MAEUM
From ideas to deployed AI
What it does
MAEUM turns ideas into real, deployed AI products — not just demos. We design, build, integrate, and launch production-ready software for real users and businesses. From product strategy and UX to AI integration, backend systems, payments, deployment, and operations, MAEUM handles the full journey from idea to working product. What makes us different: we build AI that actually ships, gets used, and creates value.
Write the program you need and get a quote plus a real, working web-app prototype — free, in about 10 minutes. MAEUM Company builds and runs its own products (7 apps), embeds in teams (engineering / FDE), and picks the right AI model for each problem. On-device AI runtime patent-pending.
Bookings, orders, inventory, CRM, workflow automation, AI products — the founder designs and builds it himself . MAEUM Company builds AI, deploys it on the ground, and teaches it. Products taken from concept through development, launch, and operation single-handedly. The maker sees it through to the end. Not hand-it-off outsourcing — I join your team and build on the ground with you. I plug in fast and own it to the finish. Stories from someone who has actually built AI. I give career talks for founders, developers, and students, and consult on AI adoption. For companies and institutions where security matters, AI can run entirely on your own hardware. It works without an internet…from maeum.io
Does the same job
all alternatives →
More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 26d ago · cactuscompute.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