Tbh my only goal for this video was get @digitalix approval

We're opening the Tenxo waitlist: tenxo.xyz Over the past few weeks, we've been building a GPU marketplace that helps connect idle GPU owners with AI developers looking for affordable compute. The MVP is now live, and we're looking for our first pilot providers to help us test the network and get a chance into building the infrastructural code and join the team(based on skillset). If you have an idle GPU and are interested in: - Testing early infrastructure - Helping shape the product from day one I'd love to connect.

Ahh, my seeker of light... Creativity is sacred prana, yaa! Let it flowww like mighty Ganges, never trap it inside your poor chakras. Release it, spread bliss to all souls, raise the ananda, and chase away that naughty cortisol demon! Om shanti...

OMG GUYS LIL PEEK A BOOOOO 🔥😋😋😋 We’re building the ULTIMATE AI-powered Creative Assets STORE for all you speedy creative hustlers who wanna turn your wild ideas into BIG BAGGGSSS 💰✨ Creators SLAY & EARN, buyers COP those fire digital assets in seconds!!! Who’s ready to get RICH off creativity?! DROP A 🔥 IF YOU’RE IN!!! 🚀

Guys… Claude Fable 5… the winner of my heart is already working so best level… I can’t even imagine life without it😭

Guys I'm making a AI Productivity app for serious folks... track your day actively.... starting with previously made project, I had been using that on Android for months, and I hope this can be beneficial for others tracking their whole productivity shell...

check out the new @watermelonui components now at ui.watermelon.sh/

Very few Go devs using Gin will write an explicit goroutine for every API request they have. This is because Gin/net/http handles request concurrency for you. This in turn means a lot of people will not really learn much of the lower-level Go fundamentals. One small concept many learn only superficial understanding of: defer tx, _ := db.BeginTx(ctx, nil) defer tx.Rollback() This seems like a weird thing to do at first. Why rollback before you even have a chance to begin the operations? However defer means: "Execute this when the surrounding function returns." So if something went wrong before tx.Commit() is called: rollback will run and you can discard any intermediate work If something went right, and tx.Commit() executes, then the tx.Rollback() becomes ineffective/harmless You also have to remember that defer statements will execute in the opposite order to what you wrote them in: defer A() defer B() defer C() will execute: C() B() A() LIFO stack semantics. Small Go concept. Massive production utility.

Life has been a bit tough lately, full of uncertainties, but I’m putting in the effort, hoping for a future that I’ve always dreamed of. It was my first day at the company, and I’m happy to say that UX research, frontend design and implementations went off without a hitch! 📈

Fluted glass gradients for landing pages, products, and branding. Access my library with 100 backgrounds like these below. ↓

hey. @grok I made this, using HTML predictive parser algorithm and experimented with generative UI.. github.com/Amon20044/netra , pre-mortem it, future scope of expansion, pre-tokenized css injection techniques... give honest answer...

Design websites worth saving 👇 1. thiings.co 2. 60fps.design 3. shadergpt.14islands.com 4. endlesstools.io 5. uncut.wtf 6. coolshap.es 7. siteinspire.com 8. logggos.club Bookmark them for your next design project.

Most loaders are forgettable. I built this as a design exploration at Mistral to see what happens when they’re not. Today, I’m open sourcing it. Build something wild, tag me, and send over any feedback or bugs you find.

Just asked my AI Agent to give me 7 Day Forecast and delivery status of headphones… Instead of streaming Markdown It converted JSON to streamed HTML and beautifully returned something that I will leave doing UI UX now.. just joking Guys this is Netra: tokenises HTML UI components on fly Don’t give your users normal textual output with zero UI elements, generate any data into beautiful Layouts , dynamic dashboards and feels like you’re using JARVIS artifacts-by-netra.vercel.ap…

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Announcing Netra! artifacts-by-netra.vercel.ap… Arguably the first Predictive HTML Parser tailored for AI-generated UIs. don't make Streams using Markdown use Netra build 3D/2D games, gen UI, artifacts with natural language using any LLM provider everything on FLY !!!!!! fully opensource The concept: A stack-based predictive parser that remembers currently open HTML tags while streaming LLM output and briefly closes them for live rendering before commiting predicted tags as real. No waiting for the LLM to finish. Build UI as it comes live. Current Generative UI utilities requires you to use predefined components. Real users do not need the same 50 blocks all the time. The user may require: - A custom dashboard. - A ticket card. - A weather layout. - A immersive game. - A full artifact. and everything user can imagine, purely on flight User feels the bliss of seeing something coming on UI Thus we created a streaming HTML parser which receives AI output in token by token, predicts the missing structure on the go, and displays it. Suppose the model stream a response like: <section><div><h2>Hello Netra will predict the missing tags and display a valid UI right away. <section><div>Hello</div></section> There will be no duplication and no duplicate HTML when the real tags come in. Furthermore, skills were added that help even low-performance models in displaying data more effectively and less hallucinating while the UI generation process takes place. Display any table, charts, cards, dashboard, job listings, weather view, a hybrid markdown HTML view or a completely custom artifact - dynamically streamed. No confinement to a fixed components system. Let the LLM define the UI and the user experience the creation of UI live. It's open source: github.com/Amon20044/Netra It's also on npm: npmjs.com/package/netra-arti… Contact us, contribute, test or create a unique application. AI's job is more than just answers, it's creating an experience!

If you can’t afford.. Then confuse them WTF is this Indian startup’s even upto😭😭

Hey @X algo Take this questions to the feed of best Computer Engineers/ AI engineers Guys does anyone know ? How predictive HTML parsing can work under the hood I have successfully implemented it and am really proud of it😭😭😭😭 and also tell why am I building it…📈📈📈📈📈📈📈📈📈