Kama Pitch Deck: 23-Slide Pre-Seed Deck

Kama is a dating platform that positions itself as 'Tinder + OpenTable on Steroids.' The core value proposition is the automation of first-date logistics; when two users match, the app suggests a time, place, and discount at a partner venue. This teardown examines their 23-slide deck, which highlights a unique B2B subscription model where restaurants pay $99 per month to be featured as date locations. With early traction including 5,000 students on a waitlist and 50 partnering venues in New York, the deck leans heavily on the founders' Columbia University roots and a post-COVID recovery narra…

Key takeaways

• The startup identifies a massive efficiency gap where 80% of Tinder users never meet their matches in real life (Slide 15).
• Kama operates a B2B marketplace model, charging venues $99 per month rather than charging users for premium features (Slide 5).
• The product includes a 'Re-Date' feature to encourage retention and repeat business for partner venues (Slide 4).
• Traction is demonstrated through 500 personal interviews and a 5,000-student waitlist across Columbia and NYU (Slide 7).
• The founders leverage a strong academic and technical background, including experience in the Israel Defense Forces and student leadership at Columbia (Slide 11).
• The deck sets an ambitious long-term goal of a $1 billion valuation and 50 million users by 2025 (Slide 21).
• Kama seeks $500,000 in funding to achieve a $100,000 MRR and expand to 1,000 partnering restaurants (Slide 13).
• The strategy relies on a 'Campus-by-Campus' acquisition model, utilizing student ambassadors and college email list-servers (Slide 19).

Frequently asked questions

How does Kama actually make money?

Unlike most dating apps that charge users for 'super likes' or profile boosts, Kama's primary revenue stream is a B2B subscription. According to slide 5, they charge venues (restaurants, bars, and cafes) $99 per month to be the designated meeting spots for matches. The deck also mentions a potential future shift to a commission-based model, taking 10% of the total bill for every date facilitated through the app.

What is the 'Churn Rate Destroyer' mentioned in the deck?

Kama identifies two 'Churn Rate Destroyers.' The first is the immediate discount (10-20%) offered at a specific venue when a match occurs, incentivizing the meeting (Slide 3). The second is the 'Re-Date' screen, which prompts users after a date to either become 'soul mates' and schedule another meeting or depart as 'discoveries,' keeping the user engaged in the ecosystem regardless of the romantic outcome (Slide 4).

Is the app currently live and available for download?

At the time the deck was produced (late 2020), the app was listed as 'Pre-Order on the App Store' (Slide 8). The timeline on slide 10 indicated an iOS launch in November 2020, with an Android launch planned for July 2021. The deck provides a QR code and links to an MVP, suggesting a functional web app existed during the fundraising period.

How does Kama plan to compete with giants like Tinder and Hinge?

Kama's competitive moat is built on being an 'IRL-first' platform. Slide 6 argues that while competitors focus on digital engagement, Kama is the only app that sets up dates with discounts and remains completely free for users. By aligning with the user's intention to actually meet, they aim to solve the 'texting sucks' and 'ghosting' problems prevalent on traditional platforms.

What are the primary risks associated with this business model?

The model relies heavily on a two-sided marketplace. They need enough users to make the $99/month fee worth it for restaurants, and enough restaurants to provide variety for users. Additionally, slide 10 notes a plan to implement in-app payment infrastructure later, which is a significant technical and regulatory hurdle for a small team.

Kama pitch deck: the facts

Company

Kama

Stage

Pre-Seed

Slides

23

Sector

Marketplace

Kama pitch deck PDF

The full Kama deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the Kama pitch deck was used for

This is a pre-seed pitch deck dated November 7, 2020 for **Kama**, a dating app positioned as “Tinder + OpenTable” that automates the transition from a digital match to a scheduled in-person date. The product focuses on eliminating ghosting and ‘endless chat’ by immediately proposing a time and venue based on user preferences once two people match. Kama’s model relies on partnerships with local venues that host the dates and provide discounts, creating a B2B revenue stream in a category usually driven by consumer subscriptions. The deck appears aimed at raising an early pre-seed round to build and launch the product, leveraging initial traction among Columbia and NYU students and an advisor bench with venture and F&B experience.

