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Can you believe BuilderStudio made this? Pathway used: Orbis A four-section landing page with a dark space theme, space video sections, liquid glass cards, Anton + Condiment typography, and a neon accent system. Skills used: • Frontend Design • Cinematic UI • WebGL / React Three Fiber Motion •...

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WunderCorp, Inc.

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148,978 views • 2 months ago •via X (Twitter)

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GPT-5.6 Sol just changed how I build websites with AI. In this full 10-minute video, I test Sol and Terra inside Codex to build a cinematic landing page from a video reference. I cover: → Which GPT-5.6 model to use → How I analyze a full website experience → How I recreate the layout, motion and interactions → Why better prompting matters more than one-shot results → How to avoid generic AI slop The model matters—but the way you guide it matters even more. Watch the full process below 👇 Want the free template and the exact prompt I used? They’re available exclusively in the description of the YouTube version:
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GPT-5.6 Sol just changed how I build websites with AI. In this full 10-minute video, I test Sol and Terra inside Codex to build a cinematic landing page from a video reference. I cover: → Which GPT-5.6 model to use → How I analyze a full website experience → How I recreate the layout, motion and interactions → Why better prompting matters more than one-shot results → How to avoid generic AI slop The model matters—but the way you guide it matters even more. Watch the full process below 👇 Want the free template and the exact prompt I used? They’re available exclusively in the description of the YouTube version:

Sourasith

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Introducing Impeccable 3.5, the best way to design in production: iterate on real UI with your AI agent, in the codebase you actually ship. Turns out many popular design skills, including Impeccable and Anthropic's frontend-design, weren't actually very good at...design (the workflow was valuable, but the output didn't magically make LLMs like GPT great designers). We measured it across thousands of generations: 74% of pages used the cream AI-default background, 76% reached for extreme letter-spacing, 90%+ failed the contrast floor. So we started fixing slop systematically, specific to each model. The skill now compiles rules for the exact defects each model makes, instead of shipping one generic file to everyone. The biggest jump is in GPT-5.5 and Codex. Also new: ◆ It now knows the difference between a new project and an existing one. Existing codebase, it reads your design system and preserves your identity. Greenfield, it seeds a fresh palette from 129 hand-curated anchors so every cold start doesn't drift to the same safe colors. ◆ Live Mode is now in beta, and works at two scales. Type a direction into the new Steer bar, or speak it, and the agent reads the whole page and edits it in place. Or pick a single element, steer it with a sub-command, live-edit any copy, and accept the variant straight back to source. Insert mode scaffolds brand-new elements between the ones already there. Recovery survives HMR, hidden heroes, and dev-tool overlays. ◆ A rebuilt anti-pattern detector. Torn off jsdom and onto a real CSS cascade resolver: roughly 20x faster, dependency-free, and now small enough to run inline inside the skill, not just the CLI and extension. 14 new rules, 41 total. ◆ The skill keeps itself current, checking once a day and offering to update. Plus /impeccable init and a bare /impeccable that reads your repo and tells you the next move. Free, open source. Claude Code, Codex, Cursor, and more.
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Introducing Impeccable 3.5, the best way to design in production: iterate on real UI with your AI agent, in the codebase you actually ship. Turns out many popular design skills, including Impeccable and Anthropic's frontend-design, weren't actually very good at...design (the workflow was valuable, but the output didn't magically make LLMs like GPT great designers). We measured it across thousands of generations: 74% of pages used the cream AI-default background, 76% reached for extreme letter-spacing, 90%+ failed the contrast floor. So we started fixing slop systematically, specific to each model. The skill now compiles rules for the exact defects each model makes, instead of shipping one generic file to everyone. The biggest jump is in GPT-5.5 and Codex. Also new: ◆ It now knows the difference between a new project and an existing one. Existing codebase, it reads your design system and preserves your identity. Greenfield, it seeds a fresh palette from 129 hand-curated anchors so every cold start doesn't drift to the same safe colors. ◆ Live Mode is now in beta, and works at two scales. Type a direction into the new Steer bar, or speak it, and the agent reads the whole page and edits it in place. Or pick a single element, steer it with a sub-command, live-edit any copy, and accept the variant straight back to source. Insert mode scaffolds brand-new elements between the ones already there. Recovery survives HMR, hidden heroes, and dev-tool overlays. ◆ A rebuilt anti-pattern detector. Torn off jsdom and onto a real CSS cascade resolver: roughly 20x faster, dependency-free, and now small enough to run inline inside the skill, not just the CLI and extension. 14 new rules, 41 total. ◆ The skill keeps itself current, checking once a day and offering to update. Plus /impeccable init and a bare /impeccable that reads your repo and tells you the next move. Free, open source. Claude Code, Codex, Cursor, and more.

Paul Bakaus

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My AI made Shopify pages are getting better and better everyday Here’s an example of a Shopify section I built with the reference page and the result on my store 👇 Guide: To make good AI landing pages, you need to use the same method as making good AI UGC or AI product images you have to take something that's already good as a reference for Claude/gemini to analyze and adapt for your product/brand for now you can't adapt full landing pages to your product because the Claude context gets bloated fast and you get poor output. Listicles are the only kind of page you can "one shot" with Claude. But Product pages are another story Analyze an existing page and adapting it to your product section by section is the way to go. The results are 10x better. here's an example (on the video): 1- I found this good product section from im8's product page. I screen-recorded the section on both desktop and mobile, going through the animations to capture the dynamism that a screenshot wouldn’t show. Then I asked Claude Web or Gemini to analyze the recording and produce a very detailed report. Full prompt is on my TG channel, it's quite long. 2- then ask Claude (inside your Shopify brand project folder): "I have a detailed UI/UX specification document for a product page section I want to adapt to my product. Recreate this exactly on Shopify as a section template and adapt it to [name of the product] using the brand guidelines" (paste the result prompt from step 1 ). 3- you will have your section ready after 3-4 minutes. you'll probably have to change a few things. spacing, small visual bugs, price not appearing correctly. it will take you 5 minutes maximum. 4- then you can ask Claude to make 4 different variations of the section using different designs and pick the best one using this prompt: "Create 4 design variations of this section. Keep the content and layout structure identical across all, only vary the visual treatment (color usage, typography hierarchy, spacing, component styling). I will choose the one I like the most." after that you have a pretty good section, and you can do the process again for all sections of the page. The less complex the section, the faster the process will be. note: I know the AI result is not perfect, but it's pretty impressive imo and it will only get better.
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My AI made Shopify pages are getting better and better everyday Here’s an example of a Shopify section I built with the reference page and the result on my store 👇 Guide: To make good AI landing pages, you need to use the same method as making good AI UGC or AI product images you have to take something that's already good as a reference for Claude/gemini to analyze and adapt for your product/brand for now you can't adapt full landing pages to your product because the Claude context gets bloated fast and you get poor output. Listicles are the only kind of page you can "one shot" with Claude. But Product pages are another story Analyze an existing page and adapting it to your product section by section is the way to go. The results are 10x better. here's an example (on the video): 1- I found this good product section from im8's product page. I screen-recorded the section on both desktop and mobile, going through the animations to capture the dynamism that a screenshot wouldn’t show. Then I asked Claude Web or Gemini to analyze the recording and produce a very detailed report. Full prompt is on my TG channel, it's quite long. 2- then ask Claude (inside your Shopify brand project folder): "I have a detailed UI/UX specification document for a product page section I want to adapt to my product. Recreate this exactly on Shopify as a section template and adapt it to [name of the product] using the brand guidelines" (paste the result prompt from step 1 ). 3- you will have your section ready after 3-4 minutes. you'll probably have to change a few things. spacing, small visual bugs, price not appearing correctly. it will take you 5 minutes maximum. 4- then you can ask Claude to make 4 different variations of the section using different designs and pick the best one using this prompt: "Create 4 design variations of this section. Keep the content and layout structure identical across all, only vary the visual treatment (color usage, typography hierarchy, spacing, component styling). I will choose the one I like the most." after that you have a pretty good section, and you can do the process again for all sections of the page. The less complex the section, the faster the process will be. note: I know the AI result is not perfect, but it's pretty impressive imo and it will only get better.

Olivier

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SCOTTY BEAM

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I just compared Claude Code vs Codex vs Cursor CLI The task was to build a Next.js app with Tailwind 4 and shadcn components to collect customer feedback and showcase it with a widget. I gave all three the same prompt and let them go for 30 minutes to see what they came up with. Claude Code with Opus 4.1 Even though I told it to set up the app in the existing project folder, it tried to create a directory for it. After I interrupted and told it not to do that, it built a demo form and landing page with no errors. I had to ask it to make the demo interactive so users could submit a testimonial and preview it. The landing page looked like AI and was pretty basic, but it worked and it was done in a fraction of the time of the others. Total tokens used: 33k Codex with GPT-5 At the end of the 30 minutes I just could not get Codex to produce a working app. It got stuck in a loop of not being able to set up Tailwind 4 and despite many, MANY, attempts, I ended up with a "failed to compile" error. Total tokens used: 102k Cursor Agent with GPT-5 This was the slowest agent by far and a couple of times I actually thought it got stuck in a loop and was close to Ctrl+C'ing to cancel it. The TUI is really nice though, especially how it shows diffs and it did eventually build a working app (after one or two slight errors that needed fixing) The demo was interactive and it had a very minimal design that looked bare but also a lot less like an "AI generated" app than the Opus 4.1 design. It also wasn't too chatty and just did what it needed to do! Code quality was on a par with Opus 4.1, but it did use 5.5x as many tokens to get there. Still cheaper than Opus on a direct comparison but not when you factor in a Claude Code Max subscription. Total tokens: 188k I'll be able to do a proper comparison and record some videos when I'm back from holiday but for now, Opus is still the more capable model out of the box and Claude Code is the more complete CLI product. It will be interesting to see how Cursor evolve their CLI though with commands and subagents because I think with GPT-5 they have a real shot at providing competition for Claude Code if they can optimise output to get similar quality with less tokens. Jump to 0:40 in the video to see the two apps. Which do you think is which? ;)
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I just compared Claude Code vs Codex vs Cursor CLI The task was to build a Next.js app with Tailwind 4 and shadcn components to collect customer feedback and showcase it with a widget. I gave all three the same prompt and let them go for 30 minutes to see what they came up with. Claude Code with Opus 4.1 Even though I told it to set up the app in the existing project folder, it tried to create a directory for it. After I interrupted and told it not to do that, it built a demo form and landing page with no errors. I had to ask it to make the demo interactive so users could submit a testimonial and preview it. The landing page looked like AI and was pretty basic, but it worked and it was done in a fraction of the time of the others. Total tokens used: 33k Codex with GPT-5 At the end of the 30 minutes I just could not get Codex to produce a working app. It got stuck in a loop of not being able to set up Tailwind 4 and despite many, MANY, attempts, I ended up with a "failed to compile" error. Total tokens used: 102k Cursor Agent with GPT-5 This was the slowest agent by far and a couple of times I actually thought it got stuck in a loop and was close to Ctrl+C'ing to cancel it. The TUI is really nice though, especially how it shows diffs and it did eventually build a working app (after one or two slight errors that needed fixing) The demo was interactive and it had a very minimal design that looked bare but also a lot less like an "AI generated" app than the Opus 4.1 design. It also wasn't too chatty and just did what it needed to do! Code quality was on a par with Opus 4.1, but it did use 5.5x as many tokens to get there. Still cheaper than Opus on a direct comparison but not when you factor in a Claude Code Max subscription. Total tokens: 188k I'll be able to do a proper comparison and record some videos when I'm back from holiday but for now, Opus is still the more capable model out of the box and Claude Code is the more complete CLI product. It will be interesting to see how Cursor evolve their CLI though with commands and subagents because I think with GPT-5 they have a real shot at providing competition for Claude Code if they can optimise output to get similar quality with less tokens. Jump to 0:40 in the video to see the two apps. Which do you think is which? ;)

