Top Social Networking — Top Grossing apps in Brazil 🇧🇷
As of May 16, 2026, Grindr - Gay Dating & Chat is the #1 Social Networking — Top Grossing app in Brazil on iOS.
#App / PublisherCategoryIntel
- 1
- 21
- 31
- 4
- 5
- 6
- 73
- 8
- 92
- 101
- 11
- 12
- 13
Redes sociais - 141
- 152
- 163
- 171
- 184
- 192
- 204
Redes sociais - 213
Redes sociais - 22
- 239
- 242
Redes sociales - 252
- 267
Redes sociais - 27
- 283
Redes sociais - 298
- 304
Redes sociales - 31
- 324
- 3313
Redes sociais - 346
Redes sociais - 354
- 3632
Redes sociais - 373
Redes sociais - 389
- 399
- 402
Redes sociais - 4122
- 421
- 431
- 449
- 4529
Redes sociais - 4619
- 4712—
- 485
Redes sociais - 4913
Redes sociais - 505
What changed
Movement between the previous day and May 16, 2026.
New entrants
Risers
- Hago- Festa, Conversa, jogos
#68 → #36
- Suprema Poker
#74 → #45
Linky AI: AI Chat&Char Maker#94 → #70
Whasapp Deleted Message Backup#88 → #65
- Dating.com: Global Chat & Date
#63 → #41
Fallers
Clapper: Video, Live, Chat#47 → #75
Kako: Live, Vídeo & Chat#50 → #72
Peko - Connect, Video Chat#57 → #78
TalkU: Unlimited Calls + Texts#81 → #99
Repost For Instagram¹#70 → #87
Methodology
Rankings are pulled daily from the iOS store charts for Brazil. We snapshot the top entries each day and compute day-over-day change relative to the prior snapshot. See our full methodology for data sources, refresh cadences, and quality filters.
Frequently asked questions
What is the #1 Social Networking — Top Grossing app in Brazil on iOS?
As of May 16, 2026, Grindr - Gay Dating & Chat is the #1 Social Networking — Top Grossing app in Brazil on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Brazil every day and computes day-over-day movement. The "Current" page always reflects the latest snapshot; dated archive pages preserve each day's top 50.
Where does Marlvel's ranking data come from?
Rankings are pulled from the public iOS store charts for Brazil. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.