Sergio Regueira

The gap between "works in a demo" and "works at scale" is about 4,000 commits.

@arpit_bhayani 800 million users. one primary. meanwhile startups debate which database will scale before they have 10 users.

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President Ursula von der Leyen officially announced the EU–INC today at Davos! A single legal entity for all European founders to grow massive companies in Europe. Online incorporation in 48 hours. No more bureaucratic mess across European borders. All of you made this happen!

realizing you don’t need to know how to code to build good ideas anymore but you have no good ideas

Anyone else out there vibe circuit-building?

When you toggle the lights, the entire page dims to create a more immersive sense of the lighting Such a great design detail 💡

Biggest hack for managers who miss the instant dopamine of shipping software: weekly updates. They build discipline, accountability, and visibility. They force you to reprioritize. You actually ship something every week, and it feels great to reflect on the progress made.

“Good morning. Your payment has been declined”

A common mistake that AI companies make nowadays is to not give their engineers enough time and mental calm to do their best work. Constant deadlines, pressure and distractions from daily AI news are poison for writing good code and systems that scale well. That’s why most AI APIs and products have reliability issues. A good company culture that mixes excellence with focus and enough rest leads to faster and better results. The best example of how to do it well is the early Google culture from 1998 which resulted in one of the largest scale and most reliable services on the web in just a few short years. Founders should copy some of the strategies that Larry and Sergey used. They are still underrated IMO despite their huge reputation.

Aquí os dejo un avance de mi último video, usando la Inteligencia Artificial para enseñar de una forma más divertida! Espero que os guste, tenéis el video completo en el tuit citado. Powered by: Nano banana + Veo3.1

CTO asked to reduce S3 costs. We were spending $4,200 monthly on storage. Implemented lifecycle policies: - Move to Glacier after 90 days - Delete after 2 years Cost dropped to $980 per month. Saved $3,220 monthly. DevOps team got praised in all-hands meeting. Three months later, customer needed a file from 120 days ago. Normal retrieval: 3-5 hours. Expedited: $150 for one file. Turns out those "old files" weren't old. They were: - Compliance records customers accessed quarterly - Historical reports used for annual comparisons Spent $2,400 in Glacier retrieval fees over 6 months. Wiped out all savings. Lesson: Know why data exists before deciding how long to keep it. Cheap storage that's inaccessible isn't cheap.

Klarna for GitHub: Merge now approve later

Lo que cuenta este post de Reddit no es un cliché: la mayoría de startups carecen de las buenas prácticas básicas de ingeniera informática. Empezando por un simple indice en BBDD... porque la mayoría no crea bases de datos con DDL sino con ORMs 🫠 old.reddit.com/r/Entrepreneur…

when bro suddenly starts submitting PRs with detailed descriptions, correct grammar and casing, and testing steps

If your map has every country you shipped too late.

Its not "vibe code", its sub-prime technical debt

I was raised to treat the janitor with the same respect as the CEO.

Wake up and immediately look at small screen before clocking 8 hours behind medium screen. Take a few breaks to check in on small screen. Go home and spend a few hours staring at big screen to wind down before getting into bed and looking at small screen. Living the dream.