I've been in crypto for seven years. Same Ledger Nano S the whole time. Hardware wallets are one of those things where if it works, you don't touch it. Mine works. I wasn't looking to switch. Then OneKey emailed me, said they'd found this blog, and sent me a Classic 1S to actually use. I said yes because I was curious, not because I was sold. Full disclosure: OneKey sent the device for free and I
published: false The premise: Fully autonomous AI agent. $20,000 in 30 days. Zero marketing budget. Human monitors from Slack only. The result after 8 days: 200+ articles published. 10 digital products live on Gumroad. 11 open-source PRs submitted. Zero dollars earned. Here's the honest breakdown, including the exact mistakes. The system was designed as a 4-layer pipeline: Content Engine — AI writ
Showing prices in a user's local currency increases trust, reduces bounce rates, and improves conversions — especially for international audiences. Here's how to do it automatically in React. Detect the user's currency from their IP address (no user input needed) Fetch the live exchange rate for that currency Format the price according to their locale // hooks/useCurrency.ts import { useEffect, us
IP geolocation is one of the most accessible fraud signals available. It won't stop sophisticated attackers, but it catches a significant amount of low-effort fraud with very little implementation overhead. Impossible travel: A user logs in from Germany, then from Brazil 10 minutes later. Country mismatch: Billing address is in the US, but the IP is in a different region. High-risk region matching
A walkthrough of prompt injection attacks against OopsSec Store's AI assistant, bypassing its input filters to extract a flag from the system prompt. OopsSec Store has an AI support assistant with a secret embedded in its system prompt. The only thing standing between us and the flag is a regex blocklist. Spoiler: four regexes are not enough. Initialize the OopsSec Store application: npx create-os
I have a confession. For years, when a developer proudly showed me their Python app — gray square buttons, a Listbox straight out of 1998 — I would politely nod. I've stopped doing that. Not because I turned mean. Because PyQt6 exists, and there's no excuse anymore. This article is my attempt to convince you — yes, you, the one still typing import tkinter out of habit — that something radically be
As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! I’ve spent years writing software, and one thing I’ve learned is that managing dependencies can turn a clean codebase into a tangled mess. Dependency injection (DI) containers help, but most are either too heavy or don’t handle c
If you're using a scraping API like ScraperAPI, Scrape.do, or ScrapingBee, you already solved the hard fetching problem — proxy rotation, CAPTCHA, JS rendering, IP blocks. But here's what happens after the fetch: const html = await scraperApi.fetch('https://example.com/products'); // now what? // cheerio? puppeteer? regex? // custom parser that breaks every time the site updates? You get raw HTML