Web3 with Sam Kamani

Sam Kamani
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"Web 3.0 with Sam Kamani" is all about Web 3 and how it is going to change the world. If you are interested in learning more about the 4th Industrial revolution then this podcast is for you. Web 3.0 or Web 3 is often hailed as the technology that will usher in the 4th industrial revolution. This revolution is going to affect every industry, business, government and person on this planet. Web 3.0 is a collection of technologies that are going to change how we collaborate with each other and interact with our environment. Let's uncover the opportunities and risks of the new version of Web.

  1. 286: idea-L’s AI + Web3 Platform to Take Startups from Idea to Funding

    6 GIỜ TRƯỚC

    286: idea-L’s AI + Web3 Platform to Take Startups from Idea to Funding

    Daniel Mueller from idea-L joins Sam to discuss how their AI + Web3 platform helps founders go from idea to live company. He explains how idea-L acts as a “co-founder in your pocket,” validates ideas with feasibility scoring, provides funding through a decentralized VC model, and helps prevent founder burnout. Daniel also shares insights on Web3 trends, AI’s overlooked potential, and bad startup advice to avoid. Key Timestamps [00:00] Intro: Helping founders validate ideas & grow from zero to one. [00:02] Daniel’s background: AI research in Singapore, Web3 connections with SingularityNET. [00:03] idea-L’s mission: overcoming systemic, financial, and psychological barriers for founders. [00:05] The scale of the problem: billions of unrealized ideas, 100M startups attempted yearly. [00:06] AI Co-Founder: personalized support, Duolingo-style roadmaps, nudging actions. [00:07] idea-L Tinder: gamified idea validation + community leaderboards. [00:09] Funding: democratizing VC, tokenized LP/GP units, DAO governance. [00:13] Preventing burnout: support via reinforcement, psychology, and NLP. [00:15] Investment scope: only backing companies through Idea-L’s platform at pre-seed/seed. [00:16] Web3 trends: regulation, stablecoins, internet capital markets, treasury companies. [00:20] AI insights: moving beyond LLMs into reasoning, probabilistic programming & evolutionary learning. [00:23] Bad startup advice: myths about needing a co-founder, quitting your job, or fully polished ideas. [00:25] Roadmap: building the realization platform, funding platform, governance token, case studies. [00:27] Ask: founders, investors, and overlooked regions to join the mission. Connect https://www.idea-l.com/ https://www.linkedin.com/company/idea-L/ https://x.com/idea___L https://www.linkedin.com/in/daniel-muller-sg-cfo/ 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/

    29 phút
  2. 285: Marc from Algorand — Roadmap, Mainstream Adoption & AI Integration

    2 NGÀY TRƯỚC

    285: Marc from Algorand — Roadmap, Mainstream Adoption & AI Integration

    Marc from Algorand joins Sam to unpack their 2025 roadmap, the push for mainstream adoption, and lessons he brings from his time at Google and Android. He explains Algorand’s unique developer-friendly features, its work on quantum security, and how AI integration will accelerate the next wave of blockchain applications. Key Timestamps [00:00] Intro & Marc’s journey: from Google/Android to Algorand. [00:03] The trilemma solved? Algorand’s verifiable random functions & instant finality. [00:04] Six years of uptime: reliability & scaling to real-world use cases. [00:05] The 4-pillar roadmap: values, mainstream adoption, tokenization/identity, research. [00:07] Competing with other L1s/L2s: reliability + dev-friendly built-ins. [00:09] Mainstream adoption: UX challenges, wallets, seed recovery, gas abstraction. [00:12] Balancing simplicity with self-custody & decentralization. [00:14] Algorand’s “North Star” metrics for adoption & growth. [00:15] Marketing that worked: “Can a Blockchain Do That?” campaign. [00:16] AI integration: Algorand 4.0, hackathons, LLM training, agents & payments. [00:20] If Marc could remove one thing from blockchain culture → rugging. [00:21] Lessons from Google: user-first, rapid iteration, shipping daily. [00:23] Respect in Web3: why Circle stands out. [00:24] Misconceptions: people underestimate Algorand’s DeFi UX. [00:25] Quantum security: state proofs, Falcon signatures, securing the ledger. [00:28] Roadmap execution: xGov community governance + ecosystem collaboration. [00:31] Hackathons, grants, accelerator/incubator funnel for startups. [00:33] Big ecosystem event: Decipher planned for 2025. Connect https://algorand.co/ https://www.linkedin.com/company/algorandfoundation/ https://x.com/AlgoFoundation https://www.linkedin.com/in/marcvl/ 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/

