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Just dropped a full character selection UI/UX sequence for NEXUS/7 🎮 From roster → loadout → weapon inspection → phase modules → ready to deploy. Clean Swiss-editorial design, acid-lime accents, and a sharp focus on Operator Lira Kade. Made with Hailuo AI (MiniMax) #MiniMaxH3

Arcane Ai

31,216 subscribers

48,010 次观看 • 4 天前 •via X (Twitter)

艺术科学技术游戏 #MiniMaxH3

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Started as a rough sketch, turned it into a full freestyle. 16 counts, clean flow, just feeling the rhythm. Made with Seedance 2.0 on Yapper Image Prompt: A colored pencil sketch style choreography sheet infographic for an urban street dance solo performance. Layout: 16 steps arranged in a clean 4x4 grid, each panel showing a different breakdance-inspired move. Subject: a teenage Asian girl with long wavy hair, wearing effortless urban streetwear with stylish layered details (oversized washed black hoodie, loose cargo jogger pants, fitted inner top, chunky sneakers with muted grey, soft lavender, and faded blue accents, silver chain accessories, fingerless gloves). Style: hand-drawn colored pencil illustration, soft shading, visible pencil texture, slightly sketchy but clean lines, muted urban tones blended with subtle pastel accents and dark outfit contrast. Movement: each frame shows dynamic breakdance motions and freestyle street dance energy (toprock, footwork, spins, freezes, slides, shoulder drops, groove transitions, power poses), with small arrows indicating movement direction, momentum, and flow. Design: modern urban dance aesthetic, minimal and stylish infographic layout, subtle graffiti-inspired visual accents, step numbers (1–16), short captions under each frame. Text: Title at the top — “URBAN STREET BREAKDANCE – 16 COUNTS – 10 SECONDS – FREESTYLE FLOW”. Environment: simple industrial dance studio background with concrete textures, soft cinematic lighting, minimal shadows. Quality: high detail, sharp composition, balanced layout, editorial dance tutorial poster, stylish choreography reference sheet. Negative prompt: blurry, low quality, extra limbs, distorted anatomy, bad proportions, messy layout, overcrowded design, text errors, watermark.

Started as a rough sketch, turned it into a full freestyle. 16 counts, clean flow, just feeling the rhythm. Made with Seedance 2.0 on Yapper Image Prompt: A colored pencil sketch style choreography sheet infographic for an urban street dance solo performance. Layout: 16 steps arranged in a clean 4x4 grid, each panel showing a different breakdance-inspired move. Subject: a teenage Asian girl with long wavy hair, wearing effortless urban streetwear with stylish layered details (oversized washed black hoodie, loose cargo jogger pants, fitted inner top, chunky sneakers with muted grey, soft lavender, and faded blue accents, silver chain accessories, fingerless gloves). Style: hand-drawn colored pencil illustration, soft shading, visible pencil texture, slightly sketchy but clean lines, muted urban tones blended with subtle pastel accents and dark outfit contrast. Movement: each frame shows dynamic breakdance motions and freestyle street dance energy (toprock, footwork, spins, freezes, slides, shoulder drops, groove transitions, power poses), with small arrows indicating movement direction, momentum, and flow. Design: modern urban dance aesthetic, minimal and stylish infographic layout, subtle graffiti-inspired visual accents, step numbers (1–16), short captions under each frame. Text: Title at the top — “URBAN STREET BREAKDANCE – 16 COUNTS – 10 SECONDS – FREESTYLE FLOW”. Environment: simple industrial dance studio background with concrete textures, soft cinematic lighting, minimal shadows. Quality: high detail, sharp composition, balanced layout, editorial dance tutorial poster, stylish choreography reference sheet. Negative prompt: blurry, low quality, extra limbs, distorted anatomy, bad proportions, messy layout, overcrowded design, text errors, watermark.

Harboris

19,079 次观看 • 3 个月前

been getting a lot of qs on how i vibe coded this demo. and the answer is: stop acting like a coder and start acting like a PM! my exact playbook👇 1. logic first ignore the UI/graphics. focus strictly on how it works. do a massive brain dump of every requirement into a plain txt file and drop it in your root folder. make it exhaustively detailed. 2. the stack · Nano Banana 2 (tiles/textures/3D refs) · Tripo AI (turning the 2D pics into actual 3D models) · Cursor + Opus 4.6 (doing the heavy lifting) · Netlify (deploy) 3. hire the AI PM feed your brain dump to an LLM. tell it to write a technical spec sheet like a senior PM would. drop that in the root too. 4. the scrum master have it break the entire project down into a markdown checklist by phases. notice we still haven't touched the codebase yet. that's the point. 5. let it cook go to your agent in Cursor and literally just prompt "Start Phase 1". test locally. bugs? tell it to fix. works? "Start Phase 2". loop this until you're done. Now you can focus on visuals, refine them with the agent. And yes, it can deploy it for you too if you give it perms. stop rushing to the editor. architect the idea and let the AI sweat the code. Open sourced repo in the qt post below

