Every Web3 project has two unit costs that determine survival: the unit cost of business process and the unit cost of user acquisition. DeFi solved the first brilliantly. It has almost entirely ignored the second. X Space #14 with ChainAware co-founders Martin and Tarmo explains why solving acquisition cost is the formula that wins Web3 markets.
AGI does not exist and scaling LLMs will not produce it. X Space with ChainAware co-founders Martin and Tarmo explains why this distinction matters for Web3 founders and investors evaluating AI projects — and how to separate real utility AI from AGI hype that inflates valuations without delivering measurable results.
KOL campaigns bring airdrop farmers, not buyers. The only path to 20–30% conversion rates without KOL spend is replacing mass marketing with wallet-behavioral intention targeting. X Space #12 with ChainAware co-founders Martin and Tarmo covers the mechanics, the data, and how to implement intention-based marketing from day one.
Vitalik Buterin correctly identifies fraud detection and on-chain security as the highest-value AI and blockchain convergence — but underestimates what is already live and deployable today. X Space #11 with ChainAware co-founders Martin and Tarmo analyses Vitalik’s essay use case by use case and maps what is real versus what remains theoretical.
KOL marketing is structurally identical to 1930s mass marketing — same message to an undifferentiated audience, untrackable ROI, actively destroying Web3 project cash flows. X Space #9 with ChainAware co-founders Martin and Tarmo covers the data: fewer than 4% of KOL-driven wallets ever transact, and what to do instead.
Mass Web3 marketing delivers 0.1% conversion. Wallet-behavioral 1:1 targeting achieves 20–30% conversion by matching message to individual intention profile. X Space #8 with ChainAware co-founders Martin and Tarmo covers the mechanics of out-of-the-box Web3 marketing — what it looks like, how to implement it, and why the conversion gap is so large.
Six high-value AI and blockchain use cases that actually work — all requiring predictive AI trained on on-chain data, none solvable with generative AI wrappers. X Space #7 with ChainAware co-founders Martin and Tarmo covers fraud detection, rug pull prediction, wallet auditing, personalized growth, credit scoring, and transaction monitoring.
Generative AI creates content. Predictive AI solves Web3’s core problems of fraud and mass marketing. These are not competing tools — they serve completely different purposes. X Space #6 with ChainAware co-founders Martin and Tarmo explains the distinction every Web3 founder needs to understand before evaluating any AI project or investment.
The single most important diagnostic question for any blockchain AI project: does it use generative AI or predictive AI? Only predictive AI creates defensible competitive advantage in Web3. X Space #5 with ChainAware co-founders Martin and Tarmo covers where the competitive edge actually lies and how to evaluate any AI project against this framework.
500 million crypto users × $600 per user in bank data value = a $300 billion blockchain data goldmine sitting free and public on-chain. X Space #3 with ChainAware co-founders Martin and Tarmo covers six real AI use cases for this data — fraud detection, rug pull prediction, wallet auditing, credit scoring, personalized growth, and transaction monitoring.