creator youtube ign time-series v1 returns daily history showing 29 days to Oct 13 with followers flat at 20 M and daily engagements ranging from 2.5 M to 7.1 M, averaging 3.92 M. The post calls the stable follower count “useless.”
Key points
Followers flat at 20 M over 29 days to Oct 13
Daily engagements varied from 2.5 M to 7.1 M, mean 3.92 M
Sources
Cadillac sentiment 89% and TikTok 5.4% engagements
Cadillac reported 89% sentiment in the past 24 hours, 12 points above its daily average, and its TikTok accounted for 5.4% of 18.3 M engagements. The conversation is motorsport, with 55% of posts about a driver’s performance and 45% about mechanical reliability.
Key points
Sentiment: 89% in the last 24 hours, 12 points over daily average.
TikTok share: 5.4% of 18.3 M total engagements.
Motorsport discussion split: 55% driver performance, 45% mechanical reliability.
Sources
Agent Capital Markets 2.0 launches tokenized agents 80% faster
Agent Capital Markets 2.0 introduces tokenized agents and prompts launched via MeteoraAG's Dynamic Bonding Curve, making launches about 80% faster. Creators can pair tokens with $swarms, earn fees in the paired token, and configure on-chain fees with added token security.
Key points
Launch speed: launches are ~80% faster using Dynamic Bonding Curve.
Fee model: creators earn creator fees in their pool’s paired token.
Sources
Circleboom AI search visits and revenue 1.6%
Circleboom reports AI search (ChatGPT, Perplexity, Gemini, Claude, Copilot) generated 1.6% of visits and 2.1% of revenue. Those visitors converted 2.3× faster than Google organic search, with only paid search converting faster.
Key points
AI search contributed 1.6% of visits and 2.1% of revenue.
AI search visitors converted at 2.3× the rate of Google organic search.
Sources
Rox revenue agent launch with recursive self-improvement
Rox launches the first revenue agent with recursive self-improvement. The agent learns from work you keep asking it to do, spots the pattern, and offers to build an agent that takes it off your plate. You just review + decide what runs.
Key points
Launch: first revenue agent with recursive self-improvement.
Function: learns from repeated tasks, detects patterns, and proposes an autonomous agent for your review.
