When a social graph fragments your market, compound engagement around shared language and culture instead of friendships, and serve the overlooked audience that mainstream platforms ignore entirely.
ShareChat
ShareChat, built by Mohalla Tech and founded on January 8, 2015 by three IIT Kanpur graduates (Ankush Sachdeva, Bhanu Pratap Singh, and Farid Ahsan) after roughly fourteen failed products, is India's vernacular social network and, with its short-video app Moj, one of the largest homegrown content platforms in the country. The through-line across its stories: it built value not on a social graph but on shared language and culture, seeded that value from a scrappy WhatsApp hack, and positioned itself squarely at the non-English "Bharat" audience that mainstream platforms ignored.
Network Effect: value from shared language, not a friend graph
The problem. Classic social networks compound value through the social graph: the app is worthless until your friends join, which throttles growth in a linguistically fragmented country where a Telugu user and a Marathi user have little reason to connect. ShareChat needed engagement to compound without requiring users to already know each other, since its target audience was scattered across fifteen languages and had no existing digital friend network to import.
The approach. ShareChat deliberately built a content network rather than a social graph: you do not need to know someone to connect, you only need to share a language and a cultural context. Content was organized around interest tags and languages, so every new piece of Hindi, Tamil, or Gujarati content made the app more valuable to everyone else in that language cluster, independent of who they followed.
How it solved it. The model compounded into scale: ShareChat grew to over 350 million monthly active users across fifteen Indian languages, with (at peak) more than 2.8 million users creating roughly 2.5 lakh new videos every day. Investor conviction in the network followed the usage: Twitter led a $100 million Series D in 2019, and the company was valued near $5 billion in 2022.
Cold Start: seeding an empty app from a Sachin Tendulkar WhatsApp group
The problem. In 2015 a new vernacular app was an empty room: no creators meant no content, no content meant no users, and no users meant no creators. ShareChat had a thesis that of India's roughly 350 million smartphone users only about 100 to 120 million preferred English, but a thesis does not populate a feed, and the non-English audience had no habit of creating digital content.
The approach. Before building ShareChat, Sachdeva ran a manual cold-start experiment on WhatsApp: he found a Facebook post inviting people to a Sachin Tendulkar fan group, collected around 1,000 phone numbers, and split them into ten WhatsApp groups of 100 each. Within an hour, each group was overflowing with photos and videos of Sachin, almost entirely in regional languages, proving latent supply existed and could be triggered around a shared interest.
How it solved it. That experiment revealed both the demand and the seeding mechanic (interest-and-language communities) that ShareChat productized, letting the platform bootstrap content in languages with no incumbent creator base. The insight (that unknown people would enthusiastically produce and share vernacular content given a topical home) became the foundation for the tag-based feed that carried ShareChat past the empty-app problem to hundreds of millions of users.
Positioning: the "Bharat" alternative that filled the TikTok void
The problem. Urban, English-first apps dominated the Indian social media narrative, leaving tier-2 and tier-3, non-English "Bharat" users underserved and unaddressed as a distinct market. When India banned TikTok in June 2020, that ban vacated a market of roughly 200 million Indian users overnight, but capturing them required being clearly positioned as the Indian, vernacular-first alternative rather than one of many generic clones.
The approach. ShareChat had long positioned itself explicitly as the social network for local-language "Bharat" users, and it moved fast to occupy the short-video gap by launching Moj in July 2020, within days of the ban, branded as a homegrown Indian app for regional-language creators. The positioning was identity-led: not "a TikTok clone," but the Indian platform for the audience TikTok's departure had stranded.
How it solved it. The position converted the demand shock into scale: Moj crossed one million downloads within a week, reached 50 million monthly active users just 35 days after launch, and passed 100 million Play Store downloads by early 2021, while ShareChat's own revenue grew roughly 8 to 10x between June and September 2020. The vernacular positioning that made this possible also defined the company's hardest problem, monetizing tier-2/3 attention, with FY March 2023 revenue still below $65 million and layoffs of around 800 to 900 staff as funding tightened.