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[VC] Convince! 18+

[VC] Convince! 18+

A Roblox experience owned by H1GE.

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

🎤 Welcome to Convince! ⚠️ Voice chat required. How to play: 🤝Choose or make your own topic of debate in YOUR CALL ⚡ QUICK PLAY drops you into the next debate 🗣️ 3-5 players · two rounds · 4-minute matches 🤖 Ten AI judge personalitites who commentate the debate 🗳️ Players rank each others arguements to decide who did it best. 🏆 Climb from Heckler to THE CONVINCER 🪑 Unlock and trade chairs and reactions 🕗 DEBATE HOUR nightly, 8PM ET 18+ only: adult topics and strong language. 👍 Like and ⭐ favorite! It really helps! Tags: debate, voice chat, vc, argue, ai judge, party, social, roast, opinions, hot takes, 18+

Last updated by the developer 19 Sept 2026, 23:48 UTC.

0
playing (measured 20 Sept 2026, 21:01 UTC)
288
lifetime visits
80%
liked (4 👍 / 1 👎)
17
favourites (59.0 per 1k visits)
14 August 2026
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 We do not publish numbers we have not measured.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
20 Sept 2026, 21:010first reading

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

Monetization — game passes

Press Pass
250 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

First Impression · welcome233 · 0.00% win
Opening Statement · progression6 · 0.00% win
Case Closed · progression6 · 0.00% win
Regular · progression0 · 0.00% win
The Convincer · progression0 · 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.