been getting a lot of qs on how i vibe coded this demo. and the answer is: stop acting like a coder and start acting like a PM! my exact playbook👇 1. logic first ignore the UI/graphics. focus strictly on how it works. do a massive brain dump of every requirement into a plain txt file and drop it in your root folder. make it exhaustively detailed. 2. the stack · Nano Banana 2 (tiles/textures/3D refs) · Tripo AI (turning the 2D pics into actual 3D models) · Cursor + Opus 4.6 (doing the heavy lifting) · Netlify (deploy) 3. hire the AI PM feed your brain dump to an LLM. tell it to write a technical spec sheet like a senior PM would. drop that in the root too. 4. the scrum master have it break the entire project down into a markdown checklist by phases. notice we still haven't touched the codebase yet. that's the point. 5. let it cook go to your agent in Cursor and literally just prompt "Start Phase 1". test locally. bugs? tell it to fix. works? "Start Phase 2". loop this until you're done. Now you can focus on visuals, refine them with the agent. And yes, it can deploy it for you too if you give it perms. stop rushing to the editor. architect the idea and let the AI sweat the code. Open sourced repo in the qt post below

TechHalla

70,060 次观看 • 5 个月前

GPT-5.6 Sol is unbelievably good at creating and editing videos. It can do motion design, product demos, and animations like this one I made by simply giving it a screen recording. GPT 5.6 has the best design taste and significantly outperforms Fable, which relies heavily on repetitive design patterns. To help you experiment with video editing on it, we just launched a collection of 100 ready-to-use skills that show what’s possible and help you get started with video editing using GPT-5.6. These skills can create anything from motion graphics launch videos for your product to a 3B1B-style science explainer video. You can also use them to edit existing videos: add captions, generate motion graphics, create voiceovers, redesign visual styles, translate into new languages, and much more. If you want access to the full library, comment “VIDEO SKILLS” and I’ll share it with you. (You'll have to follow me so I can DM you.)

GPT-5.6 Sol is unbelievably good at creating and editing videos. It can do motion design, product demos, and animations like this one I made by simply giving it a screen recording. GPT 5.6 has the best design taste and significantly outperforms Fable, which relies heavily on repetitive design patterns. To help you experiment with video editing on it, we just launched a collection of 100 ready-to-use skills that show what’s possible and help you get started with video editing using GPT-5.6. These skills can create anything from motion graphics launch videos for your product to a 3B1B-style science explainer video. You can also use them to edit existing videos: add captions, generate motion graphics, create voiceovers, redesign visual styles, translate into new languages, and much more. If you want access to the full library, comment “VIDEO SKILLS” and I’ll share it with you. (You'll have to follow me so I can DM you.)

Akash Anand

511,813 次观看 • 25 天前

Claude Fable 5 + Claude Design is f*cking insane 🤯 Anthropic just dropped its most intelligent model ever, and the first thing I pointed it at was email design. I built a complete email campaign design in Claude Design, and the difference is night and day: tighter layouts, cleaner hierarchy, on-brand from the first generation. All inside Claude Design with Fable 5. Perfect for DTC brands and agencies who are still paying email agencies $3-5K/month for campaign designs that take 2 weeks to ship. If your campaign calendar is packed but every new email means briefing a designer, waiting on mockups, sending notes, and waiting again... This workflow eliminates the entire bottleneck: → Load your brand design system into Claude Design once (colors, fonts, logo, button styling) → Switch the model to Claude Fable 5 — Anthropic's new state-of-the-art model with the best vision of any AI → Prompt the campaign email section by section: header, hero, headline, offer block, CTA → Fable 5 nails layout and brand details that older models fumbled → Iterate inline — swap images, adjust styling, color-pick directly in the canvas → Export the finished email and hand off to your ESP No briefing a designer. No 2-week turnaround on a single campaign. No paying an agency $4K/month for 4 emails. What you get: → Campaign emails designed in minutes, not weeks → A reusable design system every new email pulls from automatically → Noticeably smarter design decisions from Fable 5's upgraded vision → Full inline editing before anything touches your ESP Built 100% with Claude Design + Claude Fable 5. I recorded a full walkthrough showing exactly how this works. Want it for free? > Like this post > Comment "FABLE" And I'll send it over (must be following so I can DM)

Mike Futia

42,862 次观看 • 1 个月前

Fable 5 just dropped and someone already built a $10k-looking website with it. Here's the full workflow The smooth scrolling, the animations, the transitions, all built with Fable 5. Here's how to get the same result instead of a generic template. 1. Steal a direction first. Go to Mobbin or Godly and find a site whose feel you love. Screenshot it. Fable copies a vibe far better than it invents one. 2. Grab real components. Pull animation-ready blocks from Aceternity UI or Magic UI. These are built for exactly this look (scroll reveals, parallax, gradients). 3. Prompt Fable with all of it. Switch to Fable 5 in Claude Code, drop in your screenshots and the component references, and describe the sections and scroll behavior you want. Let it plan before it builds. 4. Animate with the right tools. Tell it to use GSAP with ScrollTrigger for scroll effects, or Framer Motion for React. This is what separates "nice" from "$10k." 5. Iterate on feel, not code. Preview it, then give Fable specific notes ("slower fade, more spacing on mobile") until it lands. Bookmark this

