Web3 with Sam Kamani

EPISODE DESCRIPTION 
I sat down with Andrey Didovskiy, co-founder of Seasons Protocol, to break down how they are delivering sustainable yields of 24-30% APY paid out in Bitcoin, tokenized gold, and stablecoins , twice a week, directly to your wallet. No staking, no lockups, no complexity. Andrey walks me through the three-part yield generation engine behind Seasons: the Vaults, the Transactional Transfer Tax, and the Stablecoin Module , and explains how their on-chain orchestration system distributes real yield at near-zero cost. We also dig into why they built on Solana, who their users are today, where they are seeing traction across Europe, and what the road ahead looks like as they move toward agentic finance infrastructure. If you have ever been frustrated by price dependency in crypto and want to understand how on-chain cash flow actually works, this episode is for you. 
DISCLAIMER
Nothing mentioned in this podcast is investment advice and please do your own research. 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/
 CONNECT 
Seasons Website: https://seasons.wtf/
Seasons Twitter/X: https://x.com/SeasonsDEFI
Andrey LinkedIn: https://www.linkedin.com/in/andreydidovskiy/
Web3 with Sam Kamani: https://www.web3pod.xyz/
 KEY POINTS WITH TIMESTAMPS 
• [00:00] Sam introduces Andrey Didovskiy from Seasons Protocol and the episode focus on real on-chain yield
• [00:48] Andrey shares his journey from early Bitcoin exposure in 2014 to writing ICO white papers during the 2017 boom
• [02:22] How Andrey became a top Bitcoin ATM distributor and moved into CEO and COO roles before founding Seasons
• [03:20] The core problem Seasons solves: eliminating price dependency through on-chain cash flow
• [05:12] How Seasons achieves 24-30% APY and what assets users are paid in (Bitcoin, tokenized gold, JLUSDC)
• [05:35] Deep dive into the three-part Yield3 mechanism: Vaults, Transactional Transfer Tax (TTT), and the Stablecoin Module (SSYM)
• [07:09] How the Vaults work using delta-neutral Bitcoin strategies and tokenized gold liquidity provision
• [08:29] How the TTT works as a 10% transfer fee that feeds directly back into the yield engine
• [09:42] How the SSYM holds queued assets in stablecoins and compounds yield during distribution
• [10:16] How users receive yield: directly to their wallet twice a week, Sundays and Wednesdays
• [12:20] The on-chain distribution innovation Seasons built that is 99% cheaper than existing solutions
• [13:12] Why Andrey chose to build on Solana and what gives him conviction in the chain long-term
• [14:44] Current user base: mostly private individuals in Europe, with institutional conversations beginning
• [17:00] Why Seasons is focused on Europe and what makes that market uniquely positioned for crypto adoption
• [18:38] How to get started with Seasons: buy on any DEX, hold 1,000-10,000 tokens, become a node automatically
• [20:03] Biggest current challenge: finding and retaining the right people and team members
• [21:38] How trust and consistency over time is the foundation of scaling a yield protocol
• [22:44] Andrey's view on the next 12 months in crypto: maturity, tokenization, and the shift to invisible infrastructure
• [24:41] Discussion on capital flows from crypto to AI and whether that interest returns
• [28:10] What is next for Seasons in the next 6-12 months: protocol sprint, commercial API, and enterprise cashback tools
• [29:55] Andrey's biggest asks: talented people, smart capital, and quality technical and marketing partners

