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2025-05-20

Headquarters

NYC

Employee Count

4

Year Founded

2023

Amount raised

$2M pre-seed round, seed to be announced very soon

Business model

Pay per setup—users buy a pack of intros and only pay when both parties opt in

Early traction

$600K ARR (for April in NYC) with ~10k users in NYC, and 1000s on waitlists across the US

Investors

A16Z, Jeremy Liew, and others

Setting the Scene
  • Modern dating apps are built on misaligned incentives: they aim to keep users on-platform—monetizing attention through ads and subscriptions—while users are trying to delete the app.

  • This results in:

    • Superficial engagement and low-intent interactions.

    • User fatigue and a lack of intention behind swiping.

    • Limited matchmaking quality due to poor data and one-size-fits-all algorithms

  • This week’s company is redefining the dating category with an AI-driven matchmaking service where users only pay for successful, mutual matches—aligning incentives with outcomes.

In a Sentence

Sitch is an AI-powered matchmaking platform that makes high-intent introductions.

  • AI-powered: You share your preferences through a detailed intake and ongoing voice or text chats with a personal AI matchmaker that learns and adapts over time.

  • Matchmaking platform: A human-like chatbot facilitates warm intros and places matches into a group chat—like being set up by a mutual friend.

  • High-intent introductions: Users only pay when both sides opt in, increasing the likelihood that matches lead to real dates.

Bulleted Version

Imagine your most intuitive friend setting you up over group chat—except it’s AI, and it knows thousands of people.
Due Diligence
What We Like
  • Category Tailwinds: According to a 2023 study, 39% of couples now meet online—making dating apps the most common way Americans meet their partners (check out this fascinating study) despite growing user dissatisfaction.

  • Business Model: Users only paying when both sides opt in, flips the incentive model of dating apps and reinforcing intent.

  • Hyper Personalized: A hyper personalized sign up form and combining AI with voice and text interactions creates a matchmaking experience that’s personal, warm, and scalable.

Potential Risks
  • Market Saturation: Even with a new model, building a dating product is notoriously hard—crowded with incumbents, noise, and users with limited trust or patience for new platforms.

  • Retention Dynamics: While early traction is strong, long-term engagement and repeat behavior (after a successful match) remains unproven—there may be a reason no other model has cracked dating.

  • Educational Challenge: The high-intent, pay-per-match model is compelling—but educating users and shifting expectations from swipe culture will take time.

Founder Profile
NM
Nandini Mullaji
2x consumer founder and Stanford GSB.

CD
Chad DePue
Previously Senior Director at Snap, CTO, Whisper and SVP Eng, Uniswa.

Comps

WhySitch

Sitch is reinventing the matchmaking playbook with AI-driven curation and a pay-for-results model—setting the company up for success.

*Nothing in this content constitutes investment or legal advice. Conduct independent diligence and consult professional advisers before making investment decisions.*

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