Web3 with Sam Kamani

• 296: Runwago — Get Paid to Hit Your Running Goals Sustainably

  Runwago wants to make running pay—without ponzinomics. Founder Martin explains how their SportsFi app lets everyday runners monetize realistic goals using a transparent “challenge pool” model: everyone joins a challenge, finishers get 100% of their stake back plus rewards funded by those who don’t finish. No shoe NFTs, no inflationary reward token.Timestamps[00:00] Opening & why SportsFi still matters[00:03] Martin’s crypto OG journey (since 2012)[00:05] The problem: 300M daily runners, almost zero monetization[00:08] The model: pooled challenges; finishers earn from non-finishers[00:11] Devices & anti-cheat: Garmin/Apple/WearOS integrations[00:16] App Store realities: compliance, custody, reviews[00:19] Tokenomics done differently (RUNWAGO ≠ reward token)[00:22] Fiat challenges, company revenue, future revenue-share to holders[00:25] GTM: Puma tie-ins, offline activations, club strategy[00:29] Community > celebrities; micro-KOLs and run clubs[00:36] What they’re hiring/raising/partnering for next[00:39] How to try the app + meet at Token2049Connecthttps://www.runwago.com/https://x.com/runwagohttps://www.linkedin.com/in/martin-lepka-12b51120b/DisclaimerNothing 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/

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• 295: Futr.network — AI Agents That Pay You for Your Data

  Alex (ex-BMO investment banker turned founder) shares how Futr.network is flipping the ad/data model with AI agents that pay you for training them. We dig into why the Web2 barter economy (free services for your data) is collapsing, how zero-party data and a data supply chain can route value back to consumers and data contributors (think: mortgage brokers, lenders), and why agentic advertising will disrupt Google/Meta style targeting.Timestamps[00:00] “Time for a new data model” — agents that pay you for training data [00:01] Alex’s path: BMO (M&A → FIG → Digital Assets), fund, stables, now AI agents [00:03] What’s broken: Web2 barter system, cookies/pixels, hidden training sets [00:05] Futr.network: self-sovereign AI agent + incentives for data contributors [00:06] Mortgage example: underwriting pack → agent training → recurring royalties [00:09] Why prior “get paid for your data” failed; why now works (AI agents = $$) [00:15] KPIs: users, dollars on rails, brand demand for zero-party data[00:16] Beachhead: auto loans (optimize payments, save interest, set-and-forget) [00:18] Rails: bank links, credit/debit, embedded wallet, stablecoin payments [00:19] Next verticals: mortgages, student loans; beyond finance → life data [00:21] What most miss about AI: it ran Web2 behind the scenes for years [00:24] High-fidelity AI: no hallucinations when money moves; enterprise-grade stacks [00:28] AI × crypto: machine-speed decisions need machine-speed value settlement [00:30] Data supply chain (like music royalties) via blockchain micropayments [00:32] The disruption: agentic advertising eats digital ads in 3–5 years [00:33] The ask: brands & enterprises; network effects; just raised $5.1M; more to come [00:37] Beta access coming; train your agent, earn tokensConnecthttps://futrnetwork.com/https://www.linkedin.com/company/thefutrcorporation/https://www.linkedin.com/in/alex-mcdougall-290b0b39/DisclaimerNothing 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/

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• 294: Intuition Systems — Trust, Attestations & AI’s Garbage-In Problem

  Billy, founder of Intuition Systems (ex–VC/early crypto), digs into the biggest risk in AI: models trained on garbage, regurgitated data and algorithm-shaped behavior. We unpack how attestations, signed data, and web-of-trust reputation can give both humans and AI better intuition at decision time — from picking a chair to routing agentic AI across platforms.Timestamps[00:00] We’re being shaped by algorithms; slop-in → slop-out AI [00:02] Billy’s path: distributed systems, fintech, game bots, early Bitcoin [00:05] The problem: fragmented info (web + people’s heads) & costly context-switching [00:06] What Intuition is: structured expression + rediscovery + rewards [00:08] Attestations & incentives (economic + reputational) without spam [00:12] Can bots game it? Bonding curves, loss for bad signal, web-of-trust filters [00:18] Best content should win: TikTok-style merit + trust primitives [00:19] Use case #1: AI agents—personalization, agent reputation, platform reputation [00:22] Why these reputations must be decentralized (avoid platform capture) [00:23] GTM: unopinionated dev platform + opinionated apps to show PMF [00:24] Biggest challenges: focus, hitting PMF, AI acceleration outpacing products [00:27] Mission: give AI “intuition” via signed, attributed, reputational data [00:28] Reducing AI’s recursive slop problem; verifiable attribution with keys [00:30] Humans act differently per platform; algorithms distort expression [00:33] Call to action: build at the AI × Web3 trust layer; join the community [00:35] Layer Zero Ventures origins (people = Layer 0); why Intuition exists [00:37] Events: Korea Blockchain Week & Token 2049; Intuition side eventsConnecthttps://www.intuition.systems/https://www.linkedin.com/company/0xintuition/https://x.com/0xintuitionhttps://www.linkedin.com/in/william-luedtke-b0a3bb5a/https://x.com/0xbillyDisclaimerNothing 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/

