Jan 12, 2024 · 1h 17m · neon-show
How Have Indian Consumers Evolved In The Last 10 Years, Ankush Sachdeva, Founder, ShareChat and Moj
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this in-depth interview on The Neon Show, ShareChat and Moj co-founder Ankush Sachdeva discusses building India's largest domestic social media network, decoding the psychology of vernacular 'Bharat' users, and scaling AI recommender systems and micro-monetization.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →
Siddhartha as informed peer 3.8 Guest teaching 3.6 Guest disagreement 0.8 Siddhartha pushing back 1.0
speaking balance: gold is Siddhartha, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 58:55 Guest dismisses assumption of unpredictable human desires
When the host asserts that human desires are too spontaneous and dynamic for algorithms to foresee, the guest firmly disagrees, arguing that across 100 million users, human behavior is highly predictable through vector cohort matching.
Hardest push from Siddhartha ▶ 1:05:37 Host distinguishes penetration rates from absolute user volumeThe host interrupts and corrects the guest's line of thought by distinguishing state-level internet penetration percentage from absolute user population metrics.
Biggest teaching moment ▶ 45:19 Guest explains India's RecSys talent deficitThe guest delivers a comprehensive explanation of why American tech giants only established sales and product hubs in India while keeping foundational algorithmic engineering in London and the US, forcing ShareChat to hire abroad.
Siddhartha holds their own ▶ 28:03 Host synthesizes aggregate cloud subsidy per smartphoneThe host immediately performs mental arithmetic converting the guest's $1 per DAU cloud serving cost across 100 installed apps, demonstrating that app companies subsidize an ₹8,000 phone's annual user value.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Siddhartha as informed peer | Guest teaching | Guest disagreement | Siddhartha pushing back | Why |
|---|---|---|---|---|---|---|
| From College Dorms to Multi-Floor Offices | 3 | 1 | 0 | 0 | The host warmly reminisces about visiting ShareChat's early Koramangala office and asks chronological questions about their college origins and the Delhi Police project. The guest recounts their early incubator struggles and collegiate disciplinary hurdles. | |
| Campus Hit: The Puppy Love Dating Experiment | 3 | 2 | 1 | 0 | The host compares their Valentine's Day campus matchmaking tool to Mark Zuckerberg's early Facebook. The guest briefly clarifies that Puppy Love operated on a distinct anonymous mutual-crush mechanic. | |
| The WhatsApp Discovery and Birth of ShareChat | 3 | 3 | 0 | 0 | The host inquires into the exact pivot that birthed ShareChat. The guest explains how observing 50,000 phone numbers dropped in public Facebook groups for Sachin Tendulkar content sparked the core insight. | |
| Optimizing for 2G, Removing English, and Opening UGC | 2 | 4 | 1 | 0 | The guest explains counter-intuitive user psychology: users selected English due to aspirational status but could not speak it, leading to zero engagement until English was completely removed. The host follows along as the guest describes the transition to UGC. | |
| Decoding 'Bharat': User Psychology and Status Signaling | 3 | 4 | 1 | 2 | The host challenges why Tier-2/3 users would pay for digital status among total strangers rather than known peers in real life. The guest educates the host on how livestream rooms function as tight-knit micro-communities where host callouts provide immense social validation. | |
| Unit Economics: Cloud Costs and Monetization Models | 5 | 4 | 1 | 1 | The guest breaks down the raw unit economics of social media ($1 server cost per DAU/year vs $6 Meta ARPU ceiling). The host actively synthesizes this into practical math regarding 100 free apps costing ₹8,000 per user. | |
| Evolution of Online Expression, Digital Infra, and Micro-Tips | 4 | 3 | 0 | 1 | The guest recounts a 2016 office stone-pelting incident caused by users misunderstanding social media as a traditional publishing house, then details the surge in micropayments. The host connects this to UPI digital infrastructure outstripping physical infrastructure. | |
| Financial Turnaround: Scale, Profitability, and Market Realities | 4 | 3 | 1 | 0 | The host drills into revenue metrics, burn reduction, and timeline to profitability. The guest explains how ShareChat achieved profitability by slashing burn by 80% and reaching a ₹1,000 crore ARR run rate. | |
| The ByteDance Battle, Chinese App Ban, and Moj's Launch | 4 | 4 | 1 | 2 | The host prompts details on the ByteDance rivalry and the TikTok ban mechanism. The guest details discovering ByteDance's Helo clone, fighting in Delhi High Court, and spinning up Project Gold Rush to launch Moj within 30 hours of the ban. | |
