For some 20-somethings, the problem with dating apps is not only finding a match. It is the hours spent swiping, messaging and trying to turn a digital introduction into an actual date.
Ditto, a dating startup built by co-founders Allen Wang and Eric Liu after they dropped out of UC Berkeley, is betting that the next version of online dating will feel less like browsing and more like being set up. Its approach replaces the familiar swipe feed with an AI matchmaker that moves users toward a scheduled in-person meeting.
From Swiping To Setup
Ditto is designed around a simple complaint: many young daters are tired of endless swiping and repetitive small talk. Instead of asking users to evaluate profile after profile, Ditto begins through text. College students sign up by messaging a specific iMessage number along with a code.
The chatbot introduces itself as Ditto and frames the service around dates, not feeds. The pitch is direct: no swiping, no awkward DMs and real dates every Wednesday at 7 pm.
That structure changes the role of the dating app. A conventional swipe app gives users a large pool of people and asks them to do the filtering themselves. Ditto collects information, makes a match and sends the user the practical details needed to show up.
The onboarding process starts with basic biographical information, including name, gender and birth date. From there, Ditto asks more detailed questions about personality, interests and dating preferences. Some users also upload photos of celebrity crushes so the AI can better understand the type of person they are drawn to.
How Ditto Reads Compatibility
Ditto’s matching idea is not limited to putting people together because they list the same hobbies. The company is trying to infer what interests suggest about personality and chemistry.
Wang’s example is a match between someone interested in rock climbing, skydiving and outdoor sports and someone interested in hip hop, streetwear and skateboarding. Those activities do not look identical, but Ditto may read both people as adventurous or individualistic. The company’s claim is that chemistry can be predicted when the right signals are available.
That is a different promise from a profile-driven app where users scan bios, photos and prompts on their own. Ditto is asking users to trust the system to interpret the information behind the profile and convert it into a weekly introduction.
The weekly rhythm is central. Every Wednesday at 7 PM, Ditto messages users with their match for that week. The message includes the person, a time and a location. After the date, Ditto collects feedback and uses it to improve its understanding of the user before sending them to another date.
Why The Model Appeals To College Students
Ditto’s early audience is college students, and that focus shapes both the product and the safety model. While the service is available only at a few dozen colleges, students are connected in an environment where they can know the other person is also at their university through a .edu email.
That does not eliminate every concern. Any dating app that shortens the time between matching and meeting has to think carefully about safety, identity and user trust. The challenge becomes sharper if Ditto expands to more schools and eventually beyond college.
For now, the college setting gives Ditto a narrower launch environment. It also fits the company’s stated goal of reducing friction. The product is not optimized for keeping people inside an app for long conversations. It is built to get them out to meet someone.
Several elements of the model are meant to remove common steps from the user’s workload:
- The match is selected by Ditto rather than through a swipe queue.
- The introduction happens over text rather than inside a typical dating app interface.
- The date arrives with a person, time and location already attached.
- Feedback after the date becomes part of the next matching cycle.
That makes Ditto less like a social feed and more like a recurring matchmaking service. Users still provide personal information and preferences, but the product takes over more of the coordination.
Growth, Funding And Marketing
Ditto has 150,000 signups, and Wang says about 20% of matches connected through Ditto end up going out on a date. The company has also raised $9.2 million in seed funding from investors including Gradient, Peak XV and Scribble.
Investor attention appears to have followed the company’s public visibility. Wang said 99% of investors reached out through inbound interest after Ditto became noticeable on LinkedIn and Twitter. He also said Duolingo co-founder Severin Hacker contacted him after seeing the company’s mission.
Ditto’s marketing has leaned into attention-grabbing stunts, including robot stunt videos. The company is now based in San Francisco and has twelve full-time employees. It is also hiring a Chief Yacht Officer to organize promotional parties, a role the source describes as a legitimate job listing.
The marketing fits the audience Ditto is chasing. Wang said college students can detect corporate marketing quickly, while viral moments help bring them into the funnel. But he also drew a distinction between attention and retention: the product has to deliver a good first date for users to stay.
What This Signals For Dating Apps
Ditto’s rise points to a broader frustration with swipe-based dating among young users. The company is not simply adding AI to an existing dating app pattern. It is using AI to redesign the sequence of online dating: collect context, choose one match, set the meeting and learn from the outcome.
That does not make the model easy to scale. Safety becomes more complex as the service grows. Matching people well also depends on whether the system can turn user signals and feedback into better real-world dates.
Still, Ditto shows why AI matchmaking has become appealing in a dating market shaped by fatigue. If users feel that swiping and messaging create too much work before a first meeting, a product that handles the setup may feel like a meaningful change. The question is whether that convenience can keep producing dates people actually want to go on.