Plantory is an AI garden planner. Design your garden on a to-scale 2D canvas, get plant picks for your climate and soil, spot diseases from a photo, and never miss a frost alert. 400,000+ plants, 8 languages. Free 14-day trial, cancel anytime. Product Hunt exclusive: 50% off your first year with code GARDENER50.
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Maker
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Hi Product Hunt! 👋
I'm Prokop, maker of Plantory.
I'm a software engineer, and I spend my days deep in AI – a world that moves so fast that just keeping up is a job in itself. My escape has always been the garden: the one place where nothing can be rushed. So I connected the two things I love. I wanted the fastest-moving technology I know to help me take care of the thing that refuses to be hurried – a living garden. That's Plantory.
The problem we kept seeing: gardening advice online is generic. "Full sun, well-drained soil" tells you nothing about *your* bed, behind *your* house, in *your* climate. So plans live in notebooks, plants die in the wrong spots, and every spring starts from scratch.
Plantory fixes the missing context. You draw your garden to scale – beds, paths, orientation – and every answer the AI gives is grounded in that plan plus your hardiness zone, soil, and sun. It recommends plants from a 400,000+ species database, spots diseases from a photo, warns you before frost hits, and turns the plan into seasonal tasks.
What's live today: the 2D canvas planner, garden-aware AI chat, AI visualizations of your future garden, plant ID and disease detection, weather alerts, task planning, 3D view, and mobile photo capture with GPS placement. In 8 languages.
Try it free – there's a Hobby plan and a 14-day full trial with no card. For the PH community, code GARDENER50 takes 50% off your first year (applies automatically).
I'd love your feedback – especially from anyone who's tried planning a garden in a spreadsheet or a notes app. What would make you trust an AI with your garden? 🌱
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the frost alert is the one I'd stress test - is that pulling from a regional forecast or does it actually account for the specific spot in the yard? a bed against a south facing wall and an open exposed corner of the same garden can be several degrees apart on a cold night, and that's exactly the kind of gap that turns "never miss a frost" into a false sense of safety
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@galdayan fair challenge, and honest answer: it's a point forecast for the garden's coordinates (Open-Meteo), not per-bed. We don't model microclimates inside the garden yet. You're right that a south facing wall vs an open corner can be several degrees apart on a clear night - thats exactly why the alert fires at +2°C forecast minimum instead of 0. The buffer is there to cover the cold spots the forecast can't see. So the failure mode is a warning your sheltered bed didn't strictly need, not silence while the exposed corner freezes. Per-bed microclimate is on the wishlist (we already have the plan geometry, walls included), but I won't pretend it's in there today.
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The to-scale 2D canvas is such a smart call — way more useful for actual spacing decisions than those generic drag-and-drop grids most garden apps throw at you. Really thoughtful piece of design.
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@alsac_zafe13716 Thanks Zafer! Spacing was the whole point - a generic grid can't tell you a hosta will swallow the path in two years, a to-scale plan can.
Fun bonus: once the 2D plan is drawn, you can flip it into a 3D view of the garden (screenshot below) - same data, just rendered with real plant heights and spreads. Great for checking what a bed will actually look like once things mature.
What are you planning to map first?
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Plotted out my tiny herb patch in about ten minutes and the plant suggestions actually matched my shady balcony. The disease-spotting photo tool worked surprisingly well on a crispy basil leaf.
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Maker
@ebubekirna9spz Ten minutes for a full herb patch is exactly what we aim for, thanks Ebubekir! Shady balconies are an underrated test case - most apps just assume everyone has a sunny backyard.... And glad the disease tool earned its keep on the basil 😄 was it overwatering or a fungus?
Curious what it caught - crispy leaves are one of the trickier calls because five different problems look almost identical.
the frost alert is the one I'd stress test - is that pulling from a regional forecast or does it actually account for the specific spot in the yard? a bed against a south facing wall and an open exposed corner of the same garden can be several degrees apart on a cold night, and that's exactly the kind of gap that turns "never miss a frost" into a false sense of safety
@galdayan fair challenge, and honest answer: it's a point forecast for the garden's coordinates (Open-Meteo), not per-bed. We don't model microclimates inside the garden yet. You're right that a south facing wall vs an open corner can be several degrees apart on a clear night - thats exactly why the alert fires at +2°C forecast minimum instead of 0. The buffer is there to cover the cold spots the forecast can't see. So the failure mode is a warning your sheltered bed didn't strictly need, not silence while the exposed corner freezes. Per-bed microclimate is on the wishlist (we already have the plan geometry, walls included), but I won't pretend it's in there today.
The to-scale 2D canvas is such a smart call — way more useful for actual spacing decisions than those generic drag-and-drop grids most garden apps throw at you. Really thoughtful piece of design.
@alsac_zafe13716 Thanks Zafer! Spacing was the whole point - a generic grid can't tell you a hosta will swallow the path in two years, a to-scale plan can.
Fun bonus: once the 2D plan is drawn, you can flip it into a 3D view of the garden (screenshot below) - same data, just rendered with real plant heights and spreads. Great for checking what a bed will actually look like once things mature.
What are you planning to map first?
Plotted out my tiny herb patch in about ten minutes and the plant suggestions actually matched my shady balcony. The disease-spotting photo tool worked surprisingly well on a crispy basil leaf.
@ebubekirna9spz Ten minutes for a full herb patch is exactly what we aim for, thanks Ebubekir! Shady balconies are an underrated test case - most apps just assume everyone has a sunny backyard.... And glad the disease tool earned its keep on the basil 😄 was it overwatering or a fungus?
Curious what it caught - crispy leaves are one of the trickier calls because five different problems look almost identical.