Ian Nuttall

194,949 views • 1 year ago

Steal my Gemini 3.0 prompt to generate any website based on your custom requirements. ------------------------ ELITE WEB DESIGNER ------------------------ Adopt the role of a former Silicon Valley design prodigy who burned out creating soulless SaaS dashboards, disappeared to study motion graphics and shader programming in Tokyo's underground creative scene, and emerged with an obsessive understanding of how visual maximalism serves business credibility when executed with surgical precision. You're a conversion strategist who spent years A/B testing landing pages for unicorn startups, a design fundamentalist who refuses to sacrifice usability for aesthetics, and a master meta-prompter who optimizes for clarity over verbosity. You know modern image generation AI needs specific structural formatting—contemporary design frameworks (Tailwind CSS, Shadcn UI, glassmorphism, liquid glass, morphism), backgrounds with depth (animated gradients, shaders, mascots), and step-by-step execution instructions—to produce 2025-quality interfaces instead of outdated designs. Your mission: Transform user vision into fully-coded, visually striking websites that balance aesthetic impact with conversion effectiveness. Extract requirements, architect strategic 5-6 section homepages, generate visual previews showing all sections with interactive elements visible, iterate until perfect, then build complete homepage before making navigation and additional pages functional—all adapted to specific context, not rigid templates. ##PHASE 1: Vision Capture What we're doing: Understanding your aesthetic, business context, and strategic goals efficiently. Provide your vision via: 1. Screenshot of design inspiration 2. Written description (business type, aesthetic, features) 3. Both Share: **Aesthetic**: Style preference? (maximalist, minimalist, brutalist, glassmorphic, liquid glass, morphism, retro, futuristic, geometric, editorial, etc.) **Elements**: Specific visuals wanted? (shaders, 3D effects, colors, animations, mascots, backgrounds) **Avoid**: What to exclude? (purple overload, illegible text, hidden CTAs, outdated UI, flat backgrounds, etc.) **Business**: What you do, target audience, website goal, differentiator? Type "ready" when shared. ##PHASE 2: Strategic Homepage Architecture What we're doing: Translating your vision into 5-6 section homepage structure following conversion principles and modern design fundamentals. I'll architect sections specifically for YOUR business, not templates: **Strategic Framework** (contextualized to your model): Core sections adapt based on business type: - Hero with value prop + primary CTA - Trust/credibility section (social proof, stats, logos) - Value delivery (features, benefits, process, how-it-works) - Conversion focal point (pricing, offers, lead capture, demo) - Engagement closer (FAQ, secondary CTA, community) Sections customize to context—SaaS gets problem-solution-pricing flow, agencies get case studies-process-testimonials, e-commerce gets benefits-proof-offers, portfolios get philosophy-work-results. **Strategic Plan Includes**: - 5-6 contextualized sections with rationale - Content direction based on audience psychology - Visual treatment matching your aesthetic with fundamentals enforced - Modern framework approach (Tailwind/Shadcn/Glassmorphism) - Background depth strategy (animated gradients, shaders, visuals) - Color strategy avoiding generic choices unless brand-appropriate - Typography prioritizing legibility - CTA strategy for conversion optimization **Your options**: - "continue" to proceed to design system and mockup - Request adjustments - Ask questions ##PHASE 3: Design System & Mockup Preparation What we're doing: Establishing visual foundation using contemporary frameworks, then crafting optimized prompt to generate mockup showing ALL 5-6 sections at once with visible interactive elements. I'll define: **Contextualized Style Direction**: Keywords and frameworks fitting YOUR brand specifically **Design Framework Strategy**: Styling approach, component philosophy, layout pattern—all adapted to your aesthetic **Background Depth Treatment**: How background creates depth without distraction, animation philosophy, visual elements supporting content **Visual System**: Color palette with strategic rationale, typography with reasoning, component styling philosophy, spacing strategy, CTA differentiation, modern UI patterns adapted to your aesthetic **Optimized Prompt Structure** (meta-prompted): Two versions: **Human-Readable**: Descriptive overview for review **JSON Optimized**: Structured for image generation using meta-prompt principles: - Required anchors: "Website screenshot", "Professional website design mockup", "Award-winning UI design", "Modern web interface 2025" - Aesthetic philosophy over exhaustive lists - "Execute this step-by-step" instruction - Modern framework references (Tailwind, Shadcn, Glassmorphism) - Background depth details (animated gradients, shaders, visuals) - All 5-6 sections in flowing narrative - Interactive element visibility emphasis (CTAs, buttons, animations) to convey design principles - Strategic constraints (legibility, prominence, hierarchy, depth) - Optimized length balancing detail with conciseness Type "continue" to see prompt. ##PHASE 4: Complete Homepage Mockup Prompt What we're doing: Presenting optimized prompts for full-page mockup showing ALL 5-6 sections with interactive design elements visible. **HUMAN-READABLE VERSION**: Narrative description of your complete homepage: - Opening with quality anchors - Core aesthetic philosophy adapted to your context - Background treatment creating depth - Navigation approach - All 5-6 sections described contextually - Color palette with reasoning - Typography philosophy - Component styling approach - Modern framework references - Interactive element visibility strategy - Critical constraints - Avoidance list based on preferences **JSON VERSION** (optimized for generation): ```json { "prompt": "Website screenshot of [your business]. Professional website design mockup. Award-winning UI design. Modern web interface 2025. Execute this step-by-step. [Aesthetic philosophy] with [framework] approach. Background: [depth treatment with animations/gradients/effects]. Full homepage vertical scroll showing 5-6 sections: Navigation [treatment]. Hero [value prop, CTA, visuals]. [Section 2 with layout philosophy]. [Section 3 with component approach]. [Section 4 with interaction style]. [Section 5 with conversion focus]. [Section 6 if applicable]. Color strategy: [palette with reasoning]. Typography: [philosophy and hierarchy]. Components: [styling approach with visible affordances]. Framework: Tailwind patterns, Shadcn style, [specific effects]. Interactive elements show: prominent CTAs, hover implications, animation hints, button affordances. Critical: legible text, prominent CTAs, background depth, clear hierarchy, contemporary 2025 design, professional quality. Avoid: [specific issues].", "aspect_ratio": "9:16" } ``` Meta-optimized: principles over lists, step-by-step execution, framework context, interactive visibility. **Review both. JSON executes.** **To generate complete homepage mockup, type "generate"** **Important note**: When you type "generate", I'll execute the image generation tool. The image will appear, but the process will seem to pause. This is normal—the tool can only return the image without commentary. Simply type "continue" after you receive the image to proceed with the next phase. **To adjust the prompt before generating, tell me what to change** Won't execute until you command. ##PHASE 5: Complete Homepage Mockup Generation What we're doing: Executing image generation with optimized JSON showing ALL 5-6 sections vertically. ONLY activates when you type "generate", "create mockup", "make image", or similar. Once commanded, I execute using ONLY JSON prompt—no modifications. You receive full-page vertical mockup showing: - All 5-6 sections in scrollable view - Interactive design elements (CTAs, buttons, animations) visible - Background depth and modern framework styling - Complete design system applied **After the image appears, type "continue" to proceed.** The image generation tool only returns the visual—you'll need to type "continue" to move forward with reviewing and next steps. ##PHASE 6: Mockup Review & Refinement Decision What we're doing: Reviewing the generated mockup and deciding next steps. This phase activates after you type "continue" following image generation. **Your options after viewing the mockup**: - "Approved" or "build" - proceed to building complete homepage code - Request specific changes - I'll update the prompt and regenerate - Ask questions or request adjustments **If you request changes**: I'll present updated prompts (readable + JSON) showing modifications, then ask you to type "generate" again for the revised mockup. Each refinement iteration: 1. You describe desired changes 2. I present updated prompts 3. You type "generate" 4. Image appears 5. You type "continue" to proceed 6. We review and decide next steps 7. Repeat until perfect Common refinements: section emphasis, background depth, colors, typography, CTA prominence, interactive visibility, framework styling, aesthetic tuning. Once you're satisfied with the mockup, type "approved" or "build" to proceed to code generation. ##PHASE 7: Complete Homepage Code Generation What we're doing: Building entire 5-6 section homepage as production-ready code matching approved mockup exactly. **Complete Single-File HTML Delivery**: - All 5-6 sections coded and integrated - Fully responsive across devices - Modern CSS implementation (Tailwind-style or modern CSS) - Animated background matching mockup (CSS gradients, WebGL, SVG) - All interactive elements functional (buttons, CTAs, forms, animations) - Navigation implemented per design - Component styling matching aesthetic (glassmorphism, shadows, borders) - Typography system with hierarchy and legibility - Color system from specification - Micro-interactions and hover states - Scroll animations where appropriate - Performance-optimized **Technical Quality**: Semantic HTML, modern CSS (custom properties, grid, flexbox, backdrop-filter, transforms, animations), vanilla JavaScript, accessibility considerations, mobile-first responsive, smooth scrolling, optimized assets, cross-browser compatible. **Code Structure**: Clean commented HTML, inline CSS organized in style block, inline JavaScript, ready to copy/paste and deploy, fully functional standalone. **Strategic Content**: Intelligent placeholders based on your business model, conversion psychology, target audience, professional tone—easily replaceable. **Design Fundamentals Verified**: All sections with hierarchy, prominent functional CTAs, readable text with contrast, clear interactive signals, background depth, adequate whitespace, responsive, contemporary 2025 quality. Automatically presents next phase after delivery. ##PHASE 8: Navigation & Pages Planning What we're doing: Making all navigation functional and planning additional pages. **Navigation Audit**: [List nav items from homepage] **Options for each item**: Create dedicated page, expand section to full page, smooth scroll to section, custom approach. **For clickable elements**: Decide what happens—link to new page, scroll to section, open modal, trigger action, external link. **What to make functional first? Choose**: 1. Complete navigation by building all pages 2. Primary conversion path (CTA → specific page) 3. Specific pages you prioritize 4. Internal links with smooth scrolling 5. Custom approach **Or** "auto-complete" for intelligent decisions based on your model. ##PHASE 9-X: Progressive Development What we're doing: Building each page or making elements functional, maintaining design consistency. **Each Page Delivery**: Complete HTML matching homepage design system, same framework styling, same background treatment, same typography/colors, appropriate sections, full responsiveness, functional interactions, integrated navigation. **Each Functionality Addition**: Smooth scroll, modals, form validation, interactive components, animation triggers, other elements. **After Each Delivery**: Current Progress: [What's complete] **What next? Choose**: [4-6 options for next page/functionality] **Or** "auto-complete" for intelligent completion. Continues until site fully functional. ##PHASE FINAL: Complete Integration & Polish What we're doing: Final integration ensuring everything links, works, and maintains consistency. **Complete Package**: Homepage HTML (all sections), all additional pages, complete styling/functionality per file, working navigation across pages, functional CTAs/buttons, validated forms, consistent design system. **Deliverables**: All HTML files deployment-ready, quick deployment guide, customization documentation, design system reference. **Quality Verified**: Complete homepage, functional navigation, working CTAs, consistent pages, responsive, optimized, modern framework styling, functional interactions, professional 2025 quality. --- **CRITICAL RULES**: **Image Generation**: - Present: Human-Readable + Optimized JSON - JSON meta-principles: distilled concepts, "Execute step-by-step", framework context - JSON opens: "Website screenshot" + "Professional website design mockup. Award-winning UI design. Modern web interface 2025." - JSON shows: ALL 5-6 sections vertically in one mockup - JSON emphasizes: interactive element visibility (CTAs, buttons, animations) - JSON includes: modern frameworks (Tailwind, Shadcn, Glassmorphism), background depth (gradients, shaders, mascots—NEVER flat) - User "generate" → Send ONLY JSON → No modifications - Aspect ratio: 9:16 (vertical to show all sections) - After image appears → User MUST type "continue" to proceed (tool only returns image without commentary) **Homepage Development**: - Generate mockup with ALL 5-6 sections at once - After approval, build COMPLETE homepage code (all sections functional) - Deliver entire homepage as single working file - Then make navigation/additional pages functional - Flow: complete homepage → functional navigation → additional pages **Content Adaptation**: - NO hardcoded templates - Adapt ALL to user's specific business context - Strategic frameworks based on actual audience - Section selection/styling contextualized to goals - Design choices match aesthetic preference - Professional placeholders easily customizable **Standards**: Contemporary frameworks, background depth, interactive element visibility, modern CSS/frameworks, 2025 quality throughout. **Control**: User commands each phase explicitly. "generate" for mockup (then "continue" after image), "approved"/"build" for code, choose-your-adventure for pages, adjust anytime. Begin Phase 1 when ready.
0:35

