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Intact.Simulation for nTop connector runs directly on implicit geometry, fully compatible with nTop blocks. Supports structural, thermal, and modal analysis, from quick design checks through higher-fidelity evaluation as a design matures. No conversion, no simplification, no mesh.

nTop

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10,653 просмотров • 10 дней назад •via X (Twitter)

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Introducing the new dMeet v2 Create your profile. Find people by username. Call anyone directly — no links, no scheduling. No phone number needed. Fresh design. New logo. Rebuilt from the ground up on iOS, Android, and Web. dMeet started as a meeting tool. Now it's more than that. What's new: → User profiles with username, bio & avatar → Direct audio & video calls to any user → Favorites for people and rooms Try it now →

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19-year-old from china makes $9,000/month designing product sites and ships each one in an afternoon. here's his exact setup the whole thing runs on two tools that each do one job: > brief written by hand: 5 min > Moonchild builds the design system, then every screen from it: 20 min > MCP hands the design to Claude as real structure, not a screenshot: instant > Claude Code reads those exact tokens and builds the live app: 20 min > second Claude session reviews the build for drift: 10 min total: about an hour. screen five still matches screen one. no agency, no dev, no design team the trick is MCP. the design tool passes Claude the actual colors, components and layout, so it builds from the source instead of guessing from a picture. full pipeline, every prompt, in the article above.

19-year-old from china makes $9,000/month designing product sites and ships each one in an afternoon. here's his exact setup the whole thing runs on two tools that each do one job: > brief written by hand: 5 min > Moonchild builds the design system, then every screen from it: 20 min > MCP hands the design to Claude as real structure, not a screenshot: instant > Claude Code reads those exact tokens and builds the live app: 20 min > second Claude session reviews the build for drift: 10 min total: about an hour. screen five still matches screen one. no agency, no dev, no design team the trick is MCP. the design tool passes Claude the actual colors, components and layout, so it builds from the source instead of guessing from a picture. full pipeline, every prompt, in the article above.

Ridark

19,477 просмотров • 2 месяцев назад

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

43,154 просмотров • 2 месяцев назад

Claude Design is f*cking cracked for landing pages 🤯 Find any competitor's e-com lander → feed it to Claude Design w/ your brand's design system → get back a fully rebuilt version in your brand, your copy, your design. All inside Claude Design. Perfect for DTC brands and agencies who are still paying freelancers to build advertorial pages from scratch. If you're finding landers that have been running on Meta for 6+ months and want to test the same structure for your brand —> Briefing a designer, waiting a week, getting back a flat mockup, giving notes, waiting again... Claude Design eliminates the entire loop: → Use Go Full Pag to screenshot the full competitor lander → Feed it to Claude Design with your design system → Prompt it to extract the exact section structure and rebuild it for your brand → It rewrites all copy, applies your fonts, colors, and layout → Iterate section by section — send a screenshot of what you want to fix, it fixes it → Drop in your product images and founder photos as you go No designer. No back-and-forth briefs. No starting from scratch. What you get: -> Full production-ready lander built around a proven structure that's already converting on Meta -> Live elements (countdown timers, animated sections) auto-generated -> Mobile and desktop versions you can refine with plain-English prompts -> A repeatable system — new competitor, new screenshots, same pipeline I put together a full playbook breaking down the exact process — the prompts, the section-by-section editing approach, and how to set this up for any competitor lander. Want it completely for free? > Like this post > Comment "CLONE" And I'll send it over (must be following so I can DM)

Mike Futia

37,922 просмотров • 3 месяцев назад

Self-custodial spending just hit a real milestone 💳 Avici processed $10M in real world transactions without users giving up their keys That number proves something the industry has been trying to solve for years Traditional crypto cards require deposits into custodial wallets. Card issuer holds your funds. You spend from their balance The self-custodial model flips it Stablecoins stay in your wallet until point of sale. Conversion happens in real time through Apple Pay and Google Pay Coffee, flights, daily purchases settle directly from your balance No custody handoff. No withdrawal process 🏦 0% fees exist because there's no intermediary holding balances. No spend limits exist because there's no credit risk when users control funds 100M+ merchants accept it through existing payment rails The gap between holding crypto and spending it used to force a choice between security and usability That tradeoff is becoming optional as infrastructure matures

