Building Klimatt

A smarter way to track farm markets in Kenya

Over the past few months I’ve been building Klimatt, a farming platform focused on helping farmers make better decisions using market data and simple management tools.

A big part of the project started after I found food price datasets from Kenya provided through WFP/FPMA records. I began experimenting with parsing the CSV data using Go and exposing it through APIs to a React frontend.

The idea slowly grew into something bigger.

Current features

• 📊 Market price tracking from markets across Kenya
• 🌽 Commodity and stock keeping
• 🛒 Marketplace where farmers can post and discover products
• 📅 Farming calendar for tracking activities like planting schedules and rainfall periods

Working with real agricultural data

One of the most interesting parts has been working with real agricultural datasets:

• normalizing prices
• grouping commodities by region
• comparing markets
• calculating trends

Example:

router.GET("/api/prices/latest", func(c *gin.Context) {
    c.JSON(200, response)
})

Tech stack

Go + Gin
React + TypeScript
CSV ingestion pipelines
n8n automation experiments

I recently made a short Loom walkthrough showing the direction of the project:

Still a work in progress, but it’s been exciting building something around a real problem affecting farmers and market access.

Would love feedback from anyone working in:

• agri-tech
• logistics
• data engineering
• market systems
• Go backend development