    34 phút
  3. 284: Linea, Consensys & The Largest Ecosystem Fund in Ethereum

    4 NGÀY TRƯỚC

    284: Linea, Consensys & The Largest Ecosystem Fund in Ethereum

    Declan Fox from Consensys joins Sam to discuss Linea — Ethereum’s zkEVM rollup with the largest ecosystem fund in Web3. He shares his journey from private blockchains to launching Linea, the chain’s unique tokenomics, native yield, and burn mechanism, and why distribution (not just tech) will define the winners in the L2 race. Key Timestamps [00:00] Declan’s journey from driverless cars → private chains → Consensys & Linea. [00:04] Linea’s mission: gateway to Ethereum for users, institutions & capital. [00:06] Differentiation in L2 wars: distribution > just faster/cheaper tech. [00:08] Ecosystem fund: 75% of supply for builders, LPs, open-source software. [00:10] Tokenomics: burn mechanism — 20% ETH, 80% Linea token. [00:11] Ether X: new institutional-grade DEX on Linea solving the DEX trilemma. [00:12] Next narratives: tokenized equities, institutional DeFi, payments. [00:14] Key challenge: regulation & Ethereum’s global perception vs. other L1s. [00:17] Lessons learned: focus on UX, partner selection, community building. [00:21] Roadmap: native yield (staking ETH bridged to Linea) + burn live Q3. [00:25] Great consolidation of L2s — few winners, many sunset chains. [00:27] Ask: Builders, institutions, and funds to join Linea’s ecosystem. Connect https://consensys.io/ https://www.linkedin.com/company/polygonlabs/ https://www.linkedin.com/in/declan-fox-b743869b/ https://x.com/LineaBuild https://x.com/DeclanFox14 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/

    30 phút
  4. 283: Powering Ethical AI with Web3 — D-GN’s Decentralized Data Network

    15 THG 8

    283: Powering Ethical AI with Web3 — D-GN’s Decentralized Data Network

    Description Richard and Johanna from Data Guardians Network (D-GN) join Sam to discuss building a decentralized data infrastructure for AI training. They explain how D-GN turns human input into high-quality, traceable datasets, pays contributors in stablecoins, and solves the cost, quality, and bias problems plaguing AI. They also dive into scaling challenges, community building, and the future of AI + Web3. Key Timestamps [00:00] Intro & founders’ journeys into Web3 + AI. [00:03] What D-GN is: decentralized, ethical AI training data. [00:04] The gap: expensive, slow, low-quality AI data pipelines. [00:06] Why stablecoins (USDT) over a volatile native token. [00:10] Diversity of contributors = less bias in AI models. [00:12] Customer base: enterprises, gov contracts, customizable datasets. [00:14] Guarding against synthetic data contamination. [00:17] Real-world missions: localizing driverless car data. [00:20] Risk: scaling into new industries fast enough. [00:22] North Star: contributors annotating data; goal of 1M+ by year-end. [00:26] Moat: network, enterprise pipeline, gamified contributor system. [00:28] Predictions: AI + blockchain integration will explode. [00:31] Overhyped trends: meme coins, GambleFi, early-stage hype cycles. [00:33] Quantum computing will reshape the industry. [00:38] Asks: partners aligned on vision, top talent hires, industry expansion. Connect https://www.dataguardians.network/ https://www.linkedin.com/company/data-guardians-network/ https://www.linkedin.com/in/johanna-cabildo-1217b4113/ https://www.linkedin.com/in/richardjohnson10/ 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/

