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AI 资讯

Show HN: MiniPCs.zip – Charting the Pareto frontier of Mini PCs

The overall idea is to chart out the thousands of Mini PCs by benchmark and reveal the Pareto Front so you can get the most Compute per Dollar. Definitely a labor of love as I have a number of Mini PCs for my "homelab" (TrueNAS, piHole, Plex, basic stuff). It uses Gemini to extract specs from listings (since they're not often strongly categorized). Quick blog post here: https://luke.zip/posts/pareto-pcs/

2026-06-21 原文 →
AI 资讯

Show HN: Persona.js – a vanilla-JS agent UI library with native WebMCP (MIT)

Hey everyone. My cofounder and I are open sourcing Persona.js ( https://www.persona-chat.dev/ ). It's a VanillaJS library that helps anyone build agentic experiences on the web, without a framework dependency, and full WebMCP support So, why'd we do this? 1) We're super fans of the web and the browser can do a ton today 2) We've seen AI builds be way overly complex because the FE requires a large project within an existing app OR the site wasn't using a framework to begin with If you've been a p

2026-06-21 原文 →
开发者

Show HN: My Windows XP portfolio with working Game Boy and iPod

I posted my portfolio here about a year ago ( https://news.ycombinator.com/item?id=45154609 ) and while there was a big response, it was very mixed! It'll probably be similar this time, but regardless of your thoughts about the concept, I think I've done a pretty good job creating one of the most nostalgic corners of the internet, especially with the latest additions. It'll always be up for debate whether this is an effective way to get noticed as opposed to a standard, quick and easy portfolio,

2026-06-21 原文 →
AI 资讯

TypeForge: Cracking the Code of Your Own Typing Mistakes

This is a submission for the June Solstice Game Jam TypeForge: Turing-Inspired Intelligent Typing Coach What I Built TypeForge is a premium typing coach aligned with Apple's Human Interface Guidelines, built to help typists build speed and accuracy through automated, localized error diagnostics. TypeForge analyzes keystroke performance to isolate specific character transitions that cause delay or accuracy drops, then generates custom, adaptive exercises targeting those weaknesses. Developed for the June Solstice Game Jam, the project celebrates the power of computing and accessibility by turning raw diagnostics into a personalized educational experience. The solstice theme represents the journey of transition: taking a typist from darkness, meaning slow, error-prone typing, into light, meaning fluid, expert flow. Video Demo Live Application https://typing-forge-six.vercel.app/ Code https://github.com/shogun444/typingforge Flowchart Architecture graph TD User([User Typer]) -->|Keystrokes| Trainer[Typing Trainer Core] Trainer -->|Log Errors| Zustand[Zustand Stores] Zustand -->|Query Key Stats| Heatmap[Mistake Heatmap] Zustand -->|Identify Weaknesses| Generator[Drill Generator] Generator -->|Focus Word Pools| Trainer Zustand -->|Calculate Performance| Drawer[Analysis Drawer] How I Built It The application was built using Next.js for structure and routing, Tailwind CSS for premium glassmorphism styling, and Zustand for highly responsive state management. Development was accelerated throughout using Google's agentic AI coding assistant, Antigravity. I focused on clean Apple HIG spacing, micro-interactions, responsive scaling, and high-fidelity audio feedback to create a tactile, premium user experience. I also engineered custom canvas-based timeline sparklines to avoid heavy graphing packages and preserve maximum load performance. # === SYSTEM ARCHITECTURE === # app/ # Next.js pages including Settings and Profile views # stores/ # Zustand stores (typing-store, stats-stor

2026-06-21 原文 →
AI 资讯

The Oracle and the Wolf: I Made Gemini Lose Like a Kid 🐺

This is a submission for the June Solstice Game Jam TL;DR Save the Sun is a kids' deduction game set on the eve of the June solstice: you race Sköll—the wolf who wants to eat the sun—to Sól's one true rune before he catches her and the longest day never dawns. Gemini does two jobs and the engine referees both: it reads the player's questions—typed, or spoken aloud and transcribed—as the Oracle, and it plays the wolf as Sköll. The engine owns the secret and never hands it to Gemini. Everything here is checkable: play a round · watch the demo · anchildress1/save-the-sun . What I Built Blame a board game 📞 The idea started with Dream Phone , a 90s deduction game I played as a kid—you dial pretend phone numbers and narrow down which boy has a secret crush on you. The catch: it needed 2-4 players and fell flat with two. So I rebuilt it as a two-player game à la Guess Who and gave the second seat to Sköll, an AI opponent to race. That became Save the Sun , a deduction race for players aged 8 to 12 against Sköll, the Norse wolf who wants to eat the sun. The story of Sól and Sköll comes straight out of Norse mythology and is one of my all-time favorites. Sól drives the sun-chariot across the sky, and Sköll chases her—every day, all day, forever—until Ragnarök, when he finally catches her and the sun goes out. The game drops you into the night before the solstice with the wolf a stride behind: get the true offering to Sól before he reaches her, or the dawn never comes. Teaching AI to lose 🧩 The hard part of a kids' deduction game is making the AI beatable without handing it the answer. The opponent never sees the secret: a deterministic engine holds it and referees every move, and Gemini only ever plays on top. Sköll's side was easy—he answers in structured JSON—but a loose human question has to be read into something the engine can resolve first, and that reading is the only job I gave the Oracle. Twenty-four runes, one short night 🌙 The round itself is small on purpose. Th

2026-06-21 原文 →