Épisodes

  • Gaurav Jain on Building $500M Fund, Missing Ramp and Backing Irrational Founders
    Jul 17 2026

    What does it take to write the very first check into a company that has almost nothing to show yet, sometimes not even a finished idea?

    Afore Capital helped invent the pre-seed category. When Gaurav Jain and Anamitra Banerji started the firm ten years ago, "pre-seed" was almost a slight, a label for founders who couldn't raise a proper seed round. They set out to build the world's largest pre-seed fund anyway, closing $47 million on a $40 million target, and every fund since has closed above plan. Afore now runs more than $500 million across four funds, with top-quartile DPI on the first three. The idea has become so mainstream that when Sequoia launched its latest fund, it said, "I guess we're pre-seed investors too."

    The real substance of the conversation is how Gaurav thinks. He is clear about what matters most in venture, and the order tends to surprise people. Being in the very best companies matters more than anything else, ownership comes after that, and the entry price that so many investors fixate on matters least, because fifty per cent of zero is still zero. He is also convinced that the genuine bottleneck is talent. There is a great deal of money in the world and very few people who can build something truly large, which is why at the earliest stage founders tend to choose their investors as much as investors choose them. You give a founder a million dollars with no collateral, and then you still have to convince them to take it. A pre-seed pitch, he says, is almost entirely storytelling with very little data behind it.

    If you want to understand how the earliest checks actually get written, and what it really costs to say no, this episode is worth your time.


    00:00 - Trailer
    01:00 - From Dehradun to Google to starting Afore
    02:08 - The Waterloo co-op that talked him out of every job
    03:18 - Back when "pre-seed" was an insult
    05:44 - When Sequoia said "I guess we're pre-seed investors too"
    07:26 - Afore's three products, and the experiments that failed
    09:01 - Hightouch was a travel company when they invested
    11:02 - Goldcast: no visa, no money, funded anyway
    12:07 - The through line is always the team
    14:44 - The Ramp miss
    17:24 - "Founders pick us more than we pick them"
    18:45 - The constraint isn't capital, it's talent
    22:24 - The Solana miss, when it was still Loom Protocol
    24:46 - Ramp's Super Bowl ad, the buses, his wife's business
    25:32 - What he looks for in founders
    28:50 - Coachability, happy ears, and the Mom Test
    31:28 - The biggest mistake: falling in love with the idea
    35:04 - The three things that matter, and "50% of zero is still zero"
    39:25 - "100% storytelling, 0% data"
    41:25 - Investing in India, and the fear of being dumb capital
    44:41 - "Sign the deal before Monday"
    47:26 - One engineer now does the job of 20
    51:43 - Raising from LPs, the undiscussed part of VC
    -------------
    India’s talent has built the world’s tech—now it’s time to lead it.
    This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

    What is Neon Fund?
    We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.
    Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.
    -------------
    Check us out on:
    Website: https://neon.fund/
    Instagram: https://www.instagram.com/theneonshoww/
    LinkedIn: https://www.linkedin.com/company/beneon/
    Twitter: https://x.com/TheNeonShoww