    41 phút
  5. 282: How Spheron is Powering the Next Generation of AI + Web3 Infrastructure282: How Spheron is Powering the Next Generation of AI + Web3 Infrastructure

    14 THG 8

    282: How Spheron is Powering the Next Generation of AI + Web3 Infrastructure282: How Spheron is Powering the Next Generation of AI + Web3 Infrastructure

    Prashant from Spheron Network joins Sam to discuss building a decentralized compute marketplace at the intersection of AI and Web3. He explains Spheron’s demand-driven model, why compute is the next scarce digital commodity, and how microtransactions will power AI agents. They also cover DePIN challenges, token economics, and Spheron’s global growth strategy. Key Timestamps [00:00] Prashant’s journey from software dev to crypto via curiosity. [00:04] Spheron’s pivot to decentralized compute; lessons from early infra missteps. [00:06] Demand > supply — compute as the real scarce commodity in AI era. [00:07] Clients: devs & communities spinning up nodes in 3 clicks. [00:10] Why microtransactions struggled — and why AI will revive them. [00:16] Spheron’s role in enabling AI agent-to-agent compute payments. [00:18] Business traction: $15M/year revenue; enterprise & Asia expansion. [00:20] Ecosystem products (SuperNodes, Clippy, Skynet) driving internal demand. [00:22] AI agent use cases Prashant is most bullish on (research, sales, daily digests). [00:24] DePIN reality check — why most projects fail to sustain. [00:28] Why Spheron needs a token (Spawn) instead of just stablecoins. [00:31] Bold prediction for 2026: Crypto as the backbone for AI & global trade. [00:33] What’s next: staking, enterprise AI arm, retail network expansion, founder partnerships. Connect https://www.spheron.network/ https://www.linkedin.com/company/spheron/ https://x.com/spheronfdn https://www.linkedin.com/in/techprashantmaurya/ https://x.com/prashant_xyz 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/

    36 phút
  6. 281: Supercharging DEXs — How Orbs Adds CeFi-Level Functionality to DeFi, with Ran Hammer

    12 THG 8

    281: Supercharging DEXs — How Orbs Adds CeFi-Level Functionality to DeFi, with Ran Hammer

    Ran Hammer from Orbs joins Sam to break down how Layer 3 can give DeFi the same advanced execution tools as CeFi. He explains Orbs’ role powering advanced orders, liquidity aggregation, and intent-based perpetuals for major DEXs — plus his take on the biggest problems in DeFi today and where Orbs is going next. Key Timestamps [00:00:00] Intro & Ran’s journey from tech lawyer to Orbs’ business lead. [00:03:00] What “Layer 3” means: functionality beyond L1/L2 scaling. [00:05:00] Liquidity Hub: solving fragmented liquidity for DEXs. [00:09:00] Perpetual Hub Ultra: intent-based on-chain Perps with high leverage. [00:11:00] DTwap Protocol: advanced order types (Twap, DCA, limits) for DEXs. [00:13:00] Orbs’ Delegated Proof-of-Stake network & execution design. [00:16:00] Biggest DeFi problem: fragmentation & poor UX. [00:18:00] Scaling challenge: expanding beyond DEXs. [00:21:00] View on aggregators, HyperLiquid, and new ecosystems. [00:28:00] What’s next: stop-loss/take-profit orders, Perps expansion, chain upgrades, governance decentralization. [00:29:00] Partnerships, hiring, and upcoming events. Connect https://www.orbs.com/ https://t.me/OrbsNetwork https://x.com/orbs_network https://x.com/hammer86r 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/

    33 phút
  7. 280: Hollywood on the Blockchain — Riaz Mehta’s Vision for Creator-Led Media with Ritestream

    8 THG 8

    280: Hollywood on the Blockchain — Riaz Mehta’s Vision for Creator-Led Media with Ritestream

