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True Item Hunter

True Item Hunter

A Roblox experience owned by NoNet.

MinigamesENitem identificationsocial deductiongroup reward

True Item Hunter is a minigames experience created on 2023-07-16. The game has accumulated 539,944 lifetime visits and 76 favorites. Currently, zero players are active. The experience holds a 75% like percentage. No additional metrics are provided in the source data.

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

Welcome To True Item Hunter ⭐️ 🔎 Check correct item ✨ Find item that looks the same ✅ Submit the item you think is correct ⌛ Wait for other players -------------------------------------------- 👍 Likes are heavily appreciated 👍 ------------------- Join The Group For 5 Markers and 5 Cancels GROUP LINK: https://www.roblox.com/groups/16785875/NoNet#!/about

Last updated by the developer 13 May 2025, 08:47 UTC.

0
playing (measured 10 Aug 2026, 15:34 UTC)
539,944
lifetime visits
75%
liked (114 👍 / 39 👎)
76
favourites (0.1 per 1k visits)
16 July 2023
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 We do not publish numbers we have not measured.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
10 Aug 2026, 15:340first reading

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

Monetization — game passes

Speed Coil
60 R$
Gravity Coil
30 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

WELCOME · welcome485,801 · 100.0% win
Welcome (Again) · welcome36,591 · 80.0% 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.