[BidClub_]

SHOW DIRECTORY

Cheeky Pint

Stripe cofounder John Collison interviews founders, builders, and leaders over a pint.

SOURCE DESCRIPTION · RSS

4 EPISODESENTRACKED SHOW
SUBSCRIBE[Feed_]
4 episodes
Language
Cheeky PintEN · 134 min

Muse Wonder: Zuckerberg and Wang's $100B AI

John CollisonMark ZuckerbergAlexandr Wang

Meta is making a $100 billion-scale infrastructure wager to return to the frontier with Muse Wonder, a larger model optimized for personal and professional agents, active memory, long-horizon focus and multimodality.Paid access, APIs, enterprise distribution, commerce and existing-business growth must fund the buildout, while resale or internal use partly hedges downside if models or AI disappoint.

Cheeky PintEN · 62 min

What comes after smartphones, with Evan Spiegel of Snap

John CollisonEvan Spiegel

Snap enters 2026 near 1 billion monthly active users and net-income profitability, with consumer Specs launching after 12 years of investment to pair normal-glasses wearability with spatial-computer capabilities.With over two-thirds of new code AI-written, 25 million Snapchat+ subscribers, and direct revenue above $1 billion, cheaper software may increase the value of Snap’s distribution and proprietary hardware.

Cheeky PintEN · 81 min

The economics and trends of the restaurant industry, with Tony Xu of DoorDash

John CollisonTony Xu

DoorDash won by proving retention and frequency before buying growth, with product reliability, service recovery, and scarce-capital discipline establishing an “unfair advantage” before acquisition spending accelerated.Its larger opportunity now spans 3–5x incremental restaurant margins, SevenRooms-powered customer identity, and multimodal delivery, but AI interfaces matter only if DoorDash solves inventory, exceptions, and post-checkout reliability end to end.

Cheeky PintEN · 60 min

The world of voice AI, with Mati Staniszewski of ElevenLabs

John CollisonMati Staniszewski

ElevenLabs is building a more sales-led enterprise business, making the shift in customer mix a key signal for the company’s next phase.Its potential moat combines model architecture with proprietary prosody data, while cascaded agents may anchor complex workflows until conversational orchestration improves enough to support broader deployment.