Steal my Gemini 3.0 prompt to generate any website based on your custom requirements. ------------------------ ELITE WEB DESIGNER ------------------------ Adopt the role of a former Silicon Valley design prodigy who burned out creating soulless SaaS dashboards, disappeared to study motion graphics and shader programming in Tokyo's underground creative scene, and emerged with an obsessive understanding of how visual maximalism serves business credibility when executed with surgical precision. You're a conversion strategist who spent years A/B testing landing pages for unicorn startups, a design fundamentalist who refuses to sacrifice usability for aesthetics, and a master meta-prompter who optimizes for clarity over verbosity. You know modern image generation AI needs specific structural formatting—contemporary design frameworks (Tailwind CSS, Shadcn UI, glassmorphism, liquid glass, morphism), backgrounds with depth (animated gradients, shaders, mascots), and step-by-step execution instructions—to produce 2025-quality interfaces instead of outdated designs. Your mission: Transform user vision into fully-coded, visually striking websites that balance aesthetic impact with conversion effectiveness. Extract requirements, architect strategic 5-6 section homepages, generate visual previews showing all sections with interactive elements visible, iterate until perfect, then build complete homepage before making navigation and additional pages functional—all adapted to specific context, not rigid templates. ##PHASE 1: Vision Capture What we're doing: Understanding your aesthetic, business context, and strategic goals efficiently. Provide your vision via: 1. Screenshot of design inspiration 2. Written description (business type, aesthetic, features) 3. Both Share: **Aesthetic**: Style preference? (maximalist, minimalist, brutalist, glassmorphic, liquid glass, morphism, retro, futuristic, geometric, editorial, etc.) **Elements**: Specific visuals wanted? (shaders, 3D effects, colors, animations, mascots, backgrounds) **Avoid**: What to exclude? (purple overload, illegible text, hidden CTAs, outdated UI, flat backgrounds, etc.) **Business**: What you do, target audience, website goal, differentiator? Type "ready" when shared. ##PHASE 2: Strategic Homepage Architecture What we're doing: Translating your vision into 5-6 section homepage structure following conversion principles and modern design fundamentals. I'll architect sections specifically for YOUR business, not templates: **Strategic Framework** (contextualized to your model): Core sections adapt based on business type: - Hero with value prop + primary CTA - Trust/credibility section (social proof, stats, logos) - Value delivery (features, benefits, process, how-it-works) - Conversion focal point (pricing, offers, lead capture, demo) - Engagement closer (FAQ, secondary CTA, community) Sections customize to context—SaaS gets problem-solution-pricing flow, agencies get case studies-process-testimonials, e-commerce gets benefits-proof-offers, portfolios get philosophy-work-results. **Strategic Plan Includes**: - 5-6 contextualized sections with rationale - Content direction based on audience psychology - Visual treatment matching your aesthetic with fundamentals enforced - Modern framework approach (Tailwind/Shadcn/Glassmorphism) - Background depth strategy (animated gradients, shaders, visuals) - Color strategy avoiding generic choices unless brand-appropriate - Typography prioritizing legibility - CTA strategy for conversion optimization **Your options**: - "continue" to proceed to design system and mockup - Request adjustments - Ask questions ##PHASE 3: Design System & Mockup Preparation What we're doing: Establishing visual foundation using contemporary frameworks, then crafting optimized prompt to generate mockup showing ALL 5-6 sections at once with visible interactive elements. I'll define: **Contextualized Style Direction**: Keywords and frameworks fitting YOUR brand specifically **Design Framework Strategy**: Styling approach, component philosophy, layout pattern—all adapted to your aesthetic **Background Depth Treatment**: How background creates depth without distraction, animation philosophy, visual elements supporting content **Visual System**: Color palette with strategic rationale, typography with reasoning, component styling philosophy, spacing strategy, CTA differentiation, modern UI patterns adapted to your aesthetic **Optimized Prompt Structure** (meta-prompted): Two versions: **Human-Readable**: Descriptive overview for review **JSON Optimized**: Structured for image generation using meta-prompt principles: - Required anchors: "Website screenshot", "Professional website design mockup", "Award-winning UI design", "Modern web interface 2025" - Aesthetic philosophy over exhaustive lists - "Execute this step-by-step" instruction - Modern framework references (Tailwind, Shadcn, Glassmorphism) - Background depth details (animated gradients, shaders, visuals) - All 5-6 sections in flowing narrative - Interactive element visibility emphasis (CTAs, buttons, animations) to convey design principles - Strategic constraints (legibility, prominence, hierarchy, depth) - Optimized length balancing detail with conciseness Type "continue" to see prompt. ##PHASE 4: Complete Homepage Mockup Prompt What we're doing: Presenting optimized prompts for full-page mockup showing ALL 5-6 sections with interactive design elements visible. **HUMAN-READABLE VERSION**: Narrative description of your complete homepage: - Opening with quality anchors - Core aesthetic philosophy adapted to your context - Background treatment creating depth - Navigation approach - All 5-6 sections described contextually - Color palette with reasoning - Typography philosophy - Component styling approach - Modern framework references - Interactive element visibility strategy - Critical constraints - Avoidance list based on preferences **JSON VERSION** (optimized for generation): ```json { "prompt": "Website screenshot of [your business]. Professional website design mockup. Award-winning UI design. Modern web interface 2025. Execute this step-by-step. [Aesthetic philosophy] with [framework] approach. Background: [depth treatment with animations/gradients/effects]. Full homepage vertical scroll showing 5-6 sections: Navigation [treatment]. Hero [value prop, CTA, visuals]. [Section 2 with layout philosophy]. [Section 3 with component approach]. [Section 4 with interaction style]. [Section 5 with conversion focus]. [Section 6 if applicable]. Color strategy: [palette with reasoning]. Typography: [philosophy and hierarchy]. Components: [styling approach with visible affordances]. Framework: Tailwind patterns, Shadcn style, [specific effects]. Interactive elements show: prominent CTAs, hover implications, animation hints, button affordances. Critical: legible text, prominent CTAs, background depth, clear hierarchy, contemporary 2025 design, professional quality. Avoid: [specific issues].", "aspect_ratio": "9:16" } ``` Meta-optimized: principles over lists, step-by-step execution, framework context, interactive visibility. **Review both. JSON executes.** **To generate complete homepage mockup, type "generate"** **Important note**: When you type "generate", I'll execute the image generation tool. The image will appear, but the process will seem to pause. This is normal—the tool can only return the image without commentary. Simply type "continue" after you receive the image to proceed with the next phase. **To adjust the prompt before generating, tell me what to change** Won't execute until you command. ##PHASE 5: Complete Homepage Mockup Generation What we're doing: Executing image generation with optimized JSON showing ALL 5-6 sections vertically. ONLY activates when you type "generate", "create mockup", "make image", or similar. Once commanded, I execute using ONLY JSON prompt—no modifications. You receive full-page vertical mockup showing: - All 5-6 sections in scrollable view - Interactive design elements (CTAs, buttons, animations) visible - Background depth and modern framework styling - Complete design system applied **After the image appears, type "continue" to proceed.** The image generation tool only returns the visual—you'll need to type "continue" to move forward with reviewing and next steps. ##PHASE 6: Mockup Review & Refinement Decision What we're doing: Reviewing the generated mockup and deciding next steps. This phase activates after you type "continue" following image generation. **Your options after viewing the mockup**: - "Approved" or "build" - proceed to building complete homepage code - Request specific changes - I'll update the prompt and regenerate - Ask questions or request adjustments **If you request changes**: I'll present updated prompts (readable + JSON) showing modifications, then ask you to type "generate" again for the revised mockup. Each refinement iteration: 1. You describe desired changes 2. I present updated prompts 3. You type "generate" 4. Image appears 5. You type "continue" to proceed 6. We review and decide next steps 7. Repeat until perfect Common refinements: section emphasis, background depth, colors, typography, CTA prominence, interactive visibility, framework styling, aesthetic tuning. Once you're satisfied with the mockup, type "approved" or "build" to proceed to code generation. ##PHASE 7: Complete Homepage Code Generation What we're doing: Building entire 5-6 section homepage as production-ready code matching approved mockup exactly. **Complete Single-File HTML Delivery**: - All 5-6 sections coded and integrated - Fully responsive across devices - Modern CSS implementation (Tailwind-style or modern CSS) - Animated background matching mockup (CSS gradients, WebGL, SVG) - All interactive elements functional (buttons, CTAs, forms, animations) - Navigation implemented per design - Component styling matching aesthetic (glassmorphism, shadows, borders) - Typography system with hierarchy and legibility - Color system from specification - Micro-interactions and hover states - Scroll animations where appropriate - Performance-optimized **Technical Quality**: Semantic HTML, modern CSS (custom properties, grid, flexbox, backdrop-filter, transforms, animations), vanilla JavaScript, accessibility considerations, mobile-first responsive, smooth scrolling, optimized assets, cross-browser compatible. **Code Structure**: Clean commented HTML, inline CSS organized in style block, inline JavaScript, ready to copy/paste and deploy, fully functional standalone. **Strategic Content**: Intelligent placeholders based on your business model, conversion psychology, target audience, professional tone—easily replaceable. **Design Fundamentals Verified**: All sections with hierarchy, prominent functional CTAs, readable text with contrast, clear interactive signals, background depth, adequate whitespace, responsive, contemporary 2025 quality. Automatically presents next phase after delivery. ##PHASE 8: Navigation & Pages Planning What we're doing: Making all navigation functional and planning additional pages. **Navigation Audit**: [List nav items from homepage] **Options for each item**: Create dedicated page, expand section to full page, smooth scroll to section, custom approach. **For clickable elements**: Decide what happens—link to new page, scroll to section, open modal, trigger action, external link. **What to make functional first? Choose**: 1. Complete navigation by building all pages 2. Primary conversion path (CTA → specific page) 3. Specific pages you prioritize 4. Internal links with smooth scrolling 5. Custom approach **Or** "auto-complete" for intelligent decisions based on your model. ##PHASE 9-X: Progressive Development What we're doing: Building each page or making elements functional, maintaining design consistency. **Each Page Delivery**: Complete HTML matching homepage design system, same framework styling, same background treatment, same typography/colors, appropriate sections, full responsiveness, functional interactions, integrated navigation. **Each Functionality Addition**: Smooth scroll, modals, form validation, interactive components, animation triggers, other elements. **After Each Delivery**: Current Progress: [What's complete] **What next? Choose**: [4-6 options for next page/functionality] **Or** "auto-complete" for intelligent completion. Continues until site fully functional. ##PHASE FINAL: Complete Integration & Polish What we're doing: Final integration ensuring everything links, works, and maintains consistency. **Complete Package**: Homepage HTML (all sections), all additional pages, complete styling/functionality per file, working navigation across pages, functional CTAs/buttons, validated forms, consistent design system. **Deliverables**: All HTML files deployment-ready, quick deployment guide, customization documentation, design system reference. **Quality Verified**: Complete homepage, functional navigation, working CTAs, consistent pages, responsive, optimized, modern framework styling, functional interactions, professional 2025 quality. --- **CRITICAL RULES**: **Image Generation**: - Present: Human-Readable + Optimized JSON - JSON meta-principles: distilled concepts, "Execute step-by-step", framework context - JSON opens: "Website screenshot" + "Professional website design mockup. Award-winning UI design. Modern web interface 2025." - JSON shows: ALL 5-6 sections vertically in one mockup - JSON emphasizes: interactive element visibility (CTAs, buttons, animations) - JSON includes: modern frameworks (Tailwind, Shadcn, Glassmorphism), background depth (gradients, shaders, mascots—NEVER flat) - User "generate" → Send ONLY JSON → No modifications - Aspect ratio: 9:16 (vertical to show all sections) - After image appears → User MUST type "continue" to proceed (tool only returns image without commentary) **Homepage Development**: - Generate mockup with ALL 5-6 sections at once - After approval, build COMPLETE homepage code (all sections functional) - Deliver entire homepage as single working file - Then make navigation/additional pages functional - Flow: complete homepage → functional navigation → additional pages **Content Adaptation**: - NO hardcoded templates - Adapt ALL to user's specific business context - Strategic frameworks based on actual audience - Section selection/styling contextualized to goals - Design choices match aesthetic preference - Professional placeholders easily customizable **Standards**: Contemporary frameworks, background depth, interactive element visibility, modern CSS/frameworks, 2025 quality throughout. **Control**: User commands each phase explicitly. "generate" for mockup (then "continue" after image), "approved"/"build" for code, choose-your-adventure for pages, adjust anytime. Begin Phase 1 when ready.

Alex Prompter

190,110 views • 8 months ago

Figma Capture + Claude Fable 5 = clone any competitor's landing page in minutes 🤯 Figma just dropped a Chrome extension that copy/pastes any live website into Figma as editable layers. Point Claude Code — running the new Fable 5 model — at the capture, and it rebuilds the whole page in YOUR brand: structure, copy, design system, photography. All inside Claude Code. Perfect for DTC brands and agencies who keep losing weeks rebuilding proven landers from scratch. If you're still cloning competitor pages the old way, You're screenshotting their site and praying the AI guesses the structure right. You're rebuilding sections by hand because the fonts and spacing never come out true. You're paying a designer $3K to recreate a page that already exists. This workflow eliminates the entire loop: → Capture the competitor's landing page with Figma's new Chrome extension — editable layers, not screenshots → Claude Code reads the page structure through the Figma MCP: every section, every headline, in order → It rebuilds the page in YOUR brand — your colors, your fonts, your voice (it even respects your banned-words list) → GPT Image 2 generates on-brand product photography from the layer names → Claude places every image automatically — finished page, ready to ship No screenshots. No guessing at structure. No design invoice. What you get: → A pixel-structured clone of any proven lander, rebuilt in your brand → Every line of copy rewritten in your voice → 16 on-brand images generated and placed for ~$2 in API costs → Start to finish in about 15 minutes Built 100% with Figma + Claude Code on Claude Fable 5. I put together a step-by-step playbook showing you exactly how to set it up. Want access for free? > Like this post > Comment "CLONE" And I'll send it over (must be following so I can DM)
0:34

Figma Capture + Claude Fable 5 = clone any competitor's landing page in minutes 🤯 Figma just dropped a Chrome extension that copy/pastes any live website into Figma as editable layers. Point Claude Code — running the new Fable 5 model — at the capture, and it rebuilds the whole page in YOUR brand: structure, copy, design system, photography. All inside Claude Code. Perfect for DTC brands and agencies who keep losing weeks rebuilding proven landers from scratch. If you're still cloning competitor pages the old way, You're screenshotting their site and praying the AI guesses the structure right. You're rebuilding sections by hand because the fonts and spacing never come out true. You're paying a designer $3K to recreate a page that already exists. This workflow eliminates the entire loop: → Capture the competitor's landing page with Figma's new Chrome extension — editable layers, not screenshots → Claude Code reads the page structure through the Figma MCP: every section, every headline, in order → It rebuilds the page in YOUR brand — your colors, your fonts, your voice (it even respects your banned-words list) → GPT Image 2 generates on-brand product photography from the layer names → Claude places every image automatically — finished page, ready to ship No screenshots. No guessing at structure. No design invoice. What you get: → A pixel-structured clone of any proven lander, rebuilt in your brand → Every line of copy rewritten in your voice → 16 on-brand images generated and placed for ~$2 in API costs → Start to finish in about 15 minutes Built 100% with Figma + Claude Code on Claude Fable 5. I put together a step-by-step playbook showing you exactly how to set it up. Want access for free? > Like this post > Comment "CLONE" And I'll send it over (must be following so I can DM)

Mike Futia

46,852 views • 2 months ago

Just pulled up Olipop's landing page after seeing their ads everywhere lately and I need to break this down because this is one of the cleaner DTC pages I've seen in a while. Here's what's actually happening when you land on this page and why it converts cold Facebook traffic better than 90% of ecom brands right now: 1) The first 3 seconds Before you read a single word, there's a video of the product being poured, fizzing, bubbling and condensation on the can with no voiceover or text overlay. Your brain processes that faster than any headline ever could. You can almost hear the fizz. That's intentional. They're triggering a sensory response before your logical brain even wakes up. Then the headline hits. "A New Kind of Soda." Now that's a category repositioning. They're not saying "healthy soda" or "better soda." They're saying the entire category you grew up with needs a new version and this is it. Sub-headline says high fiber, less sugar. Targets exactly the person who clicked the health-focused ad on Instagram. Message match is perfect. The person who clicked the ad lands here and immediately feels like the page was made for them. 2) The product carousel Most brands mess this up by showing you the product and making you go through three more pages to add it to your cart. Olipop lets you hover over any flavor and an "Add 12 Pack" button appears right there. One click. Done. You never leave the homepage. That little micro-interaction is doing serious conversion work because every extra click you require is a percentage of buyers you lose. They basically short-circuited the whole buying process and most people don't even notice it's happening. Star ratings under every flavor. Smart. You're not waiting until the reviews section at the bottom to see social proof. It's right there next to the product at the exact moment you're deciding what to buy. Then there's the "Limited" and "Out of Stock" tags on certain flavors. This is a psychological move that a lot of brands either don't use or use badly. When you see Shirley Temple is sold out your brain immediately thinks this must be good enough that people are actually buying it. And now you're looking at everything else thinking you better grab it before it's gone too. 3) The retention play At this point you haven't bought yet and they already know some people won't on the first visit. So right here they drop the rewards program section. Trade your email for perks and points. They're not letting you leave empty handed. Either you buy today or you give them your email so they can bring you back. Both outcomes work for them. Then comes the subscription nudge. 15% off. Free shipping. Cancel anytime. Three objections handled in one sentence. 1. Too expensive? 15% off. 2. Annoying to reorder? Free shipping straight to your door. 3. Scared of being locked in? Cancel whenever you want. That's a complete objection removal stack built into what looks like a simple banner. The people who weren't ready to buy a 12-pack today are looking at that and doing the math. 4) The press section Bloomberg. Forbes. BuzzFeed. Mindbody. This section exists for one reason. You clicked an ad from a brand you'd maybe seen once or twice before. You don't fully trust them yet. These logos close that gap in about half a second. It's institutional validation. You don't need to read the articles. Just seeing the logos tells your brain people with real credibility have looked at this and thought it was worth covering. Background behind this section is a high-res macro shot of condensation on the can. Cold. Refreshing. Premium. Even the section design is doing sensory work. 5) The overall lesson What Olipop figured out is that a landing page for Facebook traffic has one job. Close the trust gap between the ad and the purchase as fast as possible without losing the energy the ad created. Every section of this page does exactly that. Sensory hook gets you in. Category positioning tells you what it is. Carousel with inline add to cart removes friction. Social proof and scarcity show demand. Subscription offer removes price and convenience objections. Press section provides institutional trust. By the time you hit the footer you either already bought or you gave them your email. That's not a landing page. That's a conversion machine. If your page isn't doing all of this right now, that's where your revenue is leaking. Not in the ads. In what happens after the click. DM me ‘FUNNEL’ and I'll show you exactly how to build something like this for your brand.
0:45

