How do you power the next generation of AI — without centralized data monopolies?

In this episode, I talk with Ben Noble, Marketing Director at Sapien, about how Sapien is building the world’s first decentralized data foundry — rewarding people for training AI and contributing real-world data.

We cover:

• How Sapien is combining Web3 incentives with AI data collection

• Why real human input still matters for AI training

• Ben’s best advice for marketing Web3/AI startups

• Storytelling strategies for founders

• How to simplify complex ideas and drive viral messaging

If you’re building in AI, Web3, or growth marketing, this episode is packed with practical insights you can use immediately.

Key Timestamps

[00:00:00] Introduction: Sam introduces the episode and previews key topics: AI, Web3, storytelling, and startup growth.

[00:01:00] Ben’s Journey: How Ben got started in AI, left for Web3, and came full circle.

[00:04:00] What Sapien Does: Decentralized data foundry explained — sourcing human expertise to train AI.

[00:06:00] How It Works: How users earn rewards by contributing data to Sapien’s platform.

[00:09:00] Customers and Use Cases: Sapien’s partnerships with enterprises like Alibaba, the UN, and others. [00:13:00] Safeguards: How Sapien prevents bots and fake data submissions. [00:15:00] Why Human Data Still Matters: The limits of AI and the need for human empathy and diversity. [00:19:00] Growth Strategies: Ben shares why partnerships and referrals outperform traditional marketing.

[00:22:00] Web3 vs Web2 Marketing: The importance of authenticity, speed, and viral one-liners.

[00:27:00] Future of AI: Will we see iterative improvements or major leaps? Ben’s perspective.

[00:30:00] Storytelling Lessons: Why contextualizing numbers is crucial for effective messaging.

[00:36:00] What’s Next for Sapien: Growing to 1M+ taskers and scaling the AI gig economy.

[00:39:00] How to Get Involved: Sapien is closing their Series A and looking for users to join their data platform.

Connect

https://game.sapien.io/

https://www.linkedin.com/company/playsapien/

https://x.com/playsapien

https://www.linkedin.com/in/benjaminmnoble/

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

How do you grow a Web3 startup without falling into the same old traps — airdrops, bots, and unsustainable hype?

In this episode, I speak with Sandesh, founder of Bandit Network, who shares how they’re building growth infrastructure for Web3 — combining off-chain and on-chain data, enabling sustainable campaigns, and even launching their own rollup for deeper integrations.

We explore:

• Why airdrops and point systems often fail

• How meme launchpads are evolving into engagement tools

• Mapping Twitter usernames to wallet addresses

• Growth lessons from powering campaigns for Bonk, Brave, and Shardeum

If you care about Web3 user acquisition, retention, and real community-led engagement — this one's for you.

Key Timestamps

[00:00:00] Introduction: Sam sets up the episode and introduces Sandesh from Bandit Network. [00:01:00] Bandit Overview: Sandesh explains what Bandit does and how his journey from AI to Web3 began. [00:04:00] Early Web3 Involvement: Sandesh shares how his AI-powered creator startup was acquired and how that led to Bandit. [00:06:00] The Problem with Growth Tools: Why airdrop tools failed and how Bandit builds Lego-like infrastructure for campaigns. [00:09:00] Trends in Growth: Why meme launchpads are evolving into community engagement tools. [00:13:00] Meme Campaign Example: How one community uses roasts and meme voting as engagement loops. [00:15:00] Airdrops vs Bots: Sandesh explains how Bandit uses tools like Proof of Humanity and Bitcoin Passport to combat sybil attacks. [00:18:00] Challenges and Monetization: Bandit’s biggest challenge is staying trend-adaptable; revenue is SaaS + custom token deals. [00:21:00] What’s Next: Bandit is launching a rollup protocol for mapping Web2 identities to Web3 wallets. [00:24:00] The Bigger Vision: Building a decentralized growth protocol with support from QuickNode. [00:25:00] Fundraising: Bandit is raising $3–4M in their current seed round. [00:26:00] Closing Thoughts: Sam recaps why Bandit solves a real and pressing pain point in Web3 growth.