Business model: Dating app and marketplace that automatically sets up in-person dates for matched users by partnering with local venues, generating B2B revenue via those partnerships.

Industry

Online dating / marketplaces.

Round: Pre-seed (as stated in the pitch deck context and materials).

Year: 2020 (deck dated November 7, 2020).

What the Kama deck got right

• Clear problem–solution fit around automating real-world dates. Kama clearly articulates a focused problem—ghosting and endless chat on dating apps—and a concrete solution by automatically scheduling real-world dates as soon as two users match, emphasizing a clear user journey from swipe to in-person meeting.
• Differentiated B2B marketplace model with venue partnerships. By partnering with local venues that host dates and offer discounts, Kama creates a two-sided marketplace that monetizes through B2B relationships rather than relying solely on user subscriptions, potentially differentiating it from standard dating apps.
• Strong early validation from targeted student niche. The deck highlights over 500 personal interviews and a waitlist of more than 5,000 Columbia and NYU students, with 95% indicating willingness to try the product, demonstrating substantial early interest and an engaged initial target market.
• Built-in safety focus through venue choice and GPS tracking. Kama emphasizes safety by holding dates at partner venues and including a GPS tracking option that allows users to share their live location with a trusted contact during the date, addressing a critical concern for online daters.
• Notable advisors with relevant venture, F&B, and dating experience. The presence of advisors such as venture capitalist Jerry Neumann, KettleSpace co-founder Daniel Rosenzweig, and online dating founder Nessim Zouaoui suggests access to guidance on fundraising, hospitality partnerships, and dating-product design.
• Memorable, easy-to-understand positioning and messaging. Branding Kama as “Tinder + OpenTable. On Steroids” provides a concise, memorable positioning that immediately signals its dual focus on dating and reservations, likely helping investors and users quickly grasp the concept.

What could have been stronger

• No externally confirmed funding or investor participation. The deck repeatedly references a pre-seed stage and highlights a Columbia/NYU waitlist, but there is no externally verifiable information on any amount raised, investors involved, or whether the round closed, which leaves prospective readers unable to benchmark investor validation or capital runway.
• Limited visibility into founding team composition and execution track record. While the deck lists advisors with backgrounds in venture capital, food and beverage, and online dating, there is no sourced evidence of a dedicated full-time founding team with complementary skills (e.g., CTO, product lead, operations), nor any details on team size or prior execution track record. This makes it difficult to assess execution capacity.
• Moat and competition claims lack comparative evidence. Kama positions itself as unique in being a B2B dating marketplace partnering with venues and offering exclusive discounts, yet the available materials do not provide comparative data against other emerging apps that also minimize chat and automate dates. Without a systematic competitor analysis, investors may question how durable the proposed moat really is in an increasingly crowded ‘anti-ghosting’ dating segment.
• Traction focused on intent and research rather than live usage metrics. The deck cites over 500 interviews and a 5,000-person student waitlist with 95% willingness to try, but there is no externally verifiable evidence of actual launched product metrics such as active users, retention, or revenue, nor any clear timeline to launch. This may raise questions about how quickly the concept can move from research and waitlists to real usage and revenue.

How an investor would read this deck

What draws attention

• Product concept that directly converts matches into scheduled dates, reducing friction and addressing ghosting and ‘endless messaging’ by auto-generating time and place for dates.
• Marketplace positioning that creates a B2B revenue stream via partnerships with local venues, potentially aligning incentives between daters and businesses and differentiating from subscription-based dating apps.
• Early traction among Columbia and NYU students, including over 500 personal interviews and a 5,000+ person waitlist with high stated willingness to try the product, suggesting problem–solution fit in a defined niche.
• Advisor bench featuring a venture capitalist (Jerry Neumann), a co-founder of workspace-sharing platform KettleSpace (Daniel Rosenzweig), and a founder of an online dating platform (Nessim Zouaoui), which could offer guidance in fundraising, hospitality partnerships, and dating-product design.

