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Filmmaker sues Netflix over stolen screener of unreleased Nicolas Cage movie.

The leading U.S. automakers are mentioning EVs on their investor calls at pre-pandemic rates, according to new data from TechCrunch and Hudson Labs.

Three frontier launches. Two weeks. One bad habit. The habit is crowning a winner from a press release. Claude Sonnet 5 on June 30. OpenAI's GPT-5.6 family rolling into general availability around July 9. Grok 4.5 on July 8, co-trained with Cursor and priced to make coding agents feel cheap. The charts moved. The posts multiplied. The claim underneath most of them was the same: this is the model you should standardize on. [The claim is nonsense. Standardization is the risk. Routing is the skill.] What actually shipped Strip the demos. Keep the operator facts. Model Maker Window Operator-relevant shape Claude Sonnet 5 Anthropic late June Balanced agent runs, coding, long reliable chains GPT-5.6 Sol / Terra / Luna OpenAI late June to mid-July Tiered family: flagship Sol, everyday Terra, cheap Luna Grok 4.5 xAI + Cursor July 8 Coding and agent work at aggressive API pricing OpenAI gated GPT-5.6 longer than the others. Safety review, staged partners, then broader access. That is part of the product story now, not a footnote. Anthropic and xAI moved faster to availability. Access policy is a feature. Open source did not wait. GLM-5.2, DeepSeek V4, Qwen 3.6 and peers kept closing the gap for hosted and self-hosted work. The frontier is crowded. The "one brain for everything" era is over as an architecture choice, even if the marketing still pretends otherwise. Ranked by Tuesday impact, not leaderboard theater 1. Cost and tiering matter more than the top score. OpenAI shipping Luna / Terra / Sol as a family is the real product decision. You can route a triage job to a cheap tier and a hard research job to a flagship without changing vendors. That is operator infrastructure. A single "best model" headline is not. 2. Grok 4.5 inside Cursor changes the default coding bill. A model trained with Cursor interaction data, sold at roughly $2 / $6 per million tokens, is not a vibe. It is a budget line. Teams that were bleeding token spend on heavier agents will try it this month wh

SpaceX is building a new power plant for xAI's Colossus data centers, but it won't remove existing, unpermitted turbines for many more months.

Tesla had already reportedly prepped for the idea in the event that Beijing invades Taiwan.

ImgProxy is an open-source image-processing server — resize, convert, and transform images on the fly via URL parameters, ideal as a caching layer in front of a CDN or web app. This guide builds ImgProxy from source on Ubuntu, runs it as a systemd service behind Nginx with TLS, walks through its URL processing options, and secures it with signed URLs. Prerequisites: an Ubuntu server, a domain A record (e.g. imgproxy.example.com ), non-root sudo user. Install ImgProxy ImgProxy uses libvips for image processing; this builds it from source with Go. $ sudo add-apt-repository ppa:dhor/myway $ sudo apt update $ sudo apt install libvips-dev -y $ sudo snap install --classic --channel = latest/stable go $ git clone https://github.com/imgproxy/imgproxy.git $ cd imgproxy $ sudo CGO_LDFLAGS_ALLOW = "-s|-w" go build -o /usr/local/bin/imgproxy Create the environment config: $ sudo touch /usr/local/bin/imgproxy.env $ sudo nano /usr/local/bin/imgproxy.env IMGPROXY_BIND = :8080 IMGPROXY_NETWORK = tcp IMGPROXY_READ_TIMEOUT = 10 IMGPROXY_WRITE_TIMEOUT = 10 IMGPROXY_WORKERS = 2 IMGPROXY_REQUESTS_QUEUE_SIZE = 0 IMGPROXY_QUALITY = 100 IMGPROXY_PREFERRED_FORMATS = webp,jpeg,png,gif,avif IMGPROXY_LOG_FORMAT = "pretty" IMGPROXY_LOG_LEVEL = "INFO" IMGPROXY_WATERMARK_URL = https://example.com/watermark.png IMGPROXY_WATERMARK_OPACITY = 1 Key settings: IMGPROXY_WORKERS should be ~2× your vCPU count; IMGPROXY_REQUESTS_QUEUE_SIZE=0 means unlimited queueing; IMGPROXY_WATERMARK_URL points at whatever image you want overlaid when watermarking is enabled. Point ImgProxy at the config and test: $ export IMGPROXY_ENV_LOCAL_FILE_PATH = /usr/local/bin/imgproxy.env $ cd $ imgproxy WARNING [2024-05-28T00:40:42Z] No keys defined, so signature checking is disabled WARNING [2024-05-28T00:40:42Z] No salts defined, so signature checking is disabled INFO [2024-05-28T00:40:42Z] Starting server at :8080 Stop it with Ctrl+C once verified, then set it up as a service. Run ImgProxy as a systemd Service $ sudo useradd

code-server is the open-source project that runs full VS Code including extensions, integrated terminal, Git, IntelliSense — on a remote server, accessible from any browser. This guide deploys it on Ubuntu 24.04 with Docker Compose, fronted by Traefik for automatic HTTPS. Prerequisites: an Ubuntu 24.04 server (1GB RAM / 2 vCPU minimum), a domain A record (e.g. code.example.com ), Docker and Docker Compose installed. Set Up the Project $ mkdir -p ~/vscode-server/ { project,config,local,letsencrypt } $ cd ~/vscode-server project — your editable workspace config — code-server settings/extensions local — user-specific data letsencrypt — Traefik's ACME certificate storage Find your UID/GID and add yourself to the docker group: $ id $USER $ sudo usermod -aG docker $USER Write the Compose File $ nano docker-compose.yml services : code-server : image : codercom/code-server:latest container_name : code-server user : " UID:GID" # Replace with your user's UID and GID environment : - PASSWORD=SECURE_PASSWORD # Replace with a strong password - DOCKER_USER=LINUXUSER # Replace with your username volumes : - ./project:/home/coder/project - ./config:/home/coder/.config - ./local:/home/coder/.local networks : - internal restart : unless-stopped labels : - " traefik.enable=true" - " traefik.http.routers.code-server.rule=Host(`CODE.EXAMPLE.COM`)" # Replace with your domain name - " traefik.http.routers.code-server.entrypoints=websecure" - " traefik.http.routers.code-server.tls.certresolver=myresolver" - " traefik.http.services.code-server.loadbalancer.server.port=8080" traefik : image : traefik:latest container_name : traefik ports : - " 80:80" - " 443:443" volumes : - /var/run/docker.sock:/var/run/docker.sock:ro - ./letsencrypt:/letsencrypt command : - " --providers.docker=true" - " --providers.docker.exposedbydefault=false" - " --providers.docker.network=internal" - " --entrypoints.web.address=:80" - " --entrypoints.websecure.address=:443" - " --entrypoints.web.http.redirections.entr

Gradio is a Python library for wrapping any ML model in a web interface, ready to deploy and scale as an app. This guide builds a GFPGAN-powered face-restoration demo with Gradio on Ubuntu 22.04, runs it as a systemd service, and exposes it through Nginx with TLS. Prerequisites: a GPU-enabled Ubuntu 22.04 server, a domain A record (e.g. gradio.example.com ), non-root sudo access, Nginx installed. Set Up the Server 1. Install dependencies: $ pip3 install realesrgan gfpgan basicsr gradio realesrgan — background restoration gfpgan — face restoration basicsr — provides RRDBNet , the super-resolution architecture GFPGAN relies on gradio — the web interface 2. GFPGAN's pandas dependency needs jinja2 >= 3.1.2: $ pip show jinja2 Upgrade if it's older: $ pip install --upgrade jinja2 3. Create the project directory: $ sudo mkdir -p /opt/gradio-webapp/ $ sudo chown -R : $( id -gn ) /opt/gradio-webapp/ $ sudo chmod -R 775 /opt/gradio-webapp/ Build the Gradio App Uploads a face image and returns two enhanced outputs. $ cd /opt/gradio-webapp/ $ nano app.py import gradio as gr from gfpgan import GFPGANer from basicsr.archs.rrdbnet_arch import RRDBNet from realesrgan import RealESRGANer import numpy as np import cv2 import requests def enhance_image ( input_image ): arch = ' clean ' model_name = ' GFPGANv1.4 ' gfpgan_checkpoint = ' https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth ' realersgan_checkpoint = ' https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth ' rrdbnet = RRDBNet ( num_in_ch = 3 , num_out_ch = 3 , num_feat = 64 , num_block = 23 , num_grow_ch = 32 , scale = 2 ) bg_upsampler = RealESRGANer ( scale = 2 , model_path = realersgan_checkpoint , model = rrdbnet , tile = 400 , tile_pad = 10 , pre_pad = 0 , half = True ) restorer = GFPGANer ( model_path = gfpgan_checkpoint , upscale = 2 , arch = arch , channel_multiplier = 2 , bg_upsampler = bg_upsampler ) input_image = input_image . astype ( np . uint8 ) cropped_fa

