The Neon Show

Siddhartha Ahluwalia

Hi, I am your host Siddhartha! I have been an entrepreneur from 2012-2017 building two products AddoDoc and Babygogo. After selling my company to SHEROES, I and my partner Nansi decided to start up again. But we felt unequipped in our skillset in 2018 to build a large company. We had known 0-1 journey from our startups but lacked the experience of building 1-10 journeys.  Hence was born the Neon Show (Earlier 100x Entrepreneur) to learn from founders and investors, the mindset to scale yourself and your company. This quest still keeps us excited even after 5 years and doing 200+ episodes.  We welcome you to our journey to understand what goes behind building a super successful company. Every episode is done with a very selfish motive, that I and Nansi should come out as a better entrepreneur and professional after absorbing the learnings. 

  1. 1h ago

    The #1 Mistake Killing B2B Startups | Arun Penmetsa, Storm Ventures

    Can the biggest AI labs simply walk into any market and replace the software companies already sitting there? Storm Ventures has spent 26 years building an answer for B2B founders. The firm has made close to 200 investments, backed 11 unicorns, and produced some of the cleanest enterprise exits in Silicon Valley, from AirGap Networks selling to Zscaler to earlier winners like Marketo and MobileIron. Its portfolio today runs from Tekion in automotive retail to Atomicwork in IT service management, Krisp in voice AI, and Synthpop in healthcare. Arun Penmetsa is a Partner at the firm. He built enterprise software at Oracle and Google before moving into venture, and he now leads Storm's work in AI, security, and digital health. In this conversation, he is unusually specific about how the decisions actually get made. He meets ten to twelve founders every week; the entire partnership makes only six to eight investments a year, and the single filter he trusts most is urgency. If a buyer can comfortably wait six to twelve months, the pain is not real, and the company is already in trouble. Arun is direct about the question every AI founder now gets asked, which is whether OpenAI or Anthropic will simply take their market. He answers that the foundation model companies will own a handful of core verticals and leave the rest, so the durable business is the one that owns the full stack between the model and the interface and delivers a real outcome inside law, healthcare, construction, or a market as unglamorous as convenience retail.  He also lays out where he is placing his next bets, from physical AI and humanoid robots that can retool an assembly line on the fly to vertical companies like Tote that rebuild the software running gas stations and corner stores, where a single day of downtime can cost an owner tens of thousands of dollars.  If you are excited about building enduring B2B and AI companies, this episode is for you. 00:00 - Trailer 01:21 - The 26-year-old B2B fund behind AirGapp, Marketo and Tekion 02:47 - The patterns Storm has seen repeat across 200 investments 05:37 - What actually drove seven clean exits 06:37 - The airgap story: the agentless bet that Zscaler bought 13:10 - The one signal Arun trusts more than pedigree 14:37 - Where the moats survive once the models get this good 18:01 - Why Storm backed Atomicwork against ServiceNow 20:00 - Two weeks to decide: how the fastest deals happen 25:27 - The cold email that gets a venture partner to reply 28:52 - The funnel: 500 founders a year, 6 to 8 checks 35:31 - Why Stanford on the resume buys you nothing here 38:13 - The pattern behind every 4 billion dollar outcome 40:44 - The question every AI founder gets: can OpenAI replace you 46:16 - The mistakes that killed companies Arun believed in 50:14 - The million-dollar wall every B2B founder hits 53:30 - Why buyers have already decided before they call you 58:12 - AI agents that stay on a one-hour insurance call 1:08:33 - Physical AI: assembly lines that rebuild themselves 1:12:39 - Tote: the fuel pump they built to win gas stations ------------- 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 centre 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. Send us Fan Mail

    The #1 Mistake Killing B2B Startups | Arun Penmetsa, Storm Ventures
  2. 4d ago

    Gaurav Jain on Building $500M Fund, Missing Ramp and Backing Irrational Founders

    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. Send us Fan Mail

    Gaurav Jain on Building $500M Fund, Missing Ramp and Backing Irrational Founders
  3. Jul 14

    And How Matic Sold 6000 Robots with Zero Marketing | Navneet Dalal & Mehul Nariyawala

    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 - Trailer 01:08 - When they quit Google to start Matic 03:30 - Solving home cleaning with cameras only — no LIDAR 04:46 - The $35M bet: funding Matic themselves 07:36 - What a "level 5" robot in your home really means 08:00 - Why they started with floor cleaning — on purpose 09:45 - The rule: never create a new market with your first product 10:02 - iPod, iPhone, Tesla — all entered existing markets 11:38 - Why new hardware gives you only one shot 13:02 - "Make something people NEED, not want" 16:25 - Why the demo is only 20% of robotics 18:50 - Teaching a robot like raising a child 21:30 - 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 world 26:49 - Why no consumer device sells above $2,000 27:38 - Would you buy a $10,000 humanoid — for what? 28:47 - "History rhymes": General Magic to the iPhone 29:38 - Earning trust after 20 years of broken robot promises 30:31 - Shipping the first robot 30:45 - 6,000 units, all word of mouth, zero marketing 31:10 - Why they're US-only for now  31:50 - The investors: Sutter Hill to the Collison brothers 33:20 - Two companies, both acquired by Google 35:00 - The Flutter story: #1 app in 72 countries 35:25 - Why nobody believed machine learning worked in 2011 38:40 - Microsoft Kinect: 8 million units in 60 days 40:30 - The Google acquisition — and the $35M number 44:40 - The near-death moment: switching to NVIDIA 53:10 - iRobot's bankruptcy and what it means for Matic 53:55 - The real scale of robotics: 21M robot vacuums a year 57:45 - Putting 70% of their net worth on the line 58:40 - 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/TheNeonShoww Connect 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

    And How Matic Sold 6000 Robots with Zero Marketing | Navneet Dalal & Mehul Nariyawala
  4. Jul 9

    How to Solve AI's Biggest Problem | Atin Sanyal, Galileo

    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. Send us Fan Mail

  5. Jul 7

    Beating SBI, 1% NPAs & India's Massive Loan Gap I Victor Senpaty Co-Founder Propelld

    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. Send us Fan Mail

    Beating SBI, 1% NPAs & India's Massive Loan Gap I Victor Senpaty Co-Founder Propelld
  6. Jul 3

    Lessons From India's First Unicorn Founder on Building Large Businesses | Naveen Tewari

    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. Send us Fan Mail

    Lessons From India's First Unicorn Founder on Building Large Businesses | Naveen Tewari
  7. Jun 30

    How to Beat a Competitor With 100x Your Funding | Palash Soni, GoldCast Founder

    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. Send us Fan Mail

    How to Beat a Competitor With 100x Your Funding | Palash Soni, GoldCast Founder
  8. Jun 26

    How 3 Friends From Coimbatore Ended Up Running American TV | The Untold Amagi Story

    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. Send us Fan Mail

    How 3 Friends From Coimbatore Ended Up Running American TV | The Untold Amagi Story
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Hi, I am your host Siddhartha! I have been an entrepreneur from 2012-2017 building two products AddoDoc and Babygogo. After selling my company to SHEROES, I and my partner Nansi decided to start up again. But we felt unequipped in our skillset in 2018 to build a large company. We had known 0-1 journey from our startups but lacked the experience of building 1-10 journeys.  Hence was born the Neon Show (Earlier 100x Entrepreneur) to learn from founders and investors, the mindset to scale yourself and your company. This quest still keeps us excited even after 5 years and doing 200+ episodes.  We welcome you to our journey to understand what goes behind building a super successful company. Every episode is done with a very selfish motive, that I and Nansi should come out as a better entrepreneur and professional after absorbing the learnings. 

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