| Building Global AI Talent: London Leadership and RecSys R&D | 4 | 5 | 1 | 1 | The guest explains why China is far ahead in recommendation systems and why ShareChat based its senior AI leadership in London due to US tech giants never investing in algorithmic R&D in India. The host brings up tech CEO commentary on AI focus. | |
| The Mathematics of Recommendation and the Generative AI Horizon | 5 | 6 | 2 | 3 | The host challenges whether AI can truly anticipate dynamic, spontaneous human cravings without explicit prompts. The guest schools the host on vector embeddings and mathematical cohort predictability across hundreds of millions of users. | |
| Content Preferences, Regional Engagement, and Hidden Wealth | 5 | 5 | 2 | 3 | The host challenges conventional VC wisdom about Tier-1 purchasing power and presses on absolute user counts versus penetration percentages. The guest reveals high-spending power in smaller cities with individual gifters spending ₹5 lakh monthly. | |
| Demographic Dividends, Manufacturing, and India's Tech Outlook | 4 | 3 | 0 | 0 | The host asks about structural shifts away from traditional elite degrees toward short-term vocational skilling. The guest explains how 6-month skilling unlocks India's demographic dividend and compares current startup climate to 2014. |
Statements from this episode (33)
Sachdeva: ShareChat received its first check of 50 lakh rupees in incubator
“I think once while we were on that journey, that incubator journey we got our first check of 50 lakh rupees.”
Sachdeva: ShareChat's parent company is named after early real estate product Mohalla.in
“So if you look at our name, it's Mahala Tech Private Limited. That's because our first product was Mahala.in. It was a real estate product.”
Sachdeva: Delhi Police funded early student data analytics project from IIT Kanpur
“We managed to get a meeting with the additional commissioner. And he got really impressed and we got the project. So we got a project that you have to build this with certain specifications. He said, we'll fund it.”
Sachdeva: Half of IIT Kanpur signed up for Puppy Love despite negative pre-launch feedback
“Before launching, I actually talked to about 10 women. Because it was like, men will definitely fill a crush list. Will women participate in this? Yeah, and I talked to 10 women, all of them said, this makes no sense, we will not use the product. But to a surp…”
Sachdeva: College grads building B2B SaaS will fail without work experience
“If you ask a college grad to build a B to B SaaS company, he's gonna fail. Like they don't, like we had no experience, no working experience.”
Sachdeva: Facebook post for cricket WhatsApp group drew 50,000 phone numbers
“In one of those groups, I saw there was a post which was Sachin ka photo with a WhatsApp logo. And the guy is saying, agar apko Sachin ka content chahiye if you want content around Sachin, put your phone number, and I, I'll add you to a WhatsApp group. And bel…”
Sachdeva: Non-English speaking Indians pick English app menus for aspiration
“They had no working vocabulary of English, they did not know the language, yet when given an option, they will pick that language. Because of aspirational reasons. And in fact, there was a lot of trust deficit. A lot of these regional language apps in the past…”
Sachdeva: ShareChat found product-market fit by dropping English and chatrooms
“Eventually we came to the conclusion We will not have English as an option and we will only show a content feed. No sort of chatting in the middle. And that is how the current form of shared chat came about.”
Sachdeva: Daily UGC exceeded ShareChat's entire previous content history within one week
“Within a week of launch, the content that was uploaded every day was more than all the content like posted in the entire history of the product.”
Sachdeva: India's internet splits into 100M Westernized and 500M Bharat users
“See, I think roughly we split as top hundred million. And the rest of about five hundred million.”
Sachdeva: ShareChat monetizes via status-driven live stream gifting and badges
“One of the ways we monetize on ShareChat is, is through live stream gifting, right? It is nothing but status. So for a profile badge around your profile photo, people are willing to pay. When you enter a live stream and you get a Ferrari coming in, a Ferrari a…”
Sachdeva: Social platforms spend $1 per DAU annually on server costs
“It takes about one dollar or 80 rupees per DAU per year just to serve the audience. So when you're serving the audience, they're essentially coming to share chat, fetching a feed, consuming videos, commenting, whatever, right? Whatever activity they're doing. …”
Sachdeva: Facebook generates roughly $6 per user annually in India
“Facebook in India makes about six dollars per year per day in terms of ads revenue. So that is, you can probably say that's the ceiling of the market because they're the most scaled out ads business.”