Fable 5 just dropped and someone already built a $10k-looking website with it. Here's the full workflow The smooth scrolling, the animations, the transitions, all built with Fable 5. Here's how to get the same result instead of a generic template. 1. Steal a direction first. Go to Mobbin or Godly and find a site whose feel you love. Screenshot it. Fable copies a vibe far better than it invents one. 2. Grab real components. Pull animation-ready blocks from Aceternity UI or Magic UI. These are built for exactly this look (scroll reveals, parallax, gradients). 3. Prompt Fable with all of it. Switch to Fable 5 in Claude Code, drop in your screenshots and the component references, and describe the sections and scroll behavior you want. Let it plan before it builds. 4. Animate with the right tools. Tell it to use GSAP with ScrollTrigger for scroll effects, or Framer Motion for React. This is what separates "nice" from "$10k." 5. Iterate on feel, not code. Preview it, then give Fable specific notes ("slower fade, more spacing on mobile") until it lands. Bookmark this

Fokki

72,175 次观看 • 1 个月前

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable

231,653 次观看 • 1 个月前

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

125,827 次观看 • 4 个月前

Burned 200k tokens just for "animations" and still AI couldn't do it well. I tried one of the expert animation design engineer's, Emil Kowalski's Agent Skill on my website to improve animation using Grok 4.5 It analyzed the UI, found issues, came up with a good plan, and iterated multiple times. The end result actually made parts of the UX worse. Also, it never suggested the animation experience I had in mind. So I explained exactly how I wanted it to feel. It got much closer, but still missed details like applying the same animation during keyboard navigation between cards. That silly. The lesson isn't about the model or the Agent Skill. But it's about, "Even the strongest models can't infer your taste yet." They can't and won't suggest it. AI only executes. You have to define the experience with enough details for it to execute. Otherwise, you'll end up with something that's almost okay, but still not what you wanted

Burned 200k tokens just for "animations" and still AI couldn't do it well. I tried one of the expert animation design engineer's, Emil Kowalski's Agent Skill on my website to improve animation using Grok 4.5 It analyzed the UI, found issues, came up with a good plan, and iterated multiple times. The end result actually made parts of the UX worse. Also, it never suggested the animation experience I had in mind. So I explained exactly how I wanted it to feel. It got much closer, but still missed details like applying the same animation during keyboard navigation between cards. That silly. The lesson isn't about the model or the Agent Skill. But it's about, "Even the strongest models can't infer your taste yet." They can't and won't suggest it. AI only executes. You have to define the experience with enough details for it to execute. Otherwise, you'll end up with something that's almost okay, but still not what you wanted

The Bugged Dev

25,641 次观看 • 23 天前

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂

WINR

37,891 次观看 • 2 年前

Unmarshal Mega Buyback Plan 2025 In 2024, we kicked off our buy-and-burn program with over 1 million $MARSH removed from circulation, averaging 250K tokens per quarter. That was just the warm-up. Earlier this year, we announced a bold target: to buy back 4 million $MARSH throughout 2025. We’re now going well beyond that. We’re committing to a 10 million $MARSH buyback over the next one year. A snapshot of the second buyback of the year will be shared in the next 24 hours, along with proof. An aggressive open market buyback is already underway, backed by a renewed focus on driving real value back to the community. This next phase is supported by real momentum: → A significantly expanded product suite → Key integrations across RWA, DePIN, and AI → A live, revenue-positive network with growing adoption We’re actively working to bring that circulation supply number down, while reinforcing the foundation for long-term value capture. Full details dropping soon. Stay tuned. $MARSH

Unmarshal Mega Buyback Plan 2025 In 2024, we kicked off our buy-and-burn program with over 1 million $MARSH removed from circulation, averaging 250K tokens per quarter. That was just the warm-up. Earlier this year, we announced a bold target: to buy back 4 million $MARSH throughout 2025. We’re now going well beyond that. We’re committing to a 10 million $MARSH buyback over the next one year. A snapshot of the second buyback of the year will be shared in the next 24 hours, along with proof. An aggressive open market buyback is already underway, backed by a renewed focus on driving real value back to the community. This next phase is supported by real momentum: → A significantly expanded product suite → Key integrations across RWA, DePIN, and AI → A live, revenue-positive network with growing adoption We’re actively working to bring that circulation supply number down, while reinforcing the foundation for long-term value capture. Full details dropping soon. Stay tuned. $MARSH

