Crypto Coin Show

The Graph has processed 1.27 trillion queries and most builders still treat it as a subgraph indexer. After the Horizon upgrade, that's not what it is anymore. Nick Hansen, Team Lead at The Graph Foundation, joins us live from Consensus Miami 2026 to break down what The Graph has become: a modular, multi-service data backbone targeting the $47 billion agentic AI economy. The December 2025 Horizon upgrade didn't just improve the protocol — it transformed it. Six new data services are now live or in deployment: Subgraphs, Substreams, Token API, Tycho for DeFi solvers, Amp for institutions, and JSON-RPC. We get into how AI agents will query The Graph and pay per-query with no API keys, why record usage hasn't translated to GRT price performance, and what the missing ingredient is to kick the economic flywheel into gear.
🔗 https://thegraph.com

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Hudson Jameson, blockchain security veteran, former Ethereum Foundation core dev liaison, SEAL Org member, and CertiK Security Advisor — sits down with us live at Consensus Miami 2026. CertiK controls over 65% of global blockchain auditing, has secured $600B+ in digital assets, uncovered 180,000+ vulnerabilities, and in April 2026 publicly launched its AI Auditor with an 88.6% hit rate across 35 real-world Web3 incidents. Hudson brings a rare perspective that spans Ethereum's earliest governance battles, Flashbots, Polygon, and now the front lines of AI-powered security. We dig into what AI can and can't catch, why cross-chain bridges remain the hardest attack surface to secure, how Skynet monitors threats in real time when both attacker and defender are AI systems, and what the industry still refuses to take seriously enough. This is the most honest conversation in Web3 security happening at Consensus this year.
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In this episode of Blockchain Interviews, Ashton Addison sits down with David Track, Founder of SOSANA — a Solana-based enforcement layer built to solve one of crypto's most persistent problems: discovery. With thousands of new tokens launching every week and retail investors drowning in noise, SOSANA is building a gated, verifiable community model that replaces trust-based systems with automated, transparent execution. David breaks down how the platform's community-driven voting reward system works, why enforced rules — not suggestions — are the only way to protect users, and how the bi-weekly "Safe from SOSANA" list is turning chaotic community sentiment into structured, accountable signal. A timely conversation for anyone trying to navigate the crowded crypto landscape.
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Sports bettors lose to the bookmaker before the game even starts. The house sets the lines, pockets the margin, and decides who gets to play — and most people have no idea how much that spread is actually costing them. PRED is a peer-to-peer sports prediction exchange built on Base that removes the middleman entirely.
We sit down with the team behind PRED to break down how a decentralized sports prediction exchange works, why betting peer-to-peer changes the economics for bettors, and what it takes to build a regulated, on-chain alternative to the sportsbook model. From how PRED's matching engine works to the role of liquidity providers and what PRED token holders actually get, this is a practical look at what sports betting looks like when the house no longer has an edge.
You'll learn:
- Why sportsbooks are structurally designed to take a margin on every bet — and how much it costs the average bettor over time
- How PRED's peer-to-peer exchange model works and what it means to bet directly against other users
- What building a sports prediction exchange on Base (Coinbase's Layer-2) changes about accessibility, cost, and settlement speed
- How liquidity works on a decentralized prediction exchange and who the counterparty actually is
- What the PRED token does and how value flows through the protocol
🔗 https://pred.gg/

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Most blockchains are fast enough to transact but can't prove the transaction was valid without trusting someone. That gap — between execution and verifiable proof — is what institutions, AI agents, and regulated finance keep running into. Daniel Marin, CEO of Nexus Labs, breaks down how Nexus is building a zkVM-powered financial network designed to make every computation cryptographically verifiable at scale. After Testnet III hit 3M+ users and 5M+ nodes, Mainnet launches with validators, provers, and oracles already live — not a blank canvas — plus enshrined financial applications built directly into the protocol rather than bolted on as smart contracts. We get into what zkVM 3.0's 1000x throughput jump unlocked, what 4.0 adds mid-2026, and why the one thing AI agents need most — the ability to transact and prove execution without a human in the loop — is the exact infrastructure Nexus is being built to provide.
You'll learn:

• What "enshrined" financial applications mean and why building primitives into the protocol changes what developers can build
• How Nexus Mainnet differs from the testnet and what the 3M+ user scale of Testnet III proved before launch
• What zkVM 4.0's batching, instruction sorting, and recursive composition unlock for real-world DeFi and AI agent use cases
• Why verifiable execution matters more than speed for institutions evaluating onchain infrastructure in 2026
• What the Nexus Exchange offers that existing DEXs can't and how the 96+ ecosystem partners fit into the Mainnet launch

🔗 https://nexus.xyz
📺 Refinitiv TV: https://lseg.group/431uyHy

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Token launches fail fast when liquidity is fake — and most teams do not know how to measure “good liquidity” until it is too late.
Scott Byron, Managing Director at Forgd, breaks down how market making actually works, why RFQ processes mislead founders, and what Liquidity Transparency looks like when market makers are judged on real historical performance.
Learn the signals that show liquidity is fragile, how fragmentation and post-launch incentives punish weak launches, and what founders should track 60 days pre-launch to avoid negotiating traps.
🔗 https://www.forgd.com/
🐦 https://x.com/Forgd_

