Busted · Most Likely To is a social party game designed for groups to challenge each other with 'who’s most likely to' questions and dares. The app aims to facilitate social interaction through a library of over 2000 questions across categories ranging from sassy to absurd.
Overview · Full Intel report in progress
The App DNA
What makes this app unique?
For Social groups and friends looking for interactive party entertainment.
What does it look like?
Key features
A collection of over 2000 questions designed to spark conversation and reveal friend dynamics.
Integrated challenges and tasks that require players to perform actions beyond answering questions.
Content organized into specific themes including sassy, sexy, and absurd categories.
How much does it cost?
Velocity
Active developmentShow more...
5 versions in history. Development pace: active.
Who built it?
Panja
3 apps tracked · Games
User Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for Busted · Most Likely To
How's the Games market?
The rivals identified
By Behind The App
Both apps target the same social party demographic with identical who is most likely to gameplay mechanics. They compete directly for the same group-entertainment sessions during social gatherings.
- Exposed forces a mandatory PIN-based download for all participants, while Busted · Most Likely To lacks this viral acquisition mechanic.
- Exposed requires a three-player minimum for sessions, whereas Busted · Most Likely To avoids this restrictive entry barrier.
- Exposed gates content behind a subscription model, while Busted · Most Likely To provides a broader free-to-play library.
Unlock the head-to-head verdict: where this rival wins, and where it loses.
Access the full report for freeThe Analyst's Read
Key takeaways for Busted · Most Likely To
Where is it heading?
Bottom line
While the app offers a large library of social content, recent user feedback indicates significant technical instability and loading failures.
Report last updated