building @rork | best at making the number go up, prev physics

Joined December 2024
88 Photos and videos
I made a game where a fairy guides you through a magical forest Fable 5 @rork @threejs Some hacks for building games like this: • Generate a real 3D model and animate it (e.g. with Meshy) • Ask an AI agent to create and add ASMR music • Ask the agent to make everything more detailed misty-forest-explorer.rork.a… Let me know if I should share the prompt, it was quite big
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What does it mean: - Now you can import any project into Rork (Lovable, GitHub) - Create a native app (iOS/Android) in 1 click, with all its functionality and design intact - Any change you make on your site syncs to the app automatically We’re entering a new generation of apps and businesses where maintaining multiple platforms is no longer needed. Every change syncs automatically
Mobile development is dead. Rork can now create a mobile app that mirrors your website functionality and keeps it synced with every update. It works with your backend, your database, your APIs.
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37°C in London survival mode today…thank God we have AC at the office
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Dora reposted
The Rork hackathon went down in London this weekend 🇬🇧 Some people shipped their first game ever and by demo we had the whole room playing multiplayer games! Thanks everyone and huge congrats to our winners: $1K cash $5k Rork credits @mohitisraney @sulaonx @purple_tonez @korol_pryanikov Play now: friendsheep-game.rork.app/ See you at the next one? 👀
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For my first ever hackathon, this was unreal. We walked in with a silly sheep idea. We left with a playable game, a mascot, a visual system, a pitch, a trailer direction, a room full of sheep noises… and two first-place wins. Kudos to our team 🫰 @purple_tonez @sulaonx @korol_pryanikov And thank you to everyone @heysaladApp @rork @fotor_com for organising such an amazing AI Gaming Hackathon 🙌 Looking forward to the next one!
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I came to London for VCT Masters Somewhere in the middle of the trip, I entered a one-day AI Gaming Hackathon. We had only a few hours to create a game, package it, pitch it, and make people care. And we won! 🏆 @rork Award — 1st Place 🏆 @fotor_com Award — 1st Place
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This game was built entirely in Rork & Claude Fable 5! fortnight-threejs-game.rork.…
Introducing Rork Games × Claude Fable 5 Rork can now one-shot 3D & 2D games you can play with friends online. Even Fortnite with voice chat. Play on Web and  iPhone. Generate 3D models from text and photos, 2D Assets, sound effects and music.
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AI-built games are no longer an experiment. Rork Fable 5 made it real :) Btw this was built entirely in Rork. Look how detailed and lifelike it is
Introducing Rork Games × Claude Fable 5 Rork can now one-shot 3D & 2D games you can play with friends online. Even Fortnite with voice chat. Play on Web and  iPhone. Generate 3D models from text and photos, 2D Assets, sound effects and music.
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x.com/i/article/206438055391…
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THE FIRST EVER RORK GAMES HACKATHON LANDS IN LONDON ON SATURDAY!
Rork Games Hackathon in London Our very first offline hackathon and we could not be more excited! Build a cool game, demo it to the Rork founders in person (yes, they're coming too!), win prizes and vibe with the builder community Prizes, food, a photo zone and special merch all day Friday, 13 June at 10 AM Spots are limited, join us and bring your friends! luma.com/6bc7rc4k
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Youtube didn’t take the top spot by accident (not Reddit or Wikipedia). I think we’ll see more and more weight on sources that can’t be AI generated, the stuff humans actually film and make by hand. AI generated pages built for SEO are going to stop working very soon. Thats my bet
In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization: 1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically. 2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts. 3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer. 4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things. 5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode ( 2.4%) and ChatGPT ( 2.2%) showed changes indistinguishable from zero. 6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products. 7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating. 8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time. 9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap). 10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.
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been deep in SEO/GEO lately and 2 things from this genuinely shocked me: 1. Building your brand’s visibility on Youtube matters most for LLM ranking now (a year ago it was Reddit and Wiki) 2. Grinding on SEO doesn’t automatically carry over to LLM search anymore. 28% of ChatGPT’s most-cited pages have zero google organic visibility. It’s a separate discovery layer Thanks AI. Brend visibility just got even harder :)
In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization: 1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically. 2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts. 3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer. 4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things. 5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode ( 2.4%) and ChatGPT ( 2.2%) showed changes indistinguishable from zero. 6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products. 7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating. 8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time. 9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap). 10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.
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Dora reposted
In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization: 1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically. 2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts. 3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer. 4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things. 5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode ( 2.4%) and ChatGPT ( 2.2%) showed changes indistinguishable from zero. 6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products. 7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating. 8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time. 9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap). 10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.
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I tried Cursor and Codex today instead of Claude Code in the terminal and honestly I don’t get why people love them so much. They felt way slower, and the UI was pretty frustrating to use. Can someone explain what I’m missing?
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“more honesty about its own progress” and then highlights the one benchmark it’s losing. respect!
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price.
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Generated videos are entering a new era @vargastartup @burninganna
Introducing varg teams Collaborative mode for video generation. ✦ Create videos with AI agents ✦ Share assets and prompts ✦ Fork and remix any video Every video in varg is code - full end-to-end generated videos Built for teams making ads, social media, and in-app content
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Call with my lovely Rork Stars @AlbertoAIcode @PerezHatesAI 🫶🏻
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Bookmark if you’re planning to publish your app to the App Store!
I passed App Store review in 3 attempts here are 5 things I wish I knew before submitting 🧵
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Dora reposted
Introducing Rork AI Cloud Rork can now use any of the 150 models and one-shot almost any AI app, even Higgsfield. Take full control over which model your app uses: a movie maker on Kling 3.0, a photo studio on GPT-Image 2, an AI tutor on GPT-5.5, or a voice assistant on ElevenLabs. No API keys needed.
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Live session in 30 min: How to get your app to the top of App Store search 📍Rork Discord
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