vor 2 Tagen

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

1 Std. 21 Min.

vor 6 Tagen

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

1 Std. 23 Min.

23. Juni

How A 23-Year-Old Solo Founder Is Disrupting India's On-Demand Labor Market | Anjali Sardana, Pronto

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 ------------- 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/neon-fund/ X: 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

1 Std. 8 Min.

18. Juni

Why Coding is the Fastest Path to AGI | Turing CEO Jonathan Siddharth

Who is teaching the world's most powerful AI models to think? Turing is one of the largest data partners to OpenAI, Anthropic, Google, Meta, Microsoft, and Nvidia. At a $2.2 billion valuation it has become one of the most important infrastructure layers in the AGI race. Jonathan Siddharth started Turing in 2018 with a thesis that talent matching is a trillion-dollar problem. Turing reached unicorn status in 2021. Then, in 2022, as the foundation model race accelerated, OpenAI approached Turing to provide coding data for ChatGPT. Jonathan recognised that frontier AI labs faced an enormous bottleneck: high-quality training data and human intelligence at scale. Instead of remaining just a talent marketplace, he made a bet that most unicorn CEOs never make. He built a second business on top of the first and leaned back into his AI research roots. Jonathan has a clear view of what needs to happen before we get to super intelligence. The four keys to unlocking AGI: coding, reasoning, tool use, and multimodality. He believes we solve for those four, and AI can do almost anything a human can do in front of a computer. If you are excited about where the AGI race is heading this episode is for you 00:00 - Trailer 01:06 - What Turing does 05:55 - Why OpenAI reached out to Turing 8:28 - How GPT-3 became ChatGPT 17:54 - How ImageNet breakthrough changed the world 21:12 - The largest provider of coding data to AI labs 24:34 - Four keys to super intelligence 28:45 - Every human will run multiple companies in 10 years 32:27 - Can agents have self-improvement loops? 34:36 - The future of software engineering 36:26 - Agents should create, humans should steer 39:46 - Is the line between products and services companies blurring? 40:42 - How an agent can handle hiring end-to-end 43:36 - Every human can now write software 45:22 - Will workflow SaaS disappear? 47:46 - No fine-tuning vs fine-tuning camps 51:49 - A case study in compute constraints 57:06 - Why the world needs so much compute 1:01:26 - Where Jonathan would invest today 1:03:16 - Where cybersecurity is heading 1:08:31 - How the world will look in 10 years ------------- 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

1 Std. 11 Min.

11. Juni

Questions Every Founder Must Answer Before Taking an Acquisition Offer | Shashank Saxena, VNDLY & Pantomath

Most AI failures won't come from a bad model. They'll come from bad data. Shashank Saxena spent most of his career on the buying side of enterprise technology before founding VNDLY which was acquired by Workday for $510 million. He then joined Sierra as a Managing Partner before going full time as Co-founder and CEO of Pantomath, a data operations center for enterprises that are betting their future on AI agents. We discuss why data quality is becoming one of the biggest challenges in enterprise AI. An AI agent fed bad data for 12 hours doesn't go rogue. It just makes 12 hours of wrong decisions: rejecting insurance claims, issuing credit cards, or drilling in the wrong location. As more business decisions are delegated to AI systems, companies will need far greater visibility into what is happening across their data infrastructure. Shashank also shares the decisions that led to VNDLY's acquisition, the advice he'd give founders evaluating acquisition offers today, and why a Michael Jordan analogy continues to motivate him as a second-time founder. If you're building enterprise software, selling to large companies, or trying to figure out whether experience is an asset or a liability in the AI era, this episode is for you. 0:00 - Trailer 01:00 - How Shashank became a second-time founder 07:20 - Where Pantomath sits in the data stack 10:55 - How a broken Tableau report turns mission-critical with AI 12:55 - Who Pantomath sells to 15:35 - Solving for a problem that doesn't exist yet 19:03 - How have founder expectations changed today? 20:31 - Series B companies pre- and post-AI 21:26 - The Michael Jordan example 23:57 - How a repeat founder chooses investors 25:10 - What value Snowflake adds as a strategic investor 27:05 - Data is not an open category today 28:34 - The astounding Databricks outcome 29:08 - The reality of the $100 million ARR number 31:48 - Will non-human workers 100x in the next few years? 36:00 - How to protect data in motion 37:26 - How comfortable are we giving full access to agents? 39:47 - Where is automation fastest today? 42:09 - Why entrepreneurs tend to like uncertainty 43:28 - Why Shashank chose to be a founder 45:48 - A customer-driven $510M acquisition 48:32 - Employees vs contractors in any organization 51:22 - Building from Ohio vs the Bay Area 53:14 - Learnings from selling to enterprises 56:31 - How Shashank raised from Tier 1 US VCs 59:19 - Heads down or network as a founder? 1:02:47 - First-time vs second-time founder edge in AI 1:06:22 - Hiring as a repeat founder 1:08:08 - How enterprise sales has changed 1:10:52 - How do you sell for a problem that isn't visible today? 1:12:58 - Best piece of advice 1:16:27 - The only advice for a founder considering M&A 1:21:06 - Position yourself to be capable of taking risks 1:24:51 - What matters to an enterprise buyer? ------------- 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