EPISODE DESCRIPTION 
I sat down with Alexis from Yellow aboard their sailing catamaran SV Yellow in Singapore, right in the middle of Formula One weekend. We got into something I think is genuinely underappreciated right now: the shift from human and algorithmic trading to AI agent-driven trading. Yellow has built what they call a trading OS , market making infrastructure, a decentralized liquidity hub, and an MCP connector that gives AI agents like Claude or Gemini actual hands to execute trades. We also went deep on prediction markets, why liquidity is the missing piece most founders overlook, and the brutal reality of launching a token today when everyone from exchanges to market makers is trying to extract value from your project. Alexis shared some really practical advice for founders on how to survive your TGE and grow slowly and organically , and why Yellow even refunded $8 million to their VCs to avoid that sell pressure. 
DISCLAIMER
Nothing mentioned in this podcast is investment advice and please do your own research. 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/
 CONNECT 
Yellow Website: https://yellow.com/
Yellow Twitter/X: https://x.com/YellowMedia_HQ
Yellow LinkedIn: https://www.linkedin.com/company/yellow-com/home/
Alexis LinkedIn: https://www.linkedin.com/in/sirkia/
Web3 with Sam Kamani: https://www.web3pod.xyz/
 KEY POINTS WITH TIMESTAMPS 
• [02:04] Welcome and setting the scene aboard SV Yellow in Singapore during Formula One weekend
• [09:05] How Yellow has evolved from crypto trading infrastructure into AI agentic trading over the last year and a half
• [10:40] Yellow launches its MCP connector at yellow.pro, enabling AI agents to execute trades directly from a chat interface
• [12:20] Market making remains Yellow's core revenue driver and now feeds liquidity into pools that agents can tap
• [14:35] A banker described Yellow as an operating system for agentic trading , market making, infrastructure, and the MCP connector all in one
• [17:20] Yellow builds Santos, a new trading engine built from scratch to handle prediction markets, RWA, and tokenized stocks
• [18:30] The fragmented liquidity problem in prediction markets and how Yellow is unifying liquidity across venues
• [21:20] Advice for prediction market founders: liquidity is the hardest and most overlooked piece
• [29:00] Yellow is in talks with major LLM providers to integrate the MCP connector directly into their platforms
• [32:30] MCP connectors explained simply: they give hands to your AI model so it can act, not just advise
• [36:20] The crypto industry has become highly professionalized at extracting value from new token projects
• [40:00] Exchanges, market makers, and VCs are all incentivized to dump on your project early , founders need to be prepared
• [44:30] Practical tips for founders: match community size to token supply, avoid simultaneous listings, and don't gift too many tokens without a buying strategy
• [46:50] Exchanges will still list you 6 or 12 months after TGE if your project is solid , don't rush
• [49:05] Hyperliquid is the gold standard: one year of traction, no VCs, strong community before token launch
• [52:15] Yellow refunded $8 million to VCs to remove sell pressure and let the project grow organically

EPISODE DESCRIPTION 
I sat down with John from RealFi live at Token2049 to dig into why most stablecoins are just quietly subsidizing US government debt , and what a truly productive stablecoin looks like. John breaks down how USDR works, why they do their own credit origination instead of just allocating to funds, and how they're targeting 12% yield by rotating into private fintech credit. We also get into the Ethena playbook, the real challenges of scaling a credit book on-chain, AI-powered smart contract audits, and why the RWA narrative is finally moving from talk to reality. This is a genuinely different conversation about stablecoins , one grounded in real lending, real underwriting, and real economic impact. 
DISCLAIMER
Nothing mentioned in this podcast is investment advice and please do your own research. 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/
 CONNECT 
RealFi Website: https://realfi.co/
RealFi Twitter/X: https://x.com/realfi_co
Web3 with Sam Kamani: https://www.web3pod.xyz/
 KEY POINTS WITH TIMESTAMPS 
• [00:00] Most stablecoins are essentially subsidizing US Treasury borrowing , RealFi is building something different
• [01:22] Interview recorded live at Token2049 with John from RealFi
• [01:59] RealFi launched mainnet on Cardano three days before recording, with Ethereum launch coming in three weeks
• [02:44] USDR is designed as a productive stablecoin , passing yield from a mixed portfolio of T-bills, CLO ETFs, and private fintech credit
• [04:28] Euro-denominated stablecoins are starting to emerge as real-world use cases like remittances grow
• [07:37] USDR currently yields 9%, with a projected move to 12% as the portfolio rotates into more private credit
• [08:27] John highlights Ethena as the gold standard , a simple, scalable market-neutral funding rate trade with world-class operations
• [10:47] RealFi's portfolio construction: T-bills for liquidity, CLO ETFs, and proprietary fintech credit origination with a one-week cooldown on staking
• [12:36] Alpha decay is less of a concern in credit markets than in capacity-constrained hedge fund strategies
• [13:55] Macro outlook: John is watching US midterms closely before making strong calls; sees opportunity in well-placed fintech credit
• [18:40] AI frontier models are changing smart contract security , audits are no longer one-and-done but a continuous monthly process
• [20:38] RWA narrative is finally moving from eight years of conversation to actual on-chain reality
• [24:19] USDR is live on Cardano now; Ethereum launch imminent , listeners can join the Discord and follow along

