
Possible
by Reid Hoffman
Is this your podcast?Reid Hoffman is a renowned entrepreneur and investor, best known as the co-founder of LinkedIn and a prominent figure in Silicon Valley. His expertise in technology and innovation uniquely positions him to engage in deep discussions about t…
Insights from recent episode analysis
Audience Interest
- future of technology
- art and creativity
Podcast Focus
- exploring optimistic future scenarios
- conversations with thought leaders
Publishing Consistency
- 139 episodes produced
- active for 3 years
Platform Reach
- available on major podcast platforms
- potentially broad audience
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 9 chart positions in 9 markets.
By chart position
- 🇬🇧GB · Technology#1345K to 30K
- 🇰🇷KR · Technology#8910K to 30K
- 🇸🇪SE · Technology#2001K to 10K
- 🇨🇭CH · Technology#513K to 10K
- 🇦🇪AE · Technology#683K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
8.0K to 33K🎙 Daily cadence·139 episodes·Last published today - Monthly Reach
Unique listeners across all episodes (30 days)
27K to 109K🇬🇧28%🇰🇷28%🇸🇪9%+6 more - Active Followers
Loyal subscribers who consistently listen
8.0K to 33K360K real followers tracked across platforms
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 22 epsHost
Recent guests
Recent episodes
Training robots for a world they’ve never seen
Sep 2, 2026
59m 20s
Inside an AI-powered personal dashboard | Matthew Tiemann
Aug 26, 2026
31m 49s
The whole studio is one guy | Jonathan Brazeau
Aug 19, 2026
31m 55s
Making taxes fun with Pikachu and AI | Cadi Zhang
Aug 12, 2026
34m 37s
How Sougwen Chung teaches robots to pause
Aug 5, 2026
56m 21s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 9/2/26 | Training robots for a world they’ve never seen | Useful robots won’t be programmed one task at a time; they’ll need to adapt to unfamiliar objects, environments, and robot bodies. Physical Intelligence cofounder Chelsea Finn (named last month to the TIME100 AI list for 2026) joins Reid Hoffman and Aria Finger to explain how general-purpose robot models learn to act in the messy physical world. She explores why lower-quality training data can strengthen a model, what months of failed laundry-folding attempts revealed, and how the same system can work across different robot platforms. A robot mistaking an oven for a drawer becomes a lesson in the strange line between useful generalization and obvious error. They also examine why robot demos can mislead, how hardware reliability can stall progress, and what it will take to move AI off the screen and into the world. Congratulations to Chelsea, recently named one of TIME’s 100 most influential people in AI: https://time.com/collection/time100-ai/2026/chelsea-finn/ | 59m 20s | ||||||
| 8/26/26 | Inside an AI-powered personal dashboard | Matthew Tiemann | AI strategist Matthew Tiemann is building toward a world where AI agents work around the clock—and humans step in for the decisions that matter. Across his work at energy services company Foundry-Logic and his personal projects, he uses Claude Code, Codex, and Fable to automate knowledge work and accelerate software development. Those projects range from an AI-assisted iOS game to a personal dashboard informed by his goals, to-do list, and Oura Ring sleep data. Drawing on experience across data analytics, supply chain, robotics, logistics, and energy, Matthew joins Reid Hoffman and Parth Patil to explore proactive “heartbeat” agents and shared context. They also discuss adversarial review, 12-hour human check-ins, and AI’s limits in subjective judgment—revealing why human vision and alignment remain essential. | 31m 49s | ||||||
| 8/19/26 | The whole studio is one guy | Jonathan Brazeau | Jonathan Brazeau joins Reid Hoffman and Parth Patil to explain how AI animation and filmmaking are making the one-person studio possible—letting small teams create films that once required 100 people. From Dungeons & Dragons world-building and an RPG art book illustrated with Stable Diffusion, to a fantasy-western short film made with Midjourney, Luma AI, and Suno, Jonathan breaks down his workflow: character design, storyboarding, mocap, rotoscoping, music, and human curation. The conversation explores the “cogs and sparks” framework, what a lean AI-native studio can realistically accomplish, how taste separates art from AI slop, and why technology still can’t provide the essential creative spark. Read Questmaxxing on Substack: https://reidhoffman.substack.com/p/questmaxxing | 31m 55s | ||||||