Unmarshal | Mainnet is LIVE

11,855 次观看 • 1 年前

Here we go GPT Image 2 and Seedance 2.0 is now live on insMind #insmind #insmindai Generated this GRWM video using the Prompt : Aesthetic “Get Ready With Me – Gym Edition” storyboard layout, minimal neutral-toned design, soft beige and cream color palette, clean editorial grid. Top header text: “GET READY WITH ME” subtitle: “gym edition” in elegant script font subheading: “step-by-step activewear routine” The layout is divided into 4 blocks, each showing a sequence (1–8 steps per row), featuring the same young woman throughout with consistent face, natural makeup, athletic toned body, hair tied in a messy bun or sleek ponytail. BLOCK 1 – BASE (1–8) 1–2: putting on a fitted sports bra 3–4: wearing high-waisted gym leggings 5–6: adjusting waistband / smoothing fit 7–8: mirror check, relaxed confident pose BLOCK 2 – LAYERS (9–16) 1–2: putting on oversized gym t-shirt or cropped top 3–4: adding lightweight zip-up hoodie or jacket 5–6: tying hair tighter / adjusting outfit 7–8: slight movement pose (stretching arms or twisting body) BLOCK 3 – DETAILS (17–24) 1–2: wearing smartwatch / fitness band 3–4: adding minimal jewelry (thin chain, studs) 5–6: putting on gym gloves or lifting straps 7–8: wearing sunglasses or tying hair final look BLOCK 4 – FINISH (25–32) 1–2: putting on training shoes (clean white sneakers) 3–4: grabbing gym bag / water bottle 5–6: holding headphones / protein shaker 7–8: full-body mirror shot, confident final look Side icons representing categories: base, layers, accessories, shoes, final look. Soft natural lighting, indoor minimal room or modern apartment, neutral background, clean shadows, editorial fashion photography style, consistent framing across all panels. Footer text: “You’re ready. Go own your workout.” Video prompt : Use provided storyboard image as reference CONCEPT: Get Ready With Me — Gym Edition TIMELINE: 0 : 00–0:04 Sports bra on High-waisted leggings wear Waistband adjustment Mirror check 0 : 04–0:08 Oversized tee / cropped top Lightweight hoodie or jacket Hair tie (ponytail/bun) Light stretch / body turn 0: 08–0:12 Smartwatch / fitness band Minimal jewelry Gym gloves / lifting straps Sunglasses on 0: 12–0:15 Training shoes Grab gym bag + water bottle Headphones / shaker Walk-out + final confident look STYLE: Minimal, neutral tones, soft beige/grey palette, natural indoor lighting, clean modern interior, athletic aesthetic CAMERA: Close-up + mid shots, soft focus, shallow depth of field, steady framing, subtle handheld realism TRANSITIONS: Match cuts, outfit snap transitions, fabric motion cuts, quick clean jump cuts synced to movement OUTPUT: Loopable, smooth pacing, satisfying flow, social media ready (vertical 9 : 16

Here we go GPT Image 2 and Seedance 2.0 is now live on insMind #insmind #insmindai Generated this GRWM video using the Prompt : Aesthetic “Get Ready With Me – Gym Edition” storyboard layout, minimal neutral-toned design, soft beige and cream color palette, clean editorial grid. Top header text: “GET READY WITH ME” subtitle: “gym edition” in elegant script font subheading: “step-by-step activewear routine” The layout is divided into 4 blocks, each showing a sequence (1–8 steps per row), featuring the same young woman throughout with consistent face, natural makeup, athletic toned body, hair tied in a messy bun or sleek ponytail. BLOCK 1 – BASE (1–8) 1–2: putting on a fitted sports bra 3–4: wearing high-waisted gym leggings 5–6: adjusting waistband / smoothing fit 7–8: mirror check, relaxed confident pose BLOCK 2 – LAYERS (9–16) 1–2: putting on oversized gym t-shirt or cropped top 3–4: adding lightweight zip-up hoodie or jacket 5–6: tying hair tighter / adjusting outfit 7–8: slight movement pose (stretching arms or twisting body) BLOCK 3 – DETAILS (17–24) 1–2: wearing smartwatch / fitness band 3–4: adding minimal jewelry (thin chain, studs) 5–6: putting on gym gloves or lifting straps 7–8: wearing sunglasses or tying hair final look BLOCK 4 – FINISH (25–32) 1–2: putting on training shoes (clean white sneakers) 3–4: grabbing gym bag / water bottle 5–6: holding headphones / protein shaker 7–8: full-body mirror shot, confident final look Side icons representing categories: base, layers, accessories, shoes, final look. Soft natural lighting, indoor minimal room or modern apartment, neutral background, clean shadows, editorial fashion photography style, consistent framing across all panels. Footer text: “You’re ready. Go own your workout.” Video prompt : Use provided storyboard image as reference CONCEPT: Get Ready With Me — Gym Edition TIMELINE: 0 : 00–0:04 Sports bra on High-waisted leggings wear Waistband adjustment Mirror check 0 : 04–0:08 Oversized tee / cropped top Lightweight hoodie or jacket Hair tie (ponytail/bun) Light stretch / body turn 0: 08–0:12 Smartwatch / fitness band Minimal jewelry Gym gloves / lifting straps Sunglasses on 0: 12–0:15 Training shoes Grab gym bag + water bottle Headphones / shaker Walk-out + final confident look STYLE: Minimal, neutral tones, soft beige/grey palette, natural indoor lighting, clean modern interior, athletic aesthetic CAMERA: Close-up + mid shots, soft focus, shallow depth of field, steady framing, subtle handheld realism TRANSITIONS: Match cuts, outfit snap transitions, fabric motion cuts, quick clean jump cuts synced to movement OUTPUT: Loopable, smooth pacing, satisfying flow, social media ready (vertical 9 : 16