Just pulled up Olipop's landing page after seeing their ads everywhere lately and I need to break this down because this is one of the cleaner DTC pages I've seen in a while. Here's what's actually happening when you land on this page and why it converts cold Facebook traffic better than 90% of ecom brands right now: 1) The first 3 seconds Before you read a single word, there's a video of the product being poured, fizzing, bubbling and condensation on the can with no voiceover or text overlay. Your brain processes that faster than any headline ever could. You can almost hear the fizz. That's intentional. They're triggering a sensory response before your logical brain even wakes up. Then the headline hits. "A New Kind of Soda." Now that's a category repositioning. They're not saying "healthy soda" or "better soda." They're saying the entire category you grew up with needs a new version and this is it. Sub-headline says high fiber, less sugar. Targets exactly the person who clicked the health-focused ad on Instagram. Message match is perfect. The person who clicked the ad lands here and immediately feels like the page was made for them. 2) The product carousel Most brands mess this up by showing you the product and making you go through three more pages to add it to your cart. Olipop lets you hover over any flavor and an "Add 12 Pack" button appears right there. One click. Done. You never leave the homepage. That little micro-interaction is doing serious conversion work because every extra click you require is a percentage of buyers you lose. They basically short-circuited the whole buying process and most people don't even notice it's happening. Star ratings under every flavor. Smart. You're not waiting until the reviews section at the bottom to see social proof. It's right there next to the product at the exact moment you're deciding what to buy. Then there's the "Limited" and "Out of Stock" tags on certain flavors. This is a psychological move that a lot of brands either don't use or use badly. When you see Shirley Temple is sold out your brain immediately thinks this must be good enough that people are actually buying it. And now you're looking at everything else thinking you better grab it before it's gone too. 3) The retention play At this point you haven't bought yet and they already know some people won't on the first visit. So right here they drop the rewards program section. Trade your email for perks and points. They're not letting you leave empty handed. Either you buy today or you give them your email so they can bring you back. Both outcomes work for them. Then comes the subscription nudge. 15% off. Free shipping. Cancel anytime. Three objections handled in one sentence. 1. Too expensive? 15% off. 2. Annoying to reorder? Free shipping straight to your door. 3. Scared of being locked in? Cancel whenever you want. That's a complete objection removal stack built into what looks like a simple banner. The people who weren't ready to buy a 12-pack today are looking at that and doing the math. 4) The press section Bloomberg. Forbes. BuzzFeed. Mindbody. This section exists for one reason. You clicked an ad from a brand you'd maybe seen once or twice before. You don't fully trust them yet. These logos close that gap in about half a second. It's institutional validation. You don't need to read the articles. Just seeing the logos tells your brain people with real credibility have looked at this and thought it was worth covering. Background behind this section is a high-res macro shot of condensation on the can. Cold. Refreshing. Premium. Even the section design is doing sensory work. 5) The overall lesson What Olipop figured out is that a landing page for Facebook traffic has one job. Close the trust gap between the ad and the purchase as fast as possible without losing the energy the ad created. Every section of this page does exactly that. Sensory hook gets you in. Category positioning tells you what it is. Carousel with inline add to cart removes friction. Social proof and scarcity show demand. Subscription offer removes price and convenience objections. Press section provides institutional trust. By the time you hit the footer you either already bought or you gave them your email. That's not a landing page. That's a conversion machine. If your page isn't doing all of this right now, that's where your revenue is leaking. Not in the ads. In what happens after the click. DM me ‘FUNNEL’ and I'll show you exactly how to build something like this for your brand.

Nick Theriot

26,389 views • 5 months ago

We're excited to announce a major update to the $WSG mobile application, now available for download on both Google Play and the App Store. In addition, the first collection of the first $WSG album is live! This update brings a host of new features and improvements to enhance your gaming experience: New design We've overhauled the UX and UI for a smoother, more intuitive navigation experience across the entire application. Treasure chests Open treasure chests within the app to earn gold or even gold and album collection NFTs as rewards. Gold economy Dive into our newly introduced gold economy system. For details on how gold can be used within the app, visit gold economy info on our docs page. Heart purchases Run out of game tries? Now you can buy hearts directly in-game to continue playing, with up to three tries. Learn more at hearts info on our docs page. In-app minigame purchases Acquire games directly through the app using gold, adding a new layer of convenience and accessibility. Login update We've removed Twitter login to comply with store policies, ensuring a seamless experience for all users. What's coming next? 🔜 Multiplayer Lobbies Soon, you'll be able to create lobbies for multiplayer games, set wagers, and enjoy private games with friends. Game Subscription System Choose from Bi-Daily, Weekly, Monthly, Half-Yearly, or Lifetime Passes to access games and earn keys. New Minigames Stay tuned for a variety of new minigames coming your way, adding more diversity and excitement to your gaming experience. This update not only enhances the current features but also introduces new ways to engage with the app and community. Download the updated WSG mobile application today and dive into a world of enhanced gaming and community interaction. Stay tuned for more updates and happy gaming!
0:45

We're excited to announce a major update to the $WSG mobile application, now available for download on both Google Play and the App Store. In addition, the first collection of the first $WSG album is live! This update brings a host of new features and improvements to enhance your gaming experience: New design We've overhauled the UX and UI for a smoother, more intuitive navigation experience across the entire application. Treasure chests Open treasure chests within the app to earn gold or even gold and album collection NFTs as rewards. Gold economy Dive into our newly introduced gold economy system. For details on how gold can be used within the app, visit gold economy info on our docs page. Heart purchases Run out of game tries? Now you can buy hearts directly in-game to continue playing, with up to three tries. Learn more at hearts info on our docs page. In-app minigame purchases Acquire games directly through the app using gold, adding a new layer of convenience and accessibility. Login update We've removed Twitter login to comply with store policies, ensuring a seamless experience for all users. What's coming next? 🔜 Multiplayer Lobbies Soon, you'll be able to create lobbies for multiplayer games, set wagers, and enjoy private games with friends. Game Subscription System Choose from Bi-Daily, Weekly, Monthly, Half-Yearly, or Lifetime Passes to access games and earn keys. New Minigames Stay tuned for a variety of new minigames coming your way, adding more diversity and excitement to your gaming experience. This update not only enhances the current features but also introduces new ways to engage with the app and community. Download the updated WSG mobile application today and dive into a world of enhanced gaming and community interaction. Stay tuned for more updates and happy gaming!

Wall Street Games Token

17,073 views • 2 years ago

first test results are in. qwen 3.6 27b dense just banged 10 out of 10 on a single rtx 3090 24gb tier at 40 tok/s. no quant tricks. no fused kernels. just q4_k_m straight cut on llama.cpp. i wrote a particle swarm benchmark this morning, fed it the prompt, and the model autonomously built a 500 particle boids flocking system. velocity driven hue, density based brightness, trail blend rendering, mouse attraction physics, click bursts, drag paint. then it used browser automation to test its own work, found the failing tests, iterated through the code, patched tests.js, and landed all 10 green on its own. i sat there hooked for 8 minutes playing. simple but mesmerizing. mouse trails build beautiful patterns, palette cycles with space, click sends particles flying, drag paints through the swarm. simplicity that hooks you. i'll open source this prompt and the build soon so anyone can reproduce it as their own benchmark. this is the first of 5 single file agent tests i wrote for this model. four more coming. octopus invaders flagship after as final. watch the full video below. see it autonomously build from one prompt. haven't slept well since this model dropped yesterday.
1:26

first test results are in. qwen 3.6 27b dense just banged 10 out of 10 on a single rtx 3090 24gb tier at 40 tok/s. no quant tricks. no fused kernels. just q4_k_m straight cut on llama.cpp. i wrote a particle swarm benchmark this morning, fed it the prompt, and the model autonomously built a 500 particle boids flocking system. velocity driven hue, density based brightness, trail blend rendering, mouse attraction physics, click bursts, drag paint. then it used browser automation to test its own work, found the failing tests, iterated through the code, patched tests.js, and landed all 10 green on its own. i sat there hooked for 8 minutes playing. simple but mesmerizing. mouse trails build beautiful patterns, palette cycles with space, click sends particles flying, drag paints through the swarm. simplicity that hooks you. i'll open source this prompt and the build soon so anyone can reproduce it as their own benchmark. this is the first of 5 single file agent tests i wrote for this model. four more coming. octopus invaders flagship after as final. watch the full video below. see it autonomously build from one prompt. haven't slept well since this model dropped yesterday.

Sudo su

132,605 views • 3 months ago

Gojek completes more food deliveries than GrubHub, Uber Eats, and DoorDash combined, and more rides per day than Lyft. Vikrama Dhiman (Vikrama Dhiman) heads all things product at Gojek Tech, including product management, design, and research, across teams in Indonesia, Singapore and India. He is among the most well-known and respected product leaders in all of Asia, and one of my most requested guests. In our conversation, we discuss: 🔸 The most common traits of successful PMs 🔸 The 3 W’s framework for PM career growth 🔸 The right way to push back as a PM 🔸 The Four A’s of leveling up in product management 🔸 Common pitfalls that stall PM careers 🔸 Advice for transitioning into PM 🔸 Why intent alone is not enough 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Some key takeaways: 1. As a PM—especially early in your career—make sure you’re nailing execution before you spend too much time on strategy. Effective strategic thinking requires context on the company, product, and stakeholders that you might not have yet. But you always have opportunities to execute and make your team members’ lives easier. As you execute more, you’ll begin to understand the strategic needs more deeply, and you’ll have more opportunities to contribute at that level. 2. Three traits that make you a great PM to work with: a. Raise difficult issues without being difficult to work with b. Bring up important topics without drawing importance to yourself c. Remember that you are in charge of getting decisions made, not making the decisions yourself 3. Good PMs produce good artifacts: PRDs, product notes, design briefs, etc. These demonstrate your proficiency across core PM skills, and they are your opportunity to “have impact on the impact”—to add value to a team that is adding value to the company. If you’re not sure what to focus on next in your PM career, go scrutinize your recent artifacts and ask how they could be improved. 4. To push back on ideas without being difficult to work with, ask clarifying questions and bring the conversation to a logical space rather than an emotional one. Here are some of Vikrama’s favorites: a. Why has this become suddenly important? b. So that I am clear, can you help clarify xyz? c. What would success look like? d. What time frame do you need this in? 5. Vikrama’s 3 W’s framework for PM career growth comprises (1) what you produce, (2) what you bring to the table, and (3) what your operating model is. Strong product managers excel at two of the three W’s. Product managers who rise in their career excel at all three. 6. Three mindset shifts that can enable faster growth: a. Focus on things you can control: Concentrate your efforts on aspects of your role that you can influence or control, especially as you advance in your career. b. Always embrace change: As an IC PM, you experience rapid change. It’s important that as you get to mid/senior level, you never stop looking for ways to improve. c. How you see yourself: Cultivate a positive and growth-oriented mindset about yourself and your capabilities. 7. Three core competencies to focus on when transitioning into PM roles are (1) data, (2) design/research, and (3) technology. Someone from a design background should focus on strengthening data or tech skills to complement their existing expertise. Similarly, someone from a tech background should pick a design skill to focus on. This approach allows for maximum leverage.
0:49

Gojek completes more food deliveries than GrubHub, Uber Eats, and DoorDash combined, and more rides per day than Lyft. Vikrama Dhiman (Vikrama Dhiman) heads all things product at Gojek Tech, including product management, design, and research, across teams in Indonesia, Singapore and India. He is among the most well-known and respected product leaders in all of Asia, and one of my most requested guests. In our conversation, we discuss: 🔸 The most common traits of successful PMs 🔸 The 3 W’s framework for PM career growth 🔸 The right way to push back as a PM 🔸 The Four A’s of leveling up in product management 🔸 Common pitfalls that stall PM careers 🔸 Advice for transitioning into PM 🔸 Why intent alone is not enough 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Some key takeaways: 1. As a PM—especially early in your career—make sure you’re nailing execution before you spend too much time on strategy. Effective strategic thinking requires context on the company, product, and stakeholders that you might not have yet. But you always have opportunities to execute and make your team members’ lives easier. As you execute more, you’ll begin to understand the strategic needs more deeply, and you’ll have more opportunities to contribute at that level. 2. Three traits that make you a great PM to work with: a. Raise difficult issues without being difficult to work with b. Bring up important topics without drawing importance to yourself c. Remember that you are in charge of getting decisions made, not making the decisions yourself 3. Good PMs produce good artifacts: PRDs, product notes, design briefs, etc. These demonstrate your proficiency across core PM skills, and they are your opportunity to “have impact on the impact”—to add value to a team that is adding value to the company. If you’re not sure what to focus on next in your PM career, go scrutinize your recent artifacts and ask how they could be improved. 4. To push back on ideas without being difficult to work with, ask clarifying questions and bring the conversation to a logical space rather than an emotional one. Here are some of Vikrama’s favorites: a. Why has this become suddenly important? b. So that I am clear, can you help clarify xyz? c. What would success look like? d. What time frame do you need this in? 5. Vikrama’s 3 W’s framework for PM career growth comprises (1) what you produce, (2) what you bring to the table, and (3) what your operating model is. Strong product managers excel at two of the three W’s. Product managers who rise in their career excel at all three. 6. Three mindset shifts that can enable faster growth: a. Focus on things you can control: Concentrate your efforts on aspects of your role that you can influence or control, especially as you advance in your career. b. Always embrace change: As an IC PM, you experience rapid change. It’s important that as you get to mid/senior level, you never stop looking for ways to improve. c. How you see yourself: Cultivate a positive and growth-oriented mindset about yourself and your capabilities. 7. Three core competencies to focus on when transitioning into PM roles are (1) data, (2) design/research, and (3) technology. Someone from a design background should focus on strengthening data or tech skills to complement their existing expertise. Similarly, someone from a tech background should pick a design skill to focus on. This approach allows for maximum leverage.