Connect

http://bandit.network/

https://x.com/OnBndit

https://www.linkedin.com/company/onbndit/

https://www.linkedin.com/in/sandeshbsuvarna/

https://x.com/sandeshsuvarna
Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

What happens when a meme coin gets rugged—and the community takes over?

In this episode, Sam chats with S from Neiro, the community takeover lead, to explore the real mechanics behind meme coin takeovers, the evolution of the Neiro project, and how it became the spiritual successor to Dogecoin.

From Vitalik-backed donations to exclusive IP licensing and thoughts on political meme coins like TrumpCoin and Milady, S shares what it takes to build a decentralized movement in a chaotic crypto market.

They also dive into the current state of macroeconomic uncertainty, how meme coins can bridge to real-world products, and why community contributors matter more than token holders.

Key Timestamps

• [00:00:00] Introduction: Sam introduces S from Neiro and sets the tone for a deep dive into community-led meme coins.

• [00:01:00] Neiro Origins: S shares how he stumbled into Neiro after a developer rugged and the community took over.

• [00:03:00] What Is a Community Takeover?: S explains how decentralized contributors rebuild abandoned tokens.

• [00:07:00] Decentralization & Purpose: Why meme coins can create meaning and a sense of belonging.

• [00:09:00] Charity & Vitalik's Donation: How Neiro caught Vitalik’s attention and began its mission-led narrative.

• [00:11:00] IP Rights & Real-World Utility: S talks about exclusive Neiro licensing and monetization ideas like NFTs and pet food.

• [00:15:00] Meme Coins vs Political Tokens: Thoughts on TrumpCoin, Millennia, and the extractive nature of some meme trends.

• [00:20:00] Timing in Crypto: Why meme coin success (or failure) often depends on timing.

• [00:27:00] DeFi x Meme Coins: Can meme tokens integrate into lending, staking, and other financial products?
  

• [00:31:00] Dealing with Volatility: S shares mindset tips for surviving crypto market swings as a leader.

• [00:35:00] The Global Market Chaos: Thoughts on current macro uncertainty and political influence on the markets.

• [00:39:00] Final Ask: S encourages contributors to join Neiro’s mission—not just as investors, but as builders.

  
  

Connect

https://x.com/neiro

https://www.neiroeth.io/

https://t.me/ETHNEIROCTO

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Frank Cheng, founder of Apeiron and DoodiPals, joins Sam to unpack four years of building in Web3 gaming. From raising three funding rounds to building an entire gaming franchise, Frank shares practical lessons on tokenomics, community building, and how to retain real players. Learn why most Web3 games fail and how to fix them, what role AI will play, and why "fun" is the best utility of all.

Key Timestamps

• [00:00:00] Introduction: Sam introduces Frank Cheng from Apeiron and DoodiPals.

• [00:01:00] Frank’s Background: From private equity to gaming founder.

• [00:03:00] Fundraising Journey: Raising 3 rounds and migrating to Ronin.

• [00:05:00] Web3 vs. eSports: Monetization struggles and similarities.

• [00:09:00] Tokenomics: Apeiron’s dual-token model and real utility.

• [00:11:00] Mobile Strategy: Expansion across SEA and Latin America.

• [00:13:00] Retention: DAU strategies, off-season drops, and incentives.

• [00:15:00] Community: How Frank built lasting connections on Discord.

• [00:18:00] Duty Pals: The IP and content strategy behind the Apeiron universe.

• [00:20:00] Future Trends: Web3 onboarding friction and AI’s potential.

• [00:23:00] Generative AI: Challenges, copyright, and training game agents.

• [00:28:00] Roadmap 2025: Memes with fundamentals, new token layers.

• [00:30:00] Inspirations: What Axie Infinity and Big Time get right.