Self-custodial spending just hit a real milestone 💳 Avici processed $10M in real world transactions without users giving up their keys That number proves something the industry has been trying to solve for years Traditional crypto cards require deposits into custodial wallets. Card issuer holds your funds. You spend from their balance The self-custodial model flips it Stablecoins stay in your wallet until point of sale. Conversion happens in real time through Apple Pay and Google Pay Coffee, flights, daily purchases settle directly from your balance No custody handoff. No withdrawal process 🏦 0% fees exist because there's no intermediary holding balances. No spend limits exist because there's no credit risk when users control funds 100M+ merchants accept it through existing payment rails The gap between holding crypto and spending it used to force a choice between security and usability That tradeoff is becoming optional as infrastructure matures

DeFi Oracle 🔮

12,068 просмотров • 7 месяцев назад

Claude Design + Shopify is f*cking ridiculous 🤯 You can now publish pages from Claude Design → Claude Code → Shopify. Built 100% with Claude Design, Claude Code, and the Shopify CLI. Perfect for DTC brands and agencies who want to skip the design → dev handoff entirely. Here's how it works: → Design any landing page in Claude Design → Export as a zip and drop it into Claude Code → Install the Shopify + Shopify AI Toolkit plugins → Prompt Claude to convert the HTML into a Shopify page template + push to live theme → Claude uploads the images, deploys the files, and creates a published page No more handing designs off to a dev and waiting 2 weeks for a Shopify page. What you get: - A workflow that turns any Claude Design page into a real Shopify page template - Editable sections so your marketing team can swap copy, images, and CTAs without code - Images uploaded straight to Shopify Files automatically - A files-only deploy that only touches what's new in your live theme - A repeatable pipeline you can use every time you design a new landing page This is essentially the design-to-deploy pipeline brands have been waiting for. I put together a step-by-step playbook for going from Claude Design → published Shopify page. Every install, every plugin, every command, and the exact prompt that runs the whole thing. Want the playbook for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Claude Design + Shopify is f*cking ridiculous 🤯 You can now publish pages from Claude Design → Claude Code → Shopify. Built 100% with Claude Design, Claude Code, and the Shopify CLI. Perfect for DTC brands and agencies who want to skip the design → dev handoff entirely. Here's how it works: → Design any landing page in Claude Design → Export as a zip and drop it into Claude Code → Install the Shopify + Shopify AI Toolkit plugins → Prompt Claude to convert the HTML into a Shopify page template + push to live theme → Claude uploads the images, deploys the files, and creates a published page No more handing designs off to a dev and waiting 2 weeks for a Shopify page. What you get: - A workflow that turns any Claude Design page into a real Shopify page template - Editable sections so your marketing team can swap copy, images, and CTAs without code - Images uploaded straight to Shopify Files automatically - A files-only deploy that only touches what's new in your live theme - A repeatable pipeline you can use every time you design a new landing page This is essentially the design-to-deploy pipeline brands have been waiting for. I put together a step-by-step playbook for going from Claude Design → published Shopify page. Every install, every plugin, every command, and the exact prompt that runs the whole thing. Want the playbook for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Mike Futia

58,863 просмотров • 3 месяцев назад

San Francisco-based company Humble Robotics unveiled a Fully Autonomous and Cabless Class 8 Electric Semi Truck. • 360° sensor coverage with cameras, LiDAR, and radar. • 200 mile range • 55 mph top speed • Cabless, no interior • Optimized for standard 40’ and 53’ shipping containers. • Designed for short-haul freight in seaports, railyards, warehouses, and intermodal operations. The company is still in its prototype phase, and no price has been released yet. As always, Prototypes are easy, production is hard. There is a company in China developing a similar concept (cabless design).

San Francisco-based company Humble Robotics unveiled a Fully Autonomous and Cabless Class 8 Electric Semi Truck. • 360° sensor coverage with cameras, LiDAR, and radar. • 200 mile range • 55 mph top speed • Cabless, no interior • Optimized for standard 40’ and 53’ shipping containers. • Designed for short-haul freight in seaports, railyards, warehouses, and intermodal operations. The company is still in its prototype phase, and no price has been released yet. As always, Prototypes are easy, production is hard. There is a company in China developing a similar concept (cabless design).