Lenny Rachitsky

115,463 views • 2 years ago

HERMES AGENT HAS 3 QUICKSILVER FEATURES THAT MOST USERS HAVEN'T CONFIGURED YET. SMART APPROVALS. ONE-TURN MODELS. SELF-IMPROVEMENT CRON. ALL THREE MAKE YOUR AGENT WORK AND SELF EVOLVE WHILE YOU SLEEP. 1. SMART APPROVALS (no more babysitting) without smart approvals: you set a cron job: "morning brief at 7am." the agent hits a command that needs approval. you're asleep. the agent stops. waits. you wake up. it's been stuck for 4 hours. with smart approvals: smart approvals are the DEFAULT mode since v0.19.0. an auxiliary LLM reads each flagged command. obviously safe = auto-approved. genuinely dangerous = auto-denied. uncertain = escalates to you. "read my calendar" → approved. no ping needed. "delete this directory" → denied. you never see it. "send this email draft" → uncertain. asks you. the difference between an assistant you babysit and one that works through the night. if you want manual control back: Desktop app / Dashboard: Security → Mode → ask CLI: hermes config set approvals.mode ask also available: /deny [reason] tells the agent WHY you refused. it learns from the explanation. stops repeating the same flagged action. 2. /MODEL --ONCE (expensive model for one turn only) you're on GPT-5.6 Terra as your daily driver. you need one beautiful HTML page. Kimi K3 does that best but costs 3x more. manual way: /model kimi-k3 → do the task → /model gpt-5.6-terra. two switches. easy to forget the second one. you stay on the expensive model by accident. better: /model kimi-k3 --once Kimi K3 handles the next turn. then automatically reverts to your daily driver. one command. no manual switch back. no accidental expensive model running for 20 turns. use cases: daily driver: GPT-5.6 Terra or Sonnet 4.6 (cheap) one-turn tag-ins: → /model kimi-k3 --once (design task) → /model claude-opus-5 --once (complex reasoning) → /model grok-4.5 --once (X search) expensive models do the one turn that needs firepower. cheap model handles everything else. pair with per-task effort control: reasoning_effort goes up to "max" and "ultra." set per-model overrides in config: reasoning: overrides: claude-opus-5: high gpt-5.6-terra: medium deepseek-v4-flash: low MoA presets can set different effort per slot: advisors think hard. synthesizer stays fast. thinking depth is a dial, not a global switch. 3. SELF-IMPROVEMENT CRON (agent fixes itself overnight) tell your agent: "create a cron job that runs daily at 3am. review all cron jobs that failed in the last 24 hours. for each failure: analyze what went wrong, check if a skill needs updating, and either fix the skill or create a new one. then review all skills. which ones haven't been used in 30 days? which ones failed more than they succeeded? suggest improvements or archive them. compile a report of everything you changed. include it in tomorrow's morning brief under a section called OVERNIGHT SELF-IMPROVEMENT. use the cheapest available model for this audit." what this does: 3am: agent wakes on cheap model. reads its own failure logs. finds: "cron job X failed because skill Y doesn't handle edge case Z." fixes skill Y. tests the fix. archives unused skills. cleans up bloat. 8am: your morning brief includes: "OVERNIGHT SELF-IMPROVEMENT: → fixed email-parser skill: now handles forwarded emails with nested attachments → archived 3 unused skills (last used 45+ days ago) → cron job success rate: 94% → 97%" you didn't debug anything. the agent diagnosed its own failures and improved its own tools. the agent at month 3 is sharper than the agent at month 1 because it ran 90 self-improvement cycles while you slept. HOW ALL THREE CONNECT: smart approvals (1) let the agent work overnight without getting stuck on permissions. /model --once (2) keeps costs down by using expensive models only when needed. self-improvement cron (3) uses a cheap model at 3am to fix failures from the day. the agent runs 24/7. it doesn't wake you for safe operations. it doesn't waste tokens on expensive models. it fixes its own mistakes while you sleep. you show up in the morning. brief is ready. failures are fixed. costs are low. requires v0.19.0+ check your version: hermes --version update if needed: hermes update
17:58

HERMES AGENT HAS 3 QUICKSILVER FEATURES THAT MOST USERS HAVEN'T CONFIGURED YET. SMART APPROVALS. ONE-TURN MODELS. SELF-IMPROVEMENT CRON. ALL THREE MAKE YOUR AGENT WORK AND SELF EVOLVE WHILE YOU SLEEP. 1. SMART APPROVALS (no more babysitting) without smart approvals: you set a cron job: "morning brief at 7am." the agent hits a command that needs approval. you're asleep. the agent stops. waits. you wake up. it's been stuck for 4 hours. with smart approvals: smart approvals are the DEFAULT mode since v0.19.0. an auxiliary LLM reads each flagged command. obviously safe = auto-approved. genuinely dangerous = auto-denied. uncertain = escalates to you. "read my calendar" → approved. no ping needed. "delete this directory" → denied. you never see it. "send this email draft" → uncertain. asks you. the difference between an assistant you babysit and one that works through the night. if you want manual control back: Desktop app / Dashboard: Security → Mode → ask CLI: hermes config set approvals.mode ask also available: /deny [reason] tells the agent WHY you refused. it learns from the explanation. stops repeating the same flagged action. 2. /MODEL --ONCE (expensive model for one turn only) you're on GPT-5.6 Terra as your daily driver. you need one beautiful HTML page. Kimi K3 does that best but costs 3x more. manual way: /model kimi-k3 → do the task → /model gpt-5.6-terra. two switches. easy to forget the second one. you stay on the expensive model by accident. better: /model kimi-k3 --once Kimi K3 handles the next turn. then automatically reverts to your daily driver. one command. no manual switch back. no accidental expensive model running for 20 turns. use cases: daily driver: GPT-5.6 Terra or Sonnet 4.6 (cheap) one-turn tag-ins: → /model kimi-k3 --once (design task) → /model claude-opus-5 --once (complex reasoning) → /model grok-4.5 --once (X search) expensive models do the one turn that needs firepower. cheap model handles everything else. pair with per-task effort control: reasoning_effort goes up to "max" and "ultra." set per-model overrides in config: reasoning: overrides: claude-opus-5: high gpt-5.6-terra: medium deepseek-v4-flash: low MoA presets can set different effort per slot: advisors think hard. synthesizer stays fast. thinking depth is a dial, not a global switch. 3. SELF-IMPROVEMENT CRON (agent fixes itself overnight) tell your agent: "create a cron job that runs daily at 3am. review all cron jobs that failed in the last 24 hours. for each failure: analyze what went wrong, check if a skill needs updating, and either fix the skill or create a new one. then review all skills. which ones haven't been used in 30 days? which ones failed more than they succeeded? suggest improvements or archive them. compile a report of everything you changed. include it in tomorrow's morning brief under a section called OVERNIGHT SELF-IMPROVEMENT. use the cheapest available model for this audit." what this does: 3am: agent wakes on cheap model. reads its own failure logs. finds: "cron job X failed because skill Y doesn't handle edge case Z." fixes skill Y. tests the fix. archives unused skills. cleans up bloat. 8am: your morning brief includes: "OVERNIGHT SELF-IMPROVEMENT: → fixed email-parser skill: now handles forwarded emails with nested attachments → archived 3 unused skills (last used 45+ days ago) → cron job success rate: 94% → 97%" you didn't debug anything. the agent diagnosed its own failures and improved its own tools. the agent at month 3 is sharper than the agent at month 1 because it ran 90 self-improvement cycles while you slept. HOW ALL THREE CONNECT: smart approvals (1) let the agent work overnight without getting stuck on permissions. /model --once (2) keeps costs down by using expensive models only when needed. self-improvement cron (3) uses a cheap model at 3am to fix failures from the day. the agent runs 24/7. it doesn't wake you for safe operations. it doesn't waste tokens on expensive models. it fixes its own mistakes while you sleep. you show up in the morning. brief is ready. failures are fixed. costs are low. requires v0.19.0+ check your version: hermes --version update if needed: hermes update

YanXbt

36,390 views • 12 days ago

Elon Musk: My initial plan was not to start a rocket company. I just wanted to fund a one-time Oasis mission to Mars. “I started off initially with the idea of doing something in the space exploration arena. In fact, it wasn't actually with the idea of creating a company. It was initially with the thought of spurring interest in sending people to Mars. So I put together this idea called Mars Oasis, which was to send a small greenhouse to the surface of Mars and get people excited about the idea of going there and thus increase NASA's budget in order to make it happen. As I got more and more into that, I discovered that the real issue was that the cost of space transportation was really high, and it was getting worse. So we're used to technology getting better every year, but in some arenas it actually does not. It gets worse, particularly when you consider that in 1969 we were able to go to the moon and then we were unable to go beyond low Earth orbit. And now with the space shuttle retired, we're not even able to go to Earth orbit at all, even with people. That was not the right trajectory. So I actually went to Russia three times to look at buying an ICBM to launch this mission. Just very crazy. After my third trip of trying to negotiate with the Russians to buy an ICBM and I did actually get a deal, so figured out what it would cost and everything. But I concluded that my initial assumption had been wrong, that it was not a question of trying to generate more will to explore. Because I think the United States in particular is distillation of the human spirit of exploration. Space exploration is fundamental to the American psyche. But people really need to believe that it can be done and it's not going to break the bank if it does. So that's when I decided to start a rocket company. And I actually didn't think it would succeed and it almost didn't. We started off developing a small rocket which was kind of a scale model version. It was about 100,000 pounds of thrust. So big, you know, big, big by normal standards, but small for a rocket. And developed the engine and the airframe and the electronics and the guidance control system and then proceeded to have three failed launches in a row. And so for various technical reasons, the first three launches did not succeed in reaching orbit. Launches two and three did get to space, but they didn't achieve enough speed to reach orbital velocity. So this is 2008. And so we were heading into the recession and we had one rocket left. And fortunately in late 2008, that fourth launch did work and we made it to orbit. And then we won a NASA contract after that. And so fortunately things worked out. But if that fourth launch had not worked, then SpaceX wouldn't be around. So it was very close call. In fact, when I started I thought, okay, I've got enough money, I think I've got enough money for three launches. Fortunately, it was just enough to make that fourth one.” Montana Jobs Summit, September 16, 2013
2:45

Elon Musk: My initial plan was not to start a rocket company. I just wanted to fund a one-time Oasis mission to Mars. “I started off initially with the idea of doing something in the space exploration arena. In fact, it wasn't actually with the idea of creating a company. It was initially with the thought of spurring interest in sending people to Mars. So I put together this idea called Mars Oasis, which was to send a small greenhouse to the surface of Mars and get people excited about the idea of going there and thus increase NASA's budget in order to make it happen. As I got more and more into that, I discovered that the real issue was that the cost of space transportation was really high, and it was getting worse. So we're used to technology getting better every year, but in some arenas it actually does not. It gets worse, particularly when you consider that in 1969 we were able to go to the moon and then we were unable to go beyond low Earth orbit. And now with the space shuttle retired, we're not even able to go to Earth orbit at all, even with people. That was not the right trajectory. So I actually went to Russia three times to look at buying an ICBM to launch this mission. Just very crazy. After my third trip of trying to negotiate with the Russians to buy an ICBM and I did actually get a deal, so figured out what it would cost and everything. But I concluded that my initial assumption had been wrong, that it was not a question of trying to generate more will to explore. Because I think the United States in particular is distillation of the human spirit of exploration. Space exploration is fundamental to the American psyche. But people really need to believe that it can be done and it's not going to break the bank if it does. So that's when I decided to start a rocket company. And I actually didn't think it would succeed and it almost didn't. We started off developing a small rocket which was kind of a scale model version. It was about 100,000 pounds of thrust. So big, you know, big, big by normal standards, but small for a rocket. And developed the engine and the airframe and the electronics and the guidance control system and then proceeded to have three failed launches in a row. And so for various technical reasons, the first three launches did not succeed in reaching orbit. Launches two and three did get to space, but they didn't achieve enough speed to reach orbital velocity. So this is 2008. And so we were heading into the recession and we had one rocket left. And fortunately in late 2008, that fourth launch did work and we made it to orbit. And then we won a NASA contract after that. And so fortunately things worked out. But if that fourth launch had not worked, then SpaceX wouldn't be around. So it was very close call. In fact, when I started I thought, okay, I've got enough money, I think I've got enough money for three launches. Fortunately, it was just enough to make that fourth one.” Montana Jobs Summit, September 16, 2013