• [00:32:00] Evolving Tokenomics: Why vesting by usage beats time-based unlocks.

• [00:35:00] Founder Reflections: What Frank would do differently.

• [00:38:00] Final Ask: Looking for investors, talent, and community partners.
  

Connect

https://apeironnft.com/

https://x.com/ApeironNFT

https://www.doodipals.com/

https://x.com/DoodiPals

https://x.com/FrankTCheng

https://www.linkedin.com/in/franktcheng/
Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Yang Tang, co-founder of Memetica, joins Sam to dive deep into the world of AI agents — what they are, how they’re trained, and how they’re already generating value across Web2 and Web3. From his background in institutional finance and machine learning to launching BSD and Liam, Yang walks us through building intelligent, monetizable agents and why the future of AI is vertical-specific and application-first.

Key Timestamps

• [00:00:00] Introduction: Sam welcomes Yang Tang and introduces the topic of AI agents.

• [00:01:00] Yang’s Background: From Wall Street to machine learning to Web3.

• [00:03:00] Evolution of Trading: How everything became algorithmic post-2008.

• [00:05:00] Why AI Agents Now: LLMs aren't applications — agents are.

• [00:06:00] Core Features: Memetica’s pillars — memory, RL, and utility.

• [00:08:00] Competing with Giants: Why focus beats AGI and big capital.

• [00:10:00] Data Strategy: Why private data is useless without context.

• [00:12:00] Use Cases: Real-world agent examples like Liam and BSD.

• [00:14:00] Reinforcement Learning: How Liam evolved to boost impressions.

• [00:16:00] Tokens and Agents: The rise of BSD and market cap milestones.

• [00:18:00] Pricing and Ownership: Who owns the agent’s IP and revenue?

• [00:20:00] SME and Enterprise Use: From sports betting to social media ops.

• [00:23:00] Institutional AI Demand: Why application matters more than research.

• [00:25:00] Distribution Challenges: Why even strong products struggle to scale.

• [00:28:00] Time vs. Decision Value: Where AI agents can win right now.

• [00:30:00] Agent vs. Human: Running A/B tests with agents on social.

• [00:34:00] AI Misuse: The Trump chart story and hallucination risks.

• [00:36:00] Launching Tokens: What it takes to create tokenized agents.

• [00:38:00] Utility vs. Distraction: The token paradox for founders.

• [00:41:00] Building for SMEs: Future plans to support long-tail businesses.

• [00:44:00] Hiring and Scaling: What Memetica needs to grow.

• [00:46:00] Accuracy & Safeguards: How Memetica agents reach 95%+ accuracy.

• [00:47:00] Final Ask: Yang is raising, hiring, and looking to onboard more creators and partners.

Connect

https://memetica.ai/

https://x.com/memeticaAI

https://www.linkedin.com/company/qstarlabs/

https://x.com/yangtang

https://www.linkedin.com/in/yangtang/
Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Kevin from Layer 1X joins Sam Kamani to discuss how they’re building a quantum-resistant, bridgeless blockchain that enables secure cross-chain swaps, multi-chain token issuance, and zero-gas fee transactions.

Kevin also shares insights from his PhD in blockchain and quantum computing, and why he believes most of Web3 is unprepared for the quantum era. If you're building in DeFi, infrastructure, or cross-chain protocols, this one's a must-listen.

Key Timestamps

• [00:00:00] Introduction: Sam introduces Kevin and the episode’s focus on Layer 1X, quantum computing, interoperability, and cross-chain infrastructure.

• [00:01:00] Kevin’s Background: Kevin shares how he entered Web3 in 2019, built a rewards platform, and began exploring quantum and blockchain through a PhD.

• [00:03:00] What Layer 1X Does: Layer 1X aims to enable bridgeless interoperability, empower developers, and offer quantum-resistant infrastructure.

• [00:05:00] Quantum Threats to Blockchain: Kevin explains quantum threats to cryptography and how error correction in quantum computing could make current blockchains vulnerable.

