Posted 5 single-line, question-led comments on posts in Rahil's space (McKinsey problem-solving, founder speed/execution, AI implementation thesis, EdTech security, software-startup operational moats). All different creators from prior runs. Highest-reach post this run was Dolly Bajaj at 4,793 reactions, more than 5x the prior run high.
Author: Dolly Bajaj (2nd connection, Associate at McKinsey, MBA at ISB, BSc in Statistics at St. Xavier's)
Post: "One skill I picked up at McKinsey: Drawing out the problem before solving it." Whiteboard with two coloured markers, mapping out the problem structure, externalizing thinking, solution maps with paths, assumptions, risks. Closes with "Curious, do you think better on paper or in your head?" 4,793 reactions, 85 comments, 62 reposts.
Theme: McKinsey problem-solving / externalizing thinking
Comment posted:
Externalizing the problem is what unloads working memory and lets you actually compare options instead of cycling through them, do you find that drawing also forces you to commit to a structure of the problem you would otherwise keep fuzzy?
Author: Raj Shamani (Following, Founder and Host at Figuring Out podcast, Building Cüraa by YFL Home, well-known Indian founder/creator)
Post: "The cost of waiting has become higher than the cost of being wrong." Argues planning-heavy mindset is obsolete now that tools make testing cheap, markets move fast, and course correction is easy. Winners decide fast and fix fast. 1,712 reactions, 178 comments, 12 reposts.
Theme: Founder speed / bias for action in the AI era
Comment posted:
The cost of waiting is hidden because you cannot see the iterations you did not run, while the cost of being wrong is loud and visible, do you think most founders overweight the visible cost simply because it is easier to defend in retrospect?
Author: Subham Kumar Boundia (2nd connection, CEO at Superleap AI CRM)
Post: Anthropic and OpenAI raised more than 5.5B in partnership with private equity firms (Goldman Sachs, Blackstone, TPG, Bain Capital) to bring AI to enterprises. "Not selling models. Selling implementation." SaaS becomes Service-as-a-Software. Software is getting cheaper, services layer is getting more valuable. 41 reactions, 3 comments, 2 reposts.
Theme: AI implementation as the product, not the model
Comment posted:
Service-as-a-Software reframes the moat from model performance to who controls the workflow change, which is exactly where most enterprise AI rollouts die quietly, do you think this also flips who founders should hire first in 2026 from engineers to deployment leads?