Smiling Khan

31,594 次观看 • 3 个月前

american guy made $10,845 in a single month from a kids youtube channel he built with AI no camera, no animation skills, no voiceover. openart writes the script, generates the characters, renders the whole episode the numbers sound fake. first month the channel barely moved. that's where most people quit then one short hit 800K views. youtube started pushing it. and month three came in over $10,845 his whole workflow fits in one prompt. he opens openart, types a description of a 3D animated nursery scene, and the tool spits out a full short film ready to upload he showed it live. one prompt, one render, one upload. he can also vibe direct longer videos up to 5 minutes for higher CPM kids content is the highest-paying niche on youtube. parents leave it on autoplay for hours. one video can loop all day and the algorithm keeps feeding it to new viewers cocomelon does 10M views per video with a full studio. he does 100-200K views per video with a laptop. the CPM on kids content does the math for him no face on camera. no brand deals. no editing software. just prompts and uploads this used to take a pixar-level team and months of rendering. now it takes one AI tool and a free afternoon full workflow is in the video - save it before youtube patches the meta

0xbobaa

43,795 次观看 • 5 天前

NanoBanana 2 just made your static ad agency obsolete. And I just open sourced the entire tool. Drop your product page URL. It pulls your logos, product images, fonts, colors, and brand voice automatically. Builds a full brand guide for you. Then generates ad creatives at scale using nearly 4,000 high-performing ad templates across 8 niches. It dynamically matches the best templates to your brand and brief. Here's what makes it different: → Instant resizing Get any ad in 1x1, 4x5, 9x16 with one click. No regeneration. No broken text. → Highlight-to-edit See an issue? Highlight the area and tell it what to fix. → Multiple brand profiles Run different brands or segments from one tool. → Auto persona building from real customer reviews → Multiple QC loops on briefs and final assets Catches AI-isms before you do. → Upload your own templates or use ours Runs locally. Just needs your Claude and Google API keys. This is the lite version of what we use internally. You get the full finished tool AND the open source code to make it your own. Creatives still design the system, this handles iteration and scale. Want a copy to download? 1. Like this post 2. Comment "AI" Will DM you the tool along with a tutorial shortly after.

Peter Quadrel

291,755 次观看 • 4 个月前

1/7 Built a Polymarket trading bot over 3 months. Here are the biggest mistakes that cost me real money > Went from v1 to v61. Every version fixed something painful. --- 2/7 Stop Loss killed more money than it saved. > Binary markets need room to breathe - fluctuations are normal. > Stop Loss was cutting positions on random noise and locking in losses right before the market flipped. > Removed it in v61. Immediately better. --- 3/7 Martingale + Stop Loss = a loss cascade. > Seemed logical: lost $5 -> bet $8, lost again -> bet $10. > In practice: a losing streak plus early exits = a hole in your balance in a single day. > Killed it. For good. --- 4/7 Smart Exit without Force Exit is a trap. > Token hits 90c (+75% profit), but the bot was waiting for a "BTC reversal" signal. > Market closes, token drops, profit gone. > Fix: hard Force Exit at 85c. No conditions, no waiting. --- 5/7 Blocking the 5:30-10:30 PM ET window felt safe. It wasn't. > NYSE open = sharp spikes = bad signals. Made sense to block it. > But the full block was also killing clean entries at 8-10:30 PM. > Had to split the zone into segments with different edge/move thresholds. --- 6/7 The Gamma API lies about market start time. > Start price ("price to beat") is the core input for every signal. > Gamma was returning stale data. Had to pull prices directly from Chainlink on-chain on Polygon. > That's its own adventure - polling a smart contract every 2 seconds at 2 AM. --- 7/7 The real lesson: don't overcomplicate what works. > v1: complex system, 10 indicators -> -$200/day > v61: "buy the expensive token for $5, exit at +30%" -> consistently green > Simpler logic = fewer failure points. > The bot runs 96 intervals a day. Every mistake shows up fast.

1/7 Built a Polymarket trading bot over 3 months. Here are the biggest mistakes that cost me real money > Went from v1 to v61. Every version fixed something painful. --- 2/7 Stop Loss killed more money than it saved. > Binary markets need room to breathe - fluctuations are normal. > Stop Loss was cutting positions on random noise and locking in losses right before the market flipped. > Removed it in v61. Immediately better. --- 3/7 Martingale + Stop Loss = a loss cascade. > Seemed logical: lost $5 -> bet $8, lost again -> bet $10. > In practice: a losing streak plus early exits = a hole in your balance in a single day. > Killed it. For good. --- 4/7 Smart Exit without Force Exit is a trap. > Token hits 90c (+75% profit), but the bot was waiting for a "BTC reversal" signal. > Market closes, token drops, profit gone. > Fix: hard Force Exit at 85c. No conditions, no waiting. --- 5/7 Blocking the 5:30-10:30 PM ET window felt safe. It wasn't. > NYSE open = sharp spikes = bad signals. Made sense to block it. > But the full block was also killing clean entries at 8-10:30 PM. > Had to split the zone into segments with different edge/move thresholds. --- 6/7 The Gamma API lies about market start time. > Start price ("price to beat") is the core input for every signal. > Gamma was returning stale data. Had to pull prices directly from Chainlink on-chain on Polygon. > That's its own adventure - polling a smart contract every 2 seconds at 2 AM. --- 7/7 The real lesson: don't overcomplicate what works. > v1: complex system, 10 indicators -> -$200/day > v61: "buy the expensive token for $5, exit at +30%" -> consistently green > Simpler logic = fewer failure points. > The bot runs 96 intervals a day. Every mistake shows up fast.

Kotte

31,803 次观看 • 4 个月前

A CHINESE GUY STOPPED PAYING WEB DESIGNERS $1,800 PER LANDING PAGE AND BUILT THE SAME KIND OF SITE WITH CLAUDE CODE IN ONE AFTERNOON FOR LESS THAN $70 claude was not just writing code. it was doing the job of a designer, copywriter and frontend dev in one window. in 4 hours, one rough idea turned into the layout, color system, font choices, page sections and the full html/css/js build the real trick was the references. he gave claude 5 screenshots, made it ask 7 questions first, then pushed it toward one clear visual direction instead of accepting another generic ai-looking template the first version already looked solid. the second pass made it feel expensive: better typography, a darker palette, mobile cleanup, cursor effects, 6 micro-interactions and custom hero visuals his old workflow was burning $1,200 on design, $500 on frontend work and another $150 on small fixes every time he needed a new page. now the whole test costs less than $70 and the site still looks like something a $5,000 agency would ship the edge is not “ai builds websites.” the edge is that one person can now brief, critique, polish and launch in one afternoon without waiting 10 days for a designer to send version one

A CHINESE GUY STOPPED PAYING WEB DESIGNERS $1,800 PER LANDING PAGE AND BUILT THE SAME KIND OF SITE WITH CLAUDE CODE IN ONE AFTERNOON FOR LESS THAN $70 claude was not just writing code. it was doing the job of a designer, copywriter and frontend dev in one window. in 4 hours, one rough idea turned into the layout, color system, font choices, page sections and the full html/css/js build the real trick was the references. he gave claude 5 screenshots, made it ask 7 questions first, then pushed it toward one clear visual direction instead of accepting another generic ai-looking template the first version already looked solid. the second pass made it feel expensive: better typography, a darker palette, mobile cleanup, cursor effects, 6 micro-interactions and custom hero visuals his old workflow was burning $1,200 on design, $500 on frontend work and another $150 on small fixes every time he needed a new page. now the whole test costs less than $70 and the site still looks like something a $5,000 agency would ship the edge is not “ai builds websites.” the edge is that one person can now brief, critique, polish and launch in one afternoon without waiting 10 days for a designer to send version one

Gipp 🦅

295,658 次观看 • 2 个月前

Get ready for an epic 2024: GameSwift Modular Blockchain will propel web3 gaming to the next level. GameSwift AI 🎮 has a modular architecture designed to provide flexibility and scalability, tailor-made for the dynamic world of gaming. Forget monolithic limitations. GameSwift's modular magic allows you to customize and optimize your blockchain experience like never before. Think of it like a Lego set for your dApps, where you slot in the perfect pieces to create the ultimate gaming experience. 🧱 The GameSwift Modular Blockchain has it all: • Adaptability: Need a super fast chain for ultrafast transactions? zkEVM handles the heavy lifting while the modular design keeps everything optimized. • Flexibility: As technology evolves, the GameSwift ecosystem can adapt. Upgrade modules, integrate new features and stay cutting edge. GameSwift's modularity lets you mix and match capabilities to craft the perfect platform for your game. • Scalability: GameSwift's modular design effortlessly adapts to demand, ensuring smooth gameplay for all, even as your game explodes in popularity. CoinGecko includes GameSwift in Modular Blockchain category One important milestone has been crypto data platform CoinGecko recognizing GameSwift by including it in their "Top Modular Blockchain Coins by Market Cap" category. This emphasizes GameSwift's credibility, potential and hard work in the wider crypto marketplace. Notably, of the 3 projects in this category, GameSwift has the lowest market cap - making it a true gem for the next BTC halving and bull run. 🔥 The Success of Modular Blockchains As we all know, Celestia is a modular blockchain that has also seen great achievements, showing the power and potential of modular designs. With GameSwift being another highly innovative modular blockchain and its 2024 roadmap, we can be certain this project will continue to surge. And with its low market cap, GSWIFT token is undoubtedly the gem of modular blockchains in crypto. But wait, there's more! GameSwift's modularity also opens up a world of new possibilities for developers: • Optimize efficiency - focus on creating incredible playability without worrying about exorbitant fees. Speed up contract execution and build games that are fun and financially sustainable. • Focus on what matters - Forget security worries, GameSwift's ZK Shared Security system keeps your game safe while you concentrate on crafting the best possible experience. • Use cross-chains - seamlessly connect with other blockchains, expanding your reach and unlocking new opportunities for your game. And for $GSWIFT holders? Get ready for some sweet sidechain action! Stake your tokens to earn rewards from the games built on GameSwift's modular ecosystem. This is a win-win situation: developers get the tools they need to build amazing games and you get rewarded for being part of the GameSwift ecosystem. In conclusion, the GameSwift modular blockchain is the key to unlocking a world of possibilities, where developers can create without limits and players can experience games like never before. With GameSwift, the future of Web3 gaming is modular, adaptable, and limitless. 🚀

Get ready for an epic 2024: GameSwift Modular Blockchain will propel web3 gaming to the next level. GameSwift AI 🎮 has a modular architecture designed to provide flexibility and scalability, tailor-made for the dynamic world of gaming. Forget monolithic limitations. GameSwift's modular magic allows you to customize and optimize your blockchain experience like never before. Think of it like a Lego set for your dApps, where you slot in the perfect pieces to create the ultimate gaming experience. 🧱 The GameSwift Modular Blockchain has it all: • Adaptability: Need a super fast chain for ultrafast transactions? zkEVM handles the heavy lifting while the modular design keeps everything optimized. • Flexibility: As technology evolves, the GameSwift ecosystem can adapt. Upgrade modules, integrate new features and stay cutting edge. GameSwift's modularity lets you mix and match capabilities to craft the perfect platform for your game. • Scalability: GameSwift's modular design effortlessly adapts to demand, ensuring smooth gameplay for all, even as your game explodes in popularity. CoinGecko includes GameSwift in Modular Blockchain category One important milestone has been crypto data platform CoinGecko recognizing GameSwift by including it in their "Top Modular Blockchain Coins by Market Cap" category. This emphasizes GameSwift's credibility, potential and hard work in the wider crypto marketplace. Notably, of the 3 projects in this category, GameSwift has the lowest market cap - making it a true gem for the next BTC halving and bull run. 🔥 The Success of Modular Blockchains As we all know, Celestia is a modular blockchain that has also seen great achievements, showing the power and potential of modular designs. With GameSwift being another highly innovative modular blockchain and its 2024 roadmap, we can be certain this project will continue to surge. And with its low market cap, GSWIFT token is undoubtedly the gem of modular blockchains in crypto. But wait, there's more! GameSwift's modularity also opens up a world of new possibilities for developers: • Optimize efficiency - focus on creating incredible playability without worrying about exorbitant fees. Speed up contract execution and build games that are fun and financially sustainable. • Focus on what matters - Forget security worries, GameSwift's ZK Shared Security system keeps your game safe while you concentrate on crafting the best possible experience. • Use cross-chains - seamlessly connect with other blockchains, expanding your reach and unlocking new opportunities for your game. And for $GSWIFT holders? Get ready for some sweet sidechain action! Stake your tokens to earn rewards from the games built on GameSwift's modular ecosystem. This is a win-win situation: developers get the tools they need to build amazing games and you get rewarded for being part of the GameSwift ecosystem. In conclusion, the GameSwift modular blockchain is the key to unlocking a world of possibilities, where developers can create without limits and players can experience games like never before. With GameSwift, the future of Web3 gaming is modular, adaptable, and limitless. 🚀

ETHachi Uchiha | Crypto DEGENius

10,982 次观看 • 2 年前

This guy cracked the code on AI virtual influencers using real-time face filters and now D2C brands pay him $2,000 per UGC video. He got tired of watching D2C brands burn $4,000 on a single creator who takes 2 weeks to deliver one angle, so he built a setup that runs hyperrealistic AI girls in real-time from his own webcam, generating viral content without actresses, studios, or makeup artists. His monthly revenue hit $89,000 last month from a network of 7 AI personas across TikTok and Instagram, while the average UGC creator caps at $6K juggling 4 brand deals. Here is the exact breakdown: → The hardware is the moat, but most people butcher the setup in the first frame. You need the face mesh locked at 60fps with zero artifacting → Persona comes first, and if you mess this up nothing saves it. Name, backstory, voice tone, niche before a single clip is shot → Face selection is not random. You A/B test features (eye spacing, jawline, hair contrast with face-framing highlights) because some faces convert better in 9:16 → You are picking who your audience trusts, not who looks cool. That is your targeting baked into bone structure → Real-time physics run before the script, and this is what kills the uncanny valley that destroys watch time in 2 seconds → The filter has to survive the strap of a tank top, the texture of a knit cardigan, the hair flick. → Batching is the move 96 percent skip: one performance, multiple personas, three platforms. → The system pushes 12 pieces of content before lunch, while traditional brands test 2 creators per week and wonder why their CPAs are stuck at $94 The economics are stupid: each video costs him $4 in compute, sells for $1,500 to $3,000, and takes 14 minutes to produce. That is a 37,500 percent margin, while UGC agencies pay creators $400 to $800 per clip and net $200 after revisions. One supplement brand generated 14 variants with 7 personas in 4 hours and found a winner in 36 hours without flying a creator to LA. They were previously paying $1,200 per UGC video and burning $6,000 per week on content that did not scale. Now they spend $210 for 14 variants and their CPA dropped from $89 to $27. The avatars hold real products. Warm window light on the persona, cold neon on the operator. Mouth shapes sync to consonants, not just vowels. Just a webcam, a tracked face, and the discipline to move enough that the filter never has a chance to break.

