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Garden Discovery [Beta]

Garden Discovery [Beta]

A Roblox experience owned by Blue Tree Studio.

SimulatorENbotanycollectionsimulation

Description (written by the developer; not a statement by this register)

🌿 Welcome to Garden Discovery! 🌿 Buy seeds, grow plants, discover unique plant combinations, and complete your Herbarium! 🌱 Grow a variety of plants • 🧬 Discover new species 📖 Fill your Herbarium • 💰 Sell plants and buy more seeds 🌼 Relax and enjoy the journey 🖥️ Supported Platforms: ✅ PC • 📱 Mobile • 📲 Tablet 🧪 Currently in Beta — We're actively improving the game and appreciate your feedback in our Discord community! Have fun discovering every plant! 🌸

Last updated by the developer 17 Aug 2026, 17:48 UTC.

0
playing (measured 17 Aug 2026, 20:07 UTC)
1,027
lifetime visits
100%
liked (3 👍 / 0 👎)
8
favourites (7.8 per 1k visits)
5 August 2025
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
17 Aug 2026, 20:070first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Infinite Water Can
449 R$
VIP
99 R$
Faster Growth
69 R$
Greenhouse Slot IV
49 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

Meet the Developer · other16 · 0.00% win
First Combination · collection7 · 0.00% win
Ultimate Discovery · collection4 · 0.00% win
Millionaire · progression4 · 0.00% win
Discovered All1 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.