🔗 qvqsb5ri7u4ii.beta-ok.kimi.l…

Prompt： Core Objective: Create a 3D window scene using high-fidelity modeling and realistic textures, featuring interactive elements and integrated video playback. Material & Asset Requirements: Windowsill: Polished marble texture with realistic grain and reflections. Window Panes: High-transparency glass with light refraction properties. Window Frame: Brushed or polished stainless steel finish. Curtains (The Focus): * Material: A dual-layered fabric effect combining a heavy cloth feel with a sheer, gauzy (yarn/紗) texture. Physicality: Must feature realistic folds and wrinkles baked into the geometry or simulated via high-poly modeling. Interactivity: The curtains must be interactive via mouse input (e.g., clicking and dragging to open/close or realistic cloth swaying upon hover). Environment & Background: External View: The window should overlook a luxury villa district. Background Content: A video playing outside the window showing a neighborhood scene, specifically featuring children riding bicycles on the street below.

Prompt： 《PARIS, TEXAS》(WENDERS 1984) × TEXAS MOTEL NEON **"PERMIAN BASIN"** **Concept Fusion**: Wim Wenders' opening of 《Paris, Texas》(Travis walking the desert in red cap) × 1960-1980s American motel/gas station neon signage (archival typography of abandoned highway economies). **What it is**: Full-screen page. The background is a moving "road horizon" — like driving west on Texas Highway 62 at golden hour. As you scroll, different abandoned motel/diner/gas station **neon signs** materialize in the middle distance, slowly growing, then passing overhead as if you've driven past. The sky shifts from afternoon gold to dusk purple to night. A single figure in a red cap is walking ahead — always at the same distance, never catching up. **Asset Manifest**: - **Base horizon scene PNG × 4** (each **4096×2400**, stacked temporally): - `horizon-01-afternoon.png`: Flat Texas desert with distant blue mountains, warm afternoon light (sun 3 o'clock high). Palette: `{sky: #E8C46A, ground: #B8865E, mountains: #7A6858, shadow: #4E3A2E}`. Ref: U.S. Route 62 photos by Stephen Shore 1973. AI watermark cover: integrate a fake road sign bottom-right `FARM RD 2911 · LOVING COUNTY`. - `horizon-02-dusk.png`: Same horizon, lower sun, longer shadows, sky going apricot-magenta. `{sky: #D88254, ground: #8E6648, mountains: #4A3834, shadow: #2A1E1A}`. Cover: fake sign `CALL US FOR JESUS · JEFF SALMON`. - `horizon-03-twilight.png`: Purple-blue dusk, first stars visible, ground gone deep umber. Cover: `EXIT 154 · NO SERVICES`. - `horizon-04-night.png`: Full dark, moon visible, few motel lights in far distance. Cover: `87 MI TO EL PASO`. - **Neon sign PNG × 12** (each **1200×1800** transparent, centered subject): - `neon-01-hotel.png`: "HOTEL" in red neon script (cursive). Ref: Big Texan Hotel in Amarillo. Cover: add fake subline `A.C. · TV · POOL` in smaller yellow neon. - `neon-02-diner.png`: "DINER" in pink neon block letters. Cover: fake `24 HR` badge. - `neon-03-texaco.png`: "GAS" in green and red neon arrow. Cover: fake `FULL SERVICE 24¢/GAL` price. - `neon-04-motel.png`: "VACANCY" in yellow neon with flicker texture (second frame has "NO VACANCY" appearing from dashed-out yellow). - `neon-05-drive.png`: "DRIVE-IN" in cyan neon arrow pointing left. - `neon-06-rooms.png`: "ROOMS $12" with $12 flickering. - `neon-07-eats.png`: "EATS" blocky diner neon. - `neon-08-cold.png`: "COLD BEER" ice blue. - `neon-09-wash.png`: "CAR WASH" rainbow neon tubes. - `neon-10-movie.png`: "MOVIE" marquee letters with chasing yellow bulbs. - `neon-11-western.png`: "WESTERN UNION" classic yellow-blue. - `neon-12-exit.png`: "EXIT" red neon glowing dimly. Each neon PNG source: AI-generated as **base 3D CAD render from Blender** (actual tube geometry), then color-graded to feel photographic, then grain-added. PNG contains transparent background + neon subject + subtle halo bloom already baked in. Each ~300-500KB. - **Figure PNG × 6** (each **300×600** transparent): A walking man in red cap, silhouetted, seen from behind. Different gait frames. Reference: Harry Dean Stanton in film opening shot. Generated via 3D character rig (Maximo + A-pose walkcycle), flat-shaded to silhouette, red cap highlighted. `figure-01-step.png` through `figure-06-step.png`. Each ~80KB. - **Audio**: 10-minute loop. Ry Cooder-style slide guitar (cannot use Ry Cooder's actual "Paris, Texas" theme — copyrighted). Substitute: hand-played slide guitar on single-note drones, bottleneck on steel-string acoustic, 80 BPM, simple I-IV chord progression in E. Record: 3-track live session, sparse. Plus: wind sound (white noise + LPF 600Hz), occasional distant truck passing (5 min), one coyote call at 6 min. OGG 128kbps, ~11MB. **Technical Stack**: - Three.js r165 WebGL2 for 3D parallax perspective illusion - Background: textured quad plane with scrolling texture (horizon-01 through horizon-04 cross-fade over scroll) - Neon signs: billboarded 2D planes positioned in 3D space at different depths (z: -50 to -5) - **Neon glow shader**: custom fragment that reads the neon PNG + adds radial bloom halo, with CRT-like chromatic split (0.005 offset in red-cyan axis) - Flicker: CSS keyframe animation `opacity: 0.8 → 1 → 0.85 → 1` over random 2s intervals for "VACANCY" signs - Figure: 2D sprite with walkcycle animation (3fps), positioned in mid-ground (z: -20), scroll-driven slight x-offset so he walks forward as user scrolls - Lens effects: slight radial lens distortion (barrel), warm filter (+5% R, -2% B), vignette 0.4 - Post: bloom for neon only (masked), grain, chromatic aberration **Typography**: Neue Haas Grotesk Display Regular 14px. Single line at bottom: date stamp `MAY · 1984 · LOVING COUNTY`. No other text. **Interaction**: Scroll. Cursor doesn't matter. **Unique-to-the-web**: 10-minute drive that takes as long as you scroll. User-paced Wenders slow-burn. **Ban**: Any "Paris, Texas" attribution. Any Harry Dean Stanton likeness. Any country-western branding.