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• 293: Federated Identity, Real Consent & Bot-Free Traffic w/ Patrick (Tracer Labs)

  Patrick (Tracer Labs) breaks down Trust ID, a consent + identity layer that replaces cookie pop-ups with a portable, user-owned identity (and embedded wallet). We dig into how Tracer helps brands unify siloed data without storing PII, verify real humans amid AI traffic, and enable one-click privacy that travels site-to-site.Timestamps[00:00] AI = most traffic; attribution is broken [00:01] Intro — Patrick, Tracer Labs & Trust ID [00:02] Patrick’s crypto origin story & prior ventures [00:05] The problem: siloed brand data + compliance burden [00:06] What Trust ID does: consent + identity + embedded wallet [00:07] One-click wedge: spin up wallet, tokenize consent, no more cookies [00:09] Brands get real humans, no PII; users keep privacy & control [00:12] GDPR/CCPA costs; why a new US standard is needed[00:15] AI search & bot traffic: restoring pre-intent signal[00:18] Federated identity, modular plug-in, keep existing auth[00:19] Agentic “child IDs” w/ wallets & rule sets (Q1 roadmap)[00:20] KYC/KYB as commoditized credentials that travel with you [00:22] Live MVP; replacing legacy consent managers; early clients [00:24] Who’s adopting: cards, casinos, banks, travel; multi-brand SSO [00:25] Unifying loyalty & rewards across properties [00:26] Founder advice: talk to customers on day one [00:31] Digital identity misconceptions; why this time is different [00:33] Abstraction for users; less friction, fewer decisions[00:36] Vision: 0.5–1B users; cut spam; programmatic commerce [00:38] The ask: hiring devs; enterprise intros; $15M seed openConnecthttps://www.tracerlabs.com/https://www.linkedin.com/company/tracerlabs/https://www.linkedin.com/in/patrickmoynihan1/DisclaimerNothing 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/

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• 292: Building AxonDAO — From Wearables to Research Funding on-chain, with Jay

  Jay from AxonDAO breaks down decentralized science in plain English: giving people ownership of health data, enabling ethical AI insights, and funding research via a governed community. We cover live use cases like A+Voice (voice biomarkers for early Alzheimer’s/dementia signals) and CureRING+CureOS (a data vault + wearable), plus how AxonDAO supports external researchers and projects (e.g., LymeDAO). Jay also shares a sharp playbook for storytelling, positioning, and growth in frontier tech—who to learn from, what to avoid, and how to keep product, narrative, and feedback loops tight.Key Timestamps[00:00:00] Intro — science x AI x Web3 [00:01:05] Jay’s path: SA banking → security → tech → crypto[00:02:40] What AxonDAO is (and isn’t): DeSci, data ownership, ethical AI, funding [00:03:35] Projects: A+Voice (voice biomarker analysis)[00:04:35] CureRING + CureOS: wearable + personal health data vault [00:05:45] How AxonDAO supports researchers (network, platform, milestone funding) [00:07:05] Why not start with hospitals/gov data? Design partners and product truth [00:08:20] The hard part of marketing DeSci; proving the model [00:09:35] Explaining DeSci to family: “the commons for science” [00:10:45] Selecting projects: societal value, acceleration potential, founder grit [00:12:05] Storytelling that converts: category, positioning, emotional resonance [00:13:20] Shout-outs: Myosin’s Simon Yi; Celestia’s Ekram Ahmed; BioProtocol [00:14:40] Three growth tips: talk to users; avoid shiny pivots; roadmap with feedback [00:16:50] Host’s advice: ask better questions; product > marketing > sales [00:18:10] Vision (2–3 yrs): self-sovereign health data; infra for global researchers [00:20:05] Challenges ahead: crowded wearables; agentic AI UX; controlled growth [00:21:05] The Ask: Series A opening; looking for ML/AI talent; links & contactConnecthttps://www.axondao.io/https://x.com/Axondaohttps://www.linkedin.com/in/jarrod-frankel/https://x.com/jay_franks91DisclaimerNothing 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/

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