Risks that stand out

• Absence of public information on completed funding rounds or later-stage traction suggests uncertainty about whether the company has secured sufficient capital or achieved product–market fit beyond early student interest.
• The business relies heavily on strong partnerships with local venues, which may be sensitive to macro factors (e.g., pandemics, shifts in dining behavior) and could be difficult to scale city by city without a sizable sales or partnerships team.
• User adoption depends on people being comfortable delegating date logistics to an app and going directly from match to in-person meeting, which may not align with the preferences of users who want more pre-date messaging or vetting.
• The online dating category is highly competitive, with incumbents and new entrants experimenting with similar anti-ghosting and IRL-focused mechanisms, so there is a risk that larger platforms could replicate the core feature set and leverage their existing user bases.

Questions this deck invites

• What is the current status of the product (prototype, beta, or full launch), and what externally verifiable metrics (DAUs, MAUs, date completions, retention) demonstrate that users follow through from match to in-person date?
• How many venue partners are currently active, what contractual or revenue-sharing structures are in place, and what evidence is there that venues see measurable ROI from participation (e.g., incremental foot traffic, repeat bookings)?
• Has Kama raised any capital beyond the pre-seed deck, and if so, from which investors, at what amounts and terms, and how has that capital been deployed to date (team, product, growth)?
• How does Kama ensure user safety and manage liability when automatically scheduling dates at third-party venues, and what feedback has it received on its GPS tracking and safety protocols from early users or legal advisors?
• In a market where other apps are also experimenting with reducing ghosting and emphasizing in-person dates, what defensible advantage does Kama have (e.g., exclusive venue networks, proprietary matching and scheduling algorithms, brand amon

What founders can take from the Kama deck

• Positioning a dating product as a marketplace between users and venues can open B2B revenue options and partnerships not available to pure subscription-based apps, potentially improving unit economics if the marketplace side scales.
• Grounding a pitch in extensive user research and a defined early niche—here, more than 500 interviews and a 5,000+ student waitlist at Columbia and NYU—can make a pre-launch concept more credible by demonstrating demand and problem understanding.
• Framing a product as a combination of familiar services (for example, “Tinder + OpenTable, on steroids”) can quickly communicate value to investors and users by anchoring in known brands while signaling differentiation.
• Integrating safety features—such as requiring dates at partner venues and offering GPS location sharing with trusted contacts—addresses a critical concern in dating products and can be a key part of both user trust and investor narratives.
• Highlighting advisors with relevant sector experience (venture capital, F&B, online dating) can partially offset limited team track record by signaling access to expertise and networks that may be important for fundraising and partnerships.

Kama pitch deck: common questions

What is Kama and how does it work?

Kama is a dating app that automatically turns a mutual match into a scheduled real-world date by selecting a time and place based on each user’s availability and preferred activities. It partners with local venues such as restaurants, bars, cafés and ice cream shops, which host the dates and can offer discounts, positioning Kama as both a dating app and a marketplace between daters and venues.

How does Kama differ from traditional dating apps like Tinder or Hinge?

According to an interview with the founders, users sign up, specify their time availability and favorite types of venues, then swipe as on a typical dating app. When two people match, Kama suggests a concrete date (location and time) based on those preferences, so users do not have to negotiate logistics themselves. The pitch deck further emphasizes a post-date feedback and re-date flow that classifies pairs as “soul mates” or “discoveries,” and aims to reduce churn by facilitating follow-on dates.

What is Kama’s business model?

Kama earns money by partnering with local businesses that serve as the venues for dates, instead of charging users subscriptions or in-app purchases. In the GetSetDate interview, the team explains that these partner venues provide discounts and an “exclusive dating experience” to Kama users, implying a B2B relationship where Kama drives foot traffic and spending to the venues. The deck itself highlights that Kama is the “only B2B dating” solution and “only marketplace for daters and venues,” contrasting this with standard B2C dating apps.

What traction had Kama achieved at the time of its 2020 pitch deck?

The deck states that Kama had conducted over 500 personal interviews and accumulated a waitlist of over 5,000 Columbia and NYU students, with 95% expressing willingness to try the app. The GetSetDate interview, published around late 2020, corroborates that the initial user focus was on college students in New York City, including Columbia University and NYU. However, there are no readily available public funding announcements or user growth metrics beyond these early-stage traction claims.

Did Kama complete its pre-seed raise or have an exit?

