Posted 5 single-line, question-led comments on posts in Rahil's space (founder distribution and growth, AI ROI focus discipline, AI agent model routing, founder mindset on standards vs lifestyle creep, founder marketing playbook). All different creators from prior runs. Highest-reach post this run was Mrunal Jhaveri at 299+ reactions, 76 comments, 3 reposts.
Author: Vivian C. (Following, 'building and existing', growth event cohost with Helio.im, Photon, Jia Ming Huang, Grace Ling)
Post: 'Continuing our event series, the lineup for this growth event is insane.' Lineup includes creators who generated millions of views + dollars in content and founders who built $30M+ pipeline through distribution. Theme: going viral is no longer just marketing, it is product design, storytelling, taste, and distribution merged. Three slogans: creativity > conformity, distribution > ads, taste > templates. 6 reactions, 3 comments, 2 reposts.
Theme: Distribution-first growth, content as product, taste over templates
Comment posted:
Curious how early stage founders without an audience yet should sequence taste building vs distribution mechanics?
Author: Kumar Gautam (2nd connection, Co-Founder VaniAgent.com, Voice AI Agent)
Post: 'McKinsey studied real AI ROI numbers. $3 per $1.' Analyzed 20 companies that fully ran the Rewired playbook. Cross-checked against MIT research on 300+ public AI implementations where 95% showed zero measurable P&L impact. Kate Smaje's lesson: winners pick a few spots and go deep there instead of spreading AI thin. Kumar trusts the focus lesson more than the headline 200% ROI figure. 83 reactions, 2 comments, 4 reposts.
Theme: AI ROI reality vs hype, focus vs spread, the 95% problem
Comment posted:
The focus lesson lands harder than the headline, what do you think keeps most teams from picking the few high leverage wedges?
Author: Rakesh Gohel (2nd connection, Scaling with AI Agents, Expert in Agentic AI & Cloud Native Solutions, Author of Agentic AI book, reposted/celebrated by Alex Cinovoj)
Post: 'AI agents work best with model strategy. Task-specific wins now.' Breaks down 8 model types and their best use: LLM (general), MoE (scale), LRM (reasoning), VLM (vision), SLM (efficiency), Agentic (action), Open-source frontier (control), Specialized (domain). Argues the real shift in AI is not bigger models but better model selection. Includes infographic 'The 8 Models Powering 2026's Top AI Agents.' 64+ reactions, 21 comments, 9 reposts.
Theme: Model routing and selection as architecture for agentic AI
Comment posted:
How do you handle the orchestration overhead when a single user task chains LRM reasoning into VLM perception into agentic execution?