    Connect with Siddhartha on:
    LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
    Twitter: https://x.com/siddharthaa7
    -------------
    This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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    59 min
  • And How Matic Sold 6000 Robots with Zero Marketing | Navneet Dalal & Mehul Nariyawala
    Jul 14 2026
    What does it actually take to build a robot that cleans your home when everyone before has failed?Matic is a home robot that sweeps and mops your floors, navigating entirely with cameras, no LIDAR. It shipped its first unit in 2024 and has since sold 6,000 units at ~2,000 a month, almost entirely by word of mouth. And is now the largest consumer robotics company shipping in the United States.Navneet Dalal (a computer-vision pioneer who co-invented HOG) and Mehul Nariyawala met building Flutter, a gesture-recognition app that became #1 in 72 countries and was acquired by Google, where they then worked on Nest cameras and shipped one of the first deep learning algorithms in the wild. Matic is the company they decided would be their last: they wrote "Not For Sale" on the wall on day one and built it to last 20 to 30 years.Their bet was deliberately contrarian. They chose the "unsexy" floor-cleaning market, a category with a net promoter score of -1 that people keep buying anyway (21 million robot vacuums sold in 2024), because entering an existing market beats creating a new one and because it's the foundation for true indoor autonomy. Then they put roughly $35 million of their own money in, about 70% of their net worth, with no plan B.Along the way they lay out a full worldview: why robotics is 100x harder than software (the demo is only the first 20% of the work); why humanoids doing your chores are still 5 to 20 years away (the data problem), why no consumer hardware sells above $2,000; and the skin-in-the-game philosophy captured by his late father's advice: "Sell your home if you have to, but keep the company alive."If you're excited about how home robots actually get built and what it really takes to bet everything on hard tech, this episode is for you.00:00 - Trailer01:08 - When they quit Google to start Matic03:30 - Solving home cleaning with cameras only — no LIDAR04:46 - The $35M bet: funding Matic themselves07:36 - What a "level 5" robot in your home really means08:00 - Why they started with floor cleaning — on purpose09:45 - The rule: never create a new market with your first product10:02 - iPod, iPhone, Tesla — all entered existing markets11:38 - Why new hardware gives you only one shot13:02 - "Make something people NEED, not want"16:25 - Why the demo is only 20% of robotics18:50 - Teaching a robot like raising a child21:30 - How far are humanoids from real homes?22:22 - The data problem: "500 years of driving data a day"22:56 - 90% in the lab, 60% in the real world26:49 - Why no consumer device sells above $2,00027:38 - Would you buy a $10,000 humanoid — for what?28:47 - "History rhymes": General Magic to the iPhone29:38 - Earning trust after 20 years of broken robot promises30:31 - Shipping the first robot30:45 - 6,000 units, all word of mouth, zero marketing31:10 - Why they're US-only for now 31:50 - The investors: Sutter Hill to the Collison brothers33:20 - Two companies, both acquired by Google35:00 - The Flutter story: #1 app in 72 countries35:25 - Why nobody believed machine learning worked in 201138:40 - Microsoft Kinect: 8 million units in 60 days40:30 - The Google acquisition — and the $35M number44:40 - The near-death moment: switching to NVIDIA53:10 - iRobot's bankruptcy and what it means for Matic53:55 - The real scale of robotics: 21M robot vacuums a year57:45 - Putting 70% of their net worth on the line58:40 - His father's advice: "sell your home, keep the company"-------------India’s talent has built the world’s tech—now it’s time to lead it.This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: / theneonshoww LinkedIn: / beneon Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: / siddharthaahluwalia Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us Fan Mail
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    1 h et 7 min
  • How to Solve AI's Biggest Problem | Atin Sanyal, Galileo
    Jul 9 2026

    How do you know whether an AI agent is doing its job or quietly failing in production?

    Galileo is building the trust layer for AI. Its evaluation and observability platform is how enterprises measure whether the output of an LLM or an agent is good or bad.

    Galileo started before "LLM" was even a word. When Atin showed his prototype to Stanford's Chris Ré, his own first question was "what is a language model?" Today its customers include Reddit, Airbnb, P&G, Comcast, and six of the Fortune 50.

    Atin spent a decade in big tech before co-founding Galileo with Vikram Chatterji in early 2021. He worked on the knowledge graphs behind Siri at Apple, then became one of the leads and architects of Michelangelo, Uber's AI platform, that hosts thousands of models across pricing, ETA, and demand.

    That Uber experience taught him the lesson the whole company is built on; that in AI, observability and evaluation are the real bottleneck, and bad data is catastrophic.

    As ChatGPT turned every AI output into something a user sees directly, the measurement problem went from academic to mission-critical. So Atin made a contrarian bet: instead of using giant LLMs to judge other LLMs, Galileo built Luna, small 1-3B parameter models that run evals at breakthrough latencies of 100 milliseconds and below.

    If you are excited about how AI actually gets shipped, trusted, and controlled inside real enterprises, this episode is for you.