Nginx UI is an open-source web GUI for managing Nginx, single-node or clustered, with real-time stats, automatic Let's Encrypt TLS, performance monitoring, and even LLM-assisted config editing. This guide installs it on Ubuntu 24.04, puts it behind a reverse proxy with TLS, sets up ACME certificate management, and creates a virtual host through the dashboard. Prerequisites: an Ubuntu 24.04 server, non-root sudo user, a domain A record (e.g. nginx-ui.example.com ), Docker installed if you choose that install path. $ sudo apt update $ sudo apt install nginx -y Pick one of the two install methods below. Option A: Install via Script Runs Nginx UI as a system service, managing the host's Nginx directly. $ curl -O https://cloud.nginxui.com/install.sh $ sudo bash install.sh install $ nginx-ui --version $ sudo systemctl start nginx-ui $ sudo systemctl status nginx-ui Option B: Install via Docker Runs as a container — you won't be able to edit the host's Nginx configs directly through it. $ mkdir -p ~/nginx-ui-docker $ cd ~/nginx-ui-docker $ sudo mkdir -p /opt/nginx-ui/nginx $ sudo mkdir -p /opt/nginx-ui/config $ sudo mkdir -p /opt/nginx-ui/www $ nano docker-compose.yml version : ' 3.8' services : nginx-ui : image : uozi/nginx-ui:latest container_name : nginx-ui restart : always environment : - TZ=UTC volumes : - /opt/nginx-ui/nginx:/etc/nginx - /opt/nginx-ui/config:/etc/nginx-ui - /opt/nginx-ui/www:/var/www ports : - " 127.0.0.1:9000:80" networks : - nginx-ui-net networks : nginx-ui-net : driver : bridge $ sudo docker compose up -d $ sudo docker compose ps $ curl -X GET http://localhost:9000 Configure the Reverse Proxy Nginx UI listens on localhost:9000 . Put it behind a public vhost with WebSocket support (needed for live stats/terminal): $ cd /etc/nginx/sites-available $ sudo nano nginx-ui.conf map $http_upgrade $connection_upgrade { default upgrade ; '' close ; } server { listen 80 ; listen [::]:80 ; server_name nginx-ui.example.com ; location / { proxy_set_header Host $

Ghost is an open-source publishing platform with built-in newsletters, memberships, subscriptions, ActivityPub federation, and Tinybird-powered web analytics. This guide covers two install paths on Ubuntu 24.04: Ghost-CLI for a traditional host install, and Docker Compose for a containerized deployment with analytics. Prerequisites: an Ubuntu 24.04 server, non-root sudo user, a domain A record (e.g. ghost.example.com ). Option A: Install with Ghost-CLI Install Node.js Ghost requires Node v22 LTS — check compatible versions before installing elsewhere. $ curl -fsSL https://deb.nodesource.com/setup_22.x -o nodesource_setup.sh $ sudo -E bash nodesource_setup.sh $ sudo apt install -y nodejs $ node -v Install and Configure MySQL $ sudo apt install -y mysql-server $ mysql --version $ sudo mysql_secure_installation Walk through the prompts: enable password validation ( y ), pick strong policy ( 2 ), remove anonymous users ( y ), restrict root to localhost ( y ), drop the test database ( y ), reload privileges ( y ). $ sudo mysql mysql > CREATE DATABASE ghost_db ; mysql > CREATE USER 'ghostuser' @ 'localhost' IDENTIFIED BY 'Your_password2!' ; mysql > GRANT ALL PRIVILEGES ON ghost_db . * TO 'ghostuser' @ 'localhost' ; mysql > FLUSH PRIVILEGES ; mysql > EXIT ; Install Nginx $ sudo apt install -y nginx $ sudo ufw allow 'Nginx Full' $ sudo systemctl status nginx Install Ghost $ sudo npm install ghost-cli@latest -g $ sudo mkdir -p /var/www/html/ghost $ sudo chown $USER : $USER /var/www/html/ghost $ sudo chmod 775 /var/www/html/ghost $ cd /var/www/html/ghost $ ghost install The installer prompts for: Blog URL : https://ghost.example.com MySQL hostname : localhost MySQL username/password/database : from the setup above Set up Nginx? : y Set up SSL? : y (installs acme.sh ) Email for SSL : your address Set up Systemd? : y Start Ghost? : y Manage the Config $ nano /var/www/html/ghost/config.production.json $ cd /var/www/html/ghost $ ghost restart Or via systemd (replace ghost-example