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Crypto adoption has stalled at the on-ramp. Most wallets and dApps lose users at the exact moment they try to buy their first token — because the payment flow is slow, the KYC is clunky, and the failure rates are quietly killing conversion.
Przemek Kowalczyk, Co-Founder and CEO of Ramp Network, breaks down how Ramp built a global fiat-to-crypto infrastructure layer operating across 150+ countries, supporting cards, bank transfers, Apple Pay, Google Pay, Pix, and more — all embedded directly into the apps users already have. From the root causes of failed onboarding (it's not what most teams think) to the just-announced Ramp multichain wallet and what stablecoins change about the entire ramp model, Przemek explains what it takes to run a real payments business inside the crypto economy — compliance, fraud, chargebacks, and all.

You'll learn:
- Why most crypto apps lose users at the payment step — and where the drop-off actually happens
- How Ramp's end-to-end flow works when a user buys crypto with a card, bank transfer, or Apple Pay
- Which payment rails drive the most volume across 150+ countries right now and why the mix matters
- What KYC looks like when you're balancing low friction with compliance across dozens of regulatory regimes
- The most common fraud vectors in crypto onboarding and how Ramp fights them without killing approval rates
- What the new Ramp multichain wallet means for users and for dApp developers routing users to a destination wallet
- How stablecoins as a default settlement rail change the future of on-ramps and off-ramps
🔗 https://ramp.network
🐦 https://x.com/RampNetwork

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Big Tech is spending $650B on AI infrastructure and still can't build fast enough. Half of US data centres planned for 2026 are delayed — and centralised compute is showing structural cracks. DECENTRALIZED AI is already running as a viable alternative at a fraction of the cost. Jack Collier, CMO at io.net, breaks down how io.net aggregates idle GPU power from data centres, mining rigs, and consumer devices into a single decentralised compute marketplace at up to 70% less than AWS or Google Cloud. We cover the IDE — io.net's new economic model that replaces inflation-driven tokenomics by paying suppliers in dollar value — and Agent Compute, the March 2026 launch that lets AI agents autonomously purchase their own GPU resources. From why DePIN economics kept breaking to what the sustainability ratio tells you about network health, this is the case that decentralised AI infrastructure has graduated from hype to utility.
You'll learn:

• Why centralised AI infrastructure is hitting a wall and what decentralised compute actually solves
• How io.net's IDE replaces inflation-driven tokenomics with real revenue — and what the burn mechanism means for $IO holders
• What Agent Compute is and why AI agents autonomously buying their own compute is a first in the token economy
• How io.net routes around failure where a single AWS outage takes everything down

🔗 https://io.net
🐦 https://x.com/jack_ionet 

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Most Layer One upgrades are incremental. XYO just shipped a throughput jump of two to five times, dual DataLake support in the SDK, and validator and producer stability fixes — all at once — and the full implications for developers and XL1 economics haven't landed yet. Arie Trouw, Co-Founder, CEO, and CTO of XYO, breaks down what actually changed in this infrastructure push: what was bottlenecking throughput before, what the DataLake SDK unlocks for builders working with real-world data, and why stability at the validator layer matters more than most people realize. We also get into where verifiable data infrastructure fits in the AI stack — why provenance becomes more valuable than the data itself as AI scales into robotics, logistics, and autonomous systems — and what XL1's economics look like as the network grows.
You'll learn:

• What caused the throughput bottleneck before and what specifically changed to push past it
• What private and public DataLake support in the SDK unlocks for developers building on XYO today
• Why verifiable data infrastructure is a critical missing layer as AI moves into the physical world
• How the throughput upgrade changes XL1's utility and the supply-demand dynamics around it
• What the KuCoin spot trading competition signals about XYO's strategy at this stage of the network
• What to watch for in the May push beyond what's already shipped

🔗 https://xyo.network
🐦 https://x.com/XYONetwork 

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The travel industry runs on hidden fees and expiring rewards — and most hotel loyalty programs are designed to make points hard to use, not easy.
Michael Ros, CEO of Europe at Staynex and founder of [Sleap.io](http://Sleap.io) (recently acquired by Staynex), breaks down how Staynex is building a Web3 travel membership — zero booking commissions for hotels, tokenized travel rights, and a revenue-sharing model for members ahead of the April 23 TGE. From why the [Sleap.io](http://Sleap.io) acquisition happened to what $STAY token holders can actually do with it, this is a practical look at what "Netflix for travel" means when it's backed by real inventory and on-chain mechanics.

You'll learn:
- What a Staynex membership actually unlocks — and how it differs from Airbnb, [Booking.com](http://Booking.com), and hotel loyalty programs
- Why hotels pay zero commission to list on Staynex and where the platform's revenue actually comes from
- What the [Sleap.io](http://Sleap.io) acquisition added to Staynex's European expansion and booking infrastructure
- How the $STAY token's Stake & Claim revenue-sharing model works and what holders can do with it
- What's actually on-chain — memberships, travel rights, rewards, or something else
- How Staynex is thinking about post-TGE token distribution and avoiding a sell-off

🔗 https://www.staynex.vip
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