Pull P5: diaspora specialists in the EU.
The second half of the migration family — and the most "career-analytical" portrait of them all. P5 is someone who studied in a source country (RU/UA/IN/CN/TR/BY/KZ) and now works as a professional in the EU. Cross-border, multi-currency life is their default: money sent home, EUR plus a home currency in hand, crypto as a way around banking friction. These are exactly the people served by Brighty's multi-currency IBAN + card + instant transfers. The signal is country of education, read off the career graph. You can't build a list like this from a set of companies — you have to read where a person studied. That is precisely what a founder can't do alone, and it's our differentiator.
hundreds of thousands
in the pool (EU-wide, estimate)
600
in the sample (enriched, scored)
119
fields on average (union 144)
delivery-grade · prepared 2026-06-28 · MEASURED · Outricher data · persona P5 from report №3
01Who we looked for and why
If someone studied at home but lives and earns in the EU, juggling currencies across borders is a daily routine for them.
P5 PORTRAIT · FAMILY III (MIGRATION) · STRATEGY B
Diaspora specialist in the EU
CAREER ANALYSIS
studied in RU/UA/IN/CN/TR/BY/KZ — now a professional in the EU, sending money home and juggling currencies
Why they're a customerCross-border, multi-currency life is their default: remittances home, EUR plus a home currency in hand, crypto as a way around banking friction. Among the most active crypto-wallet users — and exactly the people served by Brighty's multi-currency IBAN + card + instant transfers.
Signal in the dataA current EU resident whose education is tied to a source country (MIPT/MSU/IIT/Tsinghua/METU/Kyiv Polytechnic and others). The role is professional (income to send home); students and very junior profiles are excluded.
Source universities (sample)MIPT · MSU · ITMO · Skoltech · IIT · IIM · Tsinghua · Peking · METU · Bilkent · Boğaziçi · Kyiv Polytechnic · Taras Shevchenko · BSU · Nazarbayev · Al-Farabi
Geo gateEU/EEA + Switzerland/Andorra/Montenegro
02How many we found in total
The pool was measured against the live database. The "educated at a source university" signal is very common among EU professionals — the real audience runs into the hundreds of thousands; the constraint isn't volume, it's precision.
hundreds of thousands
EU residents with source-country education
447
flagship universities (resolved into the index)
7
source countries RU/UA/IN/CN/TR/BY/KZ
| Source country | In the sample |
|---|
| Russia (MIPT/MSU/ITMO/Skoltech…) | 294 |
| Ukraine (Kyiv Polytechnic/Taras Shevchenko…) | 103 |
| Kazakhstan (Nazarbayev/Al-Farabi) | 103 |
| Turkey (METU/Bilkent/Boğaziçi) | 70 |
| China · India · Belarus | 22 · 5 · 3 |
| Total | 600 |
This is a career analysis, not a list. Each person is selected because they studied at a university in a source country and now work as a professional in the EU. The sample is balanced across countries of origin; the full pool is in the hundreds of thousands.
03How we built the sample
600 people — a deduplicated sample, balanced by origin.
- Resolve universities into the index: flagship universities of the source countries were matched once against an indexed school identifier — so the query runs on a working index instead of a heavy text scan.
- Per-school traversal alternating across countries of origin — so no single country crowds out the sample.
- Only profiles with a current professional role in Brighty's service area — students and junior profiles excluded.
- Deduplication by profile + the full canonical field set from the first query.
04What we enriched with
A free layer from the database plus paid API top-up of the full career history. Email coverage is lower for the diaspora — these are academics and corporates whose contact details are public less often; career depth, on the other hand, is high.
26%
with email (153 people)
408
topped up via paid API (full career)
119
fields on average per person (union 144)
Contacts, honestly. Email is present for 26% (153 of 600) — lower than for crypto natives: diaspora professionals (academics, R&D, corporates) keep their contact details public less often. The paid top-up raised career and education depth (which is what the origin signal is built on): almost everyone has a full history of roles and universities. Where an email exists, it's real — we don't invent addresses. Every profile is reachable via a direct link and carries a complete career picture.
05How we scored
A p5_score (0–18) and an A+/A/B/C label. Base fit is high (source-country education + a professional role in the EU) — scoring ranks by value, reachability, and confidence in origin, with a penalty for "studying the region from abroad".
| Signal | