Si alguna vez intentaste armar una ruta de reparto en Google Maps, ya conoces el problema: al llegar a la parada número diez, el botón de “Agregar destino” desaparece. Necesitas hacer 25 entregas y Google te deja planear 10. Llevo más de veinte años construyendo modelos de optimización de rutas para empresas, y en este artículo te muestro cómo hacer una ruta con más de 10 paradas en Google Maps — gratis, sin instalar nada y sin pagar una suscripción.
Continue reading “Cómo hacer una ruta con más de 10 paradas en Google Maps”Route4Me Alternative: A Free Optimizer, No Sales Call
If you’ve tried to get a straight price out of Route4Me, you’ve probably hit a “contact sales” button instead of a number. That’s the most common complaint I hear, and it’s usually why people start searching for a route4me alternative in the first place. I’ve spent twenty-plus years building routing and scheduling optimization for a living, so I built a free one for the operator who just wants to run a route, not book a demo call first.
A Withdrawal Rate Calculator That Draws Down to Zero
After I put the Roth conversion tool online, the question I kept getting wasn’t about conversions at all. It was simpler and scarier: “OK, but how much can I actually spend?” Almost every withdrawal rate calculator answers that by multiplying your savings by 4% and calling it a day. So I added a mode to my own optimizer that throws the flat percentage out and solves for the real number — the most you can spend every year while drawing every account down to zero by the end of the plan.
Continue reading “A Withdrawal Rate Calculator That Draws Down to Zero”The Bug That Ate a Day: It Only Hung in Production
This is the last post in my series on rebuilding my daily fantasy lineup optimizer (it all starts here). The math was the easy part. This post is about the day I lost to a bug that didn’t exist on my computer and only showed up once the tool was on a real server — the kind of problem that makes you question your sanity before you find it.
Porting My 20-Year-Old Excel Models to Python
This is part five of my series on rebuilding my old daily fantasy lineup optimizer (the series kicks off with how I got into this). The earlier posts were about the math. This one is about the move itself: taking a model that lived in an Excel workbook for over a decade and turning it into a web app anyone can use without installing anything. It’s the same journey I’m making with all my old Operations Research models, one at a time.