    Riaz Mehta, founder of Ritestream, joins Sam to talk about disrupting Netflix with a decentralized, fan-funded streaming platform. He explains how Ritestream empowers creators, shares revenue with viewers, and uses NFTs and tokens to bring transparency to film financing — plus the role AI will play in reshaping media. Key Timestamps [00:00:00] Intro: Riaz Mehta shares how Ritestream is reinventing film funding and streaming [00:02:00] Journey into Web3: From early Bitcoin exposure to a Vitalik meetup in 2017 [00:04:00] Why Ritestream: Solving funding gaps and ownership problems in media [00:06:00] Fan-Powered Entertainment: Letting users co-fund and benefit from movie success [00:08:00] Web3 vs Web2: Transparency, on-chain revenue, and smart contracts as game changers [00:12:00] Business Model: Launchpad fees, ad-driven revenue sharing, and token buybacks [00:17:00] Content Trends: Action, comedy, and crypto-native audiences on Ritestream Plus [00:19:00] Decentralized Curation: DAOs will decide what gets made and what gets streamed [00:20:00] Industry Blindspots: Why Hollywood still doesn’t get Web3 [00:24:00] UX Matters: Reducing friction for viewers while rewarding those who opt in [00:25:00] Kryptonite TV: Web3’s Shark Tank, funded and launched on Ritestream [00:27:00] Founder Advice: Focus on real value, ignore noise, and understand timing [00:30:00] AI’s Impact: Lowering production costs, generating talent, and transforming workflows [00:31:00] Value Accrual: Future of media lies in distribution and on-chain data ownership [00:32:00] Final Ask: Community participation, fundraising, and checking out Kryptonite TV Connect https://www.ritestream.io/ https://x.com/ritestream_io https://www.linkedin.com/company/ritestream/ https://www.linkedin.com/in/riaz-mehta/ 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/

    34 phút
  8. 279: Crypto VC Advice You Need — Laura on Web2 to Web3, Stablecoin Infra & Founder Fit

    7 THG 8

    279: Crypto VC Advice You Need — Laura on Web2 to Web3, Stablecoin Infra & Founder Fit

    Laura from Gate Ventures joins Sam to share what founders need to succeed in today's crypto VC landscape. She discusses her investing journey, current thesis (stablecoins, RWAs, DeSci, and robotics), key founder traits, and how to pitch VCs the right way. Key Timestamps [00:00:00] Intro: Sam introduces Laura and her dual role at Gate Ventures and Gate.com. [00:03:00] Laura's Journey: From college Bitcoin curiosity to ICO marketing to angel investor and VC. [00:05:00] Gate Ventures Thesis: Revenue-focused, early-stage projects in RWA, stablecoins, and payments. [00:08:00] Market Trends: Why institutions are focused on yield-bearing products this cycle. [00:11:00] Founder Support: How Gate Ventures helps with intros, distribution, VCs, KOLs, and exchange access. [00:13:00] What Great Founders Have: Traits like domain expertise, hustle, clarity, traction, and storytelling. [00:19:00] Killer Use Case Prediction: Web2 → Web3 onboarding through better UX, clear value, and incentives. [00:23:00] How to Pitch Gate: Laura’s ideal pitch format for early-stage founders. [00:26:00] Overrated & Underrated: AI agents are overhyped. Forensics, defense, and DeSci are underexplored. [00:30:00] What’s Next for Gate: More global deal flow, deeper university engagement, and earlier-stage bets. Connect https://www.gate.com/ https://x.com/gate_io https://www.linkedin.com/in/laurakornelija/ https://x.com/laura_gateio 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/

    32 phút
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Giới Thiệu

"Web 3.0 with Sam Kamani" is all about Web 3 and how it is going to change the world. If you are interested in learning more about the 4th Industrial revolution then this podcast is for you. Web 3.0 or Web 3 is often hailed as the technology that will usher in the 4th industrial revolution. This revolution is going to affect every industry, business, government and person on this planet. Web 3.0 is a collection of technologies that are going to change how we collaborate with each other and interact with our environment. Let's uncover the opportunities and risks of the new version of Web.

Thông Tin

  • Nhà sáng tạo
    Sam Kamani
  • Năm hoạt động
    2021 - 2025
  • Tập
    288
  • Xếp hạng
    Sạch
  • Bản quyền
    © Sam Kamani
  • Trang web chương trình
    Web3 with Sam Kamani