| 8/12/26 | Making taxes fun with Pikachu and AI | Cadi Zhang | Cadi Zhang joins Reid Hoffman and Parth Patil to explore how generative AI is changing game development, world models, and robotics. Drawing on her work across Unity games, VR teleoperation, AI accounting, and robotics product operations, Cadi explains what virtual worlds can teach embodied intelligence—and why physical robots still lack the tactile, real-world data that can’t be scraped from the internet. She shares how she uses GPT, Blender, PixelLab, and Aseprite to prototype games faster, including a duck-themed imposter game and PokéTax, her Pokémon-inspired tax-filing game. AI can rapidly generate code, gameplay mechanics, and 3D assets, she says, but it still can’t judge whether a game feels fun, maintain a consistent art style, or model the precise force needed to fold a sheet of paper. Reid, Parth, and Cadi discuss simulation-to-reality gaps, the limits of current world models, robot safety, humanoid versus task-specific form factors, and why human taste remains the decisive creative skill. | 34m 37s | ||||||
| 8/5/26 | How Sougwen Chung teaches robots to pause | Sougwen Chung has spent more than a decade drawing alongside robots—not to automate their art, but to discover what changes when a machine becomes a creative partner. They join Reid to trace the evolution of D.O.U.G., a series of robotic collaborators that learns from Sougwen’s gestures, including a neural network trained on two decades of their drawings. Sougwen explains why unexpected machine marks became errors to “poeticize,” what becoming machine-readable taught them about remaining human, and why they call their practice “operational art” rather than “AI art.” They also explore a new system guided by brainwaves and an ancient calligraphic pause—and ask whether the intelligent systems we build need more than speed and capability. Maybe they also need silence, restraint, and the wisdom to wait. Credits: A big thanks to Natalie Stone, Tessa Nijdam, Arina Ermakova , the Scilicet team, Fellowship, Reece Straw, Sam Osborn, Nick Capezzera, Maximilian Andereya, Peter Butterworth, Haruka Wang and the team at Mosaic Ventures for hosting the conversation. Additional Credits: MIMICRY (Drawing Operations Unit: Generation_1), 2015. Footage: Sam Osborn and Nick Capezzera. MEMORY (Drawing Operations Unit: Generation_2), 2017. Footage: NTT InterCommunication Center Tokyo. COLLECTIVITY (Drawing Operations Unit: Generation_3), 2018. Footage: New INC & Nokia Bell Labs. SPECTRALITY (Drawing Operations Unit: Generation_4), 2020. Footage: Maximilian Andereya. ASSEMBLY (Drawing Operations Unit: Generation_5), 2022. Footage: Peter Butterworth. GENESIS Process Film, 2023. Courtesy of the artist and Studio SCILICET. | 56m 21s | ||||||
| 7/29/26 | The artist using AI to sell brands | Joe Salvatore | Visual artist and brand content creator Joe Salvatore joins Reid Hoffman and Parth Patil to explain how AI is turning creative professionals into orchestrators of systems rather than makers of one piece at a time. Joe spent four years chasing every new image and video model out of pure creative curiosity before Parth pushed him to take a step back and become a director of these tools. He traces that shift, from generating a single image, to making 200, to running fully automated ad campaigns through Codex, and explains why the critical skill turned out not to be technical at all. As he puts it, he can outsource production, but he can't outsource his taste. He walks through a live campaign for Ketone-IQ, using a Hermes agent to research decades of proven advertising styles, then chaining models together to generate and grade hundreds of on-brand variations overnight. He and Parth get into how a shared creative agent learns from everyone it works with, why articulating an idea clearly has become the differentiator, and how AI made the gap between a sloppy brief and a tight one impossible to hide. Reid, Parth and Joe close on Wittgenstein, and why language no longer just describes the world but summons it. Referenced in episode: the Lord of the Rings x Wes Anderson AI trailer: https://www.youtube.com/watch?v=KrjL_TSOFrI | 36m 41s | ||||||
| 7/22/26 | The creator using AI to go viral | Will Weinbach | Social media strategist Will Weinbach joins Reid Hoffman and Parth Patil to explain how AI agents are reshaping content, distribution, and what a single creator can build. Will had never written a line of code before Parth handed him the tools to start. He traces his path from using ChatGPT to write essays, to vibe coding his own software, to running autonomous remote agents like OpenClaw and Hermes—systems that accumulate skills and memory and improve themselves on the fly. Not knowing how anything works under the hood, he argues, is exactly what lets him experiment without fear of what he might break. He walks through the fully autonomous social workflow he built, an agent that pulls, edits, captions, schedules, and posts content across every platform, then reads the analytics and A/B tests itself toward a goal. He also recounts the night his agent went rogue and posted four times at 4 a.m., and the experiment where he put an agent inside his TV just to see if it would work. Along the way, Will and Reid dig into what younger creators understand about attention that older marketing teams miss, and what happens to the resume when the real skill becomes knowing how to use AI. For Will, the edge isn't expertise. It's a willingness to try. | 36m 46s | ||||||
