvest, every photo) in open formats at any time. There's no lock-in. If PatternBase disappeared tomorrow, your data would come with you. That's not a feature we'll add later. It's built into the foundation because it's a non-negotiable principle.

The aggregate insights (the caloric map, the pattern rankings, the climate-zone comparisons) are built from anonymised, opt-in contributions. You choose whether your garden data feeds the public dataset. If you opt in, your individual records are never exposed. Only statistical aggregates with minimum cohort sizes are published. Your garden's location is generalised to the climate-zone level. Your identity is never attached to public data.

This isn't just privacy for privacy's sake. It's a structural choice about who benefits from agricultural knowledge. The caloric map of earth should be a commons: a public resource built by the people growing food, owned by nobody, useful to everyone. Not a proprietary dataset locked behind an enterprise paywall.

The Personal Part

I need to tell you why this matters to me beyond the product.

I've been dedicated to two ideas since 2017: Bitcoin and permaculture. At the time, that combination made me a fairly unusual person. It still does, but less so every year.

In 2018, during my Permaculture Design Certificate course, I gave a talk to the entire class, about 40 people, on why Bitcoin was important. The price was around $3,000 USD. I was laughed at. Openly. People who understood soil biology and ecosystem design couldn't see why a decentralised monetary network mattered to food sovereignty.

I knew I was right. Not because the price would go up (though it did) but because the principle underneath Bitcoin is the same principle underneath permaculture. Sovereignty is indivisible. You can't have food sovereignty without financial sovereignty. You can't have financial sovereignty without data sovereignty. You can't build resilient local food systems on fragile centralised infrastructure.

Hard money. Hard food. Hard knowledge. These aren't separate projects. They're the same project viewed from different angles.

PatternBase sits at the intersection. It's a tool for documenting what grows. It's an infrastructure for building the caloric map of earth. And it's built on the principle that the people generating agricultural knowledge should own it: the data, the insights, and the value.

The Long Game

The vision for PatternBase isn't an app. It's a dataset.

The app is the collection mechanism, the thing that makes it easy and rewarding for gardeners to document what they're growing and what it produces. The real value is the aggregate: a living, growing, open dataset of food production potential across every climate zone on earth.

At 100 gardens, you have interesting anecdotes. At 1,000, you have regional patterns. At 10,000, you have statistically significant data on what approaches to food production actually work in which conditions. At 100,000, you have the caloric map.

That map changes conversations. It gives municipal food programs evidence for what to fund. It gives permaculture practitioners proof that diverse food systems outperform monocultures in their specific conditions, or honest data when they don't. It gives researchers a dataset orders of magnitude larger than any individual study. It gives communities a tool for understanding their own food production potential.

And because it's built as a commons, not a proprietary platform, it can't be captured, paywalled, or shut down by a company that decides to pivot. You can already explore public gardens and climate-matched results in the PatternBase commons.

Every garden documented brings us closer. Every harvest logged adds a data point. Every season of observations builds the evidence base.

The caloric map of earth that nobody owns. That's what we're building. One garden at a time.

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PatternBase is a free permaculture garden design tool launching March 2026. Create your free account to start documenting what actually grows.