phpBB is an open-source forum application for building discussion communities — user registration, moderation, permissions, and multiple boards in one interface. This guide deploys phpBB on Ubuntu 22.04 with an external MySQL database, an Apache virtual host, and Let's Encrypt TLS. Prerequisites: an Ubuntu 22.04 server with the LAMP stack installed, non-root sudo user, an external MySQL database, a subdomain A record (e.g. phpbb.example.com ). Create the Database $ mysql -h your-db-host -P 3306 -u dbadmin -p mysql > CREATE DATABASE phpbbdb ; mysql > USE phpbbdb ; mysql > CREATE USER 'phpbbuser' @ 'localhost' IDENTIFIED BY 'securepassword' ; mysql > GRANT ALL ON phpbbdb . * to 'phpbbuser' @ 'localhost' ; mysql > FLUSH PRIVILEGES ; mysql > EXIT ; Install phpBB 1. Install PHP modules: $ sudo apt install php-mysql php-xml php-mbstring -y 2. Download and extract — check the releases page for the current version: $ wget -O phpbb.zip https://download.phpbb.com/pub/release/3.3/3.3.11/phpBB-3.3.11.zip $ unzip phpbb.zip $ sudo mv phpBB3 /var/www/html/phpbb 3. Set ownership and permissions: $ sudo chown -R www-data:www-data /var/www/html/phpbb $ sudo find /var/www/html/phpbb -type d -exec chmod 755 {} \; $ sudo find /var/www/html/phpbb -type f -exec chmod 644 {} \; Configure Apache $ sudo nano /etc/apache2/sites-available/phpbb.conf < VirtualHost *:80 > ServerAdmin admin@example.com DocumentRoot /var/www/html/phpbb ServerName phpbb.example.com < Directory /var/www/html/phpbb > Options FollowSymlinks AllowOverride All Require all granted </ Directory > ErrorLog ${APACHE_LOG_DIR}/phpbb_error.log CustomLog ${APACHE_LOG_DIR}/phpbb_access.log combined </ VirtualHost > $ sudo a2ensite phpbb $ sudo a2enmod rewrite $ sudo systemctl restart apache2 Secure phpBB 1. Firewall: $ sudo ufw status $ sudo ufw allow 22 && sudo ufw enable $ sudo ufw allow 80/tcp $ sudo ufw allow 443/tcp $ sudo ufw reload 2. TLS via Let's Encrypt: $ sudo apt install snapd -y $ sudo snap install --classic certbot

A Patroni cluster needs an odd number of nodes to maintain quorum — with 3 nodes, losing 1 still leaves a majority, so the cluster keeps running. This guide builds a 3-node PostgreSQL cluster on Ubuntu 24.04 with Patroni handling replication and automatic failover, etcd as the coordination store, and HAProxy load-balancing client connections — all secured with TLS. Prerequisites: three Ubuntu 24.04 servers (2 vCPU / 4GB RAM minimum) with PostgreSQL installed, non-root sudo access, and a domain with three A records: node1.example.com , node2.example.com , node3.example.com . Replace these placeholders with your actual subdomains throughout. Install Dependencies Run on all three nodes unless noted otherwise. 1. Install packages: $ sudo apt update $ sudo apt install haproxy certbot pipx -y $ sudo pip3 install --break-system-packages 'patroni[etcd3]' psycopg2-binary psycopg 2. Install etcd: $ wget https://github.com/etcd-io/etcd/releases/download/v3.6.4/etcd-v3.6.4-linux-amd64.tar.gz $ tar -xvf etcd-v3.6.4-linux-amd64.tar.gz $ sudo mv etcd-v3.6.4-linux-amd64/etcd etcd-v3.6.4-linux-amd64/etcdctl /usr/local/bin/ 3. Open firewall ports — 80 (Certbot), 2379/2380 (etcd), 5432/5433 (PostgreSQL + Patroni-managed PostgreSQL), 8008/8009 (Patroni REST API): $ sudo ufw allow 80,2379,2380,5432,5433,8008,8009/tcp $ sudo ufw reload $ sudo ufw status Configure SSL Certificates 1. Request a certificate per node (run on each node for its own subdomain): $ sudo certbot certonly --standalone -d node1.example.com -m admin@example.com --agree-tos --no-eff 2. Create a cert-prep script on each node (set HOSTNAME to that node's subdomain): $ sudo nano /usr/local/bin/prepare-ssl-certs.sh #!/bin/bash HOSTNAME = "node1.example.com" # Update for each node CERT_DIR = "/etc/letsencrypt/live/ $HOSTNAME " ARCHIVE_DIR = "/etc/letsencrypt/archive/ $HOSTNAME " getent group ssl-users > /dev/null || sudo groupadd ssl-users for user in etcd patroni haproxy postgres ; do if ! id " $user " > /dev/null 2>&1 &&

