
Robert MacCloy
358 posts

Robert MacCloy
@rbm
Programmer-type. Distributed systems, developer tools, internet plumbing. Early at @Quantcast, @HearsaySystems, others. Building a new thing @ScrunchAI




I was already curious how so many startups these days are SOC 2 Type II compliant …












All Mintlify pages now send markdown by default to AI agents instead of html → 30x reduction in token usage → 30x faster processing → Your AI coding assistants (claude code, cursor, perplexity) get better results


Time to consider not just human visitors, but to treat agents as first-class citizens. Cloudflare’s network now supports real-time content conversion to Markdown at the source using content negotiation headers. cfl.re/4ksZQ1S


@GergelyOrosz Meta has entire teams dedicated to making this possible. Small startups and most orgs don’t have that infrastructure. Better approach: sandbox environment where new hires can break things safely, learn the system, then ship what matters.


Exclusive: A U.S. official has alleged wrongdoing by U.S. spy chief Tulsi Gabbard in a complaint that is so highly classified it has sparked months of wrangling over how to share it with Congress, according to people familiar with the matter on.wsj.com/45Mx1aO









No — personalization of AI chatbots won’t make “LLM visibility tracking” useless. Just like personalization in Google search didn’t make "SEO rank tracking" useless. I just read a post by my friend Eli Schwartz, where he argued that "universal LLM rankings become meaningless when every response is contextually unique." I respectfully disagree. 🙂 Two reasons why: (1) We like to think of ourselves as unique individuals. But when we search for a product to buy, we can usually be grouped into fairly distinct buckets: - SMB or Enterprise? - B2B or B2C? - Ecommerce, SaaS, Crypto, Media, etc. - Founder, executive, employee, etc. And chances are, many of the problems we’re trying to solve are pretty standard across industries and business types. As well as the solutions to these problems. (2) Let's say you're looking for a CRM. There are only so many of them that AI can recommend. And the top players would typically service a broad range of customers anyway. How specific does a CRM-related question need to be for AI to completely ignore the usual suspects? (Salesforce, HubSpot, Pipedrive, etc.) IMO, there’s no way that any decently sized brand will just completely give up on tracking their visibility in AI answers. That said... I’m quite certain that “AI visibility tracking” will become an essential part of marketing reports going forward. You just need to be very thoughtful and strategic about which prompts you choose to track and why. But that’s a story for another post. 😉


The enterprise SaaS cohort only starts to work after we see a total reset of pricing models - away from seats and towards consumption-based pricing. This also means a total reset of near-term revenue growth and margin. I won't own until after that happens.