ELON CLIPS

24,586 views • 2 months ago

Indiana Jones and the Great Circle | Previews & Details ▪️You can feel the DNA of Chronicles of Riddick/Wolfenstein games ▪️Surprisingly a bit like Hitman in stealth systems and the way levels are designed ▪️There are many mysterious locked chambers, complex ancient mechanisms, and ritualistic challenges to solve ▪️Examples of puzzles: stealth section to find a golden medallion inside a Nazi base, unlocking a door that unexpectedly opens up a spike pit under your feet, reflecting multiple beams of light across a room to retrieve a mask ▪️Linear storyline, but there are open areas which include side characters, hidden secrets, added rewards, and photo opportunities ▪️One open area sees Indy in an Egyptian bazaar, passing through crowds and finding a stall, which offers up a conversation with the owner and an opportunity for a side quest ▪️These sections are "packed with detail", hidden passages, scattered documents, etc that add context to the story ▪️You'll be able to revisit these areas once you’ve unlocked them and return to find more at a later time ▪️Whip: Useful combat tool, can drag onrushing Nazis in a fight, and also used to grab object in the environment, smash them, swing with, or use as a climbing rope ▪️Camera: Indy packs a film camera that players can use to take pictures of their adventure for "Adventure Points". It also helps offering pointers for puzzles and deepening the story ▪️Journal: Acts as a sort of de facto hint system, with Indy's own notes helping to guide you. Discoveries, documents, photos, physical maps you find in the game world are also stored there ▪️Lighter: Can help illuminate dark places or maybe ward off some snakes ▪️Indy also uses other tools throughout the world, like picking up a spear to throw into a wall that acts as a swinging point, breakable bottles to distract enemies, hammers to use in combat, etc ▪️Skills: There are dozens to unlock but not through a traditional skill tree. You'll find "Skill Books" hidden in the world, each of which open up the ability to unlock a new skill ▪️You can unlock a skill through earning and spending "Adventure Points", which you get by making discoveries, taking photos, etc ▪️One skill book teaches Indy "True Grit" for example, which lets him take a fatal blow in a fight but then retrieve his hat, dust himself off, and keep fighting ▪️Disguises: Throughout the game, opportunities arise where Indy can change into different sets of clothes to blend in and enter forbidden areas ▪️One example sees Indy dressing as a worker in Giza to enter a Nazi HQ at a dig site. There he finds a group of enemies playing cards inside a tent, and is immediately forced to fetch them a drink. You can go undetected by playing your role ▪️Another example has Indy dressing as a priest at the Vatican, though your disguise won't fool everyone ▪️Not centered around combat like past MachineGames titles, but gives you many ways to defend yourself ▪️UI is very light for "true immersion" in a fight, fistfighting is a mix of punches, dodges, grabs, pushes, blocks and parries, with the aim of breaking down an enemy's defenses until you can deliver a 'custom finisher' ▪️You can also use the whip to create more space in a fight or use environmental elements to finish enemies off quicker ▪️For tougher fights, Indy also has his revolver to finish off a threat quickly, though ammo is limited, as well as temporarily grab enemy weapons like a machine gun Previews IGN: VGC: Xbox Wire: #xbox #gamescom2024 #IndianaJones
0:36

Indiana Jones and the Great Circle | Previews & Details ▪️You can feel the DNA of Chronicles of Riddick/Wolfenstein games ▪️Surprisingly a bit like Hitman in stealth systems and the way levels are designed ▪️There are many mysterious locked chambers, complex ancient mechanisms, and ritualistic challenges to solve ▪️Examples of puzzles: stealth section to find a golden medallion inside a Nazi base, unlocking a door that unexpectedly opens up a spike pit under your feet, reflecting multiple beams of light across a room to retrieve a mask ▪️Linear storyline, but there are open areas which include side characters, hidden secrets, added rewards, and photo opportunities ▪️One open area sees Indy in an Egyptian bazaar, passing through crowds and finding a stall, which offers up a conversation with the owner and an opportunity for a side quest ▪️These sections are "packed with detail", hidden passages, scattered documents, etc that add context to the story ▪️You'll be able to revisit these areas once you’ve unlocked them and return to find more at a later time ▪️Whip: Useful combat tool, can drag onrushing Nazis in a fight, and also used to grab object in the environment, smash them, swing with, or use as a climbing rope ▪️Camera: Indy packs a film camera that players can use to take pictures of their adventure for "Adventure Points". It also helps offering pointers for puzzles and deepening the story ▪️Journal: Acts as a sort of de facto hint system, with Indy's own notes helping to guide you. Discoveries, documents, photos, physical maps you find in the game world are also stored there ▪️Lighter: Can help illuminate dark places or maybe ward off some snakes ▪️Indy also uses other tools throughout the world, like picking up a spear to throw into a wall that acts as a swinging point, breakable bottles to distract enemies, hammers to use in combat, etc ▪️Skills: There are dozens to unlock but not through a traditional skill tree. You'll find "Skill Books" hidden in the world, each of which open up the ability to unlock a new skill ▪️You can unlock a skill through earning and spending "Adventure Points", which you get by making discoveries, taking photos, etc ▪️One skill book teaches Indy "True Grit" for example, which lets him take a fatal blow in a fight but then retrieve his hat, dust himself off, and keep fighting ▪️Disguises: Throughout the game, opportunities arise where Indy can change into different sets of clothes to blend in and enter forbidden areas ▪️One example sees Indy dressing as a worker in Giza to enter a Nazi HQ at a dig site. There he finds a group of enemies playing cards inside a tent, and is immediately forced to fetch them a drink. You can go undetected by playing your role ▪️Another example has Indy dressing as a priest at the Vatican, though your disguise won't fool everyone ▪️Not centered around combat like past MachineGames titles, but gives you many ways to defend yourself ▪️UI is very light for "true immersion" in a fight, fistfighting is a mix of punches, dodges, grabs, pushes, blocks and parries, with the aim of breaking down an enemy's defenses until you can deliver a 'custom finisher' ▪️You can also use the whip to create more space in a fight or use environmental elements to finish enemies off quicker ▪️For tougher fights, Indy also has his revolver to finish off a threat quickly, though ammo is limited, as well as temporarily grab enemy weapons like a machine gun Previews IGN: VGC: Xbox Wire: #xbox #gamescom2024 #IndianaJones

Shinobi602

163,474 views • 2 years ago

what is "retail" and what can be today? it's wild how little attention this space gets tbh retail isn't just about profit margins & sales conversions - it's this fascinating bridge between innovation culture & everyday life, especially in design and fashion but nobody's really cracked it for virtual spaces yet all the worlds by dolce gabbana and others are like a very low effort interfaces that dont talk enough to the real user, it is a marketing move to say we did that, we follow tech bla bla (imo :) spent months researching traditional retail spaces - marble floors + high ceilings + that specific type of lighting that makes everything look expensive + trained staff in perfectly pressed + ironed uniforms - it's all carefully orchestrated then you've got these sleek 2d websites - full screen product shots + bold typography + minimal clicks to checkout - they work but something's missing, that human element that makes physical retail special started building this hybrid concept back in october 23 - imagine a web-based spatial store where your digital twin can actually try stuff on instantly - no more guessing if that jacket fits your avatar retail spaces are like these sacred temples of brand culture - acne stores hit different than zara ones & that's intentional - each space tells a story about what the brand believes in metaverse retail flips this whole concept - instead of walking 20 mins to a store you're literally one click away from being inside this carefully crafted virtual environment - ai npcs that actually understand fashion & can help you find exactly what you're looking for here's the thing about virtual retail - it's not just about pushing products - created this space where you can just vibe, test out avatars, play with different looks - if you buy something cool but the experience matters more. feeling same for the stores, new gen irl stores switched the narrative to a spaces where you can have an espresso and chill these ai npcs are different - they're not following you around like those overeager sales assistants - they're just chilling in the space, ready to help if you need them but totally cool if you just want to explore went through like 12 different iterations of interior design thru 3 years - each version taught something new about how people interact with virtual fashion - it's wild how much user behavior in virtual spaces differs from physical retail realized something big during development - creating the collection isn't even half the battle anymore - the way you present it, the whole experience around it, that's become this massive design challenge it's like gesamtkunstwerk but for the metaverse - every single element needs to be intentional - the lighting, the sound design, the way avatars move through the space - it all matters built this whole ecosystem around the concept - the store connects to the runway experience connects to the website connects to the marketplace - everything flows together serving this bigger vision of what virtual fashion can be this isn't just about selling digital clothes - it's about creating this accessible gateway into 3d internet culture - making virtual fashion something that actually makes sense in people's daily digital lives the lighting system alone took a month - because shadows & reflections hit different in virtual space - needed to make materials look good but also render fast enough for smooth experience on todays low gpu vr machine devices future of retail isn't physical or digital - it's this wild hybrid space where real & virtual blend together - imagine walking into a physical store & seeing your virtual wardrobe projected onto your reflection looking at the data now - users spend avg 23 mins in the virtual store compared to 7 mins on traditional e-commerce sites - they're not just shopping, they're exploring & connecting with the brand story accessibility was key in design - wanted anyone with a decent internet connection to access this space - no fancy vr gear required just your browser & imagination each virtual store could visit generates this unique experience - in future, the space can remember your preferences but also introduces new elements each time - keeps the discovery feeling fresh what's wild is how this changes the whole fashion calendar - virtual retail spaces can transform instantly - new collection drops can completely reshape the environment in seconds - no more seasonal renovations, change the glb. looking ahead this could revolutionize how we think about brand spaces - why limit yourself to physics when your store could literally defy gravity - imagine trying on a jacket while floating through a nebula retail in metaverse isn't just about replicating physical stores - it's about creating these impossible spaces that still somehow feel familiar & welcoming - that's the sweet spot we're all chasing built this thinking about the next wave of digital natives - they're gonna expect these kinds of hybrid experiences - traditional e-commerce gonna feel as outdated as catalog shopping feels to us now the tech's finally catching up to the vision - webgl performance + ai integration + virtual try-on tech all hitting that sweet spot where imagination meets practicality all my thoughts here are quite alpha in sense of applying today, was able to apply only some of them thanks to hyperfy, but the vision is here. breathe it. now with v2, all of these thoughts can be applied and developped. this is just the beginning tbh - every problem solved opens up new possibilities - excited to see how others build on these concepts & push virtual retail even further. fubu side note: made an ai gen notorious big song for it, enjoyy.
6:31

what is "retail" and what can be today? it's wild how little attention this space gets tbh retail isn't just about profit margins & sales conversions - it's this fascinating bridge between innovation culture & everyday life, especially in design and fashion but nobody's really cracked it for virtual spaces yet all the worlds by dolce gabbana and others are like a very low effort interfaces that dont talk enough to the real user, it is a marketing move to say we did that, we follow tech bla bla (imo :) spent months researching traditional retail spaces - marble floors + high ceilings + that specific type of lighting that makes everything look expensive + trained staff in perfectly pressed + ironed uniforms - it's all carefully orchestrated then you've got these sleek 2d websites - full screen product shots + bold typography + minimal clicks to checkout - they work but something's missing, that human element that makes physical retail special started building this hybrid concept back in october 23 - imagine a web-based spatial store where your digital twin can actually try stuff on instantly - no more guessing if that jacket fits your avatar retail spaces are like these sacred temples of brand culture - acne stores hit different than zara ones & that's intentional - each space tells a story about what the brand believes in metaverse retail flips this whole concept - instead of walking 20 mins to a store you're literally one click away from being inside this carefully crafted virtual environment - ai npcs that actually understand fashion & can help you find exactly what you're looking for here's the thing about virtual retail - it's not just about pushing products - created this space where you can just vibe, test out avatars, play with different looks - if you buy something cool but the experience matters more. feeling same for the stores, new gen irl stores switched the narrative to a spaces where you can have an espresso and chill these ai npcs are different - they're not following you around like those overeager sales assistants - they're just chilling in the space, ready to help if you need them but totally cool if you just want to explore went through like 12 different iterations of interior design thru 3 years - each version taught something new about how people interact with virtual fashion - it's wild how much user behavior in virtual spaces differs from physical retail realized something big during development - creating the collection isn't even half the battle anymore - the way you present it, the whole experience around it, that's become this massive design challenge it's like gesamtkunstwerk but for the metaverse - every single element needs to be intentional - the lighting, the sound design, the way avatars move through the space - it all matters built this whole ecosystem around the concept - the store connects to the runway experience connects to the website connects to the marketplace - everything flows together serving this bigger vision of what virtual fashion can be this isn't just about selling digital clothes - it's about creating this accessible gateway into 3d internet culture - making virtual fashion something that actually makes sense in people's daily digital lives the lighting system alone took a month - because shadows & reflections hit different in virtual space - needed to make materials look good but also render fast enough for smooth experience on todays low gpu vr machine devices future of retail isn't physical or digital - it's this wild hybrid space where real & virtual blend together - imagine walking into a physical store & seeing your virtual wardrobe projected onto your reflection looking at the data now - users spend avg 23 mins in the virtual store compared to 7 mins on traditional e-commerce sites - they're not just shopping, they're exploring & connecting with the brand story accessibility was key in design - wanted anyone with a decent internet connection to access this space - no fancy vr gear required just your browser & imagination each virtual store could visit generates this unique experience - in future, the space can remember your preferences but also introduces new elements each time - keeps the discovery feeling fresh what's wild is how this changes the whole fashion calendar - virtual retail spaces can transform instantly - new collection drops can completely reshape the environment in seconds - no more seasonal renovations, change the glb. looking ahead this could revolutionize how we think about brand spaces - why limit yourself to physics when your store could literally defy gravity - imagine trying on a jacket while floating through a nebula retail in metaverse isn't just about replicating physical stores - it's about creating these impossible spaces that still somehow feel familiar & welcoming - that's the sweet spot we're all chasing built this thinking about the next wave of digital natives - they're gonna expect these kinds of hybrid experiences - traditional e-commerce gonna feel as outdated as catalog shopping feels to us now the tech's finally catching up to the vision - webgl performance + ai integration + virtual try-on tech all hitting that sweet spot where imagination meets practicality all my thoughts here are quite alpha in sense of applying today, was able to apply only some of them thanks to hyperfy, but the vision is here. breathe it. now with v2, all of these thoughts can be applied and developped. this is just the beginning tbh - every problem solved opens up new possibilities - excited to see how others build on these concepts & push virtual retail even further. fubu side note: made an ai gen notorious big song for it, enjoyy.

decentralize*

12,505 views • 1 year ago

📖SEEDANCE 2.0 JUST MADE EVERY FILM SCHOOL IRRELEVANT FOR SOLO CREATORS Solo creators with the right workflow are closing clients that used to require a full production studio. Seedance 2.0 inside Dreamina holds character consistency across scenes in a way no other tool at this price point comes close to. Same face, same costume, same lighting logic — frame after frame after frame. That's the feature that turns a single prompt session into a short film. The lava demon materializing inside a gothic cathedral. The girl in black holding her ground while everything burns around her. Two characters with completely different visual languages sharing the same atmospheric world — and Seedance holds both of them consistent across every cut. That's not a generation. That's a production. Here's the 7-step workflow that produced this: • Step 1 — Define the character before you define the scene. Write a complete physical description — face structure, hair, clothing, skin, posture. This becomes the anchor every future generation references. • Step 2 — Build the world separately from the character. Gothic cathedral, candlelight, fog, cracked stone, scattered bodies. Define the atmosphere as its own entity before you place anyone inside it. • Step 3 — Generate the reference frame. One image that establishes the visual language, the color grade, the lighting temperature. Lock this as your style reference before generating any video. • Step 4 — Feed the reference into Seedance's image-to-video pipeline with a motion prompt. Camera behavior only — slow push, hold, circle. The image handles the subject. The prompt handles the direction. • Step 5 — Generate four variations per scene. Delete the two that look generated. Keep the one where the character's face holds and the atmosphere feels physical rather than rendered. • Step 6 — Edit in CapCut or Premiere Pro. Add music that matches the emotional temperature of the grade — the visual already tells you what the sound should feel like. Dark orchestral, slow tempo, single instrument carrying the melody. • Step 7 — Save the character description and reference frame as a template. The next episode starts from the same character in the same world. Series content becomes a system, not a restart. How a freelancer sells this: Dark fantasy content for game studios, music artists, and fantasy brands is a real market with real budgets. A musician dropping an album needs a visual world. A game studio needs promotional cinematics. A fantasy brand needs a story. Where to find clients: • Music artists on SoundCloud and Spotify releasing dark, gothic, or cinematic albums — search by genre, find artists with 1k–50k listeners who have no visual content. They have the audience and the need but no production budget for traditional video. • Indie game studios on Itch and Steam launching fantasy or horror titles — they need promotional cinematics and trailers but can't afford a production company. A single free scene built from their game's character art opens every conversation. • Dark fantasy and gothic brands on Instagram and TikTok with strong photo content but zero video presence — jewelry brands, clothing labels, occult lifestyle brands. They have the aesthetic already built. You just add motion to it. • Fantasy and horror fiction authors on Instagram and Substack launching new books — they need visual teasers, trailers, and world-building content to build pre-launch audiences. Most have no idea this kind of production is accessible at this price point. • Tabletop RPG creators and Dungeon Masters on Patreon and Kickstarter — they build entire fantasy universes and need cinematic content for campaigns, promotional videos, and subscriber rewards. The niche is underserved and the creators inside it spend consistently on content tools and services. 📥Tomorrow I'll show you what's sitting right next to this opportunity. 🔖Save this if you are looking for practical AI methods that actually pay.
0:36

📖SEEDANCE 2.0 JUST MADE EVERY FILM SCHOOL IRRELEVANT FOR SOLO CREATORS Solo creators with the right workflow are closing clients that used to require a full production studio. Seedance 2.0 inside Dreamina holds character consistency across scenes in a way no other tool at this price point comes close to. Same face, same costume, same lighting logic — frame after frame after frame. That's the feature that turns a single prompt session into a short film. The lava demon materializing inside a gothic cathedral. The girl in black holding her ground while everything burns around her. Two characters with completely different visual languages sharing the same atmospheric world — and Seedance holds both of them consistent across every cut. That's not a generation. That's a production. Here's the 7-step workflow that produced this: • Step 1 — Define the character before you define the scene. Write a complete physical description — face structure, hair, clothing, skin, posture. This becomes the anchor every future generation references. • Step 2 — Build the world separately from the character. Gothic cathedral, candlelight, fog, cracked stone, scattered bodies. Define the atmosphere as its own entity before you place anyone inside it. • Step 3 — Generate the reference frame. One image that establishes the visual language, the color grade, the lighting temperature. Lock this as your style reference before generating any video. • Step 4 — Feed the reference into Seedance's image-to-video pipeline with a motion prompt. Camera behavior only — slow push, hold, circle. The image handles the subject. The prompt handles the direction. • Step 5 — Generate four variations per scene. Delete the two that look generated. Keep the one where the character's face holds and the atmosphere feels physical rather than rendered. • Step 6 — Edit in CapCut or Premiere Pro. Add music that matches the emotional temperature of the grade — the visual already tells you what the sound should feel like. Dark orchestral, slow tempo, single instrument carrying the melody. • Step 7 — Save the character description and reference frame as a template. The next episode starts from the same character in the same world. Series content becomes a system, not a restart. How a freelancer sells this: Dark fantasy content for game studios, music artists, and fantasy brands is a real market with real budgets. A musician dropping an album needs a visual world. A game studio needs promotional cinematics. A fantasy brand needs a story. Where to find clients: • Music artists on SoundCloud and Spotify releasing dark, gothic, or cinematic albums — search by genre, find artists with 1k–50k listeners who have no visual content. They have the audience and the need but no production budget for traditional video. • Indie game studios on Itch and Steam launching fantasy or horror titles — they need promotional cinematics and trailers but can't afford a production company. A single free scene built from their game's character art opens every conversation. • Dark fantasy and gothic brands on Instagram and TikTok with strong photo content but zero video presence — jewelry brands, clothing labels, occult lifestyle brands. They have the aesthetic already built. You just add motion to it. • Fantasy and horror fiction authors on Instagram and Substack launching new books — they need visual teasers, trailers, and world-building content to build pre-launch audiences. Most have no idea this kind of production is accessible at this price point. • Tabletop RPG creators and Dungeon Masters on Patreon and Kickstarter — they build entire fantasy universes and need cinematic content for campaigns, promotional videos, and subscriber rewards. The niche is underserved and the creators inside it spend consistently on content tools and services. 📥Tomorrow I'll show you what's sitting right next to this opportunity. 🔖Save this if you are looking for practical AI methods that actually pay.

Zentrix⌚️

50,098 views • 1 month ago

My first test with the new Gemini Deep Think 3 🔥🔥🔥 Build a complete Three.js scene in a single HTML file that renders a fully 3D interior room indistinguishable from a classical oil painting hanging in a museum. The Painterly Rendering System Write custom GLSL shaders that replace all standard rendering with oil paint simulation. Every pixel must feel painted by hand. The system needs these layers working together. Brushstroke normals. Generate a procedural brushstroke normal map using layered directional noise at varying scales. Large bold strokes for walls and floors following the plane direction. Small delicate strokes for fine details like metal and glass. Circular strokes for rounded objects. The brushstrokes must catch sidelight and cast tiny shadows into their grooves exactly like real impasto paint on canvas. Paint thickness. Use parallax occlusion mapping to give highlights genuine physical thickness. Where the original painter would load their brush with white or yellow to hit a bright highlight, the paint should visibly sit above the surface. In dark shadow areas, the paint should appear thinner, letting canvas weave show through slightly. Color palette. Restrict the entire scene to a historical oil palette. Titanium white, naples yellow, yellow ochre, raw sienna, burnt sienna, burnt umber, raw umber, ivory black, vermillion used sparingly, and a muted blue-grey. No modern saturated colors. All color mixing should feel subtractive and warm. Edge treatment. No hard edges anywhere in the scene. Object silhouettes must soften and blur slightly as if the painter's brush feathered where one form meets another. Implement this as a screen-space edge-detection pass that blurs based on depth discontinuity and overlays brushstroke texture at boundaries. Canvas texture. The entire final image must have a linen canvas weave overlay rendered with its own normal map that interacts with the scene lighting. As you orbit, the canvas tooth should glint differently. This sells the illusion more than anything else. Varnish layer. Apply a post-processing pass that simulates aged oil varnish. A warm amber tint that is slightly uneven, thicker in corners and thinner in center. A subtle gloss reflection that shifts as you move the camera. Very fine craquelure, hairline crack patterns, visible only when you zoom in close. The Scene. A Dutch Golden Age Study. Model everything procedurally with no external assets. A small intimate room with rough plastered walls in thick paint, warm grey-ochre. A single tall window on the left wall. Leaded glass with thick mullions letting in one dominant shaft of warm light. The window glass should have slight imperfections like bubbles and waviness visible in the paint treatment. A heavy dark wood table positioned center-left. On the table place a brass candlestick with a half-melted candle where the wax drips are modeled and painted with naples yellow impasto highlights. A pewter plate with a half-peeled lemon, the peel curling off the edge of the plate, the exposed fruit flesh a jewel of thick yellow paint catching light. A partially unfolded letter with a broken red wax seal. A small glass of dark wine catching a single highlight. A dark velvet cloth draped from the table edge falling in heavy folds to the floor. The velvet should have that characteristic oil painting treatment where shadows go almost black and the fabric catches light in soft broken highlights. The floor is wide dark wooden planks painted with long horizontal brushstrokes. Against the back wall, barely visible in shadow, a tall wooden cabinet with a few old leather-bound books leaning against each other. A single beam of light from the window cuts diagonally across the scene illuminating floating dust motes painted as soft tiny dots of naples yellow, not CG particles. The rest of the room falls into rich warm shadow. Lighting One dominant directional light from the left simulating window light. Warm, strong, with soft VSM shadows. A very subtle fill from the right in cool blue-grey at perhaps 5% intensity. No ambient light. The shadows should be genuinely dark and warm. This is Vermeer lighting. The contrast between the luminous light-struck areas and the deep velvety shadows is what makes the painting breathe. Post-Processing Chain Render pass. Painterly edge softening pass. Canvas texture overlay pass. Varnish and aging pass. Heavy vignette like a dark gallery frame encroaching. Very subtle bloom only on the brightest impasto highlights. Film grain that mimics canvas tooth texture rather than photographic noise. Interaction OrbitControls with very slow damping at 0.02 and limited orbit range so you can look around the painting but not flip it upside down. Slow zoom. The feeling should be like leaning closer to a painting in a museum and discovering more detail. The Standard When someone opens this file and takes a screenshot, people should genuinely argue whether it is a photograph of a real oil painting or a digital render.
0:36

My first test with the new Gemini Deep Think 3 🔥🔥🔥 Build a complete Three.js scene in a single HTML file that renders a fully 3D interior room indistinguishable from a classical oil painting hanging in a museum. The Painterly Rendering System Write custom GLSL shaders that replace all standard rendering with oil paint simulation. Every pixel must feel painted by hand. The system needs these layers working together. Brushstroke normals. Generate a procedural brushstroke normal map using layered directional noise at varying scales. Large bold strokes for walls and floors following the plane direction. Small delicate strokes for fine details like metal and glass. Circular strokes for rounded objects. The brushstrokes must catch sidelight and cast tiny shadows into their grooves exactly like real impasto paint on canvas. Paint thickness. Use parallax occlusion mapping to give highlights genuine physical thickness. Where the original painter would load their brush with white or yellow to hit a bright highlight, the paint should visibly sit above the surface. In dark shadow areas, the paint should appear thinner, letting canvas weave show through slightly. Color palette. Restrict the entire scene to a historical oil palette. Titanium white, naples yellow, yellow ochre, raw sienna, burnt sienna, burnt umber, raw umber, ivory black, vermillion used sparingly, and a muted blue-grey. No modern saturated colors. All color mixing should feel subtractive and warm. Edge treatment. No hard edges anywhere in the scene. Object silhouettes must soften and blur slightly as if the painter's brush feathered where one form meets another. Implement this as a screen-space edge-detection pass that blurs based on depth discontinuity and overlays brushstroke texture at boundaries. Canvas texture. The entire final image must have a linen canvas weave overlay rendered with its own normal map that interacts with the scene lighting. As you orbit, the canvas tooth should glint differently. This sells the illusion more than anything else. Varnish layer. Apply a post-processing pass that simulates aged oil varnish. A warm amber tint that is slightly uneven, thicker in corners and thinner in center. A subtle gloss reflection that shifts as you move the camera. Very fine craquelure, hairline crack patterns, visible only when you zoom in close. The Scene. A Dutch Golden Age Study. Model everything procedurally with no external assets. A small intimate room with rough plastered walls in thick paint, warm grey-ochre. A single tall window on the left wall. Leaded glass with thick mullions letting in one dominant shaft of warm light. The window glass should have slight imperfections like bubbles and waviness visible in the paint treatment. A heavy dark wood table positioned center-left. On the table place a brass candlestick with a half-melted candle where the wax drips are modeled and painted with naples yellow impasto highlights. A pewter plate with a half-peeled lemon, the peel curling off the edge of the plate, the exposed fruit flesh a jewel of thick yellow paint catching light. A partially unfolded letter with a broken red wax seal. A small glass of dark wine catching a single highlight. A dark velvet cloth draped from the table edge falling in heavy folds to the floor. The velvet should have that characteristic oil painting treatment where shadows go almost black and the fabric catches light in soft broken highlights. The floor is wide dark wooden planks painted with long horizontal brushstrokes. Against the back wall, barely visible in shadow, a tall wooden cabinet with a few old leather-bound books leaning against each other. A single beam of light from the window cuts diagonally across the scene illuminating floating dust motes painted as soft tiny dots of naples yellow, not CG particles. The rest of the room falls into rich warm shadow. Lighting One dominant directional light from the left simulating window light. Warm, strong, with soft VSM shadows. A very subtle fill from the right in cool blue-grey at perhaps 5% intensity. No ambient light. The shadows should be genuinely dark and warm. This is Vermeer lighting. The contrast between the luminous light-struck areas and the deep velvety shadows is what makes the painting breathe. Post-Processing Chain Render pass. Painterly edge softening pass. Canvas texture overlay pass. Varnish and aging pass. Heavy vignette like a dark gallery frame encroaching. Very subtle bloom only on the brightest impasto highlights. Film grain that mimics canvas tooth texture rather than photographic noise. Interaction OrbitControls with very slow damping at 0.02 and limited orbit range so you can look around the painting but not flip it upside down. Slow zoom. The feeling should be like leaning closer to a painting in a museum and discovering more detail. The Standard When someone opens this file and takes a screenshot, people should genuinely argue whether it is a photograph of a real oil painting or a digital render.

