How It Works

Smart garden automation
in three simple steps.

PlantHub works in three layers: Sense — ESP32 sensors push soil moisture, temperature, humidity, and light data over MQTT. Think — AI evaluates your plant's condition using sensor history and weather forecasts. Act — the system waters, ventilates, or alerts you automatically.

How it works

Set up in five minutes.

Three steps from box to autonomous garden. No YAML. No soldering. No regret.

01

Flash once, then forget it.

Click a button in your browser — Chrome, Edge, Brave, or Opera — and PlantHub installs the firmware in about 30 seconds. No drivers, no Arduino IDE, no soldering. The node self-registers and shows an 8-character claim code.

Flash now in your browser
02

Claim it in the app

Paste the code, pick your plant. PlantHub loads its profile with AI-tuned ideal ranges, seeds starter automation rules, and the AI starts generating smarter ones from day one.

03

Pick a mode, let it run

Five AI modes from fully autonomous to notify-only. Override per tenant, per zone, or per plant — anytime. The AI adapts its check schedule to your plant’s needs.

Basil Planter
🌱 BASIL📍 Kitchen
AI
ONLINE
Health Score
87%
Optimal
Backend Insight

Your AI is currently learning about your Basil's care, showing promising results in watering with a typical growth response. Recent watering actions have positively impacted its health, indicating a foundation for refining its needs further.

Confidence: 82%🌱 Learning
Biometric VitalsLive Data Feed
soilMoisture52%
0%Ideal: 40–70%100%

Basil prefers consistently moist soil between 40-70%.

temperature22.4°C
-10°CIdeal: 20–30°C60°C

Optimal temperature for basil is between 20-30°C.

humidity62%
0%Ideal: 50–70%100%

Maintain humidity levels around 50-70% for healthy basil.

lightLevel824lx
0lxIdeal: 500–1200lx2000lx

Basil thrives in bright indirect light, ideally 500-1200 lux.

Next AI Evaluation: Today, 6:30 AM

Live demo

It doesn't just measure.
It thinks.

This is what a real PlantHub device page looks like. Sensor data flows in via SSE, AI evaluates your plant's condition, and actions are recommended — all in real time.

  1. 1Read. Sensors push readings over MQTT in real time. Each vital gets a live gauge + sparkline trend.
  2. 2Reason. AI compares readings against ideal ranges tailored to your plant species.
  3. 3Recommend or act. When sensors drift out of range, the system flags it and schedules an AI evaluation.
  4. 4Learn. Health scores improve as the AI gathers more data and refines its confidence.

Early access

Be first
in line.

We're launching soon. Join the waitlist for early-bird pricing, first access to hardware, and input on features we build next.

30% early-bird discount First access to hardware Shape the roadmap