    00:00 - Trailer
    01:14 - From India to Apple, Uber, and Galileo
    01:34 - Where the name "Galileo" came from
    02:38 - Building Siri's early knowledge graphs at Apple
    03:29 - Becoming an architect of Uber's Michelangelo
    05:15 - Why every AI output is now mission-critical
    06:45 - How Atin and Vikram zeroed in on Galileo
    07:42 - "What is a language model?"
    09:38 - Building the world's first feature store at Uber
    11:27 - Language models and tokens, explained simply
    14:19 - Where the observability insight came from
    15:53 - Quantifying uncertainty and hallucinations
    16:36 - The first customers and first use case
    19:15 - How the product evolved from a data scientist tool
    23:18 - Why ChatGPT changed everything for Galileo
    23:57 - The enterprise AI adoption curve, 2021 to 2026
    26:35 - Why they built the Luna model
    28:32 - Turning LLM "writers" into "calculators"
    28:51 - Attacking the latency problem
    31:48 - Luna: the modeling and infrastructure innovation
    33:09 - What evals are, and why they blew up
    34:26 - The case for small language models
    36:58 - What "general reasoning" really means
    40:39 - AI usage is exploding — and why that matters
    43:08 - Online vs offline: the "it worked on my machine" problem
    44:33 - The evals flywheel and evals-driven development
    46:56 - Galileo in a nutshell
    47:39 - What real agents in production look like today
    49:30 - A sales intelligence platform, powered by Galileo
    50:47 - The agent control product
    52:12 - Building GTM as a hardcore engineer from India
    54:43 - Garbage in, garbage out: nailing the ICP
    55:42 - How the pitch changed from customer 1 to 20
    57:27 - Why Atin switched from CTO to CPO

    -------------
    India’s talent has built the world’s tech—now it’s time to lead it.

    This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.
    What is Neon Fund?

    We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

    Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.
    -------------
    Check us out on:
    Website: https://neon.fund/
    Instagram: https://www.instagram.com/theneonshoww/
    LinkedIn: https://www.linkedin.com/company/beneon/
    Twitter: https://x.com/TheNeonShoww

    Connect with Siddhartha on:
    LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
    Twitter: https://x.com/siddharthaa7
    -------------
    This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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    1 h et 10 min
  • Beating SBI, 1% NPAs & India's Massive Loan Gap I Victor Senpaty Co-Founder Propelld
    Jul 7 2026

    Who is funding the students that India's banks won't touch?

    Propelld is one of India's largest education-focused lenders, giving loans to roughly 1.5 lakh students every year — matching SBI — with a team a fraction of the size and no branch network. In a single financial year it now disburses more education loans than SBI did in six years of its history.

    Victor started Propelld in 2016 with a thesis born out of a Milton Friedman paper: a good student should never have to walk away from a good opportunity just because they don't have the money. Propelld hit its stride by going exactly where traditional lenders refuse to — 70% of its borrowers come from tier-3 cities, a segment banks treat as too risky.

    Instead of chasing the safe 1% of students at IITs and IIMs, Victor made a bet most lenders never make. He built the ability to underwrite the end-use itself — a "Crystal score" for institutes and courses that measures employability and real ROI. The result: NPAs held at ~1%, roughly one-tenth of what banks see the moment they step outside tier-1.

    Victor has a clear view of where lending goes next. In a post-LLM world, risk, distribution, and fulfillment get radically more efficient — one person already drives ₹50 crore of disbursal a year, and OPEX is projected to fall toward 2% at ₹6,000 crore AUM. His ranking never changes: NPAs first, unit economics second, growth third.

    If you are excited about how AI is rebuilding lending — and who gets to dream bigger because of it — this episode is for you.

