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How I built a Minecraft server list that ranks by real player votes (not bots)

Hi, I'm Hugo. I built MinecraftServers-List.com — a Minecraft server directory that ranks servers by genuine player votes and uptime. Why I built it Most existing Minecraft server lists have the same problem: the rankings are easily gamed. Server owners run scripts to inflate their vote counts, and players searching for a good server end up with a list that reflects who has the best bots, not which servers are actually worth playing on. I wanted to fix that. What makes it different Vote integrity — votes are tied to real player sessions and IP validation, making bot voting significantly harder Uptime monitoring — servers that go offline lose ranking visibility automatically Player reviews — verified players can leave reviews with star ratings, giving prospective players real signal Java & Bedrock — both editions listed and filterable by gamemode, version, and country The tech stack Built with TanStack Start (React SSR), Supabase for the database, and deployed on Cloudflare Workers. The SSR approach was important for SEO — server listing pages need to be fully rendered for Googlebot to index individual server pages properly. What I've learned so far Getting a new directory site indexed by Google is genuinely hard. The challenge isn't technical — it's convincing Google that hundreds of server listing pages are individually worth indexing when they all share a similar template structure. The solution has been enriching each server page with structured data (VideoGame schema with AggregateRating), genuine user reviews, and making sure every page has a meaningfully unique meta description generated from real server data — version, gamemode, player count, country. Still a work in progress but the site is live, servers are actively listed, and players are voting daily. Try it If you run a Minecraft server, you can list it free at https://minecraftservers-list.com If you're looking for a server to join, the SMP list and survival list are good starting points. Happy to answe

2026-06-25 原文 →
开发者

Philips Hue’s smart lights are getting a connectivity upgrade

Philips Hue has announced a connectivity upgrade for its Matter-over-Thread-enabled smart bulbs that will allow them to run both Thread and Zigbee at the same time. The change means you can connect compatible Hue bulbs and fixtures directly to a Matter ecosystem - Apple Home, Amazon Alexa, or Google Home - while keeping them linked […]

2026-06-24 原文 →
AI 资讯

fulgur-chart: deterministic SVG/PNG from Chart.js JSON, without JavaScript

A new member has joined the fulgur family. fulgur-chart — a CLI that takes Chart.js v4-compatible JSON specs and renders deterministic SVG/PNG charts. No browser required. https://github.com/fulgur-rs/fulgur-chart Two things make it different: it doesn't spin up a browser, and for a fixed version, font, and rendering options, the same JSON input always produces byte-identical output. This post covers why I built it, a timing coincidence that made me feel like I was on the right track, and how to use it. Why I wanted graphs in PDFs fulgur and fulgur-chart are built around one idea: AI agents should be able to generate documents that look good . There are three steps to that argument. First, Markdown isn't expressive enough. For client-facing reports, plain Markdown often undersells otherwise strong content. Second, visual quality is persuasive. A well-formatted report lands differently than a wall of text. Third — and this is the one I keep coming back to — in many business workflows, PDF carries more institutional weight than a Markdown file or a transient web page . That authority has two dimensions. There's a cognitive one: PDFs read as "serious documents." Proposals, reports, invoices — the format itself signals credibility. And there's a technical one: PDF can support digital signatures, encryption, and archival profiles such as PDF/A. That's the ground flpdf covers, a pure-Rust PDF toolkit modeled on qpdf's workflow. So the goal is always PDF, not HTML, not a web page. That's what fulgur is for. And a polished report needs charts. But Markdown can't draw charts. Which brings me to a problem I already knew was coming: the Chart.js library requires JavaScript to run . fulgur has no browser and no JS runtime, so there was no path to running Chart.js directly. The design choice: no JS engine The obvious alternative was to embed a JavaScript runtime. I could either run Chart.js with a compatible Canvas implementation, or build a JavaScript renderer that consumes Cha

2026-06-24 原文 →
AI 资讯

The emergence of the web data infrastructure layer for AI

AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstructured, which limits its use by AI models. To understand this challenge, consider the foundation of the web itself. The web was not designed…

2026-06-24 原文 →
AI 资讯

Presentation: Rules for Understanding Language Models

Naomi Saphra discusses 5 rules governing language model behavior, breaking down why LLMs act like populations rather than individuals. She explains how tokenization creates strange semantic blind spots and highlights the mechanics of sycophancy, showing how models leverage subtle data associations to match user biases and demographics - even guessing political views based on favorite sports teams. By Naomi Saphra

2026-06-24 原文 →
AI 资讯

Welcome to My Developer Blog

I'm Dr. Mohammad Reza Beheshti, Founder of CyberSiARA. I hold a PhD in Electronic Engineering and Artificial Intelligence and have over 15 years of experience in cybersecurity research and innovation. My passion has always been solving complex security challenges through technology. This journey led me to found CyberSiARA, where we're developing AI-powered bot protection and human verification solutions to help organizations defend against increasingly sophisticated cyber threats. I enjoy combining academic research with practical engineering to create technologies that are both innovative and effective in the real world. Through this blog, I share insights from my research, product development, and experiences building a cybersecurity company, with the aim of helping developers and security professionals stay ahead of emerging threats. I'm always keen to learn, collaborate, and contribute to the global developer and cybersecurity communities.

2026-06-24 原文 →
开发者

Google Home will soon get better at recognizing you

A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Google's expanding its facial recognition feature so that people you've tagged in your Familiar Faces library can continue to be identified when their faces […]

2026-06-24 原文 →