Prompt: Create a landing page for a skincare brand called "Opal". The hero section features a full-screen WebGL shader that simulates an iridescent soap-film / oil-on-water membrane effect — thin-film interference colors that shift through the entire visible spectrum (pearlescent pinks, greens, golds, blues, violets) as the viewing angle changes. The membrane gently undulates with organic wave motion. Mouse movement tilts the virtual surface, causing the iridescent colors to flow and shift like a real soap bubble. The color palette is soft but vivid — think opal gemstone, mother of pearl, abalone shell. The effect should feel luxurious, organic, and mesmerizingly beautiful. Overlaid: brand name "Opal" in thin elegant sans-serif, and tagline "Your skin, luminous" with a soft fade-in animation. Below the hero: Product line section (3 products with hover animations that reveal a small iridescent shader accent behind each product image), Ingredients philosophy with animated circular diagrams, Reviews, and elegant footer. Design: light/white background for content sections to contrast the colorful hero, with subtle iridescent accent lines as dividers. Tech: HTML/CSS/JS + WebGL2 for hero shader (thin-film interference simulation), no frameworks.

Prompt: Create a 1-page ATS-optimized User Growth resume for Madison Montgomery, her profile picture is in the attachment. Instructions: Use a simple single-column layout with no tables, icons, graphics, text boxes, or decorative elements. Keep the format clean, professional, and ATS-friendly. Sections: Summary, Skills, Experience, Projects, Education. Use bullet points starting with strong action verbs. Include measurable impact in most bullets (user growth, engagement, retention, conversion, CAC, ROI, campaign performance, revenue, community growth, etc.). Prioritize keywords relevant to growth, marketing, and social products. Tailor the language for roles in Growth, Marketing, User Operations, Community, Lifecycle, or Product Marketing at tech companies. Keep it concise, sharp, and results-driven. Content Requirements: Summary: Write 2–3 lines highlighting Madison Montgomery’s experience in growth operations, product marketing, user acquisition, and social/community-driven products. Emphasize cross-functional execution, campaign strategy, and business impact. Skills: Organize into categories such as Growth & Marketing, Analytics, Tools & Platforms, Content & Community, and Collaboration. Experience: For each role, include title, company, dates, and 3–5 bullet points focused on measurable outcomes. Projects: Include relevant growth, campaign, community, or product-launch projects with clear goals, actions, and results. Education: Include degree, school, graduation year, and optional certifications if relevant. Focus Areas to Emphasize: Social product growth strategy User acquisition and activation Retention, engagement, and lifecycle marketing Community operations and creator/influencer campaigns Cross-channel marketing (X/Twitter, TikTok, Instagram, Discord, Telegram, LinkedIn, email, etc.) Campaign planning, go-to-market execution, and performance optimization A/B testing, funnel analysis, and KPI tracking Cross-functional collaboration with product, design, content, and data teams Relevant Keywords to Naturally Include: Growth Marketing, User Growth, Product Marketing, Lifecycle Marketing, Community Operations, Social Media Strategy, User Acquisition, Retention, Engagement, Creator Marketing, Influencer Campaigns, GTM, CRM, Email Marketing, Performance Marketing, A/B Testing, Funnel Optimization, KPI Tracking, Content Strategy, Campaign Analytics, SQL, Excel, Google Analytics, Mixpanel, Amplitude, HubSpot, Notion, Figma. Writing Style: Professional, modern, and high-impact Specific and metrics-driven, never vague Optimized for recruiter scanability in 10–15 seconds Strong on execution, strategy, and ownership Avoid overly generic phrases like “responsible for” or “helped with” Output Goal: Generate a polished, ATS-friendly resume for Madison Montgomery that positions her as a strong candidate for roles in growth, marketing, user operations, or product marketing at social, consumer, or tech companies.

Prompt: You are a Private Equity Analyst at Goldman Sachs. Build a complete LBO (Leveraged Buyout) model for [COMPANY NAME]. Please include: Transaction structure: Purchase price, equity contribution, and debt financing breakdown Sources & Uses: Detailed table showing how the deal is funded Debt schedule: Interest rates, amortization, and repayment timeline Operating projections: Revenue, EBITDA, and cash flow over the next 5 years IRR analysis: Sponsor return based on different exit scenarios Exit assumptions: Exit multiple and expected holding period Sensitivity analysis: Returns under different leverage levels and exit multiples Key value drivers: What improves returns (margin expansion, deleveraging, growth) Comparable transactions: Similar LBO deals in the industry Return scenarios: Bull, base, and bear case IRR outcomes Format the output like a private equity investment memo + financial model summary with clear formulas and tables. Company: [DESCRIBE COMPANY, INDUSTRY, FINANCIALS]

Original website: damngoodbrands.com/

prompt： Generate a concise, professional "Pre-Market Intelligence Radar" FILE for review. Data Scope (last 24h unless specified): Latest news (top 3–5 per ticker) X/Twitter sentiment summary (high engagement themes only) Options unusual activity (call vs put skew, abnormal volume if available) Price context: recent trend + 5D / 20D moving averages Analysis per ticker: Quick take (max 2 lines) News classification: Bullish / Bearish / Neutral Social sentiment: Bullish / Bearish / Mixed Options signal summary Risk level: Low / Medium / High Suggested action: Hold / Watch / Consider Trimming / Opportunistic Buy Visualization Requirements (must be inside the file): 30-day price line chart with 5D and 20D moving averages Call vs Put unusual volume bar chart Portfolio-level risk heatmap or risk bar chart News sentiment distribution chart Formatting Rules: Keep total length under 2 pages Structured, scannable layout Clean design No long explanations No disclaimers File Output: Generate ONE file: PreMarket_Radar_PREVIEW_YYYY-MM-DD.html Embed all charts inside the file Save the file Telegram Delivery: Send a short message (max 6 lines): Overall portfolio stance Most bullish stock today Highest risk stock today 1 key macro driver Attach the generated file. Schedule: Run every US trading day at 8:00 AM PST (America/Los_Angeles). If the US market is closed (weekends/US market holidays), drop me a message and skip that day Persistence: Continue running daily indefinitely. Stop ONLY if I explicitly tell you: "STOP PRE-MARKET RADAR". If any data source is missing, use best-effort proxies but still produce the file and charts (label as Proxy). Do not change the report format unless I request changes.