Good Earth — climate timing for cottage gardens and small farms

Draw your plot on a map. Good Earth works out the weather on that ground — growing degree days, first and last frost, soil temperature, planting windows, disease weather and drying days — and how much it varies across your plot, from its terrain. Many weather services answer for one station miles away; this answers for your beds and fields.

What it answers

• Where the season stands: heat since January, against the last ten seasons.
• First and last frost for your ground, and this week's risk to its coldest spot.
• When the soil is ready, when to start seed and set it out, and the last sowing that still finishes.
• Each planting's progress toward harvest, and whether it beats the frost.
• When pest stages arrive, and when your own wildlife or livestock events fall.
• Whether a fruit tree survives the winters here and gets its chill.
• Disease weather from five published models, and the dry days for cutting, picking and mowing.
• Tasks with a calendar feed, field notes, and sharing a plot with another grower.

What it will not do

It never recommends a pesticide or treatment — those questions go to your local extension service. Crop targets and pest thresholds are yours, and wetness is estimated from weather models, never measured.

How it is paid for

No account, card or email. You sign in with a Nostr key and keep a small prepaid Bitcoin Lightning balance that pays for each answer. The guides, glossary and sources are free to read. Good Earth runs on the Tollbooth DPYC network, which is its payment layer.

For AI assistants

Good Earth is agent-ready: this app is one client of an MCP server, and any MCP client can call the same tools at https://goodearth-mcp.fastmcp.app/mcp (streamable HTTP, no account or API key). The assistant asks for the grower's Nostr npub, confirms it with a direct message the grower answers, and pays each answer from the grower's prepaid Lightning balance. /llms.txt gives the connection steps.

Free to read

• Guides — the life of a plant, an insect, a tree, an animal and a fungus
• What the words mean
• Sources and models · About
• A plain-text summary for AI assistants · Source code