• [00:07:00] Blockchain Upgrades for Quantum Safety: Can Bitcoin or Ethereum become quantum-resistant? Kevin shares thoughts on protocol-level upgrades.

• [00:11:00] Why Build a New L1?: Kevin explains why Layer 1X had to be its own L1 — to control cross-chain validation, optimize gas, and integrate quantum resistance from the start.

• [00:15:00] Beyond the Chain: Multi-Chain Rollups and Use Cases: A look at how Layer 1X enables multi-chain rollups, composability, and better use of underutilized chains.

• [00:17:30] Use Case - Gaming & Identity: Kevin shares examples of how game assets and user tokens can function across multiple chains with Layer 1X.

• [00:20:00] Liquidity Abstraction & DeFi Fragmentation: How Layer 1X is solving one of DeFi’s biggest problems — fragmented liquidity across chains.

• [00:24:00] Growth & Campaigns: Kevin discusses their successful “Swapathon” and upcoming campaign making cross-chain swaps gasless and free.

• [00:27:00] Revenue Model & Incentives: How Layer 1X is already generating revenue through cross-chain fees, NFTs, and tokenomics innovation.

• [00:30:00] Release Pool Model: An anti-dump mechanism allowing token distribution based on market demand and long-term health.

• [00:32:00] Web3 Blindspots: Kevin argues Web3 projects are too focused on token price and not enough on sustainable revenue or infrastructure.

• [00:35:00] Trends for 2025: More projects will go multichain, off-chain services will go on-chain, and awareness of quantum resistance will grow.

• [00:37:00] Funding & Next Steps: Layer 1X is raising $25M to scale adoption and expand its quantum-resilient protocol stack.

• [00:38:30] Closing: Sam recaps the value Layer 1X brings to the Web3 space and thanks Kevin for sharing his journey.

  
  

Connect

https://l1xapp.com/

https://l1xapp.com/l1x-foundation

https://www.linkedin.com/company/layer-one-x/

https://www.linkedin.com/in/thekevincoutinho/

https://x.com/LayerOneX

https://x.com/thekevcoutinho

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Can encryption make Ethereum more fair?

In this episode, I speak with Loring Harkness, the ecosystem lead at Shutter Network, about a crucial — and often ignored — issue: malicious MEV. Loring explains how MEV bots extract value from unsuspecting users through front-running and sandwich attacks — and how Shutter uses threshold encryption to stop it.

We talk about encrypted mempools, the recent whitepaper proposing encrypted mempools for Ethereum, and how commit-and-reveal encryption is already protecting DAOs, auctions, and bounties via Shutter’s API.

Loring also shares his journey from building financial inclusion tools in Myanmar to becoming a passionate advocate for privacy and credible neutrality in Web3.

Whether you're building a dApp, trading onchain, or want a fairer Ethereum — this episode is for you.

Key Timestamps

[00:00:00] Intro: Sam introduces Loring Harkness and the mission behind Shutter Network

[00:01:00] Origin Story: How a coup in Myanmar inspired Loring’s pivot from TradFi to Web3

[00:04:00] What is Shutter?: Commit-reveal threshold encryption explained

[00:06:00] Understanding MEV: How front-running and sandwich attacks work

[00:08:00] Shielded Trading: How Shutter encrypts transactions to blind MEV bots

[00:10:00] Integrations: Shielded trading on Gnosis and plans for Ethereum mainnet

[00:11:00] The Cost of MEV: Over $1.3B lost to MEV since 2020

[00:12:00] Ethereum Whitepaper: How Shutter’s proposal was received

[00:14:00] The Shutter API: Making commit-reveal encryption accessible to dApps

[00:16:00] Game Theory: Loring’s live demo using rock-paper-scissors

[00:20:00] Scaling Up: How Shutter supports many use cases and transactions

[00:23:00] Real-World Adoption: Shielded voting on Snapshot and Paddle Battle auctions

[00:25:00] The Real Threat: Why Ethereum must align with its own values

[00:27:00] Community Ask: Why users and developers must demand fairness

[00:29:00] Wrap-up: Links and next steps for integrating Shutter Network

Connect

https://www.shutter.network/

https://x.com/ShutterNetwork

https://x.com/LoringHarkness

https://www.linkedin.com/in/loringharkness/

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

How do you prove someone is human in the AI era?

