All experiments

Experiment 05 / Yogimoca / 2026

How is a professional profile actually read?

Professional life increasingly means being interpreted through a deforming mirror. Yogimoca shows something closer to that constructed reading — and what to do next.

FounderProduct designSolution architectureLead full-stack development

01 / Hypothesis

Make the deforming mirror inspectable.

Recruiters, hiring systems, networks and AI all build representations of a person that the person rarely gets to see — while AI unsettles which skills and positions hold value. Yogimoca starts from that asymmetry, for people looking for work and for people simply asking where they stand.

02 / Smallest loop

Show the reading. Make it actionable.

  1. 01

    Share career material: CV, LinkedIn, GitHub, a website or plain words.

  2. 02

    Receive an analytical reading: standing, strong evidence, gaps.

  3. 03

    Compare the profile against a concrete opportunity.

  4. 04

    Act — enrich, reposition, generate documents — and change the next reading.

One core profile, multiple opportunities.

  1. Different assets build one core profile
  2. The core profile is tailored to each opportunity
  3. Opportunities take shape as your chances get maximized
Mechanism demonstration · not usage data

A core professional profile builds up from several distorting sources: CV, LinkedIn, GitHub, portfolio. Professional opportunities take shape as a tailored sub-profile is built to answer each one.

The professional self; CV; LinkedIn; GitHub; Portfolio; Opportunity 01; Opportunity 02; Opportunity 03.

Core mechanismOne core profile feeds every opportunity; each gets a tailored sub-profile, not a copy.

Control boundarySub-profiles stay grounded in real evidence — tailoring, never invention.

03 / Division of labour

AI contributes. People remain accountable.

AI leverage

Where models contribute

Models construct the reading: profile analysis, opportunity comparison, evidence-grounded documents and guidance.

Human judgment

Where responsibility stays

Users own the evidence and the decisions. I own the boundary: an analytical perspective, never a claim to reproduce an employer’s private screening.

04 / Product evidence

Live — and already corrected by its users.

Public production screens. September history records the corrections: value before optional enrichment, centralized profile answers, dedicated application workspaces.

Yogimoca public intake inviting career material such as a CV, LinkedIn, GitHub or plain words.
Production UI / evidence before accounts
Yogimoca mobile intake offering the same evidence-first entry point.
Production UI / the same reading on mobile

Reality check / users answered back

Built and shipped in September 2026. Early use contradicted parts of the original flow: value had to arrive before optional enrichment, answers had to be centralized, applications needed their own workspaces. The repository records those corrections. Still unproven: organic acquisition, retention and measurable professional outcomes.

Next test

Does a reading people can finally see change what they do next?

Visit Yogimoca