Laravel is a popular PHP framework with routing, authentication, and database management built in. This guide deploys a Laravel app behind Nginx on Ubuntu 24.04, wires it to MySQL, secures it with Let's Encrypt, and builds a small dashboard that queries live data. Prerequisites: Ubuntu 24.04 with Nginx and MySQL installed, a non-root sudo user, a domain A record (e.g. app.example.com ). Create the Database $ sudo mysql mysql > CREATE DATABASE laravel_demo ; mysql > CREATE USER 'laravel_user' @ 'localhost' IDENTIFIED WITH mysql_native_password BY 'secure_password' ; mysql > GRANT ALL ON laravel_demo . * TO 'laravel_user' @ 'localhost' ; mysql > FLUSH PRIVILEGES ; mysql > EXIT ; Seed a demo table to query later: $ mysql -u laravel_user -p mysql > USE laravel_demo ; mysql > CREATE TABLE server_stats ( id INT AUTO_INCREMENT , server_name VARCHAR ( 255 ), region VARCHAR ( 255 ), cpu_usage DECIMAL ( 5 , 2 ), memory_usage DECIMAL ( 5 , 2 ), status ENUM ( 'active' , 'maintenance' , 'offline' ), last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP , PRIMARY KEY ( id ) ); mysql > INSERT INTO server_stats ( server_name , region , cpu_usage , memory_usage , status ) VALUES ( 'app-01' , 'us-east' , 24 . 50 , 45 . 30 , 'active' ), ( 'db-01' , 'eu-west' , 12 . 75 , 78 . 20 , 'active' ), ( 'web-01' , 'ap-south' , 65 . 80 , 89 . 50 , 'active' ); mysql > EXIT ; Install Composer and PHP Extensions $ sudo apt update $ sudo apt install composer php php-curl php-fpm php-bcmath php-json php-mysql php-mbstring php-xml php-tokenizer php-zip -y $ composer --version $ php --version $ sudo systemctl restart php8.3-fpm php-fpm runs PHP as a service Nginx can talk to; php-mysql / php-mbstring / php-xml / php-tokenizer / php-zip cover Laravel's runtime requirements. Create the Laravel Project $ cd ~ $ composer create-project --prefer-dist laravel/laravel laravel-demo $ cd laravel-demo $ php artisan key:generate Edit .env : $ nano .env APP_NAME = laravel-demo APP_ENV = development APP_KEY = base64:APP

Heat waves are simultaneously hitting Europe, North America, and Asia, driven in part by the hot waters in the tropical Pacific—and climate change.

JDK 24 removed the monitor-related carrier-thread pinning that stalled Netflix and similar teams on Java 21. What has replaced it on JDK 25 LTS is downstream-resource saturation: The bottleneck moved and now demands explicit bounding in application code. This article maps the failure modes that surface after virtual-thread adoption and gives a practical sequence backed by a public benchmark. By Sandeep Bharadwaj

Back in February I published a post about osx-proxmox-next , a tool that builds a macOS VM on Proxmox with one command instead of an afternoon of OpenCore plist editing. About 1,500 people read it. Some of them installed it. On hardware I don't own. That's when the interesting bugs showed up. 150 commits later, here are five failures that don't appear in any macOS-on-Proxmox guide I've found, with the actual root cause for each. 1. The installer stalls at 100% CPU and nothing moves Symptom: macOS installer reaches the copy phase. CPU pegged at 100%. Disk IO and network throughput both flat zero. It sits there forever. Only on Xeon E5/E7 v2-v4 hosts. My first fix was wrong. The stall looked like a network problem, so I assumed the vmxnet3 kext was failing to load during install and swapped those hosts to e1000-82545em . Shipped it. Then issue #103 came back from someone with the actual hardware: vmxnet3 got network fine, and e1000-82545em did not attach at all. I had made it worse. The real cause is two layers down. Those chips are genuine HEDT parts with dual-socket / multi-die topology, and -cpu host leaks that topology straight through to the guest. Pair it with a MacPro7,1 SMBIOS, which macOS treats as multi-socket capable, and XNU's scheduler livelocks under heavy multithreaded IO. The installer copy phase is exactly that workload. The fix is to stop passing the host topology through: _XEON_HEDT_PATTERN = re . compile ( r " Xeon.*E[57][ -]*\d+ *v([234]) " , re . IGNORECASE ) def _xeon_hedt_cpu_model ( model_name : str ) -> str : match = _XEON_HEDT_PATTERN . search ( model_name ) if not match : return "" if match . group ( 1 ) == " 2 " : return " Haswell-noTSX,model=158,stepping=3 " return " Broadwell-noTSX,model=158 " Lesson I keep relearning: the symptom showed up at the network layer, the cause lived in CPU topology. Guessing from the symptom cost me a release. 2. The VM boots into Recovery forever Symptom: Fresh install finishes. Every subsequent boot lands b