    00:00 - Trailer
    00:50 - The two numbers that tell Propelld's story
    01:55 - Why 70% of borrowers come from tier-3 cities
    02:21 - How NPAs stay at 1%
    02:52 - Why education is a great asset class
    04:04 - Building a "Crystal score" for institutes and courses
    05:31 - End-use control: why an education loan isn't a personal loan
    06:27 - Why banks only lend to IITs and IIMs
    08:36 - Measuring employability to underwrite the end-use
    10:23 - 10 years at the intersection of fintech and edtech
    11:46 - Why education financing is only ~5% penetrated
    17:53 - Do India's graduate really not get a job?
    21:12 - The 8% data point, and quantifying ROI
    22:24 - The social mobility no one can price
    25:39 - From IIT Madras and a global bank to building Propelld
    27:41 - How the post-LLM world rewires lending
    30:26 - How fast an institute gets onboarded and a loan disbursed
    32:12 - Profitable at a ₹1 lakh ticket size
    34:13 - The financials: doubling revenue, holding costs flat to FY30
    37:19 - Lending as an ecosystem enabler, not just a loan
    39:33 - The most valuable courses in a post-LLM world
    41:40 - The bet on arts graduates as coding gets commoditized
    43:32 - The Milton Friedman paper that started it all
    46:53 - 100 investors, and the few who said yes
    48:33 - Co-founding with school friends since class 6
    50:24 - Settling disagreements over food and Hampi trips
    51:31 - The most common mistake fintech founders make
    52:51 - The one metric that ranks above everything: NPAs
    -------------
    India’s talent has built the world’s tech—now it’s time to lead it.

    This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.
    What is Neon Fund?

    We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

    Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.
    -------------
    Check us out on:
    Website: https://neon.fund/
    Instagram: https://www.instagram.com/theneonshoww/
    LinkedIn: https://www.linkedin.com/company/beneon/
    Twitter: https://x.com/TheNeonShoww

    Connect with Siddhartha on:
    LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
    Twitter: https://x.com/siddharthaa7
    -------------
    This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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    55 min
  • Lessons From India's First Unicorn Founder on Building Large Businesses | Naveen Tewari
    Jul 3 2026

    Most founders build one unicorn. Naveen Tewari built two.

    InMobi started with a simple bet: mobile would become the world's most important computing platform, and advertising could make it free for everyone. Every Indian VC said no.

    Naveen flew to San Francisco on a maxed-out credit card and returned with a $7 million round from Kleiner Perkins and Ram Shriram. Later came a $200 million investment from Masayoshi Son. Overnight, InMobi became India's first unicorn. Then he did it again.

    Glance, built quietly inside InMobi over three years, is now one of the fastest-growing consumer apps in the US, with more than 10 million monthly active users in the US.

    The thesis behind both companies is the same. The world's most powerful technologies, first mobile and now AI, only reach masses when someone figures out how to pay for them. Naveen believes advertising is that mechanism, and that InMobi is uniquely positioned to subsidise AI access at population scale, just as it helped subsidise mobile a decade ago.

    If you want to understand how one founder from India has quietly helped shape two technology eras, this episode is for you.

    00:00 - Trailer
    00:57 - Why Naveen became a founder
    03:26 - How co-founders met and came together
    11:33 - The pivot from mKhoj to InMobi
    15:02 - Can AI be subsidised for mass consumption?
    16:12 - Expanding globally before the US
    18:29 - Which industries can delay entry to US market?
    20:53 - What is Glance?
    23:55 - Incubated within InMobi for 2 years
    25:17 - What changes when you face failure in public?
    29:10 - How the SoftBank round changed InMobi
    32:53 - Maxing out credit cards to pay bills
    38:18 - $7Million Kleiner Perkins & Ram Shriram round
    43:07 - Hypergrowth journey: Series A to Series C
    45:41 - $200 million funding from Masa
    53:31 - Change of VC ecosystem in India
    54:34 - How building for B2B differs from B2C
    58:50 - How AI is changing InMobi and Glance
    -------------
    India’s talent has built the world’s tech—now it’s time to lead it.

    This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.
    What is Neon Fund?

    We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

    Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.
    -------------
    Check us out on:
    Website: https://neon.fund/
    Instagram: https://www.instagram.com/theneonshoww/
    LinkedIn: https://www.linkedin.com/company/beneon/
    Twitter: https://x.com/TheNeonShoww

    Connect with Siddhartha on:
    LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
    Twitter: https://x.com/siddharthaa7
    -------------
    This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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    1 h et 3 min
  • How to Beat a Competitor With 100x Your Funding | Palash Soni, GoldCast Founder
    Jun 30 2026

    How do you get an inbound from OpenAI and Anthropic?

    Goldcast is the video content platform behind companies like OpenAI, Anthropic, GitHub, Uber and Airbnb, before it was acquired by Cvent in a nearly $300 million deal earlier this year.
    Palash Soni (Co-Founder and CEO, Goldcast) joins the Neon Show.

    Goldcast entered one of the most overfunded categories in SaaS. Hopin alone had raised more than $1 billion. This is the story of the decisions that helped Goldcast survive the category and ultimately become one of the biggest MarTech acquisition stories of the last few years.

    Enterprise customers are won long before they ever sign a contract. We trace that idea through Goldcast's journey, from landing Drift as its first marquee customer and reaching its first $1 million in ARR, to the relationships that quietly compounded over the years and eventually led to an inbound from the likes of OpenAI and Anthropic.

    We discuss how retention has always been MarTech's biggest challenge and why AI doesn't fundamentally change that. And why acquisition, not an IPO, is the most realistic outcome for most companies in the category.

    This episode is about winning in a market everyone had written off, and the decisions that turned Goldcast into one of the few companies left standing.

    00:00 - Trailer
    00:36 - How Palash caught the startup bug
    05:51 - Meeting the co-founders
    08:50 - Fundraising has never been easy for Goldcast
    10:36 - How we got a term sheet in 2 days
    12:43 - We quit HBS and they became our first customer
    18:47 - Customers told us our product looked ugly
    19:50 - How Drift founder changed the course of Goldcast
    21:44 - When competitors raised $250 million
    23:31 - How Goldcast got high-profile angel investors
    30:33 - The elevator pitch of Goldcast
    31:06 - When companies in your space are crashing
    32:36 - Was virtual events even a valid space after COVID?
    43:15 - How Goldcast won OpenAI
    44:38 - What led to the acquisition
    53:33 - One thing Palash would change about the last 5 years
    56:58 - Founders should define company values
    58:48 - Why we had an unusually large post-sales team
    01:01:09 - Retention in MarTech has always been subpar
    01:04:36 - Is acquisition the only path for a MarTech company?
    01:09:16 - How Goldcast got great logos
    01:11:01 - How the three co-founders split roles
    01:12:05 - If not acquisition, then what?
    01:14:20 - How founders move to higher ACVs
    01:16:21 - The ethos of the founding team
    01:17:25 - The book that changed me
    -------------
    India’s talent has built the world’s tech—now it’s time to lead it.
    This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.
    What is Neon Fund?
    We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.
    Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.
    -------------
    Check us out on:
    Website: https://neon.fund/
    Instagram: https://www.instagram.com/theneonshoww/
    LinkedIn: https://www.linkedin.com/company/beneon/
    Twitter: https://x.com/TheNeonShoww

    Connect with Siddhartha on:
    LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
    Twitter: https://x.com/siddharthaa7
    -------------
    This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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    1 h et 21 min
  • How 3 Friends From Coimbatore Ended Up Running American TV | The Untold Amagi Story
    Jun 26 2026

    Who powers the cloud infrastructure behind NBC, Warner Bros. Discovery, Olympics, and the Super Bowl?

    Amagi, built out of an office on Bannerghatta Road in Bengaluru. What started there grew into a company that went public at an $825 million valuation and today has a market cap of over $1.3 billion, earns 73% of its revenue from the US, and proved that world-class enterprise technology can be built in India and sold to the world.

    Co-founders Srividhya Srinivasan and Baskar Subramanian take us back to the days after selling their first startup to a NASDAQ-listed chipmaker, when they landed on an idea almost nobody in India's broadcast industry believed in: regionalizing satellite TV ads.

    That business grew to ₹180 crore in revenue. Then the founders made a bold call: "Enough of this hardware mess. We'll host only on the cloud." It meant shutting down an 8 year old profitable business to back a cloud platform that was barely making a few crores. That decision transformed Amagi into the company it is today.