In this episode, Sam Kamani speaks with Terence Kwok, the founder of Humanity Protocol — a decentralized identity blockchain now valued at over $1B. Terence shares how Humanity Protocol uses palm biometrics, ZK proofs, and partnerships with validators to establish proof of personhood, enable on-chain reputation, and prevent identity fraud.

We explore use cases ranging from education credentials and credit scoring to gaming identities and undercollateralized lending — plus how AI is blurring the lines between human and machine online. Terence also shares the story of how he went from building a travel tech unicorn to launching a global identity protocol out of Hong Kong.

If you're building in identity, AI, or Web3, this is one not to miss.

Key Timestamps

[00:00:00] Intro: Sam introduces Terence Kwok and Humanity Protocol's billion-dollar vision.

[00:02:00] Background: Terence shares how he pivoted from travel tech to Web3 identity.

[00:04:00] What is Humanity Protocol?: A blockchain for proof of personhood and credentials.

[00:07:00] Why Now?: The urgency of verifiable human identity in an AI-powered world.

[00:09:00] Privacy & Sovereignty: How Humanity Protocol keeps biometric data safe.

[00:13:00] Who Issues Credentials?: The role of validators and verifiers in the network.

[00:16:00] Business Model: How staking, revenue-sharing, and token incentives work.

[00:18:00] Beyond Network Effects: Use cases that work even with a small user base.

[00:23:00] zkTLS Innovation: Zero-knowledge proofs for Web2 credentials.

[00:26:00] On-Chain Credit: Proof of income and net worth for lending protocols.

[00:28:00] Human Signals: Uber ratings, Airbnb history, and anti-bot credentials.

[00:31:00] TPS vs Humanity: Why identity matters more than just scaling blockchains.

[00:34:00] The Path Forward: Permissioned transactions and smarter chains.

[00:36:00] Roadmap: App, mainnet, zkTLS, and biometric scanner rollouts.

[00:37:00] Final Ask: Bringing on more dApps, developers, and potential investors.

Connect

https://www.humanity.org/

https://www.linkedin.com/company/humanityprot/

https://x.com/Humanityprot/

https://t.me/HumanityProt

https://x.com/tk_humanity

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

In this episode of Web3 with Sam Kamani, Sam is joined by co-host Amanda Whitcroft to interview Hoansoo Lee, co-founder of Exabits.ai. With a PhD from Harvard and deep expertise in edge computing, Hoansoo shares how Exabits is decentralizing the GPU cloud for AI by combining high-performance chips like the H100 and Blackwell with tokenized infrastructure on Web3 rails.

They explore why AI compute is the "new energy," how Exabits differentiates from competitors like CoreWeave, and the opportunities for DeFi and structured finance in this emerging landscape. Hoansoo also discusses the limitations of decentralized compute, the challenges around AI experimentation, and how data, compute, and causality intersect in building next-gen AI.

Whether you're a founder building in AI, a researcher, or a curious investor, this episode is packed with deep insights into the future of decentralized compute and what’s next in the AI x Web3 convergence.

Key Timestamps

[00:00:00] Introduction: Sam introduces co-host Amanda and guest Hoansoo Lee from Exabits.ai.

[00:01:00] What is Exabits?: Hoansoo explains Exabits in one sentence—high-quality GPU compute for AI.

[00:02:00] Who Uses It: Discussing their customer base across Web2 and Web3.[00:03:00] Hardware Stack: Exabits runs 60,000+ GPUs including H100s and Blackwells.[00:04:00] Competitive Landscape: Why Exabits is different from other Web3 dePIN projects.

