What is the core technology behind Friendfiz?

Friendfiz is built on Augmented Reality (AR). Its primary differentiator is 'FlipAR,' which allows users to see the profiles of people physically standing in front of them or within a few kilometers projected onto their mobile screens. It also includes 'Walkover,' a proximity-based feature that identifies people who have crossed paths with the user, similar to the functionality seen in apps like Happn.

How does Friendfiz plan to make money?

The business model is diversified across three main channels. First, it uses a standard advertising model, projecting $1 to $7.50 in revenue per user. Second, it offers 'Paid Profiles' ranging from $5 to $30 per month, with an estimated 3% conversion rate. Third, it sells 'Themes' for $2 to $7 per month, targeting a 5% conversion rate among its user base.

What is the 'ReliabilityScore' mentioned in the deck?

The ReliabilityScore is a trust-building feature designed to eliminate fake profiles. According to slides 3 and 19, the system uses various undisclosed factors to assign a percentage-based reliability rating to each user. This score is visible to other users, theoretically allowing them to gauge the authenticity of a person before interacting with them on the social network.

Who is leading the company and who has invested?

The company is led by Founder and CEO Rupesh Patil, who the deck states has over 10 years of experience and previously served as CEO of JSM Infosoft Pvt. Ltd. The deck identifies two previous investors, Amit Pundir and Sunil Sulchaniya, both associated with Zeal Mobile Publicity. It also lists two advisors, Rajeev Roy and Dr. Sanjeev Parashar, both with ties to the Indian Institute of Management (IIM).

Are the financial projections in the deck realistic?

The projections are exceptionally aggressive. Slide 17 forecasts growing from 5 million users in January 2017 to 50 million users by January 2018, with revenue jumping from approximately $213 million to $803 million in that same 12-month period. These figures assume high ARPU (Average Revenue Per User) and rapid viral growth without providing historical data to support these conversion rates.

Friendfiz Pitch Deck Teardown: An Augmented Reality Social

Friendfiz presents itself as a 'Dating cum Social Network' built on augmented reality. The deck focuses heavily on feature sets like FlipAR, which projects user profiles onto a mobile screen when standing near others, and a ReliabilityScore intended to combat fake profiles. While the deck outlines a multi-faceted business model involving advertising, paid profiles, and a developer framework, it suffers from a lack of current traction data. Instead, it relies on aggressive future projections, estimating $803 million in annual revenue by January 2018 based on a hypothetical 50 million user base…

Key takeaways

The company positions itself as a hybrid dating and social network platform using the tagline 'Dating cum Social Network' on slide 1.
Core product features include FlipAR, which projects profiles of people standing nearby onto the user's screen, and Walkover, which tracks who has crossed paths with the user (slide 3).
The business model relies on three primary revenue streams: advertisements, paid user profiles ($5 to $30/month), and custom themes ($2 to $7/month) as shown on slide 15.
Friendfiz plans to open a developer framework to allow freelance developers to build and upload apps to the platform (slide 5).
The founder, Rupesh Patil, is credited with relaunching and redesigning the platform in May 2014 (slide 9).
The deck lists two previous investors from Zeal Mobile Publicity and two advisors from IIM institutions (slide 11).
Revenue projections are highly ambitious, forecasting $803,000,000 in annual revenue by January 2018 from 50 million users (slide 17).
The deck omits a specific 'Ask' slide, failing to mention the amount of capital being raised or the intended use of proceeds.

Friendfiz Pitch Deck Analysis

Friendfiz enters the crowded social media and dating market with a specific technological hook: Augmented Reality. The deck, consisting of 20 slides (10 provided for this teardown), outlines a vision for a proximity-based social network that aims to bridge the gap between digital profiles and physical encounters. While the concept aligns with mid-2010s trends in AR and location-based services, the deck relies heavily on future-dated projections rather than current traction metrics.

Slide 1: Title and Positioning

The cover slide introduces the brand name Friendfiz with a mascot—a blue, winged tiger-like character. The subtitle, "Dating cum Social Network" , immediately defines the product's dual purpose. The slide includes a link to the website and a Google Play badge, suggesting that an Android version of the app was either live or imminent at the time of the deck's creation. The visual style is dated, using a dark blue background with abstract geometric shapes.

Slide 3: Our Solution to Pain Points

This slide introduces four core features intended to solve common social networking issues:

ReliabilityScore: A metric that tells users how reliable another user is, expressed as a percentage. The slide claims this is based on "many factors" but does not list them. · FlipAR: The primary AR feature. It projects the profiles of people standing in front of the user or within a few kilometers onto the mobile screen. · Walkover: A passive discovery feature that notifies users of people they have crossed paths with, whether they are existing friends or strangers. · PicStory: A photo editing tool allowing for stickers, filters, and handwriting, similar to features found in Snapchat or Instagram Stories.

Slide 5: Business Model

The business model slide uses a flow chart to explain the ecosystem. It identifies three main participants: Brands/Organizations , Freelance Developers , and Users . Brands pay for "Advertisemets" (spelled as such in the deck) to reach a large number of users. Freelance developers are encouraged to build apps on the "Friendfiz Framework." Users contribute to revenue by paying for "extra services," specifically "Paid Profiles and Themes." This indicates a hybrid revenue model combining B2B advertising with B2C microtransactions and subscriptions.

Slide 7: Marketing Strategy

Advertising: Utilizing pay-per-click ads on Facebook, Google, MGID, and Outbrain. · News: Generating PR and media coverage highlighting the app's features. · Campaigning: Direct promotion within organizations and institutions. · Promotions: Marketing through the promotion of social causes. · Sponsors in Events: Sponsoring various events across different fields to increase brand visibility.

