Award-winning creative-tech studio

U x Machina operates at the intersection of creativity and advanced technology, where standard hiring pipelines simply don’t work. The company regularly needs:

• Highly specialised WebGL developers
• Experimental designers blending code, interaction, and storytelling
• Niche technical profiles with unconventional portfolios

These individuals are:

• Rare and distributed across different platforms
• Often not actively looking for jobs
• Overwhelmed with generic outreach from recruiters

Karol Góreczny, U x Machina CCO says:

Traditional hiring methods—LinkedIn searches, job postings, outbound recruiting—resulted in:

• High time investment
• Low response rates
• Difficulty identifying truly relevant candidates

U x Machina adopted YesScale.ai as its exclusive hiring solution, replacing manual sourcing and outreach with an intelligence-driven workflow.

Instead of searching manually, the team:

• Defined hiring needs as structured briefs
• Included context like project types, tech stack, and creative expectations
• Let YesScale.ai surface relevant individuals across multiple platforms

According to Maciej Zasada, U x Machina CEO:

The key shift is:

→ From searching for candidates to discovering aligned individuals with contextual signals

YesScale.ai became a central layer in U x Machina’s hiring process:

1. Multi-channel talent discovery

Candidates were surfaced not only from LinkedIn, but also from developer-native platforms like GitHub, unlocking:

• More authentic signals of capability
• Access to talent not visible in traditional hiring channels

2. Signal-based matching

Instead of keyword matching, YesScale.ai identified:

• Relevant projects and repositories
• Creative work aligned with U x Machina’s style
• Behavioral signals (activity, focus areas, interests)