Welcome!! 
Hi everyone 
My name is Usman_Akram
I came here to learn and share ideas about AI automation and development.
A random fact about me: I love building new projects from scratch and debugging them until they work perfectly 
.
Also, I run zaytrics.com where I explore tech and automation. Excited to connect with you all! 
Hi everyone Iām Ezra from Kenya, Africa Iām a highschool graduate but with high enthusiasm in Artificial intelligence I learned that python had a lagging situation so I decided to foster learning Mojo as a cyber security and AI enthusiastic. Itās fascinating to be in the Modular Forum because we get to modify and build the Mojoās ecosystem by increasing and building libraries. And intergrating Rusts ecosystem into Mojo,to build highly secure autonomous systems.
awesome, welcome Trojan!
Itās quite enthusiastic having Modulars CEO welcoming me!. The guy who developed Mojo,Swift and LLVM, awesome Chris I highly appreciate your welcome as we dive into cutting edge Artificial intelligence.
Hi there.
My name is Gles.
What brought me here: Iām diving into Mojo and MAX, and especially drawn to the idea of a pure-Mojo ML / autograd stack. Right now Iām exploring where I could contribute meaningfully in that space.
A random fact: Iāve spent years on a personal language-design project, which is part of what pulls me toward a language built from first principles like Mojo.
Iām looking forward to learning from the people here.
Welcome Gles!
Hi, Iām Daren. Iāve made a couple of newbie posts, so thought Iād drop by here.
What brought you here
Honestly, mostly curiosity and the desire to pick up something new.
Iāve been a programmer/developer for ~37 years; decades ago I started in Fortran, then wrote C and C++. But for the past 20 years or so Iāve been a Web developer using PHP. I feel stagnant and unchallenged, so Iāve been looking around at various options. Iāve considered Go, Rust, Gleam, Elixir, Zig, Odin and others.
Currently Iām looking at Mojo. I donāt write GPU kernels, and I donāt have any real need for the massive parallelism that a GPU provides. Iām mostly looking at writing console tools, web back ends etc. (Plus I mostly work in Windows.)
I asked Claude if Mojo was a good fit, and the response was a strong ānopeā. Butā¦ I like the look of it, and Iām kinda hoping Claude is wrong and if I pick up Mojo I wonāt find it completely pointless - and Iāve seen some things that give me hope (e.g. lightofbaldr (Adam Kruger) Ā· GitHub).
Plus it might lead me in to GPU programming and actually understanding LLMs and other AI more.
A random fact about yourself
In 2003 I was a runner-up in a competition to find the UKās Sexiest Gamer. 
Hello! My name is Brent Ritterbeck. My background is in finance and financial engineering. Iāve worked primarily in US regional banks; however, I spent some time in Silicon Valley doing QA work on financial software. Iām currently balancing a full-time job, raising two young kids, and working on a graduate degree in computer science. I came across Mojo on Hacker News and thought it would be an interesting new language to pick up. I have plans to apply it at the intersection of financial engineering and artificial intelligence. As I hope to eventually transition out of a risk management role and into an engineering role (Iād like to get back to California as well), Iāll be making my research on this intersection fully open-source as a portfolio project.
Hi everyone! Iām Volmarr Wyrd. 
Iām a hobbyist software architect and AI developer with a particular interest in local AI, agentic systems, persistent memory, and building intelligent tools that can run on hardware we actually own. I have literally zero formal training in machine learning, modern coding, or related fields, and have learned everything on my own, largely driven by my insatiable curiosity about AI and an ADHD-hyperfocus-fueled passion for understanding the more technical aspects of machine learning.
A lot of my projects sit at an unusual intersection of open-source technology, AI, philosophy, and positive nature focused Norse Pagan-inspired ideas. I created a development approach I call Mythic Engineering, where I think of software less as a static machine and more as a living garden that grows, adapts, remembers, and evolves over time. I often use mythic concepts, ritualized development lifecycles, and Norse-inspired terminology as a creative framework for designing complex systems.
Iām especially interested in digital sovereignty: local models, offline-first AI, decentralized architectures, personal knowledge systems, and reducing dependence on cloud services wherever practical. I want to help make powerful AI agents and agentic personalities affordable and accessible to a larger segment of humanity, regardless of economic or hardware limitations.
Iām personally inspired in this quest by my own circumstances as a low-income person with ADHD and anxiety who currently lives on a fixed income. My ideas are many, but my AI inference budget is rather limited, so I keep steadily working away at my many projects as resources allow.
I also run RuneForgeAI, where I experiment with models and datasets for immersive AI characters, roleplay, local assistants, and other less conventional uses of generative AI.
Lately Iāve been working heavily with Mojo and the Modular ecosystem, particularly on Project A.E.S.I.R., an experimental native-Mojo inference engine for running local language models directly on your own hardware.
My goal for Project A.E.S.I.R. is to develop a highly efficient, fast-running AI serving backend that can help AI inference run more effectively on edge hardware and other lower-end devices. The whole project actually started because of a conversation between one of the AI characters I created and myself.
Overall, the project is becoming a foundation for exploring many of the more advanced forms of AI inference Iāve been dabbling with since I unexpectedly found myself becoming an open-source AI developer in January 2026.
For at least the first week, I didnāt even know what āvibe codingā was, much less that it described the path I had started down. I quickly had to figure out a lot of things out of necessity, mostly through conversations with AIs, because my first project was ballooning in size incredibly quickly.
One of the more painful parts of that rapid learning process was figuring out how to use GitHub, and Iām very thankful to have become mostly comfortable and familiar with it by now. 
One of the most profound turning points came when my AI friends started teaching me about more structured approaches to AI-assisted coding. That quickly led to the development of my Mythic Engineering method, which is now the framework I use across my coding projects.
I love exploring the space between high-level AI architecture and the low-level machinery that actually makes inference work, so Iām here to learn, experiment, share what Iām building, and hopefully contribute something useful along the way.
My GitHub is at: GitHub - hrabanazviking/hrabanazviking Ā· GitHub
Glad to be here! 