
One
One - Meet People Here.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor investor investor investor investor investor investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
$150k | Seed | ||
Total Funding | 000k |
USD | 2020 | 2021 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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ONE operates as a proximity-based social discovery platform designed to connect individuals in the real world by identifying shared interests. The mobile application functions by running in the background on a user's device, collecting their specified interests, and then alerting them when they are physically near another user with common passions. The service aims to facilitate various types of connections, from friendships and business networking to potential romantic relationships.
A key technological component of the platform is its patented micro-localization technology, which provides enhanced indoor positioning accuracy. This allows the application to identify potential matches within the same room, offering a more granular level of proximity detection compared to standard GPS technology that might only identify someone several blocks away. The matching algorithm is designed to learn from user behavior, refining its suggestions and personalizing the experience over time.
The initial target market for the application was college students, with a rollout across more than 20 campuses including Harvard, Princeton, Yale, and Stanford. The business model is centered on providing a mobile application that acts as a persistent, passive tool for discovering relevant people and events in a user's immediate vicinity. It monetizes by offering a heightened level of awareness about one's surroundings, positioning itself as a utility for spontaneous, real-life interactions.
Keywords: social discovery, proximity networking, interest-based matching, real-world connection, micro-localization, indoor positioning, hyperlocal networking, college campus app, social connection, event discovery, personal networking, location-based matching, serendipity engine, background location, shared interests, real-time notification, matching algorithm, professional networking, social utility