UNEARBY
SayHi Chat - Meet New People
Publisher DNA
What defines UNEARBY?
AI intelligence is not yet available for UNEARBY. The portfolio data below is up to date.
Portfolio
What does UNEARBY ship?
Apps
1 app analysed
Find, chat and date people & singles nearby to make friends
Modular plugin architecture allows for personalized interface customization
- The core social interaction loop provides an engaging way to pass time for casual users
- Users report: High prevalence of fraudulent accounts and bots undermines the safety of the social environment
Distributed across 11 markets, strongest in Europe.
Based on 1 of 1 app with localized market data ยท last scanned .
Americas (3)
- Brazil1 / 1
- Mexico1 / 1
- United States1 / 1
Europe (7)
- France1 / 1
- Germany1 / 1
- Italy1 / 1
- Netherlands1 / 1
- Portugal1 / 1
โบ+2 more europe markets
- Spain1 / 1
- Sweden1 / 1
Asia-Pacific (1)
- Japan1 / 1
Core markets (1/1 apps)
User Sentiment
How do users feel about their apps?
0
Positive apps
1
Neutral / mixed
0
Negative apps
65/100
Avg sentiment score
Rivals
Who does UNEARBY compete with?
The rivals identified
Nemeses(1)
Both apps compete for the same social discovery audience by offering real-time interaction, though SayHi Chat focuses on map-based proximity while LiveMe centers on live-streamed content.
Contenders(5)
Both apps target individuals seeking social discovery and new connections, with HMU competing for the same user base by prioritizing trust through manual profile verification.
Both applications target individuals seeking social discovery through video-based interactions, creating direct competition for users prioritizing real-time connection over static profiles.
Both apps target individuals seeking social discovery and video-based interactions with strangers, creating direct competition for the same user base.
Both applications target individuals seeking spontaneous social connections through video and text, competing for the same user base interested in discovery-based social interaction.
Both apps target local social discovery using proximity-based matching, forcing users to choose between SayHi Chat's map-based interface and 1km's photo-feed community structure.
Same space(8)
Tagged shares the social discovery space but shifts focus to livestreaming, which contrasts with the map-based proximity model.
Date in Asia targets a similar demographic in Asia but uses generative AI to simplify profile creation, unlike the manual plugin-based customization.
Yaki competes for global social discovery through video, but emphasizes automated translation to bridge language gaps not explicitly addressed in the source.
ChatUp functions as an emerging social discovery platform that uses interest-based matching, providing a different discovery logic than map-based proximity.
Uniee focuses on dating connections but prioritizes rich profile content to solve the stagnant conversation issue seen in broader social apps.
ShxHub operates in the random video chat space, focusing on user-driven profile exploration rather than map-based discovery.
์ฌ์ฌํ๋ฐค provides spontaneous random chat similar to the source, but introduces personality-based matching to differentiate the connection quality.
Fachat offers a similar random-matching experience but uses a simplified one-tap interface that contrasts with the plugin-based architecture.
