AZBrand
Cloud VPS, zero-egress S3 storage & AI website builder
What it does
AZBrand is an all-in-one cloud platform built for founders, developers, and agencies. Key features: • High-Performance Cloud VPS: NVMe Gen4 instances across 11 global datacenters with root SSH. • S3 Object Storage: 100% S3-compatible with $0 egress download fees & API keys. • No-Code AI Website Builder: Visual canvas powered by Gemini AI with custom domain support. • Business Telecom: Local VoIP lines ($4.99/mo) and SIP trunks. • Edge Security: Always-on Layer 3/4/7 DDoS mitigation & WAF.
High-performance Cloud VPS hosting across 11 global regions, S3 cloud storage with zero egress fees, AI website builder, domain registrar, and worldwide digital agency services.
The high-performance, simple cloud solution your demanding projects deserve. Ultra-fast NVMe instances, AI builders, and custom digital marketing, all under one unified platform. “With their marketing genius, we managed to double our client base!” Drag, drop, and auto-generate responsive websites in minutes. 1 website included 100% free with custom domain support and 10 MB media storage. Fast, S3-compatible cloud object storage with $0 egress bandwidth charges . 10 MB included free forever (~80–100 website images) or lightweight VPS backups. Dedicated NVMe Gen4 SSD storage, unmetered bandwidth, instant OS reinstallation, and automated off-site S3 backup add-ons. Local Canadian & US business…from azbrand.ca
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Mintlify Pro costs 250 USD per month. We wanted something similar (AI assistant and nice UI), but fully customizable and cheap. So we built GibsonAI docs in 1 day for about 50 USD. How we did it: Used Lovable for UI components + rendering MDX beautifully (Markdown stored in GitHub). Built an AI Agent for docs using Agno + Memori → personalized Q&A and “smart educator.” Stored embeddings in LanceDB and metadata in our SQL DB. Bonus: We can share our reusable design templates and source code so you can deploy on Vercel (or anywhere) and skip Lovable costs. Would love feedback on what features…
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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
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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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