Chapter 11 of 11
An Invitation
This publication is a first version of the framework. It’s alive and will evolve — through conversations after publication, through practice, through criticism, through communication.
Where this already works
I’m the founder of the recruiting platform reintech.ai, where we partially apply the approaches described here when building teams for clients. We don’t just match résumés. We look at spectrums: which qualities are already in the team, which ones are thin, how a new member will complement the whole.
In parallel, I’m open to opportunities for a fuller practical application of these approaches in companies — including the one where I work now. Time will tell what comes of it.
Where this is going technologically
I’m thinking about building a simple web application to make the framework visible and usable: a team matrix, baseline and goal, peer evaluation, value flow map, spectrum visualization, group lifecycle. To start, a working prototype — a way to check how the ideas in this publication translate into something practical.
Interestingly, there’s already a whole industry doing part of what I’m describing. Organizational Network Analysis — both active (survey-based) and passive (via communication metadata). Confirm builds everything on ONA and predicts retention with 73% accuracy by detecting declining collaboration. Innovisor formulated the “three percent rule” — the 3% of employees who can ignite change across 90% of the organization. HOW4 uses four unbiased questions and achieves 90%+ response rates. Polinode, Microsoft Viva Insights, Worklytics, SWOOP Analytics, Humanyze — all of them measure network metrics, classify ties, build heatmaps of collaboration.
But here’s what matters: none of these tools think in terms of gyrator structure, complementary spectrums, or the rate at which resources turn into value. They measure activity and connectivity, but not structural completeness or the quality of value conversion. With the theoretical foundation that Malyuta’s work provides, this field can go much deeper. The opportunity is real.
A note on sources
This framework stands on the life’s work of Oleksandr Malyuta. He developed the theory of hypercomplex dynamic systems as a universal language for describing systems of any nature — physical, biological, social, organizational. Two monographs — “Hypercomplex Dynamic Systems” (Lviv, 1989) and “The System of Activity” (Kyiv, 1991) — contain the formal, mathematical foundation of everything described on these pages.
That his work remains largely unknown outside Ukrainian- and Russian-language academic circles is itself an example of the structural problem this publication is about: value that exists but can’t flow across borders. I hope this publication helps that flow begin.
Who to write to
If any of this resonated — or if you think it’s wrong and want to say why — I’d genuinely like to hear.
If you’re looking to hire engineers for your team according to the principles described here and with the realities of the AI era in mind — reintech.ai is for that.
Sasha Bondar
sasha@gyrator.io · linkedin.com/in/obondar