Slide 9: Founder Profile

The deck highlights a single founder, Rupesh Patil , the CEO. The slide notes he is 28 years old and has over 10 years of "diversified experience." It specifically mentions his previous role as Director and CEO of JSM Infosoft Pvt. Ltd. in Indore. The slide claims he took over the responsibility to "relaunch and redesign Friendfiz" in May 2014, suggesting the project had a prior iteration before this pitch.

Slide 11: Investors and Advisors

Friendfiz lists two investors from previous rounds: Amit Pundir and Sunil Sulchaniya , both associated with Zeal Mobile Publicity. The slide also features two advisors: Rajeev Roy (IIM Ahmedabad) and Dr. Sanjeev Parashar (Chief Placement Officer, IIM Raipur). Including these names is intended to provide institutional credibility, particularly through the association with the Indian Institutes of Management.

Slide 13: Future Enhancements

Phase 01: Regional Stickers (City/State specific). · Phase 02: Implementation of AR into business areas like Job Search. · Phase 03: Opening the Friendfiz Framework to all developers. · Phase 04: Virtual Reality (VR) social networking on mobile devices. · Phase 05: Implementation of AR & VR in different business areas.

Slide 15: Revenue Projections (Unit Economics)

Advertisements: $1 to $7.5 per user. · Paid Profiles: $5 to $30 per month, with an estimated 3% of users subscribing. · Themes: $2 to $7 per month, with an estimated 5% of users subscribing.

The deck does not explain how these conversion rates (3% and 5%) were determined or if they are based on beta testing data.

Slide 17: Annual Revenue Growth

The financial timeline is the most ambitious part of the deck. It projects:

Jan 2017: 5 Million users and $2,13,11587 (The formatting of this number is inconsistent, likely representing ~$21.3 million). · July 2017: 10 Million users and $67,300,000 . · Jan 2018: 50 Million users and $803,000,000 .

These figures represent a massive leap in both user acquisition and monetization within a single year, without detailing the customer acquisition cost (CAC) required to achieve such scale.

Slide 19: Feature Deep Dive

The final provided slide reiterates the ReliabilityScore and PicStory features. It emphasizes that the trust score is meant to "save yourself from people with fake profiles." The visual shows a mock-up of the ReliabilityScore interface, which appears to aggregate data from social links like Facebook and LinkedIn to verify identity.

What Friendfiz Does Well

The deck identifies a clear niche: the intersection of AR and social discovery. By focusing on the "ReliabilityScore," the founders address a common pain point in dating and social apps—authenticity. The business model is also well-diversified; rather than relying solely on ads, they have planned for multiple B2C revenue streams and a developer ecosystem, which could theoretically increase platform stickiness.

What is Missing from the Deck

The most glaring omission is a specific Ask . There is no mention of how much money the company is looking to raise, the valuation they are seeking, or a breakdown of how the funds will be spent (e.g., 40% engineering, 40% marketing, 20% operations). Furthermore, there is a total lack of current traction data . The deck jumps straight into multi-million dollar projections without showing how many users the app currently has, their engagement rates, or their current churn. The "Problem" slide is also missing from this selection, leaving the investor to guess why current social networks are failing beyond the vague mention of "fake profiles." Finally, a Competitive Landscape slide is absent; the deck does not acknowledge established players like Tinder, Bumble, or Happn, nor does it explain why Friendfiz's AR approach is superior to their existing location-based features.

What Founders Should Copy

Founders can learn from the way Friendfiz attempts to quantify their revenue streams on Slide 15. While the numbers themselves may be optimistic, breaking down revenue into specific categories (Ads, Subscriptions, Microtransactions) and assigning a target conversion percentage for each is a helpful exercise for showing investors how the business scales. Additionally, the Roadmap on Slide 13 is visually clear and shows a logical progression from simple feature additions (stickers) to platform-level changes (opening the framework to developers). This demonstrates long-term thinking beyond just the initial app launch.

Frequently asked questions

What is the core technology behind Friendfiz?: Friendfiz is built on Augmented Reality (AR). Its primary differentiator is 'FlipAR,' which allows users to see the profiles of people physically standing in front of them or within a few kilometers projected onto their mobile screens. It also includes 'Walkover,' a proximity-based feature that identifies people who have crossed paths with the user, similar to the functionality seen in apps like Happn.
How does Friendfiz plan to make money?: The business model is diversified across three main channels. First, it uses a standard advertising model, projecting $1 to $7.50 in revenue per user. Second, it offers 'Paid Profiles' ranging from $5 to $30 per month, with an estimated 3% conversion rate. Third, it sells 'Themes' for $2 to $7 per month, targeting a 5% conversion rate among its user base.
What is the 'ReliabilityScore' mentioned in the deck?: The ReliabilityScore is a trust-building feature designed to eliminate fake profiles. According to slides 3 and 19, the system uses various undisclosed factors to assign a percentage-based reliability rating to each user. This score is visible to other users, theoretically allowing them to gauge the authenticity of a person before interacting with them on the social network.
Who is leading the company and who has invested?: The company is led by Founder and CEO Rupesh Patil, who the deck states has over 10 years of experience and previously served as CEO of JSM Infosoft Pvt. Ltd. The deck identifies two previous investors, Amit Pundir and Sunil Sulchaniya, both associated with Zeal Mobile Publicity. It also lists two advisors, Rajeev Roy and Dr. Sanjeev Parashar, both with ties to the Indian Institute of Management (IIM).
Are the financial projections in the deck realistic?: The projections are exceptionally aggressive. Slide 17 forecasts growing from 5 million users in January 2017 to 50 million users by January 2018, with revenue jumping from approximately $213 million to $803 million in that same 12-month period. These figures assume high ARPU (Average Revenue Per User) and rapid viral growth without providing historical data to support these conversion rates.