Project summary

VAYQ started from a pretty simple frustration: when a person or a business needs something, finding the right option can take far too much time.

You search in different places, contact people, compare offers, ask the same questions more than once, and still may not know who is actually the right fit.

I am building VAYQ to make that process much simpler.

The basic idea is this: you explain what you need once. VAYQ should understand the request, ask follow-up questions if something is missing, find relevant people or businesses, and help compare the options.

The need can be almost anything. A business may need two workers for one day. Someone may need transport, a supplier, a contractor, or another service. The tasks are different, but the underlying problem is the same — matching a specific need with the right supply.

I am starting in Ukraine because this is where I am based and where I can test the system first. But VAYQ is not meant to stay local. If the core works well, the same approach can be tested in other countries and across different types of markets.

I also think AI agents will gradually take over more tasks for people and businesses. VAYQ is being designed with that future in mind, so that eventually authorized AI agents could use the same market infrastructure to search, compare options, and interact with other participants.

What are this project's goals? How will you achieve them?

Right now, VAYQ is still being built. The next step is to get it in front of actual users and see what holds up outside the development environment.

At this stage, I want to answer a few basic questions. Can someone use VAYQ without me explaining every step? Can the system understand what they need well enough to make useful matches? And can the process actually lead to a completed task instead of stopping at a list of options?

A simple example would be a small business that needs two workers for one day. Instead of posting the same request in several places and checking every reply manually, the business describes the need once. VAYQ should help clarify the request, find suitable candidates, compare the options, and help move the task forward.

I want the first pilot to stay small on purpose. I am not trying to show growth yet. I want to see where people get confused, where the system makes weak decisions, and what needs to be changed before trying to scale anything.

If that works, the next step is to make the process more repeatable, add more types of tasks, and prepare VAYQ for use in more markets and countries.

What are this project’s goals? How will you achieve them?

Right now, VAYQ is still being built. The next step is to get it in front of actual users and see what holds up outside the development environment.

At this stage, I want to answer a few basic questions. Can someone use VAYQ without me explaining every step? Can the system understand what they need well enough to make useful matches? And can the process actually lead to a completed task instead of stopping at a list of options?

A simple example would be a small business that needs two workers for one day. Instead of posting the same request in several places and checking every reply manually, the business describes the need once. VAYQ should help clarify the request, find suitable candidates, compare the options, and help move the task forward.

I want the first pilot to stay small on purpose. I am not trying to show growth yet. I want to see where people get confused, where the system makes weak decisions, and what needs to be changed before trying to scale anything.

If that works, the next step is to make the process more repeatable, add more types of tasks, and prepare VAYQ for use in more markets and countries.

How will this funding be used?

The funding would mainly help me get VAYQ from the current development stage to a point where it can be tested properly with outside users.

Part of the money would go into development, AI services, hosting, testing, and the work needed to make the system stable enough for a first pilot.

Another part is about reliability. I am developing VAYQ in Ukraine, where power cuts and internet interruptions can stop work for hours. I want to set up a stronger development workstation, backup power, reliable networking, and Starlink so I can keep working when that happens.

The funding would also help me bring in the first users and providers, run the pilot, and fix the issues that only show up when people start using the system on their own.

I am not trying to build a large team at this stage. I would rather keep the setup small, finish the core properly, and spend the money on getting VAYQ into real use.

Who is on your team? What's your track record on similar projects?

At the moment, I am leading VAYQ myself.

I am responsible for the product direction, the architecture, the development process, and testing. I use AI development tools a lot, and when I need something more specialized, I bring in outside help.

My background is not in venture-backed software startups. I come from running businesses and building technical products. Over the years, I have worked directly with customers, suppliers, contractors, and projects where the result had to work in practice, not just look good on paper.

I have not built a marketplace like VAYQ before. What I do have is experience in taking a practical problem, trying a solution, testing it in real conditions, and changing it when the result shows that something is wrong.

That is the same approach I am using here: build carefully, test early, and only expand when the core starts to prove itself.

What are the most likely causes and outcomes if this project fails?

The biggest risk is that VAYQ may be trying to solve too much too early.

The idea is broad, and that can become a problem if the first version does not solve one specific use case well enough.

Another risk is human behavior. Even if VAYQ can technically find good matches, people may still prefer the tools and habits they already know. Trust will matter just as much as the technology.

There is also uncertainty around the future role of AI agents. I believe they will become more involved in everyday business and market activity, but the way that happens may be different from what I expect today.

If VAYQ fails, I would rather learn that from a small pilot than after spending much more time and money on the wrong assumptions.

Even then, I think the project would still give me valuable information about how people describe needs, where matching breaks down, what creates trust, and which parts of the system are worth keeping or rebuilding.

How much money have you raised in the last 12 months, and from where?

VAYQ has not raised any external funding in the last 12 months.

So far, I have been developing the project using my own time and resources.