Shade

135,682 次观看 • 2 个月前

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

30,762 次观看 • 8 个月前

Look at these photos Falcon 9 soaring into the sky. Falcon Heavy and Starship ready for the next mission. Starlink antennas simple, clean, ready for any terrain. The Boring Company’s machine that looks like industrial sculpture. Futuristic tunnels full of Teslas. And the man whose vision stands behind it all. It’s not a coincidence. It’s not just “technology.” It’s class itself. Zero unnecessary ornaments. Zero exaggeration. Just a pure, very high-quality product. You hold it in your hand, step inside, or look at it and immediately feel that everything is refined to the last detail. It works. It looks right. It lasts. Elon Musk has this rare quality: he’s a man with class. He doesn’t flaunt luxury or add things just “because they photograph well.” He chooses simplicity but the kind that’s executed perfectly. And he transferred exactly that same philosophy to his companies. The result? Engineering at the level of fashion. Design that’s modern yet has timeless elegance. Products that don’t just do the job they impress with their quality and quiet confidence. It’s no accident that the rocket looks like a work of art. That a Tesla interior feels minimalist yet luxurious. That a Starlink dish looks like it was designed by someone who understands aesthetics, not just connectivity. They all share one common thread: class. Not the loud, flashy kind. The real kind quiet, self-assured, and uncompromising. If you value things that are simply well-made without unnecessary bling, but full of character and top-tier quality this is the essence of what Elon has built. Elon Musk Starlink The Boring Company SpaceX Tesla Neuralink

Look at these photos Falcon 9 soaring into the sky. Falcon Heavy and Starship ready for the next mission. Starlink antennas simple, clean, ready for any terrain. The Boring Company’s machine that looks like industrial sculpture. Futuristic tunnels full of Teslas. And the man whose vision stands behind it all. It’s not a coincidence. It’s not just “technology.” It’s class itself. Zero unnecessary ornaments. Zero exaggeration. Just a pure, very high-quality product. You hold it in your hand, step inside, or look at it and immediately feel that everything is refined to the last detail. It works. It looks right. It lasts. Elon Musk has this rare quality: he’s a man with class. He doesn’t flaunt luxury or add things just “because they photograph well.” He chooses simplicity but the kind that’s executed perfectly. And he transferred exactly that same philosophy to his companies. The result? Engineering at the level of fashion. Design that’s modern yet has timeless elegance. Products that don’t just do the job they impress with their quality and quiet confidence. It’s no accident that the rocket looks like a work of art. That a Tesla interior feels minimalist yet luxurious. That a Starlink dish looks like it was designed by someone who understands aesthetics, not just connectivity. They all share one common thread: class. Not the loud, flashy kind. The real kind quiet, self-assured, and uncompromising. If you value things that are simply well-made without unnecessary bling, but full of character and top-tier quality this is the essence of what Elon has built. Elon Musk Starlink The Boring Company SpaceX Tesla Neuralink

Natalia El Ferrara

410,414 次观看 • 20 天前

$I built a content engine that runs on telegram. Two commands... /discover: sends out to 9 sources across HackerNews, Reddit communities covering AI automation, prompt engineering, vibe coding, and specialist newsletters. Pulls everything published in the last 24 hours, runs each item through an AI extraction layer that scores it against 100+ niche keywords, deduplicates, and drops the relevant ideas into a Notion database. Takes about 90 seconds. Costs fractions of a cent. /ideas: this command pulls the top scored ideas from that database, randomizes the selection so you're not seeing the same ones every time, and sends them to you in a clean numbered list. You reply with /write 3 or whatever you choose, and the system researches the topic using Perplexity's live web search, generates three distinct outline options with different angles and hooks, saves them to a Google Doc, and sends you a message telling you they're ready. You read the outlines, and you pick one. You then reply with the command /outline 2. The system writes the full piece in your voice, following your brand guidelines, with specific examples and concrete claims. It can be done in under two minutes of your time. The whole thing runs on n8n, with no subscriptions beyond what you already use. If content takes too long or you don't have ideas, this solves that. I built this for myself; I can do it for you. If you're tired of knowing you should be posting and still not doing it, let's talk.$

I built a content engine that runs on telegram. Two commands... /discover: sends out to 9 sources across HackerNews, Reddit communities covering AI automation, prompt engineering, vibe coding, and specialist newsletters. Pulls everything published in the last 24 hours, runs each item through an AI extraction layer that scores it against 100+ niche keywords, deduplicates, and drops the relevant ideas into a Notion database. Takes about 90 seconds. Costs fractions of a cent. /ideas: this command pulls the top scored ideas from that database, randomizes the selection so you're not seeing the same ones every time, and sends them to you in a clean numbered list. You reply with /write 3 or whatever you choose, and the system researches the topic using Perplexity's live web search, generates three distinct outline options with different angles and hooks, saves them to a Google Doc, and sends you a message telling you they're ready. You read the outlines, and you pick one. You then reply with the command /outline 2. The system writes the full piece in your voice, following your brand guidelines, with specific examples and concrete claims. It can be done in under two minutes of your time. The whole thing runs on n8n, with no subscriptions beyond what you already use. If content takes too long or you don't have ideas, this solves that. I built this for myself; I can do it for you. If you're tired of knowing you should be posting and still not doing it, let's talk.

Savvy | Ai & Automation

15,746 次观看 • 4 个月前