| 7/15/26 | AI in filmHollywood+4 | Parth PatilBen Hansford | DALL-EMidjourney+2 | — | AIHollywood+5 | — | 34m 31s | ||
| 7/8/26 | AItokens+4 | Parth Patil | Reid AIToken Grantee program+1 | — | AI agentstokens+6 | — | 32m 08s | ||
| 7/1/26 | aviationaerospace+4 | Blake Scholl | Boom Supersonic | — | aviationaerospace supply chain+3 | — | 1h 16m 11s | ||
| 6/24/26 | carbon removalclimate change+3 | Nan Ransohoff | StripeFrontier | — | carbon removalclimate goals+4 | — | 1h 11m 20s | ||
| 6/17/26 | AI IPOstechnology+5 | Aria | AIInstagram | — | AIIPOs+6 | — | 29m 26s | ||
| 6/5/26 | AI and workbusiness transformation+5 | Satya Nadella | MicrosoftMicrosoft Build 2026+1 | — | AIhuman capital+6 | — | 1h 01m 31s | ||
| 6/3/26 | trust in AIAI agents+4 | Kanjun Qiu | NVIDIAImbue+2 | — | AItrustworthy systems+4 | — | 56m 38s | ||
| 5/27/26 | AIdrug discovery+4 | Aria | Manas AIAnthropic | — | AIdrug discovery+5 | — | 34m 26s | ||
| 5/20/26 | AIupskilling+3 | — | WaitWhatPioneers of AI | AI | AIupskill+5 | — | 38m 14s | ||
| 5/13/26 | AIfinance+4 | Aria | cryptoCoinbase+2 | — | AI-nativefinance+5 | — | 32m 36s | ||
| 5/6/26 | digital artNFTs+4 | Mike Winkelmann | robot dogsAI-built sculptures+2 | — | BeepleNFTs+5 | — | 1h 03m 43s | ||
| 4/29/26 | AIgenerative image tools+5 | Aria | ChatGPT Images 2.0 | — | AIgenerative tools+6 | — | 27m 27s | ||
| 4/22/26 | AI in entertainmenteducation reform+3 | Reed Hastings | NetflixMicrosoft+3 | Stanford | Reed HastingsNetflix+6 | — | 1h 01m 25s | ||
| 4/15/26 | AI infrastructuredevice integration+3 | Aria | GeminiChatGPT+2 | — | AIinfrastructure+5 | — | 27m 50s | ||
| 4/8/26 | geopolitical battle over chipsAI attack surface+5 | Aria | ChinaU.S. | — | AIgeopolitics+5 | — | 23m 15s | ||
| 4/1/26 | AI-driven economyfinancial infrastructure+4 | Aria FingerSean Neville | CircleCatena Labs+1 | — | AIbank account+5 | — | 58m 32s | ||
| 3/25/26 | SaaS evolutionAI integration+3 | Aria | SaaSAI | — | SaaSAI+5 | — | 20m 46s | ||
| 3/18/26 | AI power dynamicshuman creativity+4 | Aria | PalantirNYT | — | AIcreativity+7 | — | 24m 22s | ||
Showing 25 of 159
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Distribution & Reach
About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.
Reid Hoffman is a renowned entrepreneur and investor, best known as the co-founder of LinkedIn and a prominent figure in Silicon Valley. His expertise in technology and innovation uniquely positions him to engage in deep discussions about the future of society and the role of emerging technologies. "Possible" stands out as an award-winning podcast that envisions a hopeful future where humanity thrives, exploring the intersection of technology, art, education, and healthcare. Each episode features Hoffman and co-host Aria Finger conversing with leading thinkers and innovators, focusing on how advancements, particularly in AI, can positively shape the world. The podcast attracts a diverse audience of technology enthusiasts, business leaders, and curious minds who seek inspiration and insights into future possibilities. Listeners gain valuable perspectives on navigating technological change and are encouraged to think critically about how to harness innovation for the greater good.
By the numbers
- Total followers: 360K
- Total plays: 5.8M
- Total reviews: 130
Platforms
Castbox
- Followers: 247K
- Plays: 1.4M
- Reviews: 7
YouTube
- Subscribers: 113K
- Views: 4.4M
- Videos: 655
Podcast App
- Followers: 129
- Reviews: 123
Find them online
Audience
professionals
Key insights
What the show covers
- exploring optimistic future scenarios
- conversations with thought leaders
- technology shaping the future
- AI tools in discussions
Audience interests
- future of technology
- art and creativity
- impact of AI
- education and healthcare advancements
Platform reach
- available on major podcast platforms
- potentially broad audience
- no specific platforms detected
- unknown follower count
Publishing consistency
- 139 episodes produced
- active for 3 years
- weekly episode cadence
- consistent content delivery
Chart history for Possible
Peaked at #51 in CH, currently #51 in CH.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| CH | — | #51 | #51 | — |
| AE | — | #68 | #68 | — |
| South Korea | — | #89 | #89 | — |
| AT | — | #90 | #90 | — |
| United Kingdom | — | #134 | #134 | — |
| MY | — | #183 | #183 | — |
| GR | — | #187 | #187 | — |
| ID | — | #193 | #193 | — |
| Sweden | — | #200 | #200 | — |
Chart Positions
9 placements across 9 markets.
Chart Positions
9 placements across 9 markets.