This just in from The Buff Desk

"Make the first 30 seconds magical, and you earn the next 30." - Grant Lee, Founder - Gamma

Buff Briefs

Your quick scroll of what mattered last week, before the morning beverage kicks in.

😮 LinkedIn’s Natural-Language People Search: Premium U.S. users can now type natural-language queries like ā€œfind me investors in healthcare with FDA experience.ā€B2B prospecting just turned into prompt engineering.

šŸ¦„ Sakana AI Becomes Japan’s Most Valuable Unicorn: Raised $135M Series B at a $2.6B valuation, fueled by breakthroughs in ā€œcontinuous thought machinesā€ and inference time scaling. Asia’s AI ecosystem is building new reasoning paradigms.

šŸ“Š Google Ads - PMax Budgets & AI Mode Default: Performance Max now supports total campaign budgets (finally). Google is also exploring AI Mode as the default for Search. SEO will shift from keywords → AI citations → paid visibility inside generative answers.

🤯 DBS Bets Big on AI: Southeast Asia’s largest bank expects AI to bring in $768 M this year (up from $563 M in 2024) across 370 use cases, a signal that AI’s no longer just a cost saver, it’s a revenue engine. Finance is now leading AI adoption by ROI, not risk.

šŸ™‹ā€ā™€ļø LinkedIn’s Enhanced Discovery for Thought Leader Ads: You can now surface and sponsor organic posts from 1st, 2nd, and 3rd+ degree connections, including posts mentioning your brand.

Exclusive Quote from LinkedIn

ā€œEnhanced Discovery for Thought Leader Ads opens up a whole new world for brands… For the first time, they can scale authenticity and easily sponsor real conversations happening across their network.ā€

- Stephanie Thomas, Principal Product Marketing Manager, LinkedIn 

Buff Takeaway: Starbucks’ Bearista Masterclass

Starbucks’ $30 Bearista Cup sold out in hours and created a $200 resale economy overnight. The hype wasn’t an accident, it was excellent product instinct meeting imperfect infrastructure.

Using the 4 images below, here’s what this drop really teaches Brand and Product Leaders:

Demand Wasn’t the Problem. Prediction Was.

The real issue?
Starbucks treated a cultural moment like a routine merch drop.

The waitlist, sentiment modeling, and velocity forecasting should’ve existed before launch, not after fans camped outside stores.

Scarcity Works… Until It Breaks Trust

Starbucks promised ā€œavailable at ALL stores.ā€
Reality: 2–5 units per location.

An Expectation mismatch and Zero transparency resulted in a brand trust dent big enough for competitors to sneak in with dupes.

The Drop Optimization Playbook (If Starbucks Had It)

This playbook is only half the story.
For the full download, metrics, fairness scoring, LTV impact, and the exact KPIs that determine whether your drop compounds value or erodes trust, check out the full carousel on LinkedIn OR Instagram.

šŸ’¼ Events:

šŸ“Š Carousel Drops

Stay Curious, Stay Ahead!

"Make the first 30 seconds magical, and you earn the next 30." - Grant Lee, Founder - Gamma

Until next Monday Morning, Buffs!