Nic Cruz Patane

301,466 просмотров • 4 месяцев назад

📅 ISO 20022: A key deadline is approaching for cross-border payments. From November 2026, fully unstructured postal addresses will no longer be supported in CBPR+ messages – payments risk being rejected or delayed if not compliant. This change is a community‑driven standards evolution, endorsed through the formal maintenance process and country vote, and directly supports the G20 goals of improving data quality and transparency in cross‑border payments. Prepare early and ensure data readiness: #CrossBorderPayments #ISO20022

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Swift

288,773 просмотров • 2 месяцев назад

China just dropped an open source model that turns any phone into a 3D scanner you point it at a room and walk through it the whole space builds itself into a 3D point cloud in real time as the camera moves, no LiDAR and no depth sensor anywhere it held a full 13 minute walkthrough at 25,000 frames without the map drifting or collapsing > ~20 fps on a single GPU > works indoors and outdoors from plain footage > the scan normally needs a $50,000 rig and a technician > Apache 2.0 and runs fully offline on your machine repo in the reply

China just dropped an open source model that turns any phone into a 3D scanner you point it at a room and walk through it the whole space builds itself into a 3D point cloud in real time as the camera moves, no LiDAR and no depth sensor anywhere it held a full 13 minute walkthrough at 25,000 frames without the map drifting or collapsing > ~20 fps on a single GPU > works indoors and outdoors from plain footage > the scan normally needs a $50,000 rig and a technician > Apache 2.0 and runs fully offline on your machine repo in the reply

savip

104,123 просмотров • 1 месяц назад

My OpenClaw bot scraped 1,000+ local business websites, took screenshots of every single one, and used them to train an AI model that scores website design quality automatically Here's what it did: → Scraped 1000+ local businesses from Google Maps → Screenshotted every website → Trained an AI model on 1,000+ sites to score design 0–100 → Flagged the worst ones as hot leads No more manually finding clients with bad websites, it finds them for you in seconds Reply "OpenClaw" and I'll send you the whole system for free

My OpenClaw bot scraped 1,000+ local business websites, took screenshots of every single one, and used them to train an AI model that scores website design quality automatically Here's what it did: → Scraped 1000+ local businesses from Google Maps → Screenshotted every website → Trained an AI model on 1,000+ sites to score design 0–100 → Flagged the worst ones as hot leads No more manually finding clients with bad websites, it finds them for you in seconds Reply "OpenClaw" and I'll send you the whole system for free

Chris

112,310 просмотров • 5 месяцев назад

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

233,051 просмотров • 2 месяцев назад

I just built a full website in minutes with Webflow No templates. No coding. Just AI doing all the work. Most people spend weeks designing websites. AI builds them instantly fully customized, no limits. → Describe your website idea → Pick colors, fonts, and layout → AI generates pages instantly → Customize visually & launch in minutes I tested it on a new project. → Before: Hours spent tweaking templates → Now: AI built a complete site in under a few minutes No drag-and-drop. No hiring developers. Just pure AI-powered web design. Perfect for startups, creators, and businesses looking to scale fast. If you’re still building websites the old way, you’re wasting time. Try Webflow AI Site Builder → Would you trust AI to build your next website?

I just built a full website in minutes with Webflow No templates. No coding. Just AI doing all the work. Most people spend weeks designing websites. AI builds them instantly fully customized, no limits. → Describe your website idea → Pick colors, fonts, and layout → AI generates pages instantly → Customize visually & launch in minutes I tested it on a new project. → Before: Hours spent tweaking templates → Now: AI built a complete site in under a few minutes No drag-and-drop. No hiring developers. Just pure AI-powered web design. Perfect for startups, creators, and businesses looking to scale fast. If you’re still building websites the old way, you’re wasting time. Try Webflow AI Site Builder → Would you trust AI to build your next website?

Muhammad Ayan

82,928 просмотров • 1 год назад

Phase Shift Initiated Since before GTC 2024, NVIDIA GDN (Graphics Delivery Network) has been a strong catalyst for the enthusiasm we have seen for our innovation, not only among the community but also among the team. NVIDIA’s technology, platforms, and teams have consistently inspired us - with GDN being no exception. Recently, we’ve recalibrated our development efforts, doubling down on bringing our release to GDN’s cutting-edge infrastructure. Five of our developers are now fully focused on GDN integration, and in this week alone, we’ve achieved four major backend milestones, and are quickly closing in on three more. These advancements are propelling Web3 technology directly onto NVIDIA GeForce Servers. By harnessing NVIDIA GDN platform, we’re transforming high-fidelity 3D content into a seamless Web3 experience accessible anywhere—directly in your browser. No downloads. No accounts. Just Blockchain. This breakthrough eliminates the reliance on high-end hardware, redefining accessibility for industries like gaming, manufacturing, and media. With Kondux and GDN, even the most resource-intensive 3D applications can be effortlessly streamed to any device, delivering unmatched performance and interactivity. We’re not just overcoming barriers; we’re creating an entirely new playground for high-fidelity 3D assets.

