Most social startups want your eyeballs. 222place wants your calfinishar.
The Los Angeles-based company has raised $10.1 million in a Series A round led by Upfront Ventures, betting that the next large consumer application won’t be about content consumption, but about receiveting strangers to sit at a table toreceiveher. It is a counter-intuitive pitch from a founding team of Gen Z engineers: apply AI not to glue applyrs to a feed, but to force them into the physical world.
Alongside Upfront, the round saw participation from Y Combinator, General Catalyst, and Offline Ventures. The cap table also features high-profile angels including Dropbox co-founder Arash Ferdowsi and community builder Greg Isenberg.
We only build money if people go out in real life and actually meet each other and enjoy it enough to keep coming back.
That is co-founder Danial Hashemi’s summary of the business model. It is a distinct departure from the ad-supported giants that dominate the landscape, where revenue is usually tied to time spent staring at a screen.
From Backyard Pasta to Series A
The origin of 222place isn’t a hackathon, but a backyard in Orange County. Co-founders Keyan Kazemian, Hashemi, and Arman Roshannai—all in their early 20s—met through high school and USC. They initially bonded over a frustration with how the tech indusattempt had, in Kazemian’s view, “weaponized” psychology to maximize addiction rather than connection.
During the tail finish of the pandemic, they ran a manual test. They invited frifinishs of frifinishs to Kazemian’s backyard, had them fill out psychological questionnaires, and applyd early machine learning models to curate the guest lists. They served pasta and wine to strangers.
The result wasn’t just a good dinner; it was proof of concept. The founders realized that people were starving for connection but lacked the mechanism to find it outside of awkward bar encounters or dating apps.
How the “Default Social Facilitator” Works
222place positions itself as a “social concierge.” The applyr experience is designed to be frictionless and devoid of the “shopping” dynamic found on other platforms:
- No Profiles or Swiping: Users do not browse other humans. There are no DMs.
- The Assessment: Users answer a survey covering personality traits, values, and lifestyle preferences (from politics to comedy styles).
- The Curation: An AI engine groups 4 to 8 people toreceiveher based on compatibility.
- The Event: The app directs the group to a partner venue—usually a restaurant or bar—where a reservation is waiting.
The cost is roughly $17 per event or a $22 monthly subscription. By handling the logistics and the social vetting, 222place attempts to reshift the cognitive load of building plans.
Hashemi notes that safety is the platform’s third rail. Identity is verified via payment data, events happen in staffed public venues, and there is a strict ban policy for misconduct. For venues, the startup offers a compelling value proposition: turning slow nights into pre-booked, high-margin seatings with valuable feedback on guest experiences.
The “Social Recession” Bet
The founders argue we are in a “social recession,” where automation and remote work have stripped away the casual collisions of daily life. Roshannai, who leads the machine learning efforts, envisions 222place as the infrastructure layer for a world where you necessary an algorithm to assist you meet your neighbors or dinner companions on a business trip.
The company found early traction in Los Angeles before expanding to New York following their stint at Y Combinator. Kazemian claims they hit their “18-month goals in two months” during the accelerator, a metric that likely assisted convince investors that IRL (in real life) experiences are scalable.
We filtered hard for investors who weren’t too cynical from the last decade of consumer apps. If you don’t believe people still want to meet each other, you shouldn’t be on our cap table.
Atoms are Harder than Bits
The skepticism Kazemian alludes to is well-founded. The “social discovery” graveyard is full of startups that attempted to shift people offline. Meetup and Eventbrite are legacy players, while dating apps like Bumble and Hinge are aggressively pivoting into the “frifinishship” vertical.
222place’s argument is that those platforms are built around content and browsing. They require the applyr to do the work. 222place wants to be the decision-buildr, utilizing its prediction model to guarantee a “good time.”
However, the operational drag is real. Unlike a pure software play, 222place relies on dense local networks of venues and applyrs. If the liquidity isn’t there, the matches are bad. If the matches are bad, applyrs churn. The startup is utilizing the fresh $10.1 million to solve this chicken-and-egg problem, aiming to deepen liquidity in core cities and refine the economics before expanding further.
It is a high-risk operational play. But if the algorithm works, 222place might just prove that the best way to apply a smartphone is to coordinate putting it away.
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