TechCrunch

•

ચૅનલ • 2 શો

ઉદ્યોગસાહસિકતા

ઉદ્યોગસાહસિકતા

સાપ્તાહિક અપડેટ કરેલ
પ્રૌદ્યોગિક વિજ્ઞાન

પ્રૌદ્યોગિક વિજ્ઞાન

સાપ્તાહિક અપડેટ કરેલ

4 દિવસ પહેલાં

Space: the final frontier of AI infrastructure

Tech companies are racing to build data centers in space, pitching orbital compute as the next frontier for AI infrastructure, even as the technical and economic realities remain far from clear. Add in OpenAI’s massive $122 billion round and Bluesky’s latest AI backlash, and the message is clear: The future of AI is being shaped as much by ambition and hype as it is by real-world constraints. On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O’Kane unpack these massive capital bets, user backlash, and off-world compute plans along with Whoop’s major valuation and the literal downfall of robot Olaf. Listen to the full episode to hear about: OpenAI’s $122 billion fundraise and what its near-trillion-dollar valuation says about expectations for AI. Whoop’s $575 million raise and the shift toward “wearables 2.0” (and what happens to all that data). Bluesky’s AI-powered feed builder and why it triggered a major user backlash. The rise of data centers in space and whether they are financially or physically feasible. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:20 A humanoid Olaf robot collapses at Disneyland Paris 03:30 OpenAI raises $122B at an $852B valuation 11:30 Whoop lands $575M and bets big on wearable data 18:50 The risks (and value) of personal health data 23:00 Bluesky’s AI feed builder sparks backlash 30:00 Can Bluesky keep growing — and compete with X? 36:30 The race to build data centers in space 44:30 SpaceX, Starlink, and the business of orbital compute 49:30 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

4 દિવસ પહેલાં

•

34 મિ૰
6 દિવસ પહેલાં

Why private wealth is cutting out the VC middleman

The VC middleman is getting cut out faster than anyone expected. Family offices and private wealth firms are going direct: writing checks, taking board seats, even incubating companies from scratch. And more founders are starting to notice. In February alone, family offices made 41 direct investments, including one Midwest-based firm that led a $230 million Series B into an AI chip startup. On this episode of TechCrunch's Equity podcast, Rebecca Bellan caught up with Mitch Stein and Ari Schottenstein, founder and head of alternatives at ARENA Private Wealth, to find out what this shift means for founders, cap tables, and the future of AI investment. Listen to the full episode to hear: How Arena landed the lead on Positron's $230 million Series B, and why the CEO specifically wanted them on his cap table How Arena does due diligence on technical companies What "tourist capital" actually looks like, and the red flags founders should watch for as family offices flood into AI deals Why some VCs are quietly unhappy about this trend (and why Arena thinks that's their problem) Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 03:13 Why family offices are going direct now 06:03 The gen 2 & gen 3 family office shift 07:22 Is this strategic or just AI FOMO? 10:17 How Arena got into the Positron deal 14:30 Why founders want private wealth on their cap table 18:31 Due diligence on technical companies 21:56 Red flags founders should watch for 25:04 Are VCs threatened by this trend? 27:47 Taking board seats & level of involvement 34:17 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

6 દિવસ પહેલાં

•

32 મિ૰
27 માર્ચ

VCs are betting billions on AI's next wave, so why is OpenAI killing Sora?

When an 82-year-old Kentucky woman was offered $26 million from an AI company that wanted to build a data center on her land, she said no. Sure, that same company can try to rezone 2,000 acres nearby anyway, but as AI infrastructure stretches further into the real world, the real world is starting to push back. That tension is everywhere this week, from OpenAI shutting down its Sora app to courts finally starting to hold social platforms accountable. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what it looks like when the AI hype cycle meets reality. Listen to the full episode to hear about: Why rival prediction market CEOs of Kalshi and Polymarket are co-investing in a $35M VC fund How drone startups like Zipline, Lucid Bots, and Brinc are finding real traction where other robotics plays have stalled What Kleiner Perkins' $3.5B raise says about where the biggest VC firms think the next AI wave is going Why two separate court verdicts against Meta in the same week could be the “tobacco moment” for social media Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:30 Would you turn down $26M for your farm? 03:56 Rivals Kalshi & Polymarket CEOs are investing together 10:28 Deals for drones: Zipline, Brinc & Lucid Bots 18:17 Kleiner Perkins goes all-in on AI with $3.5B raise 22:52 OpenAI shuts down Sora 28:04 Meta gets hit with dual verdicts 34:56 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

27 માર્ચ

•

37 મિ૰
20 માર્ચ

Nvidia has an OpenClaw strategy. Do you?