Phase Shift Initiated Since before GTC 2024, NVIDIA GDN (Graphics Delivery Network) has been a strong catalyst for the enthusiasm we have seen for our innovation, not only among the community but also among the team. NVIDIA’s technology, platforms, and teams have consistently inspired us - with GDN being no exception. Recently, we’ve recalibrated our development efforts, doubling down on bringing our release to GDN’s cutting-edge infrastructure. Five of our developers are now fully focused on GDN integration, and in this week alone, we’ve achieved four major backend milestones, and are quickly closing in on three more. These advancements are propelling Web3 technology directly onto NVIDIA GeForce Servers. By harnessing NVIDIA GDN platform, we’re transforming high-fidelity 3D content into a seamless Web3 experience accessible anywhere—directly in your browser. No downloads. No accounts. Just Blockchain. This breakthrough eliminates the reliance on high-end hardware, redefining accessibility for industries like gaming, manufacturing, and media. With Kondux and GDN, even the most resource-intensive 3D applications can be effortlessly streamed to any device, delivering unmatched performance and interactivity. We’re not just overcoming barriers; we’re creating an entirely new playground for high-fidelity 3D assets.

Kondux

96,043 просмотров • 1 год назад

🚨 NO JOKE… just a random Reddit guy printing $10k+ per week on Polymarket REAL setup. REAL results. Powered by Clawdbot relevant for ANYONE on Polymarket. With a small initial position and Clawdbot managing execution, the setup now delivers around $10K per week No insiders Not in the Epstein files Just a dev + Clawdbot + Polymarket Profile → Copytrade → After digging into the system, I was honestly impressed No hype trades. No discretionary decisions Fully automated, end to end FULL strategy breakdown: 1. Short-window BTC & ETH arbitrage (15m) The system targets fast Bitcoin and Ethereum markets on 15-minute intervals. In these contracts, temporary inefficiencies appear when YES + NO price below $1. With Moltbot (Clawdbot) directly connected to Polymarket, those gaps are captured instantly no predictions, no directional exposure, no bias 2. Speed over discretion During volatility spikes, humans hesitate the system doesn’t. Execution is fully mechanical: no pauses, no second-guessing, no latency. By the time traders react, the inefficiency is already gone 3. Automation compounds edges Each cycle extracts small amounts, not outsized wins. But nonstop operation enables relentless repetition at scale, allowing minor edges to compound into consistent, meaningful returns Scale is the real edge 11,782 executions. Individually insignificant. Collectively, they compounded into ~$10K per week The takeaway From where I stand, a quiet bot arms race is already unfolding on Polymarket Humans argue entries Systems exploit mechanics As long as structural inefficiencies exist, autonomous setups will keep extracting value silently, consistently, without fatigue FOLLOW ON MY X ACCOUNT PLS 🙏🙏🙏

Shelpid.WI3M

67,214 просмотров • 7 месяцев назад

🚨 BREAKING: The top-performing 5m & 15m Polymarket Claw-style setup just went public. Sounds insane? Yes. Unreal? Not even close. A random late night turned into a small wallet evolving into a fully automated machine that scaled to ~$1.6M in profit. No insider access. No team affiliation. Just code connected directly to Polymarket. Profile → Copytrade → I tracked this wallet for weeks. It didn’t look human. No narratives. No discretionary entries. Zero manual execution. Everything automated. Here’s the core: 1️⃣ 5m & 15m BTC/ETH latency inefficiencies When BTC moves on Binance, Polymarket reprices slower. For ~20–30 seconds, odds reflect stale data. If YES + NO reaction Volatility spikes? Humans hesitate. The system doesn’t. By the time manual traders click, the window is gone. 3️⃣ Scale through repetition No single “hero trade.” Small spreads. Repeated constantly. 19,021 trades. Largest gain: $48K. Total profit: $1,624,305. Equity curve? Almost vertical. Bottom line: Most traders try to predict. These systems extract inefficiencies. As long as latency exists, bots will keep farming.