    18 years later, Amagi went public, as a strong example of building a truly global enterprise software company from India. But the IPO itself was far from an obvious decision. The founders share why going public was the right choice despite not needing capital.

    This episode will tell you how category-defining companies are built.

    00:00 - Trailer
    01:00 - How three college kids became founders
    04:55 - The startup idea validated by a palmist
    07:10 - How founders split roles (w/o designations)
    11:04 - What Amagi 2.0 does
    14:29 - Bannerghatta Road runs Olympics for the US
    15:54 - Only 10% of TV networks are on the cloud
    16:50 - Why shut down a profitable business?
    21:25 - Why one co-founder moved to the US
    28:06 - Did Amagi really need the IPO?
    31:10 - What is Amagi 2.0?
    36:04 - Selling to the US: then vs. now
    40:44 - How NBC signed with Amagi
    43:56 - How intent is measured through contracts
    46:58 - 5 major decisions that changed Amagi
    52:08 - How AI is changing Amagi
    57:45 - Being the CTO of a public company
    1:02:57 - US vs India Market: US is fast to experiment
    1:04:48 - Enterprises Need Human Touch
    1:11:12 - Cloud and TV: No one Believed
    1:13:34 - What will Happen to Hollywood

    -------------
    India’s talent has built the world’s tech—now it’s time to lead it.
    This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.
    What is Neon Fund?
    We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.
    Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.
    -------------
    Check us out on:
    Website: https://neon.fund/
    Instagram: https://www.instagram.com/theneonshoww/
    LinkedIn: https://www.linkedin.com/company/beneon/
    Twitter: https://x.com/TheNeonShoww

    Connect with Nansi on:
    LinkedIn: https://in.linkedin.com/in/nansi-mishra
    X: https://x.com/nansi_mishra
    -------------
    This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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    1 h et 23 min
  • How A 23-Year-Old Solo Founder Is Disrupting India's On-Demand Labor Market | Anjali Sardana, Pronto
    Jun 23 2026

    Why did global VCs invest $60M into India's most operationally heavy marketplace problem?

    The early bet was undoubtedly on the founder, Anjali Sardana.

    A 23 year old biology graduate from Georgetown University who is today the solo founder of Pronto. The company founded on 2nd April 2024 is at a $200 Million valuation, just a year later and they are growing at god-speed. What began in a single hub in Sector 56, Gurgaon is today 22,000 bookings a day, 5,000+ professionals, and operations across India's biggest cities.

    But Pronto was never just about convenience. It was built on a belief that India’s home services market is broken not just for customers, but even more so for workers. No income stability. No safety net. No formal identity in the system.

    Not many individual investors write a $20M cheque. Lachy Groom did, alongside General Catalyst and Gladebrook. One year in, Pronto’s growth explains the conviction. This episode is the story of the chaos, the urgency and the belief behind one of India's fastest moving startups.

    00:00 — Trailer
    01:32 — What is Pronto?
    03:16 — Hiring the first 30 pros in a single day
    06:13 — Delivering uniforms in 48 hours
    08:02 — Hustling to make the first payroll
    09:23 — The first home office
    11:28 — Why the customer app is only a nice-to-have
    17:18 — How pros are trained
    21:11 — How Gurgaon, Mumbai & Bangalore behave differently
    29:17 — TAM expands based on ease of access
    34:58 — Mission is bringing dignity to formal labour
    42:27 — Pronto's 30-year vision
    42:48 — How US investors see Indian startups
    44:37 — How a ₹400 headhunter brought the first hire
    47:05 — Final round interview for Pronto's chief of staff
    49:29 — How Anjali hires missionaries
    54:31 — One thing Anjali would always do as founder
    58:29 — One thing she's most proud of
    59:29 — One value Pronto would never compromise on
    1:01:44 — A company with urgency as core value
    1:03:55 — What needs to change in India for Pronto to succeed?
    1:05:18 — How to build a win-win-win business
    1:07:40 — Why was this problem not solved yet?
    1:09:02 — If Pronto fails, what would be the reason?
    1:10:05 — How Anjali spends a day as a solo founder
    1:15:30 — One lesson learned the hard way

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    This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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