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Should HN add the ability to flag articles as AI-generated? This doesn't have to act as a regular flag, i.e., it won't de-rank the article; it could just show up as an indicator, allowing others (like myself) who don't like reading AI-generated text, to skip it. Open questions: 1. Why is the regular voting system not enough? 2. Should HN change in response to the gen AI era? It has been successful not changing fundamentals.

This is a submission for Weekend Challenge: Passion Edition . During the World Cup , millions of people can watch the same match. But every stadium tries to say something different before kickoff. Sometimes it is belief. Sometimes defiance. Sometimes memory. Sometimes unity. I follow football closely, and some of the moments I remember most are not goals. They are the few seconds before kickoff when the camera pulls wide and an entire stand reveals one message at once. That was the idea behind Tifo Forge . It is an interactive experience that turns a team, a supporter emotion, and a symbol into an animated stadium tifo. Not another match tracker. Not another football chatbot. Tifo Forge turns supporter emotion into a stadium moment. What I Built Tifo Forge asks the user to make three choices: A national team A supporter emotion A visual symbol The emotions are simple on purpose: Believe Defy Unite Remember The symbols include ideas such as lightning, a phoenix, wings, a heart, and dawn. Once those choices are made, Gemini creates a structured design plan. The browser then turns that plan into an animated stadium display. I deliberately avoided uploads, accounts, and long setup screens. I wanted someone to open the page and reach the reveal in under a minute. Three choices are enough to raise the stand. The final result can be replayed, reset, or saved as an SVG poster. Demo Try Tifo Forge: https://tifo-forge.vercel.app/ I kept thinking about those few seconds before kickoff when everyone in the stadium knows something is about to happen, but nobody has seen the full picture yet. That became the interaction: Choose the team ↓ Choose the feeling ↓ Choose the symbol ↓ Raise the tifo When the user clicks Raise the Tifo , the stadium darkens. Rows of cards flip into place. The pattern spreads across the curved stand. The central symbol appears, and the chant locks into position. The user is not asking for a random poster. They are deciding what the stand believes, how it

This is a submission for Weekend Challenge: Passion Edition What I Built Hi! My name is Dave and my background is webmaster/front-end web developer. I have long been curious about creating desktop apps, and I figured this was the perfect opportunity to build one. I also am a novice player of contract bridge, also known as just "bridge", so I figured I would make a bridge app since I am passionate about it. In bridge, many people like to do a double dummy simulation where all 52 cards are visible between the four positions (North, South, East, and West). This allows them to see how many tricks are possible with a given contract and deal. This allows them to improve their declarer (offensive) play as well as their defensive play and improves analytical decision-making. It also allows them to perform an effective post-mortem analysis (i.e., what went wrong). Since this is a weekend challenge, I didn't get the chance to add some more functionality like I wanted. In addition to improving the UI, I'd also like to actually be able to play through different hands and add a scoring mechanism that you see on bridge score calculators online. I think combining that with a way to play full hands would be where I would want to go from here. Demo Code DaveH1981 / double-dummy-bridge-calculator An app for contract bridge players that uses the double dummy method to find the best card play sequence. double-dummy-bridge-calculator An app for contract bridge players that uses the double dummy method to find the best card play sequence. Front end, C++ wrappers, and engine callers are mine. This app connects to the DDS bridge solver written by Bo Haglund, Soren Hein, and Martin Nygren. They reserve all rights as per the Apache 2.0 license. View on GitHub How I Built It My background is mostly front end, so that was pretty straightforward for me. The most difficult part was figuring out how to link to the DDS double dummy bridge engine. I went with Electron and GYP as a wrapper, linking

This is a submission for Weekend Challenge: Passion Edition What I Built Passion Roast is an AI "Passion Judge" that looks at a photo of your fan setup, collection, or hobby corner — plus the name of whatever you're obsessed with — and roasts you for it, scores your devotion out of 100, and hands you a mock diploma for your dedication. The goal was simple: capture the universal feeling of being a little too into something you love, and let an AI genuinely react to real, specific details in your photo instead of giving generic responses. Demo 🔗 Live app: https://passion-roast-production.up.railway.app 🎥 Demo video / GIF: <link here> Try it with a photo of anything you're passionate about — a jersey collection, a gaming setup, houseplants, vinyl records, whatever. Each roast is generated fresh from what's actually in the picture. Code https://github.com/NOVA-X-Code/passion-roast How I Built It Backend: Node.js + Express, with Multer handling in-memory image uploads (no files ever touch disk). Google AI (Gemini API): the entire app is built around a single multimodal call — the uploaded photo (as inlineData ) and the declared passion are sent together to Gemini with a system prompt defining "The Passion Judge" persona. Gemini is instructed to return strict JSON (passion score, mock diploma title, roast, verdict), which the backend parses and validates before sending it to the frontend. Frontend: vanilla HTML/CSS/JS with drag-and-drop upload and a shareable-style result card — no frameworks, no build step. I deliberately kept the stack to a single external API. Rather than chaining multiple services, I focused on getting real value out of Gemini's multimodal reasoning: the roast has to reference actual details Gemini sees in the image, not just repeat the passion name back with generic flattery/insults. Prize Categories Best Use of Google AI weekendchallenge

This is a submission for Weekend Challenge: Passion Edition What I Built HahaNotes is an interactive web application designed to help developers, office workers, and students vent their daily stress by transforming real-world struggles (legacy code at 3 AM, unpaid overtime, sếp hãm, or exam stress) into hilarious, sarcastic AI-voiced banters, complete podcasts, and ready-to-share short videos. The application features a dynamic dialogue between two contrasting AI hosts: Rookie (The Naive Optimist): A starry-eyed beginner who sees the world through rose-colored glasses and speaks in trendy buzzwords. Cynic (The Sarcastic Senior): A battle-hardened veteran who gently (or not so gently) pops Rookie's bubble with witty, dry, and highly relatable tech sarcasm. Users can input their struggles, choose their favorite voices for the hosts, generate structured comedy scripts, chat continuously with the hosts to extend the banter, listen to fully produced podcasts with ambient lo-fi background music/laugh tracks, and export 9:16 vertical short videos with synchronized karaoke captions and visual memes. Demo Video Demo: Website Demo: https://hahanotes.vercel.app/ Code omlttg / hahanotes 🎙️ HahaNotes Banishing Developer Burnout with AI Banter Podcasts & Short Videos Live Demo: hahanotes.vercel.app Weekend Challenge: Submitted for Weekend Challenge: Passion Edition 🌟 Introduction HahaNotes is an interactive web application designed to help developers, office workers, and students vent their daily stress by transforming real-world struggles (e.g. legacy bugs at 3 AM, unpaid overtime, or exam anxiety) into hilarious, sarcastic AI-voiced banters, complete podcasts, and ready-to-share short videos. The application features a dialogue between two contrasting AI hosts: Rookie (The Naive Optimist): A starry-eyed beginner who sees the world through rose-colored glasses, uses corporate buzzwords, and believes completely in hustle culture. Cynic (The Sarcastic Senior): A battle-hardened ve

Hello Hacker News photographers! Yes, this is essentially my take on photo colling and management, similar to the features that Lightroom and Darktable already have. Because I shoot in JPEG+RAW, my workflow looks like me going through my JPEG images and then eliminating the JPEGs I don't like afterwards in addition to their corresponding RAWs. At least on my old MacBook, the JPEGs were faster to load than the RAW photos (probably a combination of CR2, the file my EOS 40D, not having embedded JPE