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Automated sign detection across the Electronic Babylonian Library
Police Removed Prominent Scientists from the ADA Meeting. Researchers Respond
Open Problems: Why Reading Every Herculaneum Scroll Is Still a Challenge
Splink – Fast, accurate and scalable probabilistic data linkage
Saying Goodbye to My Office
The Visual 6502
Stripe in talks to buy OpenRouter for about $10B
Ground Robots Inherit the Kill Zone
98.css
Government withdraws reporter subpoenas for NYT after admitting legal errors
AMD calls CUDA a 'non-event'
I Spent 3 Weeks Debugging Rate Limits Before I Realized the Problem Wasn't My Code
Ever chased a bug for days, only to discover the "bug" was actually the platform working exactly as designed? That happened to me building a client reporting pipeline. The lesson stuck. Here's what nobody tells you about pulling marketing data from multiple ad platforms: the hard part was never the dashboard. It was everything underneath it. The Setup That Looked Simple on Paper The brief sounded easy. Pull spend, clicks, and conversions from Google Ads and Meta. Store it. Display it in a chart. A junior dev could knock this out in a sprint, I figured. Reality disagreed. Google Ads API enforces operation quotas per developer token, and those quotas scale differently depending on account tier. Meanwhile, Meta's Marketing API throttles based on a rolling usage score tied to the ad account itself, not your app. Two platforms. Two completely different throttling philosophies. Neither documented in a way that made the actual limits obvious until you hit them in production. Where Things Actually Broke My first version polled every client account every hour. Fine for three clients. Then we onboarded client number twelve, and Meta started returning 429s intermittently. Not consistently — intermittently. That's the worst kind of bug. I initially assumed it was a code issue. Retry logic, maybe a race condition in my job scheduler. I spent three weeks going down that path. Eventually, I found the real cause: cumulative API call volume across all client accounts was tripping Meta's app-level rate limit, not the individual account limit. The fix wasn't more retries. It was a request queue with exponential backoff, plus a priority system so active dashboards refreshed before idle ones. Simple in hindsight. Expensive in dev hours. The Real Architecture Behind Multi-Platform Reporting If you're building this yourself, here's what a production-grade pipeline actually needs, based on what broke for me. A Queue, Not a Cron Job Don't just fire off API calls on a schedule and hope for t
🚀 Turning My Android Phone into a Linux Lab with Termux (Instead of Paying for a VPS)
You don't need a cloud server to start learning Linux administration. A few days ago, I came across a LinkedIn post by Luiz Fernando dos Santos about turning an old Android phone into a Linux server using Termux. Reading his post made me wonder: Do I really need to pay for a VPS just to learn Linux and server administration? The answer, at least for now, seems to be no. Inspired by his idea, I decided to build my own learning environment using nothing but an Android phone and Termux. This article is the beginning of a series where I'll document everything I learn along the way. Inspiration Before getting started, I'd like to give credit to Luiz Fernando dos Santos, whose LinkedIn post inspired this project. His idea of using an old Android phone as a Linux server showed me that I didn't need to rent a VPS to start learning Linux administration. You can check out his original post here: 🔗 https://www.linkedin.com/pulse/transformando-um-android-antigo-em-servidor-luiz-fernando-dos-santos-gu1if/ First Steps I had already been using Termux for quite some time, so the first thing I did was update all the installed packages. apt update apt upgrade -y After that, I installed OpenSSH. pkg install openssh Before moving on, I wanted to understand what SSH actually is instead of just following commands from a tutorial. SSH (Secure Shell) is a protocol that allows you to securely connect to another computer or server through an encrypted connection. It's one of the most common ways to remotely access Linux servers. After installing it, I found the Termux username, configured a password and started the SSH server. Then I tried connecting from my computer... And it worked! It may sound like a simple thing, but seeing my computer remotely access the Linux environment running on my phone was surprisingly satisfying. Improving the Authentication After getting the basic connection working, I started researching how authentication by SSH keys works. I learned that instead of typing a
Coin Used for Bus Fare Turns Out to Be 2k-Year-Old Carthaginian Artifact
Peacock is finally profitable, thanks to the World Cup and Love Island
Gooooooooooool!
Doctor Dario (Game)
Stripe in talks to buy OpenRouter for ~10B
Couple pay >$800k for a gene-editing therapy for their daughter. She died.
The Elm Architecture, without Elm
This blog post is about implementing the Elm Architecture (TEA) in C for a Raylib + Clay app submitted by /u/Direct_Beach3237 [link] [留言]