Daily Edition · Page 7

THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & TRENDS

TLDR Founders

THE SAAS RECKONING: STOCK-BASED COMPENSATION WAS NEVER FREE

For a decade, SaaS companies added stock-based comp back on the way to "adjusted" EBITDA and pretended that 5-8% annual dilution was a footnote. Employees never bought it. They sell RSUs on vest day, budget the income like salary, and experience a stock decline as a pay cut. Now AI is repricing the entire SaaS universe, and companies that rode the add-back face an ugly choice: grant more shares to keep talent (brutal dilution when the stock recovers) or hold the line and watch people leave.

HOW TO NAME YOUR COMPANY: THE COMPLETE PLAYBOOK

Nothing in your brand gets used more often or for longer than your name. It shows up on every invoice, every pitch deck, and every email signature. Most founders still pick theirs by committee brainstorm or by whatever .com happens to be available. This post walks through what separates names that stick from names that get changed in two years, and why "safe" names that try to please everyone end up saying nothing at all.

HOW GTM-AS-PRODUCT CHANGES THE GAME

Product teams compound every sprint, but marketing blows up and starts over every time a new CMO or agency walks in. The ICP gets rewritten, the positioning deck gets shelved, and four months of messaging work vanishes. AI makes it possible to finally close that gap. One marketing leader with the right setup can build a living system where content draws from validated frameworks, new hires inherit full strategic context on day one, and this quarter's learnings actually feed into next quarter's campaigns instead of being forgotten.

THE "MISMANAGED GENIUSES" HYPOTHESIS

For the last decade, progress in AI came from making a single model bigger and feeding it more data. This post argues that the next leap won't come from scaling further. Current models are already good enough. The real bottleneck is how we organize and coordinate them. Better systems wrapping existing models will outperform one monolithic model trained on everything, and the field is only starting to figure out what that looks like.

EVERY FEATURE SHOULD EARN ITS PLACE

Building a feature has never been cheaper. Carrying one is just as expensive as it's ever been. Every addition makes the product harder to learn, harder to maintain, and harder to evolve, and products rarely fail for lack of features. They fail because they accumulated too many that nobody had the discipline to kill. When execution gets cheap, the right response isn't to ship more, it's to raise the bar for what gets to stay.

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