In this Revenue Search session, Mark and Siam open with a quick macro discussion about escalating conflict in the Middle East, the Strait of Hormuz risk, oil spikes, and how that could affect inflation, rate cuts, and global “printing” dynamics—then pivot to why war-time social media becomes a firehose of fake or misleading footage, setting up the day’s guest: Vericore (Subnet 70). Vericore is presented as “community notes on steroids”: miners research specific claims and return an auditable evidence trail with semantic scoring (e.g., supports/refutes a claim, confidence, and left/right leaning), intentionally surfacing varied and even conflicting sources to break echo chambers. The team explains how evidence quality is judged (cross-source corroboration, source weighting/whitelisting for reputable outlets and academic papers, and plans to back-test research once outcomes resolve), and how the product can plug into agent “harnesses” via API/Handshake so bots (including OpenClaw-style agents) can use it as an honesty/unbias layer. On monetization, they discuss charging per API call, building a personalized “Signal” product, lead-gen around prediction markets, and exploring a prediction-market fund/competition where a large share (at least ~50% or potentially all) of profits loops back into subnet token buybacks—while noting current bottlenecks are API speed/performance and structuring the fund, plus balancing building real product vs hype.
