We help founders increase operation output
with AI that knows your business.

“I worked with Malvin extensively at Overproof, and he's one of the rare AI builders who consistently ships real, end-to-end automation. He automated a large portion of our internal workflows across data ingestion, analysis, and content production — delivering meaningful time savings, not demos. The most impressive project was a fully automated media pipeline: collecting news, synthesizing insights, generating a podcast script, producing a two-person AI podcast, recording it, and auto-publishing with minimal human intervention. It worked reliably. Malvin combines strong product judgment with deep hands-on execution across AI agents, n8n, Supabase, and RAG. Highly recommended.”

“Working with Malvin was honestly a great experience. He built the system flawlessly and the UI looks clean. Everything was done quickly and with real attention to detail. What I appreciated most was how he shared helpful advice and professional opinions along the way, not just following instructions blindly. He's super outgoing and easy to talk to, the kind of person you actually enjoy collaborating with. 10/10 and I'd definitely hire him again.”

“Malvin built and hardened a multi-service AI automation platform for us — integrating APIs, managing error handling, and delivering a system that runs reliably in production without babysitting. What impressed me most was his ability to take a high-level brief and translate it into clean, scalable architecture. He flags risks proactively, documents thoroughly, and genuinely cares about the end result.”

“I worked with Malvin on n8n automations and he has a strong, practical understanding of the platform. He's comfortable building and troubleshooting complex workflows involving APIs, webhooks, conditional logic, loops, and custom JavaScript, and he knows how to structure automations so they're reliable and scalable. He communicates clearly, asks the right questions up front, and doesn't just follow instructions blindly — instead suggesting smarter or more efficient approaches when appropriate.”

“I worked with Malvin extensively at Overproof, and he's one of the rare AI builders who consistently ships real, end-to-end automation. He automated a large portion of our internal workflows across data ingestion, analysis, and content production — delivering meaningful time savings, not demos. The most impressive project was a fully automated media pipeline: collecting news, synthesizing insights, generating a podcast script, producing a two-person AI podcast, recording it, and auto-publishing with minimal human intervention. It worked reliably. Malvin combines strong product judgment with deep hands-on execution across AI agents, n8n, Supabase, and RAG. Highly recommended.”

“Working with Malvin was honestly a great experience. He built the system flawlessly and the UI looks clean. Everything was done quickly and with real attention to detail. What I appreciated most was how he shared helpful advice and professional opinions along the way, not just following instructions blindly. He's super outgoing and easy to talk to, the kind of person you actually enjoy collaborating with. 10/10 and I'd definitely hire him again.”

“Malvin built and hardened a multi-service AI automation platform for us — integrating APIs, managing error handling, and delivering a system that runs reliably in production without babysitting. What impressed me most was his ability to take a high-level brief and translate it into clean, scalable architecture. He flags risks proactively, documents thoroughly, and genuinely cares about the end result.”

“I worked with Malvin on n8n automations and he has a strong, practical understanding of the platform. He's comfortable building and troubleshooting complex workflows involving APIs, webhooks, conditional logic, loops, and custom JavaScript, and he knows how to structure automations so they're reliable and scalable. He communicates clearly, asks the right questions up front, and doesn't just follow instructions blindly — instead suggesting smarter or more efficient approaches when appropriate.”