[00:05:00] Founding Story: How a background in edge computing led to building Exabits.

[00:06:00] Go-to-Market: Customer acquisition through partnerships, referrals, and conferences.

[00:07:00] Growth Opportunity: Why structured finance and GPU financialization is the next big thing.

[00:08:00] AI Efficiency vs. Demand: DeepSeek, scaling laws, and the compute boom.

[00:10:00] Energy + Compute: AI’s demand for energy and its parallels to historical tech trends.

[00:11:00] Decentralized Compute: Limitations of latency-sensitive decentralized AI infrastructure.

[00:13:00] AI = Bitcoin Mining 2.0: The evolution from minting Bitcoin to minting intelligence.

[00:14:00] Pillars of AI: From compute/data/models to experimentation and causal inference.

[00:17:00] AI Limits: Why synthetic data can't replace real-world experimentation.

[00:18:00] Scarcity & Innovation: How chip scarcity could spark further innovation.

[00:20:00] In-House Servers: Why building H200 racks in-house is a differentiator.

[00:21:00] How It Works: A user’s experience on Exabits from login to compute access.

[00:23:00] Founder Advice: Hoansoo’s take on building something with real customers and solid fundamentals

[00:24:00] Roadmap: Data center expansion, orchestration features, and governance via staking.

[00:25:00] TGE Ahead: Exabits’ upcoming token generation event and next steps.

Connect

https://www.exabits.ai/

https://www.linkedin.com/company/exabitsai/

https://x.com/exa_bits

https://www.linkedin.com/in/hoansoo-lee-21586b9/

https://www.linkedin.com/in/amanda-whitcroft-324879164/

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

In this episode, Brayden Doig from Abyss joins Sam Kamani to discuss his innovative trading card game powered by AI. He shares how Abyss is merging AI with storytelling to create unique, one-of-one NFTs that evolve through user choices. Brayden also dives into his involvement with the Taste Foundation and how AI can transform the entertainment landscape.

He talks about his artistic journey and how artists should embrace AI technology while preserving their craft. Plus, he gives valuable advice for Web3 gaming founders navigating the post-2022 downturn. If you're interested in gaming, art, NFTs, and AI, this episode is a must-listen!

Key Timestamps

[00:00:00] Introduction: Sam introduces Brayden and previews the topics of AI, art, NFTs, and gaming.

[00:02:00] Abyss Overview: Brayden explains how Abyss is a one-of-one AI-powered trading card game.

[00:03:30] How It Works: Soul-bound NFTs, player choices, and AI-generated cards.

[00:06:00] Art Style: How Brayden trained AI on his own digital artwork for Abyss.

[00:08:30] AI + Artists: Brayden discusses how artists can use AI without losing ownership or identity.

[00:10:00] Protecting Artists: Smart contracts, zk proofs, and Taste’s focus on ethical AI.

[00:12:00] AI as a Creative Partner: How AI enhances creativity instead of replacing it.

[00:15:00] Embracing Change: What past tech shifts can teach us about adopting AI today.

[00:16:30] Abyss Roadmap: Phases, data collection, and long-term gameplay powered by AI.

[00:20:30] White-Labelling the Platform: The broader vision for creative industries.

[00:21:00] AI Agents in Gaming: Will autonomous agents soon play alongside human characters?

[00:24:00] Collecting Metadata: Why choices matter in building future gameplay.

[00:27:30] Advice to Web3 Creators: Tenacity, creativity, and finding the right people.

[00:30:00] Enemies Mean Progress: What gaming teaches us about startup adversity.

[00:32:00] The Ask: Taste Foundation is closing their seed round and seeking artists & IP holders.

Connect

https://abyss.cards/

https://x.com/abysscards

https://x.com/froyd_art

https://www.linkedin.com/in/brayden-doig/

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/