Italian Brainrot Merge Tycoon
A Roblox experience owned by Izzaine Studios.
TycoonENItalian Brainrot MemesMerge MechanicTycoon
Italian Brainrot Merge Tycoon is a Roblox experience in the tycoon genre, created on May 5, 2025. The game has accumulated 1,875,551 lifetime visits and 171,589 favorites. It maintains an 88 percent like percentage. Currently, zero players are active in the experience.
Description (written by the developer; not a statement by this register)
This Game is NEW! Italian Brainrot Merge Tycoon! Can you merge All the italian brainrot?? 💎 Collect Drops 📠 Deposit Into Brainrot Machine 💸 Gain Cash ♻️ Merge Italian Brainrot LIKE The Game and Join Group For +50% Drops Speed! Tags: Italian Brainrot | Guess Italian Brainrot or Die | Better Italian Brainrot? | Survive Tung Tung Tung The Killer! | TUNG TUNG BARRY'S PRISON RUN! (Obby) | Viral Italian Brainrot Memes (2025) Tralalero Tralala, Bombardiro Crocodilo, Ballerina Cappuccina, Brr Brr Patapim, Trippi Troppi Troppa Trippa | tung tung tung tung sahur | Be a Italian Brainrot | Guess Italian Brainrot or Die | Brainrot Evolution | Find The Italian Brainrot | Survive TUNG SAHUR In Area 51
Last updated by the developer 4 Aug 2026, 00:32 UTC.
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 We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 23:15 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
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
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.