Hi 👋
I'm Val Kamenski, and I believe technology should make our lives simpler, smarter, and more efficient.
As the founder and Co-CEO of Klika Tech, I work with clients worldwide to bring innovative IoT and AI solutions to life.
My journey began in the trenches of software development, where I discovered my passion for building not just great code, but great teams and products. Over the past decade, I've specialized in creating and managing high-performing remote teams that deliver exceptional results.
Today, I'm fortunate to combine my technical expertise and leadership experience to mentor the next generation of tech entrepreneurs. I work closely with startup founders as part of the VMT team, helping them navigate the challenges of building and scaling successful tech companies.
I focus on the areas that matter most to early-stage tech companies:
Whether you're just starting your entrepreneurial journey or looking to scale your existing tech business, I'm here to share insights from my experience and help you avoid common pitfalls along the way.
Whenever I start a conversation about electric vehicles (EVs), the first thing people tend to talk about is the environment – fighting global warming, cutting down on pollution, and all that. Dont't get me wrong, those are great points. But honestly, I think progress in the EV industry is needed to go beyond being eco-friendly, even though EVs aren’t as "eco" as some may think (subject for a separate conversation).
My first recommendation to non-technical founders is simple: find someone with strong IT expertise to join your team as a Chief Technical Officer (CTO). The right person in this position can guide you through all those tricky technical decisions, and together you will turn the idea into reality.
The term "AI" itself seems too convincing for many, creating an illusion that it can handle almost any task and even better than humans.
While today most people focus on which company will develop the most advanced LLM, I want to look beyond this horizon. As someone deeply involved in the IoT and helping companies connect devices to the cloud, I've been pondering the future role of IoT in the world of AGI.
LLMs, they're like a mix of super-advanced data compression and search algorithms. They try to predict the next "token" based on the training data and prompt you give them. So, when you ask them to count something, they don't really count - they just make an educated guess. They simply can't count.