Equity

TechCrunch, Rebecca Bellan, Kirsten Korosec, Anthony Ha, Sean O'Kane, Theresa Loconsolo
Equity
Najnowszy odcinek

740 odcinków

  • Equity

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

    25.03.2026 | 36 min.
    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 
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  • Equity

    Nvidia has an OpenClaw strategy. Do you?

    20.03.2026 | 38 min.
    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 
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  • Equity

    The PhD students who became the judges of the AI industry

    18.03.2026 | 26 min.
    Artificial intelligence models are multiplying fast, and competition is stiff. With so many players crowding the space, which one will be the best — and who decides that? Arena, formerly LM Arena, has emerged as the de facto public leaderboard for frontier LLMs, influencing funding, launches, and PR cycles. In just seven months, the startup went from a UC Berkeley PhD research project to being valued at $1.7 billion. 

    On this episode of TechCrunch's Equity podcast, Rebecca Bellan catches up with Arena co-founders Anastasios Angelopoulos and Wei-Lin Chiang to determine how a team like theirs can build a neutral benchmark when the companies they’re ranking are also their backers. 

    Listen to the full episode to hear: 


    How Arena actually works, and why its founders say you can't game it the way you mighta static benchmark. 


    What "structural neutrality" actually means, and whether taking money from OpenAI, Google, and Anthropic is a conflict of interest. 


    How Arena is moving beyond chat to benchmark agents, coding, and real-world tasks with a new enterprise product. 


    Why Claude is currently winning the expert leaderboard for legal and medical use cases. 


    Arena's bet on what comes after LLMs, and why agents are next on the leaderboard. 

    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 

    03:00 How Arena's leaderboard works, and why it's different from static benchmarks 

    07:00 Reproducibility concerns and how to scale 

    08:45 Can Arena stay independent while taking money from the labs it ranks? 

    11:15 Diversity, fraud prevention, and abuse mitigation 

    18:15 Arena's "data moat" 

    19:20 Agent benchmarking and expert leaderboards 

    21:40 Open sourcing data 

    22:45 How do Arena's rankings shape AI development? 

    24:15 Outro 
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  • Equity

    Wiz's first investor breaks down Google's $32B acquisition

    13.03.2026 | 40 min.
    According to Index Ventures Partner Shardul Shah, cybersecurity startup Wiz sits “at the center of three tailwinds: AI, cloud, and security spend.” Those tailwinds powered what just became the largest venture-backed acquisition in history — Google's $32 billion deal, finalized after a declined 2024 offer, antitrust review on both sides of the Atlantic, and an extra $9 billion to sweeten the pot. 

     

    On this episode of TechCrunch's Equity podcast, Anthony Ha, Rebecca Bellan, and Sean O'Kane sit down with Shah to dig into what made Wiz worth that price tag, and also cover more of the week's headlines. 

     

    Listen to the full episode to hear about: 


    Why a DOGE employee allegedly walked out of the Social Security Administration with a thumb drive full of personal data, and the questions it raises about access to sensitive systems 


    Taya and Sandbar, the latest startups betting voice is the next big AI interface — but do normal consumers agree? 


    Palmer Luckey raising for a retro gaming startup at a $1 billion valuation 


    Meta’s acquisition of Moltbook, the viral AI agent social network 


    The latest in the Anthropic vs. DoD saga, including tech workers at OpenAI, Google, and Microsoft signing their names on a legal brief in support of Anthropic 

    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 

    00:16 Did a DOGE employee steal your SSN? 

    02:53 AI note-taking wearables are back: Taya & Sandbar 

    09:18 Palmer Lucky's retro gaming startup ModRetro 

    13:39 Meta acquires AI agent social network Moltbot 

    18:54 Inside Google's $32B Wiz acquisition with Shardul Shah 

    28:41 Anthropic's lawsuit against the DoD 

    38:40 Outro 
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  • Equity

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

    11.03.2026 | 27 min.
    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. 
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O Equity

The intersection of technology, startups, and venture capital touches everything now. That’s why Equity, TechCrunch's flagship podcast, digs into the business of startups for entrepreneurs and enthusiasts alike. Every Wednesday and Friday, TechCrunch reporters keep you up-to-date on the world of business, technology, and venture capital. Equity is ranked the No.2 podcast in the Top 100 Venture Capital All time leaderboard on Goodpods—As well as No.17 for the Top 100 Finance All time chart and No.32 for the Top 100 Business News All time chart.
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