The biggest reason NVIDIA began providing GPL-licensed kernel modules is that its driver architecture evolved to the point where Linux integration, distribution, and maintenance could be greatly simplified while keeping the GPU's critical intellectual property in firmware and user-space components . To be precise, NVIDIA did not open-source its entire driver stack. The components that became open are primarily the following Linux kernel modules: nvidia.ko nvidia-drm.ko nvidia-uvm.ko nvidia-modeset.ko User-space components such as CUDA, OpenGL, Vulkan, and the GSP firmware remain proprietary. ( NVIDIA Developer ) 1. To make integration with Linux distributions easier Previously, NVIDIA's proprietary kernel modules had to be built, signed, and distributed separately from the Linux kernel. A DKMS-based workflow, which rebuilds modules after every kernel update, commonly led to problems such as: Kernel modules failing to build after kernel updates Unsigned modules being blocked by Secure Boot Linux distributions having difficulty maintaining the driver as an official package Increased complexity when integrating with custom kernels or cloud environments By publishing the source code, distributions such as Ubuntu, Red Hat, and SUSE can integrate NVIDIA's kernel modules into their own packaging, signing, and update infrastructure much more easily. NVIDIA itself cites tighter OS integration and simpler signing and distribution as key motivations. ( NVIDIA Developer ) 2. To improve debugging and security review Kernel modules interact with deep parts of the operating system, including memory management, interrupts, inter-process synchronization, PCI Express, and display subsystems. With the source code available, Linux distribution developers and enterprise users can: Trace where execution stops inside the kernel Analyze interactions between GPU events and workloads Fix incompatibilities with custom kernels Review security-related issues Submit patches to NVIDIA NVIDIA stat

Exploits can give persistent server access that survives credential rotation and disk re-imaging.

If you're an African developer, SaaS founder, freelancer, or online business, one of the biggest challenges isn't finding customers. It's getting paid by them. Most articles about African payment APIs focus on moving money out of Africa. But what if your customers are the ones sending money to you? Whether you're billing international clients, collecting subscription payments, or accepting payments from marketplace users, you need a collection method that's easy for customers and simple to reconcile on your end. The Afriex Business API offers three different ways to collect payments, each designed for a different use case. Depending on who your customers are and how they prefer to pay, you can collect funds through dedicated virtual accounts, shared pool accounts, or stablecoin wallets. In this guide, you'll learn how each collection method works, when to use it, and how to integrate it into your application. The Three Collection Methods Although all three collection methods ultimately deposit funds into your Afriex Business wallet, they differ in how customers send money and how you identify who made each payment. Method Best for How the payer sends Dedicated virtual account Known customers, repeat payments Bank transfer to a unique account number Pool account Quick collection, one-off payments Bank transfer with a reference Crypto wallet Customers holding USDT or USDC Crypto transfer to a wallet address Choosing the right method depends on your product and your payment flow. If you already know your customers and expect them to pay repeatedly, dedicated virtual accounts provide the smoothest experience. If you want to launch quickly without creating individual accounts for every customer, pool accounts are a great fit. And if your users prefer paying with stablecoins, crypto wallets make that process straightforward. Method 1: Dedicated Virtual Accounts Dedicated virtual accounts are the easiest way to reconcile bank transfers from repeat customers. Instead of ask

Weeks ahead of Google's next Pixel hardware event, Leaker Evan Blass has shared what appear to be marketing renders of the unannounced Google Pixel 11 Pro Fold in a post on his Substack. The renders, if accurate, show that the new foldable will look fairly similar to last year's model - it has a tall […]