1 Std. 32 Min.

9. Juni

94% CAGR: What the Inference Boom means for your AI costs | Vamshi Ambati

Vamshi Ambati has spent more than two decades in AI, through the symbolic era, statistical era, and the neural wave we're experiencing today. A CMU PhD, founder of LatentStructure and Predera (which was acquired), now an investor at Virama Ventures, he's one of the sharper voices on what's actually happening under the hood of the AI boom. We discuss a simple question: Who wins when models become cheaper and more abundant? And try to answer this by looking at how inference spend v/s compute spend is shifting, and why inference may become the biggest infrastructure opportunity of the next decade.Vamshi explains what actually goes into the cost of a token, why AI is simultaneously getting cheaper and more expensive, and why the inference market alone could reach $1.3 trillion by 2030. If you're building in AI or someone who wants a clear mental model of where this industry is headed, this conversation is for you. 00:00 - Trailer 0:45 - How an AI researcher thinks after 20 years 05:53 - Where enterprise AI adoption is headed 08:35 - Drawing parallels between cloud and AI 11:20 - If building is cheap, what's valuable? 13:37 - Can computing get cheaper? 16:41 - What is inference, really? 22:22 - Why coding and customer support got eaten first? 26:48 - Which technologies are overvalued and undervalued? 29:56 - An accidental entrepreneur's journey 33:15 - Why is healthcare slow to adopt technology? 38:59 - Landing Walmart as a customer 42:36 - Should founders build in services if product isn't visible? 43:47 - Is Palantir a product company or a services company? 44:15 - How to win as a forward-deployed company 46:23 - What it takes to land large enterprise customers 49:20 - Building sales muscles as a technical founder ------------- 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

52 Min.

3. Juni

This Startup Can End China’s Grip on Global EV Supply Chain | Bhaktha, Chara Tech

China processes nearly 90% of the world's rare earths. Rare earths are hidden inside everything from EVs and smartphones to fighter jets, making them one of the most critical materials powering the modern economy. When China restricted rare earth exports in April 2025, the world saw the huge risk of depending on a supply chain controlled by a single country. For Bhaktha Keshavachar, however, it was validation of a bet he had made 6 years earlier. After exiting Ezetap, Bhaktha founded Chara Tech to create electric motors that don't need rare earth magnets at all. The journey was anything but easy. Six years of R&D. Investors who didn't understand the problem. Customers who weren't convinced. And a motor technology that engineers had known about for over 200 years but never successfully commercialized at scale. Today, Chara is shipping hundreds of motors, signing major customers, and finding itself at the center of a global geopolitical shift. Bhaktha explains how software became the breakthrough that made rare-earth-free motors practical and what it takes to build a deep tech company long before the market believes the problem exists. If you are interested in building deep tech for the world, this episode is for you. 0:00 - Trailer 01:10 - When China bans rare earth exports 04:15 - How today’s rare earth shortage is like 1970s oil embargo 05:26 - Are rare earths really rare? 07:23 - Why China has a monopoly 11:43 - 3 reasons why Chara was founded 15:11 - How Chara made a 200-year-old technology practical 16:45 - How software protects deep tech startups 18:53 - The conviction to build deep tech in 2016 21:52 - Why electricity is still the biggest opportunity 26:59 - 4+1 technologies every country should possess 28:17 - The story of 6 years in R&D 33:16 - The response from early customers 36:10 - How China’s ban changed Chara’s journey 39:30 - Why Growth-stage fundraising for DeepTech is Hard 44:28 - What India needs to win in deep tech 52:53 - 3 things needed for a deep tech startup 55:10 - Why the wealthy should invest in deep tech 58:00 - Where Chara is today 01:03:47 - Why Intel lost the race it was winning ------------- 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/neon-fund/ X: 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

1 Std. 8 Min.

20. Mai

What if AI has Immunity like Humans? Ft. Animesh Koratana, PlayerZero

Will your software soon be a living organism with its own immune system? Animesh Koratana, founder of PlayerZero, started his software career long before he founded the company. Growing up in Atlanta, he spent his childhood inside his father’s software business, watching engineers sitting through the unglamorous work of QA and keeping systems alive after launch. He saw early that writing software was only half the problem. Maintaining it was the real battle. Years later at Stanford, he witnessed the birth of GPT-2 and Codex, the very foundation of GitHub Copilot. While much of the world focused on how AI would help engineers write software faster, he became obsessed with a different question: What happens when companies are flooded with AI-generated code that no single engineer fully understands? With PlayerZero, Animesh is building toward what he calls self-healing software: systems that behave less like static machines and more like living organisms with their own immune systems. At the center of that vision are “Context Graphs” which captures the "institutional memory" of a company: the deep knowledge held by a senior engineer who has spent years understanding how complex software breaks, the failure modes it develops, and the decisions behind fixing it. If you are building software today and wondering how reliability, debugging, and ownership will work when machines write most of the code, this episode is for you. 0:00 — Trailer 0:45 — Building Self-Healing Code 2:03 — First Exposure to LLMs Through GPT-2 3:45 — What Is PlayerZero? 5:42 — Institutional Memory of a Senior Engineer 7:10 — How Context Is Built 10:06 — The Viral “Context Graph” Piece 16:24 — The Outcome PlayerZero Delivers 19:59 — When the Agent Tells the Human What to Do 23:43 — Who Is PlayerZero Selling To? 26:56 — Why Software Should Be Treated Like Biology 28:54 — The PlayerZero Customer Pitch 30:37 — Can Software Really Have an Immune System? 35:15 — How Animesh Chose His Investors 36:55 — What’s Next for PlayerZero? ------------- 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

39 Min.

The Neon Show

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

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

How A 23-Year-Old Solo Founder Is Disrupting India's On-Demand Labor Market | Anjali Sardana, Pronto

Why Coding is the Fastest Path to AGI | Turing CEO Jonathan Siddharth

Questions Every Founder Must Answer Before Taking an Acquisition Offer | Shashank Saxena, VNDLY & Pantomath

94% CAGR: What the Inference Boom means for your AI costs | Vamshi Ambati

This Startup Can End China’s Grip on Global EV Supply Chain | Bhaktha, Chara Tech

What if AI has Immunity like Humans? Ft. Animesh Koratana, PlayerZero

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

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

How A 23-Year-Old Solo Founder Is Disrupting India's On-Demand Labor Market | Anjali Sardana, Pronto

Why Coding is the Fastest Path to AGI | Turing CEO Jonathan Siddharth

Questions Every Founder Must Answer Before Taking an Acquisition Offer | Shashank Saxena, VNDLY & Pantomath

94% CAGR: What the Inference Boom means for your AI costs | Vamshi Ambati

This Startup Can End China’s Grip on Global EV Supply Chain | Bhaktha, Chara Tech

What if AI has Immunity like Humans? Ft. Animesh Koratana, PlayerZero

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Das gefällt dir vielleicht auch