Most of us with meaningful equity comp still piece together taxes, hedging, and diversification as separate problems. Spreadsheets, rules of thumb, and a lot of second-guessing. I built OptionsAhoy to do it properly: one optimizer that evaluates millions of combinations across multi-year horizons and three market scenarios (bullish, neutral, bearish). You set your actual goals: max after-tax value, minimize taxes, maximize cash, whatever mix matters to you, and it returns a clean month-by-month action plan. Still invite-only beta, but feedback so far has been strong. optionsahoy.com Curious what others are using for these kinds of decisions

Insteaf of a thousand words. A woman trapped under the rubble after a Russian strike is showing rescuers how old her daughter is. The little girl was killed by Russia.

.@elonmusk

Mr Musk, @elonmusk , I realize you're a busy person. But your company's name will now be used in relation to these horrific crimes that could have been prevented using Starlink. You said Starlink couldn't be used in offensive military action. But protecting supermarkets, the children, women and men there isn't offensive military action. Why don't you spend a minute of your time to enable Starlink for Ukraine's anti drone operations? What could possibly stop you from saving a few lives?

AI has given everyone the power to optimize their RSUs, compensation options and stocks. The way rich folks with Deloitte accountants do. You just need correct federal and state tax math. Current price and volatility data. A valid optimization method. And a way to catch the bugs, false assumptions, and bad data. You're all set if you have all that. For everyone else: My calculators are free. Tested to the cent against IRS publications and two open-source tax engines. The site has a verification page showing the math next to its sources, live, plus around 1,900 test cases behind the scenes. No account, no email. I don't need your data. The math should be available to everyone who earned the equity. Democratize Deloitte.

AlphaLatitude builds OptionsAhoy: equity compensation optimization. The problem: if you work at a public tech company, a large share of your net worth arrived as RSUs or compensation options. The decisions attached to them are real math. When to sell, hedge or exercise. What AMT does to an ISO exercise. What a protective put costs. Whether QSBS applies. Most people get this advice one of two ways. A CPA for hundreds of $ an hour, or a forum thread of uneven quality. We built a third option: free calculators for the individual pieces, and an optimizer in invite-only beta for the whole problem at once. What this page will cover: equity comp mechanics, tax interactions, and the occasional platform analysis. No hype. Every claim checkable. Calculators: optionsahoy.com/tools

This will never get old.

An AI just closed an Erdős problem. Everyone read that as the machine catching up to Erdős. Is it really? David Turturean used GPT-5.5-Pro to solve Erdős #870. The proof held across 180,000 lines of formal verification, a scale no human had formalized before. Here is the thing: Erdős posed it. A human looked at an effectively unbounded space of things one could ask and picked out the question worth a century of attention. A human still drove the solving, and the hardest part, verifying the proof, was his too. The model was a tool inside that. Solving is downstream of conjecturing. The search got smart. The taste to know what's worth searching for did not. The day a model poses a conjecture with Erdős's elegance, something genuinely new will have happened. We're not there. Yet P.S. For math buffs: #870 is about sets of numbers you can add a few of together to build any large number. It asks whether having many ways to build each number means every element is essential. It turns out: one can always be removed.