EPISODE DESCRIPTION 
I sat down live at Token 2049 in Singapore with Kha Nguyen, co-founder of BirdEye, the data infrastructure quietly powering over 5,000 crypto projects worldwide. If you've ever traded on Jupiter or Raydium, or checked your wallet balance on Solana, there's a good chance you've already seen BirdEye's data without knowing it. In this episode, Kha breaks down the enormous engineering challenge of tracking over 400 DEXs in real time, cleaning and reconciling conflicting data across chains, and keeping costs under control as AI companies drive up the price of servers and infrastructure. We also dig into how BirdEye went from zero to powering the biggest wallets and DEXs in crypto, and what's coming next , including an institutional-grade terminal built to serve banks, funds, and family offices entering the space. 
DISCLAIMER
Nothing mentioned in this podcast is investment advice and please do your own research. 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/
 CONNECT 
BirdEye Website: https://birdeye.so/
Kha LinkedIn: https://www.linkedin.com/in/nguyenthekha/?locale=en
Web 3 Podcast: https://www.web3pod.xyz/
 KEY POINTS WITH TIMESTAMPS 
• [0:00] BirdEye tracks over 400 DEXs and supplies data to 5,000+ projects worldwide
• [1:15] Recorded live at Token 2049 in Singapore
• [1:54] The origin story: Kha built BirdEye five years ago to give traders a bird's-eye view of the whole market
• [2:37] The core engineering challenge: reconciling conflicting real-time data from hundreds of DEXs
• [3:24] Solana and other chains are getting faster, meaning more data to process every day
• [4:46] AI infrastructure demand is driving up server and chip costs, squeezing data providers
• [5:47] Millions of users interact with BirdEye data daily without knowing it , through wallets, DEXs, and analytics tools
• [7:05] Monetization is subscription-based, charging per API request
• [7:34] An institutional terminal , think Bloomberg for crypto , is coming soon after over a year of development
• [9:48] BirdEye's early growth came from pushing the idea that DEXs and wallets needed richer data like candle charts, holder info, and security signals
• [11:49] Kha's network from his time at SolScan helped BirdEye land its first clients
• [12:14] Early go-to-market strategy: give the API away for free to get feedback and build adoption
• [13:21] Biggest future risk: crypto market cycles are hard to predict and directly impact data consumption
• [14:34] Next 12 months focus: launching the institutional dashboard and partnering with top banks, funds, and family offices
• [16:15] Kha's biggest admirations go to layer one teams at Solana, Ethereum, Arbitrum, and Monad
• [18:04] BirdEye is actively seeking institutional partners to shape their upcoming product

EPISODE DESCRIPTION 
I sat down with Justin from VEST at Token 2049 in Singapore to dig into why retail trading has been broken for so long , and what they're doing to fix it. Justin comes from a high-frequency trading background and co-founded VEST to bring perpetual futures, one of crypto's most elegant trading tools, to everyday retail traders worldwide. We talk about why CFDs and options are structurally stacked against you, how VEST's prop firm model gets one in three traders a payout versus the industry average of around 5%, and why Justin believes retail adoption , not institutions , will drive perpetual futures into the mainstream. VEST has grown from 1,000 to 27,000 weekly active traders in just three weeks and is processing a minimum of $5 billion in daily volume. This is a conversation packed with raw insight on product design, founder mindset, and where leveraged trading is actually heading. 
DISCLAIMER
Nothing mentioned in this podcast is investment advice and please do your own research. 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/
 CONNECT 
VEST Website: https://www.vestmarkets.com/
VEST Twitter/X: https://x.com/vestexchange
VEST LinkedIn: https://www.linkedin.com/company/vestlabs/home/
Justin LinkedIn: https://www.linkedin.com/in/ma-justin/
Web3 with Sam Kamani: https://www.web3pod.xyz/
 KEY POINTS WITH TIMESTAMPS 
• [00:00] Justin explains why CFDs are B-book and structurally work against the retail trader
• [02:14] Why perpetual futures are more intuitive and interest-aligned than options or CFDs
• [05:12] VEST's explosive growth: from 1,000 to 27,000 weekly active traders in three weeks
• [08:38] How VEST's prop firm model works , pay ~$210 to trade up to $25k in capital
• [09:30] VEST's two simple rules: hit your profit target without hitting your loss limit
• [11:23] 33% of VEST traders receive a payout vs. 4–6% at traditional prop firms
• [15:20] VEST is backed by Jane Street executives, BlackRock, Susquehanna, and KQL , but stays focused on retail
• [17:56] The biggest challenge: educating 27,000 traders on how perpetual futures differ from traditional futures
• [22:03] What Justin would do differently: build the bridge to what traders want today, not just the end vision
• [25:24] Justin's contrarian view: retail adoption will drive perpetual futures mainstream , institutions will follow, not lead
• [27:56] What's next: improving the desktop experience and launching a seamless mobile trading app