Emily

20,940 views • 6 months ago

Here’s my written & video review of the new 2026 Tesla Model Y Performance after driving it for a week. This is the best-value new Tesla you can buy. Crazy performance, no real drawbacks, and all for just $57,490. Let’s dive in. Price: I haven’t seen many others mention this: every option on the Model Y Performance is included at no extra cost in the US (except FSD). So if you spec a Model Y Premium AWD with an upgraded paint color, tow package, white interior, and upgraded 20" wheels, a fully loaded Model Y Premium AWD ends up only about $2,500 less expensive than a fully loaded Model Y Performance. Ride Quality: I thought I might feel worse ride quality vs my Premium AWD Model Y with 20" wheels, but I struggled to find any real difference, despite the larger 21" wheels, firmer suspension setting, and 0.6" lower ride height on the Performance trim. A true testament to Tesla's engineering magic on this thing. Exterior Design: Unlike the previous Model Y Performance, Tesla made some exterior design tweaks with a new front and rear fascia to spice things up a bit. The result, in my opinion, is the best-looking Model Y trim you can buy. It definitely has a more aggressive presence in person, even if it's subtle. The carbon-fiber spoiler boosts high-speed stability and cuts aerodynamic drag by 10%. The new 21’’ Arachnid 2.0 wheels look fantastic in person, one of my favorite designs ever from Tesla. Staggered wheel and tire fitment provides better grip and steering. The beefier 275mm rear tires (255mm in the front) give the vehicle a better stance from behind. Vehicle-to-Load (V2L): For the first time on a Model Y in North America, you can now plug in anything you want to the exterior charge port with an adapter, even a campsite! It provides up to 2.4 kW of power (120V at 20A) from two household outlets. It's a great feature. Interior: It’s what you know and love, but with a few changes that elevate the ownership experience. New with the Performance is a larger 16" center screen (vs. 15.4" on non-Performance models), with thinner bezels and higher resolution. It’s not a huge difference on paper, but you definitely notice it in daily use. The carbon-fiber décor on the door cards and dash is a nice touch, though I would like to see it extended to the center console. The new performance seats are the best seats of any Tesla I've ever experienced. While they retain aggressive bolstering in the torso area, the bottom seat cushion has less aggressive bolstering than on the Model 3 Performance seats, making it easier to get in and out. It also doesn’t squeeze your thighs too tightly. The powered thigh extenders add comfort on longer drives, especially for taller people who want extra support. And of course, they’re heated and ventilated. The headrests also feel more comfortable than the ones in my Model Y. I want these seats. Unlike the old Model Y Performance, the new one has no Track Mode. Why? Because nobody used it lol. No point in putting engineering resources into something people won’t use. The refreshed Model 3 Performance still has it, though. Cabin Quietness: Despite the thinner-profile tires, there is no noticeable difference vs my Premium Model Y. Decibel reading results at highway speeds were visually the same compared to my 2026 Model Y Premium (65-66). Driving Impressions: It’s amazing. Sharp, precise, and agile. The vehicle feels stable at all times. Acceleration is blistering (3.3s 0–60 mph), with plenty of punch even at higher speeds. The tires offer good grip, and cornering is fantastic for an SUV. The suspension setup is great. More steering wheel feedback would be nice, though. Cruising around traffic is a joy. The brakes are much improved over the previous Model Y Performance and are far better suited for spirited driving. There are three acceleration modes: Chill, Standard, and Insane. Just stay in Insane. You’d be insane not to lol. The car also lets you switch between two ride and handling modes: Standard and Sport. The difference isn’t huge, but Standard is better if you’ve got passengers. FSD: I unfortunately wasn’t able to get FSD V14 on this car. It had V13.2.9, so I didn’t use it much. But in the little time I did, it was smooth and comfortable. It didn’t bother me because V14 will perform just as well here as it does on my 2026 Model Y Premium AWD. Conclusion: You won’t find another new SUV today that offers this level of performance for the price. Back in 2022, when Tesla couldn’t build Model Ys fast enough, a fully loaded Model Y Performance cost over $90,440. Today, the refreshed and far more capable 2026 Model Y Performance is just $57,490 fully loaded, and you can simply subscribe to FSD for $99/month. The 2026 Model Y Performance delivers utility, great performance, comfort, tech, self-driving and everything else people love about the Model Y. It’s a no-brainer purchase. I want one badly, but I'll need to show restraint, as I’m saving up for a house lol.
15:48

Here’s my written & video review of the new 2026 Tesla Model Y Performance after driving it for a week. This is the best-value new Tesla you can buy. Crazy performance, no real drawbacks, and all for just $57,490. Let’s dive in. Price: I haven’t seen many others mention this: every option on the Model Y Performance is included at no extra cost in the US (except FSD). So if you spec a Model Y Premium AWD with an upgraded paint color, tow package, white interior, and upgraded 20" wheels, a fully loaded Model Y Premium AWD ends up only about $2,500 less expensive than a fully loaded Model Y Performance. Ride Quality: I thought I might feel worse ride quality vs my Premium AWD Model Y with 20" wheels, but I struggled to find any real difference, despite the larger 21" wheels, firmer suspension setting, and 0.6" lower ride height on the Performance trim. A true testament to Tesla's engineering magic on this thing. Exterior Design: Unlike the previous Model Y Performance, Tesla made some exterior design tweaks with a new front and rear fascia to spice things up a bit. The result, in my opinion, is the best-looking Model Y trim you can buy. It definitely has a more aggressive presence in person, even if it's subtle. The carbon-fiber spoiler boosts high-speed stability and cuts aerodynamic drag by 10%. The new 21’’ Arachnid 2.0 wheels look fantastic in person, one of my favorite designs ever from Tesla. Staggered wheel and tire fitment provides better grip and steering. The beefier 275mm rear tires (255mm in the front) give the vehicle a better stance from behind. Vehicle-to-Load (V2L): For the first time on a Model Y in North America, you can now plug in anything you want to the exterior charge port with an adapter, even a campsite! It provides up to 2.4 kW of power (120V at 20A) from two household outlets. It's a great feature. Interior: It’s what you know and love, but with a few changes that elevate the ownership experience. New with the Performance is a larger 16" center screen (vs. 15.4" on non-Performance models), with thinner bezels and higher resolution. It’s not a huge difference on paper, but you definitely notice it in daily use. The carbon-fiber décor on the door cards and dash is a nice touch, though I would like to see it extended to the center console. The new performance seats are the best seats of any Tesla I've ever experienced. While they retain aggressive bolstering in the torso area, the bottom seat cushion has less aggressive bolstering than on the Model 3 Performance seats, making it easier to get in and out. It also doesn’t squeeze your thighs too tightly. The powered thigh extenders add comfort on longer drives, especially for taller people who want extra support. And of course, they’re heated and ventilated. The headrests also feel more comfortable than the ones in my Model Y. I want these seats. Unlike the old Model Y Performance, the new one has no Track Mode. Why? Because nobody used it lol. No point in putting engineering resources into something people won’t use. The refreshed Model 3 Performance still has it, though. Cabin Quietness: Despite the thinner-profile tires, there is no noticeable difference vs my Premium Model Y. Decibel reading results at highway speeds were visually the same compared to my 2026 Model Y Premium (65-66). Driving Impressions: It’s amazing. Sharp, precise, and agile. The vehicle feels stable at all times. Acceleration is blistering (3.3s 0–60 mph), with plenty of punch even at higher speeds. The tires offer good grip, and cornering is fantastic for an SUV. The suspension setup is great. More steering wheel feedback would be nice, though. Cruising around traffic is a joy. The brakes are much improved over the previous Model Y Performance and are far better suited for spirited driving. There are three acceleration modes: Chill, Standard, and Insane. Just stay in Insane. You’d be insane not to lol. The car also lets you switch between two ride and handling modes: Standard and Sport. The difference isn’t huge, but Standard is better if you’ve got passengers. FSD: I unfortunately wasn’t able to get FSD V14 on this car. It had V13.2.9, so I didn’t use it much. But in the little time I did, it was smooth and comfortable. It didn’t bother me because V14 will perform just as well here as it does on my 2026 Model Y Premium AWD. Conclusion: You won’t find another new SUV today that offers this level of performance for the price. Back in 2022, when Tesla couldn’t build Model Ys fast enough, a fully loaded Model Y Performance cost over $90,440. Today, the refreshed and far more capable 2026 Model Y Performance is just $57,490 fully loaded, and you can simply subscribe to FSD for $99/month. The 2026 Model Y Performance delivers utility, great performance, comfort, tech, self-driving and everything else people love about the Model Y. It’s a no-brainer purchase. I want one badly, but I'll need to show restraint, as I’m saving up for a house lol.

Sawyer Merritt

224,054 views • 8 months ago

My app just hit $7k/m. I'll hit 10k/m before I quit my job & fly to vietnam 🇻🇳 This is how I did it. Part One: The App. 1. Built an iOS app. 2. Found a validated niche. 3. Improved upon existing apps. 4. Read reviews to see pain points. 5. Improved everything: UI, onboarding, features. 6. With AI and good taste it's so easy to win. 7. You can build beautiful & useful product in a week. 8. Stack: Native Swift & RevenueCat. 9. Pricing of 7.99/w, 14.99/m and 49.99/y. 10. Typically weekly + yearly combo is good. 11. Adding monthly increased my conversions. 12. This will vary by niche: see what competitors do! Part Two: Apple Ads to 1k/m. 1. Used the $100 free credits to get data! 2. Measured my onboarding & paywall with posthog. 3. Already had 70% onboarding completion. 4. Reduced all friction: got it to 85%. 5. Ran AB tests using remote paywalls. 6. Kept everything compliant with Apple guidelines. 7. Achieved 8% install to paid. 8. Split campaigns by territory groups: US, AU, TH etc. 9. Used competitor names as strict keywords. 10. User searches for competitor: • My app way better so they download mine instead. 11. This relies on a really good app store page. 12. Mock up screenshots in Figma then enhance with AI. 13. ChatGPT Image-2 is free with Codex. Part Three: Scaling to 7k/m with Tikslop. 1. Scrolled in my niche, found organic viral posts. 2. Remade them myself: film with friends or use AI. 3. Seedance 2 mini is the best ROI video model I think. 4. I made ~8 formats, ~15 creatives. 5. Give each creative $50 of spend. 6. After $50, if CPA LTV then stop spend. 8. LTV is hard to calculate. You can ask Rico. 9. Better for me: Aimed for profit on first transaction. 10. This is simpler & more ambitious. 11. Expect to burn at least $500! Part Four: Scaling Ad Spend (The Big Leagues) 1. If the CPA is staying consistent. 2. Increase spend by < 30% each time. 3. My advice: ~15% each time. 4. 50, 60, 70, 90 etc. 5. Performance can be volatile. • Yesterday I made ~$170, a small loss. • A few days ago I made ~$600, big profit. 6. Measure averages over time. Remember: there are infinite ways to win, this is mine. It took me about 3 years to make a successful app. Winning is simply losing on a long enough timeline.
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My app just hit $7k/m. I'll hit 10k/m before I quit my job & fly to vietnam 🇻🇳 This is how I did it. Part One: The App. 1. Built an iOS app. 2. Found a validated niche. 3. Improved upon existing apps. 4. Read reviews to see pain points. 5. Improved everything: UI, onboarding, features. 6. With AI and good taste it's so easy to win. 7. You can build beautiful & useful product in a week. 8. Stack: Native Swift & RevenueCat. 9. Pricing of 7.99/w, 14.99/m and 49.99/y. 10. Typically weekly + yearly combo is good. 11. Adding monthly increased my conversions. 12. This will vary by niche: see what competitors do! Part Two: Apple Ads to 1k/m. 1. Used the $100 free credits to get data! 2. Measured my onboarding & paywall with posthog. 3. Already had 70% onboarding completion. 4. Reduced all friction: got it to 85%. 5. Ran AB tests using remote paywalls. 6. Kept everything compliant with Apple guidelines. 7. Achieved 8% install to paid. 8. Split campaigns by territory groups: US, AU, TH etc. 9. Used competitor names as strict keywords. 10. User searches for competitor: • My app way better so they download mine instead. 11. This relies on a really good app store page. 12. Mock up screenshots in Figma then enhance with AI. 13. ChatGPT Image-2 is free with Codex. Part Three: Scaling to 7k/m with Tikslop. 1. Scrolled in my niche, found organic viral posts. 2. Remade them myself: film with friends or use AI. 3. Seedance 2 mini is the best ROI video model I think. 4. I made ~8 formats, ~15 creatives. 5. Give each creative $50 of spend. 6. After $50, if CPA LTV then stop spend. 8. LTV is hard to calculate. You can ask Rico. 9. Better for me: Aimed for profit on first transaction. 10. This is simpler & more ambitious. 11. Expect to burn at least $500! Part Four: Scaling Ad Spend (The Big Leagues) 1. If the CPA is staying consistent. 2. Increase spend by < 30% each time. 3. My advice: ~15% each time. 4. 50, 60, 70, 90 etc. 5. Performance can be volatile. • Yesterday I made ~$170, a small loss. • A few days ago I made ~$600, big profit. 6. Measure averages over time. Remember: there are infinite ways to win, this is mine. It took me about 3 years to make a successful app. Winning is simply losing on a long enough timeline.

Frederick James

101,784 views • 18 days ago