Sachdeva: The first profitable Bharat business will be social media
“So the first profitable Bharat business would actually be a social media business. If you think about it from that phase, right?”
Sachdeva: ShareChat office faced stone-pelting in 2016 over misunderstanding of social media
“We literally had a protest and stone pelting at our office. In, in Kormangla. That office. And the reason was those guys thought it is some magazine which is publishing content, a joke against the community. So, so people didn't even know what social media was…”
Sachdeva: ShareChat micropayment revenue has surpassed its ad revenue
“It is now crossed. In fact, because it started later, but it is now crossed because it's growing much faster.”
Sachdeva: Top 25% of ShareChat/Moj livestream hosts make ₹75k to ₹1L monthly
“We have about, I think, about half a million host, live stream host on the platform. We see the top 25% of them make somewhere around 75,000 to a lakh rupees a month.”
Sachdeva: ShareChat reached standalone profitability in October after eight years
“October was the first month when our first product, ShedChat, achieved profitability.”
Sachdeva: ShareChat and Moj generate about 1,000 crore INR annualized revenue
“So we're currently at about a thousand crore annualized revenue.”
Sachdeva: ShareChat has 180M MAUs and Moj has 120M to 150M MAUs
“So ShareChat is about one eighty million MAUs. Moj is about one 21 50 million MAUs.”
Sachdeva: Delhi High Court ordered ByteDance to stop scraping ShareChat
“We in fact went to Delhi High Court. If you can Google ShareChat versus Hello or ByteDance. In fact, Delhi Highcore told, told them to not do this, not scrape, and in fact, change their app.”
Sachdeva: ByteDance's India marketing spend was 10x ShareChat's total monthly budget
“They were putting 10 times more money just in marketing compared to our overall monthly bill.”
Sachdeva: ShareChat built short-video app Moj in 36 hours post-TikTok ban
“Within one hour, we had a new sort of project spawned in the company called Project Gold Rush. Where we moved the growth team of ShareChat, and we told them that you have to build a short video app in two days. And to my surprise, they built it in 36 hours, or…”
Sachdeva: China Is Far Ahead of India in AI Recommender Systems
“Definitely. Definitely. There's no question about it. They're far more mature ecosystem to, like, in, in our narrow space of recommender systems, this is the specialization within AI, which we sort of work on, they're far ahead of India.”
Sachdeva: Most of ShareChat's AI Leadership Is Based in London
“And even today, most of our AI leadership is out of London.”
Sachdeva: ShareChat Filters 100M Candidates Down to 10 per Feed
“Today, when you fetch a feed on shared chat and watch, we have about a hundred million candidates, from which we will find the 10, that you're most likely to complete the video watch.”
Sachdeva: GenAI will dynamically create unique short videos for every session
“Every single time you open a short video app, it will generate a video for you.”
Sachdeva: Devotional Content Is the Second Largest Category on ShareChat
“Surprisingly, devotion is number two on, on shared chat. I think we also have a, probably a higher skew towards women than internet audience. And that sort of makes devotion bigger.”
Sachdeva: ShareChat User Demographics Are 70% Men and 30% Women
“We would have about 70, 30. 70 men, 30 women.”
Sachdeva: Top ShareChat Live Gifters from Tier-2 Cities Spend ₹5L+ Monthly
“So you will find somebody out of, Lucknow, Raipur, who's the top gifter or micropayment, customer on a live product. Spending north of five lakh a month.”
Sachdeva: Every Indian City Has a Top 5% with High Disposable Income
“This narrative that tier one is where all the disposable income is and tier two, tier three is where you don't have. Is not the truth. If you have a very widely distributed product in every single city, you will find that top five percent with all the disposab…”
Sachdeva: India will narrow product gap with China within 10 years
“I think India today feels at the right juncture where I am hopeful that within 10 years, we would be much, we would have closed the gap much more than where we are in terms of our abilities to build World beating products compared to China.”