Jensen Huang took the stage at Nvidia's GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027, declaring that every company needs an “OpenClaw strategy,” and closing with a rambling Olaf robot that had to get its mic cut. The message was hard to miss: Nvidia wants to be foundational to everything, from AI training to autonomous vehicles to Disney parks. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane break down what Nvidia's growing web of AI infrastructure partnerships actually means for startups, and more of the week's headlines. Listen to the full episode to hear about: Travis Kalanick’s return building a "wheelbase for robots" with his new startup Atoms, and the crew has questions about Kalanick’s acquisitions along the way Rivian’s partnership with Uber to build robotaxi versions of its R2 in a deal worth up to $1.25 billion, while pushing back its EBITDA target to do it Frore landing a $1.64 billion valuation for its AI chip cooling systems xAI rebooting, again, with only two of its original eleven co-founders still standing Garry Tan's Claude Code setup went viral at SXSW (Spoiler: the crew is not impressed). Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:20 Garry Tan's Claude Code setup goes viral at SXSW 03:37 Travis Kalanick is back with a new startup 12:51 Uber and Rivian's $1.25B RoboTaxi deal 20:54 Chip cooling startup Frore becomes a unicorn 22:56 Nvidia GTC recap: $1 trillion in sales projections 31:42 Elon Musk is rebooting xAI...again 36:37 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

20 માર્ચ

•

38 મિ૰
26 ફેબ્રુ

AI-driven hiring and the science of compatibility

This season on Build Mode, we’re breaking down what it really takes to build a world-class team and that starts with hiring the right people the first time. This week, we’re joined by Sarah Lucena, founder and CEO of Mappa, a behavioral intelligence platform that uses voice AI to decode human behavior in under 60 seconds. After rebuilding teams over and over again early in her career, Sarah set out to answer the question: why do “great on paper” candidates fail to flourish after their hired? In this episode, she explains how Mapa analyzes thousands of voice biomarkers, from speech patterns to linguistic signals, to build behavioral profiles and match candidates based on compatibility, not just the on-paper credentials. They help their clients make the right hired the first time, saving crucial time and money. She breaks down: • Why most hiring decisions are still a gamble • Compatibility vs. similarity (and why it matters) • How voice biomarkers reveal behavioral traits • How to reduce bias without lowering the bar • How founders should think about building aligned teams Whether you’re hiring your first employee or scaling a fast-growing startup, this episode will change the way you think about talent, team dynamics, and what it really means to be a “fit.” Chapters: 00:00 – Why great hires still fail 00:47 – Meet Sarah Lucena (Founder & CEO, Mappa) 01:39 – What Mappa does: voice → behavioral intelligence 04:22 – Why voice (not video) is the best signal 06:03 – The proprietary dataset & real-life outcomes 12:30 – Mapping companies, not just candidates 14:27 – Compatibility vs. similarity 16:10 – Bias, diversity & better hiring signals 23:53 – Expanding beyond hiring (VCs, finance, insurance) 30:16 – Using Mappa to evaluate investors 33:02 – Building Mappa’s own team 35:49 – Founder advice: patience, compatibility & lawyers 39:16 – Startup Battlefield experience 41:29 – Outro New episodes of Build Mode drop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams.

