Why this list is different The "best" email API depends entirely on what you're building. A side project optimizing for the free tier needs different things than a Series B SaaS sending two million transactional emails a month. This post grades eight providers against the criteria that actually move the needle in production, and tells you which one to pick for which use case. Most roundups in th
Like many of you, I have thousands of photos spread across devices, cloud drives, and chat histories. Finding that one specific picture from "last summer's beach trip" meant endless scrolling. Folders and filenames don't help when you can't remember when or where you saved something.Morse Code Translator So I built a tool to fix my own problem. It turned into a real product. Upload your photos, an
Everyone is talking about AI replacing developers. I wanted to test that claim with a real project — not a tutorial, not a todo app, but a production-grade full-stack application with real business requirements. The result is Craftura Fine Furniture: a complete furniture manufacturing website with B2B and B2C ordering, an admin panel, analytics dashboard, CMS, SEO, dark/light mode, email notificat
Exemplo mínimo de uso com Bun (baseado na documentação oficial) Aviso: Este exemplo é puramente acadêmico, baseado na documentação oficial do Next.js. Para um ambiente de produção real, ajustes adicionais de segurança, performance e monitoramento são necessários. 1 - Ajustar o next.config.ts para "Standalone": import type { NextConfig } from "next"; const nextConfig: NextConfig = { output: "
If you want to Automate GitHub PRs, the real goal is not just adding another bot comment to a pull request. The goal is to give reviewers the context they usually have to gather manually: who owns the service, whether it is deployed, whether basic repository standards are in place, and whether the change looks safe to merge. A useful AI pull request workflow can do exactly that. When a PR opens, i
The "Unsharable" Dashboard Problem Imagine this common B2B SaaS scenario: An executive opens your analytics dashboard. They spend three minutes configuring the data—they filter the status to "Active," set the date range to "Last 30 Days," sort the table by "Highest Revenue," and navigate to Page 4. They copy the URL and Slack it to their team lead. The team lead clicks the link, but instead of see
The setup I was building an AI article generator. Four phases: Research — pull live SERP data, extract entities, score competitors Brief — Claude Sonnet writes a structured brief from the SERP Draft — section-by-section drafting in a fixed persona voice Polish — adversarial review pass that flags AI tells End-to-end: 6–8 minutes. Each phase: 60–180 seconds. Multiple LLM calls per phase. Token st