标签：#labs

This is a submission for Weekend Challenge: Passion Edition What I Built The theme was passion, and mine has always been the sky and everything beyond it. Day or night, there's a specific kind of awe in remembering that the sky isn't a backdrop. It's real, it's happening right now, and every point of light is an actual place. Night is simply when you can see the most of it. I wanted to put that feeling into a browser tab. Zenith takes your location, cinematically lowers you from orbit down onto your exact spot on Earth, and becomes a first-person view of your real sky, one you can drag to look around. Every star is where it actually is. The Sun, the Moon, and the visible planets are computed for your latitude, longitude, and this exact minute, and placed where they truly are. It isn't a fixed picture either: the whole sky rotates slowly in real time, so stars rise and set while you watch. Tap any object and you travel to it. The camera flies out through the real starfield, the object grows from a point into a detailed close-up, and a short, grounded briefing appears telling you what you're actually looking at, from where you're standing, right now. A warm voice reads it to you. Stay a while and Zenith reminds you that there are people over your head: it shows how many humans are in space this moment, by name, and draws the real International Space Station crossing your sky whenever it's above your horizon. Not information about space. The quiet, enormous wonder of looking up and knowing, for a moment, exactly what you're looking at. Demo Live: https://zenith-rgerjeki.vercel.app A short walkthrough: the descent to your location, dragging the real sky, and flying to a planet for an AI briefing read aloud in a warm voice. Code rgerjeki / Zenith Zenith The sky above you, right now. I've always been drawn to the sky, and everything beyond it. Zenith is a first-person view of yours : it takes your location, lowers you onto your exact spot on Earth, and gives you the real

"The BOHR mission serves as a pathfinder for future nuclear-powered spacecraft."

Every beginner developer hits the same issue at some point. You learn a few basics, finish a tutorial, and then you have no idea what to build next. That gap can feel bigger than learning the code itself, because now the question is not “How do I write this?” but “What should I build at all?” This article is for that moment. I want to make it simple, practical, and useful, because project ideas do not need to be too advanced to be valuable. A good project is one that teaches you something, keeps you going, and gives you enough confidence to build the next one. Why project ideas are important There’s a common thing that I have noticed in most of the beginners, that is, watching too many tutorials. Tutorials are helpful, but actual learning starts when you try to build something on your own. That is when you start facing real decisions, small bugs, unclear logic, and the feeling of connecting different parts into one working product. That is one of the reasons why project ideas matter so much. The right idea gives you direction, but it also gives you energy. When the project feels too huge, you get stuck. When it feels too small or boring, you stop caring. The sweet spot is a project that feels possible and still a little exciting. This matters even more today. Tools like ChatGPT or Copilot can help you write code faster, but that doesn't solve the real problem beginners have. Writing the code was never the hard part for long but knowing what to build is. Start with problems you already know The easiest project ideas often come from your own life. Think about small things you do every day that feel annoying, repetitive, or messy. A simple to-do list, habit tracker, note saver, expense log, study planner, or meal planner can all become strong beginner projects if you build them well. This works because the problem is already familiar to you. You do not have to invent a fake use case or force a complicated feature list. You already know what the app should do, what feel

A new report finds "high-intensity AI adopters” saw headcount increase 10.2%. Among those companies, entry-level headcount rose by 12%, countering the rhetoric that AI kills junior jobs.

Over 100 companies and government agencies are reportedly authorized to use Mythos 5, including their non-American employees.

Aseon Labs, which came out of Y Combinator's 2026 spring cohort, has raised $10 million from Crane Venture Partners and others.

In the hyper-competitive landscape of modern B2B outbound sales, speed-to-lead and outreach capacity are the ultimate drivers of pipeline volume . Yet, traditional Sales Development Representative (SDR) teams face a exhausting bottleneck: reaches and qualifications are limited by human bandwidth . A typical outbound SDR spends up to 80% of their day dialing numbers, navigating IVR phone trees, hitting voicemail, and dealing with incorrect contact records. When an inbound lead submits a form requesting a product demo, the average company takes 42 minutes to respond. By that time, prospect engagement has cooled by over 400%. To shatter this operational limit, modern revenue operations (RevOps) teams are transitioning from rigid auto-dialers and static voice bots to autonomous voice AI sales agents . By pairing the hyper-realistic conversational engine of ElevenLabs with the visual orchestration power of n8n , you can deploy a scalable, context-aware calling agent that handles inbound qualification and outbound follow-up calls in real-time. This technical blueprint provides an end-to-end guide to designing, securing, and deploying a production-grade Voice AI Sales Agent using ElevenLabs Conversational AI and n8n . We will cover how to manage conversation state, execute live database tool calls, secure webhook communication, route calls dynamically, and configure infrastructure to achieve sub-second response latency . The Architecture of an Enterprise Voice Agent Building a conversational voice agent requires a multi-layered system that operates in near real-time. When a human speaks over a telephony network, their voice must be digitized, transcribed, processed by a large language model (LLM), synthesized back into audio, and sent back down the line—all within a fraction of a second. To ensure stability, scalability, and absolute separation of concerns, our architecture decouples the telephony and voice generation layer from the logic and database integration layer . [

The modified Ioniq 5 will be loaded with sensors to capture data for Uber's new AV Labs division.

The caveat is that one of the world's most famous living directors is using the tech solely for storyboarding.

The Instagram accounts for the Obama White House and the Chief Master Sergeant of the U.S. Space Force were briefly defaced with pro-Iranian images and messages over the weekend, after instructions began circulating on Telegram showing how to trick Meta's "AI support assistant" bot into resetting account passwords.

An intentionally vulnerable e-commerce platform that teaches you to find, exploit, and understand IDOR vulnerabilities — the way they actually appear in the wild. Let's talk about the most deceptively simple vulnerability in web security: IDOR . On paper, it sounds trivial — change a number in the URL, access someone else's data, collect your bounty. But anyone who's spent real time hunting knows the truth: IDORs in production applications are rarely that obvious. They hide in request bodies, lurk inside multi-step workflows, and disguise themselves behind modern frontend frameworks that abstract away the very IDs you're supposed to manipulate. That gap — between textbook IDOR and real-world IDOR — is exactly where IDOR BugBounty Labs lives. What Is IDOR BugBounty Labs? It's an open-source, Node.js/Express e-commerce application built with one purpose: to give you a realistic playground for practicing IDOR attacks. Not simulated. Not theoretical. Intentionally vulnerable, locally hosted, and designed to mirror the complexity of actual Bug Bounty targets. Built with Express and TailwindCSS, it simulates a functioning online store — complete with user accounts, orders, addresses, support tickets, notification settings, and a checkout flow. Every feature contains at least one authorization flaw waiting to be exploited. Why This Lab Is Different Most IDOR labs give you one obvious URL parameter to change and call it a day. This one doesn't. IDOR BugBounty Labs includes: 5 distinct challenges ranging from easy to hard 3 different IDOR types: URL parameters, request bodies, and hidden body parameters Both read and write IDORs — accessing data and modifying it Multi-step business logic that mimics real e-commerce flows A flag submission system so you can verify your findings The challenges don't just teach you to change an ID. They teach you to think about where IDs live, how they're passed, and what happens when authorization checks are missing. The 5 Challenges 1. Read O

ElevenLabs' new model will let users regenerate a section of a song without affecting the rest of the track.