26 ફેબ્રુ

•

44 મિ૰
11 માર્ચ

How Poppi went from a Shark Tank pitch to a $1.95B exit

For years, venture capitalists have been skeptical of beverage startups, citing thin margins and brutal distribution as reasons most brands never break out. But a new wave of “functional soda” companies has been challenging that assumption, including Poppi, the prebiotic soda brand that grew from a kitchen experiment into a $1.95 billion acquisition by PepsiCo. On this episode of TechCrunch’s Equity podcast, Rebecca Bellan is joined by Poppi co-founder Allison Ellsworth to talk about building a beverage startup in a venture world dominated by SaaS and AI. From pitching on Shark Tank while nine months pregnant to scaling a digital-first brand during COVID, and now returning as a Shark herself, Ellsworth shares how social media, fast marketing bets, and customer feedback helped turn a niche drink into a category-defining company. Listen to the full episode to hear about: Ellsworth’s Shark Tank return, and how she evaluates founders on the other side of the pitch. How Ellsworth turned a personal health issue into Poppi and built early traction at farmers' markets. Why TikTok and community-driven marketing helped the brand rack up billions of views and loyal fans. The risky decision to buy a last-minute Super Bowl ad, and how the team executed it in days. What it’s like selling a startup to PepsiCo while trying to preserve the brand’s identity. Why beverage startups almost inevitably need acquisition-level distribution to scale. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

11 માર્ચ

•

28 મિ૰
25 માર્ચ

ReelShort made $1.2 billion on werewolf romances. Watch Club wants to do it better.

Over the past few years, a new category of mobile apps has quietly exploded into a multi-billion dollar business. They're called “micro dramas” — short-form, mobile-first scripted shows designed to be watched vertically on your phone. Think soap opera meets TikTok, complete with secret billionaire romances, disapproving werewolf mothers-in-law, and cliffhangers engineered to keep users tapping. The leading app, ReelShort, made $1.2 billion in consumer spending last year alone. On this episode of TechCrunch's Equity podcast, Rebecca Bellan and TechCrunch senior reporter Amanda Silberling sit down with Henry Soong, founder of Watch Club, who thinks the micro drama industry is still "in its MySpace era." He has a vision for what the Facebook moment could look like. Listen to the full episode to hear: Why micro dramas took off in China while Quibi burned through $2 billion and failed in the U.S., and what that gap reveals about content, product, and business model. How Watch Club is targeting a completely different audience than ReelShort and Drama Box. The tension between building an intentional social experience and optimizing for engagement the way TikTok does. Whether AI is coming for the werewolf billionaire romance script. Amanda has thoughts. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 01:11 Why micro dramas, and why now? 04:25 What makes Watch Club different 07:29 The monetization model problem 18:52 Optimizing for intentionality, not engagement 24:23 Why Quibby failed (content, product & business model) 28:22 Defensibility: tech company or studio? 31:36 AI, the WGA, and the future of storytelling 33:44 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

25 માર્ચ

•

37 મિ૰
5 દિવસ પહેલાં

Diverse teams start with diverse VCs with Leah Solivan, Taskrabbit

If one thing has become clear this season, finding the right talent for your team isn’t as easy as picking from a pile of resumes This week’s guest is Leah Solivan, the founder of Taskrabbit and now an early-stage investor who has seen that the power to change a homogenous startup exosystem comes from empowering diverse VCs to fund underrepresented founders who will hire the hidden tech talent. From bootstrapping TaskRabbit on credit cards to scaling it into one of the defining companies of the gig economy, Leah learned firsthand that the hardest part of building a company isn’t the product, it’s selecting the right people to build it. In this episode, Isabelle Johannessen and Leah unpack what it really takes to build diverse teams from day one and why most companies get it wrong by waiting too long. They also explore how the lack of diversity in venture capital directly shapes who gets funded, and ultimately, who gets hired. They discuss: How to build diverse teams intentionally from the very beginning Why the “easy path” in hiring leads to less diverse outcomes The connection between diverse VCs and diverse companies How to hire for culture and values over credentials Apply to Startup Battlefield: We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself): techcrunch.com/apply. Be sure to say you heard about Startup Battlefield from the Build Mode podcast. TechCrunch Disrupt: If you're thinking about applying to Startup Battlefield, then October 13 to 15 in San Francisco, we're back for TechCrunch Disrupt, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with 1000s of founders, VCs, and tech enthusiasts, then grab your tickets. Use code buildmode15 for 15% off any ticket type. Chapters: 00:00 The hard way to hire diverse talent 01:20 From engineer to Taskrabbit founder03:39 The moment that sparked Taskrabbit 07:39 Why building teams is the hardest part 12:06 Learning how to hire from scratch 17:36 Why venture capital lacks diversity 27:25 How to build diverse teams from day one 39:42 What founders get wrong about competition

5 દિવસ પહેલાં

•

47 મિ૰
30/07/2025

Who really benefits from the AI boom?

