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Building an AI-Powered Dog Breed Recommender with Flask, Nyckel, and Google Gemini Overview This application takes a photo or image URL of a dog and passes it to an external API to determine the breed. Once the breed is identified, a custom prompt is sent to Google Gemini and the results are returned to the user as a tailored list of care recommendations for that specific breed. Tech
Stripe is opinionated: a Price object has one currency. If your product is priced at $79 USD, that's what Stripe charges. But for conversion optimization, you want to display the price in the visitor's local currency — Argentinians see ARS, Brazilians see BRL, Germans see EUR — converted at the live FX rate. The math is simple. The trick is doing it without a 200ms client-side flash. Stripe holds
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