标签：#map

Some of the new features are powered by Google's Gemini AI assistant, which reflects the tech giant's broader push to integrate Gemini across its products while also better positioning Waze to compete with rival services such as Apple Maps.

AWS Blocks handles authentication, databases, file storage, AI agents and more out of the box. But...

While it's not flashy like Apple’s new Siri AI and Apple Intelligence upgrades, there are still a number of additions to iOS 27 worth looking at.

The Problem Nobody Talks About Picture this: You're trying to find a place to meet up with friends. Someone suggests a coffee shop. It's 8 minutes from their house. It's 45 minutes from yours. You say yes anyway, because suggesting a different place feels awkward. This happens all the time — with friends, with remote teams, with family scattered across a city. And the worst part? Most "meet in the middle" suggestions aren't actually in the middle. They're just the geographic midpoint, which completely ignores traffic, transit options, and the fact that roads don't go in straight lines. I got frustrated enough to build something about it. Meet Meetle Meetle is a free web app that finds the fairest meeting spot for any group of people — based on real travel times , not just distance. A Chrome Extension is coming soon so you'll have it one click away in your toolbar. You add everyone's starting location, choose how each person is traveling (driving, walking, or transit), hit Find Meeting Point , and Meetle does the math across every person simultaneously. It then surfaces the best nearby cafés, restaurants, parks, gyms, or whatever venue type you're looking for — ranked by actual fairness. No more "it's fine, I don't mind the drive." Now you have data. How It Actually Works Under the hood, Meetle uses three Google Maps APIs working together: Distance Matrix API calculates travel time from every person's location to every candidate venue, simultaneously. This is the core of the fairness scoring — you can't rank venues fairly without knowing everyone's actual travel time to each one. Places API finds candidate venues near the calculated center point. You can filter by type (coffee, food, parks, gyms, etc.), price level, minimum rating, and whether they're open right now. Maps JavaScript API renders everything visually — the map, the travel zones (isochrones), and the markers for each suggested venue. The scoring works two ways and you can toggle between them: Fairness mo

Most cybersecurity roadmaps fail beginners. They give you a long list of topics like Linux, Networking, Python, and Security tools without any order or direction. This makes people confused, overwhelmed, and they usually quit early. This roadmap is different. It follows a momentum-first learning system, where every step builds on the previous one. You don’t just learn topics — you grow step by step like a system. The goal is simple: You always know what to learn next and why you are learning it. 🧠 How This Roadmap Works Instead of random learning, this roadmap is divided into phases. Each phase: builds real skills connects with the next phase moves from basic → advanced focuses on practical understanding By the end, you will understand how systems work, how they are built, how they are tested, and how they are secured. 🟢 PHASE 1: 🧠 The Signal Awakening Protocol (System Basics) Goal: Understand how computers and the internet actually work. Topics Google Dorking Using advanced search techniques to find specific information on the internet. You learn how search engines work beyond normal searches. OSINT (Open Source Intelligence) Collecting information from public sources like websites, social media, and forums. You learn how to gather data like a digital investigator. How Web Browsers Work Understanding how a browser sends requests and receives data from servers. This helps you understand what happens behind every website you open. Introduction to Computers & Operating Systems Basic understanding of CPU, RAM, storage, and how operating systems manage everything. This is the foundation of all cybersecurity. Virtualization (VirtualBox / VMware) Running a virtual computer inside your main computer. You use this to create a safe lab for practice. Linux Basics Learning how to use Linux systems. Most servers and cybersecurity tools run on Linux, so this is important. Bash Scripting Writing simple scripts to automate tasks in Linux. You move from manual work to automation. O

Originally published on clintech.me If you've integrated Google Maps into a React app and seen Autocomplete randomly stop working, Directions silently fail, or the API throw google is not defined on second render — you've hit the duplicate loading bug. Here's exactly what caused it in my case and how I fixed it. The setup that broke things While building delivery address flows at POLOM — a production e-commerce platform — I integrated Google Places Autocomplete across 20+ screens. I had the Maps JavaScript API loading in two places: A provider.tsx for global script loading across the app A useLoadGoogleMaps hook inside a shared component This caused race conditions. The Autocomplete and Directions APIs were initialising before the script fully resolved in some renders, silently failing in others. The failure wasn't consistent, which made it harder to catch. The fix Step 1 — Remove the global load Delete the script tag or next/script call in provider.tsx . There should be exactly one place the Maps API loads. Step 2 — Centralise in a hook Move all loading logic into a single useLoadGoogleMaps hook using dynamic loading. If you're on Next.js, next/script with strategy="afterInteractive" inside the hook is the right approach. Step 3 — Guard before initialising if ( ! window . google ?. maps ) return ; Check that the API is fully available before attempting to attach Autocomplete or Directions . Don't assume the script load event means every namespace is ready. Step 4 — Scope your ref correctly Bind the autocomplete instance to inputRef.current explicitly. If the component remounts, re-initialise the binding — don't assume the previous instance is still attached. The result One load, one source of truth, no race conditions. Autocomplete and Directions worked consistently across all 20+ screens without reinitialising on every render. Security — the step most developers skip Restrict your API key at the Google Cloud Console level: HTTP referrers: whitelist your domain onl

The popular wildfire tracking app is adding flood monitoring to its platform. It’s the first new disaster alert on the service, with many more to come.

React + Mapbox GL JS: Custom Markers, Popups, and Bounds-Based Data Fetching If you've added a Mapbox map in a React app before, you've probably hit a wall pretty quickly: Mapbox GL JS manages its own DOM, and React manages a virtual DOM, and getting the two to play nicely takes some thought. Markers and popups are a great example of this tension — they're imperative APIs in a world where you want declarative components. This post walks through a pattern I've landed on for wrapping mapboxgl.Marker and mapboxgl.Popup in composable React components, and combining them with bounds-based data fetching to build something like a real estate or earthquake explorer map — where the data on the map updates as you pan and zoom. Here's what we'll cover: Wrapping mapboxgl.Marker in a React component that handles its own lifecycle Using createPortal to render custom marker content in React Fetching data from an API using the map's current bounding box Tracking an active marker with React state Wrapping mapboxgl.Popup in a component If you want to see the finished product first, the source code is on GitHub . The Core Challenge: Two DOMs Before we get into the code, it's worth understanding why this requires a pattern at all. When you use React's normal component tree, React controls the DOM. But mapboxgl.Marker also creates and manages DOM nodes — it places an element on the map at a specific geographic coordinate, handles repositioning as you pan, and removes itself cleanly when you're done with it. The approach here is to use React to manage the lifecycle of each marker (mount when data arrives, unmount when data goes away), while letting Mapbox handle the positioning . We use React's createPortal to render JSX content into a DOM node that we hand off to Mapbox. The example discussed below is a map that fetches earthquake data for the current viewport, displaying a custom Marker and Popup for each. As you move the map and the bounds change, new data is fetched and the Markers a