If you've been hearing about Trump's AI Action Plan and wondering who it actually benefits, you're not alone. On today's episode of Equity, Rebecca Bellan caught up with Amba Kak and Dr. Sarah Myers West from the AI Now Institute, a think tank focused on the social implications of AI and the consolidation of power in tech industry. Their recent report, dubbed Artificial Power, lays out the political economy driving today's AI frenzy and what’s at stake for everyone else. Artificial Power pushes back on what AI Now calls the "too big to fail" myth, arguing that AI companies are pouring billions into massive compute infrastructure and foundational models, often with government support, despite shaky business models and limited public accountability. Listen to the full episode to hear about: AI’s growing consolidation and how it mirrors Big Tech’s power dynamics. Why Silicon Valley is cheering on Trump's AI agenda, and the challenges of regulating AI. The disconnect between AGI hype and current, real-world harms. What a democratic, just, and accountable AI future could look like. Equity will be back Friday with our weekly news roundup, so stay tuned. Equity is TechCrunch’s flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday. Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

30/07/2025

•

30 મિ૰
26 માર્ચ

Why hiring the weirdos works with Isaiah Granet, Bland

If one thing has become clear this season, it’s that there is no formula to building the perfect team. But no one breaks the mold quite like this week’s guest, Isaiah Granet, the co-founder and CEO of Bland. The voice AI startup has been growing at a breakneck speed but the founding team has taken their time to prioritize passion over pedigree and find their team members in places many might not think to look. In this episode, Isabelle Johannessen and Isaiah Granet unpack a radically different approach to hiring that prioritizes aligned work ethic, curiosity, and flexibility rather than resumes and connections. So far, that approach has worked for Bland. The scrappy team has gone from pre-seed to series B in less than a year. They discuss: How to identify “hidden gem” talent in unexpected places The role of cold inbound and unconventional sourcing When to hire ahead of need and when not to How hiring philosophy shapes company culture at scale Apply to Startup Battlefield: We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself): techcrunch.com/apply. Be sure to say you heard about Startup Battlefield from the Build Mode podcast. TechCrunch Disrupt: If you're thinking about applying to Startup Battlefield, then October 13 to 15 in San Francisco, we're back for TechCrunch Disrupt, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with 1000s of founders, VCs, and tech enthusiasts, then grab your tickets. Use code buildmode15 for 15% off any ticket type. Chapters: 00:00 — Hiring for Passion Over Pedigree 02:42 — Pivoting Into Voice AI 03:49 — Explosive Growth: Pre-Seed to Series B 05:00 — Surviving Hypergrowth 10:00 — Rethinking Hiring: Finding Hidden Talent 16:30 — Building and Scaling Culture 24:00 — Who to Hire (and When to Fire) 41:30 — Compensation, Equity, and Final Lessons New episodes of Build Mode drop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams.

26 માર્ચ

•

50 મિ૰

TechCrunch podcasts cover the business of technology, startups, venture capital funding, crypto, and the humans behind it all.

વેબસાઇટ

TechCrunch

ટૉપ શો

Space: the final frontier of AI infrastructure

Why private wealth is cutting out the VC middleman

VCs are betting billions on AI's next wave, so why is OpenAI killing Sora?

Nvidia has an OpenClaw strategy. Do you?

AI-driven hiring and the science of compatibility

How Poppi went from a Shark Tank pitch to a $1.95B exit

ReelShort made $1.2 billion on werewolf romances. Watch Club wants to do it better.

Diverse teams start with diverse VCs with Leah Solivan, Taskrabbit

Who really benefits from the AI boom?

Why hiring the weirdos works with Isaiah Granet, Bland

વિષે

TechCrunch

ટૉપ શો

ટૉપ ઍપિસોડ

વિષે