Phantom_Defi

70,888 просмотров • 6 месяцев назад

🚨BREAKING… the top-performing 5m & 15m Polymarket Clawdbot setup just became public Sounds insane? 100%. Unreal? NOT at all. If you’re active on Polymarket, this should have your FULL attention. A random late night turned into a small wallet launching a fully automated machine that expanded into ~$1.6M in profit No insider access No affiliation with the Polymarket team Just a developer operating a bot directly connected to Polymarket Profile → Copytrade → I monitored this wallet for weeks and honestly, it barely looked real No narrative setups No discretionary decisions Zero manual execution Everything is fully automated His FULL strategy: 1. 5 & 15-minute BTC & ETH latency arbitrage The bot trades ultra-short Bitcoin and Ethereum markets with 5 & 15-minute expirations - and similar logic applies to fast 5m markets often associated with Clawdbot-style execution. When BTC moves on Binance, Polymarket pricing reacts slower. For around 30 seconds, odds reflect stale data. The system enters during that gap, when YES + NO combined is below $1, waits for repricing, and exits the moment the market corrects. No predictions, no bias - just harvesting mispriced odds 2. Automation over reaction When volatility spikes, humans pause. The system doesn’t. It triggers instantly when the window opens. No emotion, no hesitation, no missed fills. By the time manual traders click, the inefficiency has already disappeared 3. Scale through repetition Each trade earns small spreads, not headline wins. But automation allows continuous execution at scale, every 15 minutes - and on faster 5m rotations running 24/7 without burnout Scale is the edge 19,021 trades placed - irrelevant on their own. Together, they compounded into $1,624,305 in profit, with a largest single gain of $48K and an equity curve that trends almost vertically Bottom line Bots are already competing in a quiet arms race on Polymarket, especially across 5m and 15m markets where Clawdbot-style systems dominate Most traders try to forecast what’s next These systems monetize inefficiencies in real time And as long as latency and structural gaps exist, autonomous bots will continue extracting value

Shelpid.WI3M

225,957 просмотров • 6 месяцев назад

QWEN 3.8 MAX + DEEPSEEK V4 PRO BOTH FREE ON ONE ENDPOINT • the gateway > Qwen3.8-Max (2.4T MoE) + DeepSeek V4 Pro free tiers: > Sign up -> one API key -> start with no card for free tier. > Free is tight by design -- they’re letting you taste the real thing before you scale. • wiring it up > Base url: >Model IDs exact: qwen/qwen3.8-max-free and deepseek/deepseek-v4-pro-0813-free. > Drop straight into Cursor/Claude Code/any OpenAI-compatible client. Good for long agent runs you leave open on a second screen, slow for anything interactive. Point it at side projects and experiments, not at the code you would mind a stranger reading ↓

QWEN 3.8 MAX + DEEPSEEK V4 PRO BOTH FREE ON ONE ENDPOINT • the gateway > Qwen3.8-Max (2.4T MoE) + DeepSeek V4 Pro free tiers: > Sign up -> one API key -> start with no card for free tier. > Free is tight by design -- they’re letting you taste the real thing before you scale. • wiring it up > Base url: >Model IDs exact: qwen/qwen3.8-max-free and deepseek/deepseek-v4-pro-0813-free. > Drop straight into Cursor/Claude Code/any OpenAI-compatible client. Good for long agent runs you leave open on a second screen, slow for anything interactive. Point it at side projects and experiments, not at the code you would mind a stranger reading ↓

slash1s

14,218 просмотров • 21 дней назад

>be 19yo uni student >get into guns, think of design fix problems with current designs >shelve drawings because broke and scammed by uni tuition >graduate early, spend several years as code monkey >late 20s, jeets and MBAs destroy SWE job market >pull out drawings from a decade ago, start making 3d models out of drawings >design new bullpup rifle from scratch in 3 months >design barely works, since no exp or creds in MechE >keep fixing issues and burning through savings >start YT to document build process, terrible prod quality, barely get any views/subs >finally get it working, parts keep breaking >both patents granted b4 30th birthday >make DFM, weight, cost optimizations, reduce parts count, fix breakages, continue testing >start open sourcing parts of rifle >still suck at marketing/social media >looking for MFG to license

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>be 19yo uni student >get into guns, think of design fix problems with current designs >shelve drawings because broke and scammed by uni tuition >graduate early, spend several years as code monkey >late 20s, jeets and MBAs destroy SWE job market >pull out drawings from a decade ago, start making 3d models out of drawings >design new bullpup rifle from scratch in 3 months >design barely works, since no exp or creds in MechE >keep fixing issues and burning through savings >start YT to document build process, terrible prod quality, barely get any views/subs >finally get it working, parts keep breaking >both patents granted b4 30th birthday >make DFM, weight, cost optimizations, reduce parts count, fix breakages, continue testing >start open sourcing parts of rifle >still suck at marketing/social media >looking for MFG to license

John Galt

1,310,693 просмотров • 2 месяцев назад