Publicly available information confirms the product concept, early traction claims, and advisor involvement but does not show any completed funding round announcements, investor lists, or acquisition outcomes for Kama. Given the absence of news articles, press releases, database entries, or investor portfolio mentions, there is no externally verified record of a specific pre-seed or later round closing, nor of an exit or shutdown. Any details about the eventual outcome of the company beyond the deck’s claims remain undocumented in the sources found.

Sources

Funding and outcome facts on this page were researched on 2026-08-22 from the pages below.

• Kama App - Nadav Papay
• Take two: Ghosting on dating sites: r/polyamory - Reddit
• How We Made The Anti-Ghosting Dating App - Elatewww.elatedate.com › blog › the-anti-ghosting-dating-app
• Skip the chat: New dating app wants less talk and more meet-ups for the matches it helps make
• Entrepreneur Interview: Dating App Kama — GetSetDate
• I’m launching a dating app on March 1st that penalizes ghosting and rewards people who actually show up
• Kama pitch deck (Nov 7th 2020)
• If there is an dating/social app that try to prevent ghosting or shallow interaction like "Hey I like.. and you?" and your match don't text

Kama pitch deck slides

What each slide of the Kama pitch deck says

Slide 2

Problem Meet Jane and John 20, Student aig fos, 4 21, Student Columbia University < oo i Columbia University tried: @ H+ 4 ) 3 tried: @ ~. 8000 Swipes ra 150 Matches 1 Date Why? > Being ghosted > Handling logistics of first-date > Texting sucks > Swiping without any purpose

Slide 3

Solution | Tinder + OpenTable. On Steroids. Every Match = IRL Kama Date John and Jane match on Kama. Voila! - a real date is set up for them sa an = - Coa il - » ef 2 og 2.8 sol gppe—— | o a. q | @ Jenesmith pi @ Janesmith Ls 28 Lat | Ben& Jenks Time and Banc larry= 0 ELK j= place — = od] July 10th, 6:30PM 2 You have a 15% °¢ OKAMALL Go forthe date, have » discount, JIT TUIALE = == | 9 Col aE | ri la ofS Lz SENSES Chum Rate Destroyer #1 w 3

Slide 4

Tinder + OpenTable. On Steroids. Post-Date Feedback Screen They had a nice time together, and ARerifitdats = they Hey, just checking in. How was give Kama their somte feedback @ The meeting went fine Would you be interested in meet again? Yes, but just as friends Re-Date Screen Accordingly, they will either become "soul mates" and re-date. Or - they'll depart as "discoveries" \ John Williams another date Churn Rate Destroyer #2

Slide 5

Business Model USA Only Marketplace Daters $30-$70 Venues Pay per Date CT VN , MN — n nn $99 RR per month 110m Singles 660k Restaurants 32m dating app Se a 62k Bars users 10%-20% 31k Cafes Discount B2B Subscription Model - $120,000 Revenue Run Rate Expected by Dec 2020 based on 100 partnering venues ‘https://andrewchen cofhow-marketplaces-will-reinvent-the-service- economy!

Slide 6

Competition dtinder apid match' ®badoo Hinge ¥charmony Why Kama will win? Competitive Moat > Aligned with users' intention > Only app that sets-up dates with > Unique IRL Kama Date discounts Experience > Only B2B Dating completely free > Only Marketplace for daters and for users venues > Established partnerships with businesses

Slide 7

Achieved Traction Over 500 personal interviews Over 5000 students of Columbia & NYU students, on our waitlist and 95% are willing to try it out social media following "This solves my biggest problem with "Dates and discounts? Sounds really dating apps - actually . A cool, I'd be down to try it"' meeting my matches Female Sophomore at Male graduating Senior Columbia University at NYU Stern

Slide 12

Advisors and Interns Venture Capitalist Jerry Neumann - i % VC i Founder of Neu Venture Linkedin s Capital ) ) Entrepreneur Daniel Rosenzweig - Food & Beverage Co-founder of KettleSpace, Linkedin - a workspace-sharing platform Serial Entrepreneur Nessim Zouaoui - T Online Dating Founder of Lya Linkedin dating platform Established Student Evangelist Program at Columbia & NYU

Slide text above is read directly from the Kama deck PDF embedded on this page.

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