RaylexFlow
Turn conversations into customers with AI & CRM
What it does
RaylexFlow is an all in one customer communication and CRM platform for businesses. Connect WhatsApp, Facebook, Instagram, AI automation, chatbots, shared team inboxes, campaigns, webhooks, and CRM in one place. Automate conversations, manage leads, collaborate with your team, and turn customer interactions into growth.
RaylexFlow is a WhatsApp Cloud API platform that helps businesses automate conversations, send bulk messages, build chatbots, and manage multi-agent customer support, integrate ecommerce to boost sales and customer satisfaction.. Grow your business faster with seamless WhatsApp engagement
Manage all your WhatsApp conversations in one place. Automate replies, send bulk campaigns, and create smart chatbots to boost sales, improve support, and grow your business effortlessly. Deliver seamless customer experiences and streamline communication, all in one smart WhatsApp automation platform. Automate conversations, manage customer support, and run bulk campaigns, all from one powerful platform. Scale faster, work smarter, and keep customers engaged 24/7 RaylexFlow helps you simplify customer engagement with AI-driven tools, automation workflows, and real-time insights, without the complexity of managing multiple tools. Trigger WhatsApp messages instantly with ecommerce events.…from raylexflow.com.ng
Does the same job
all alternatives →
More growth this month
the category →
AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com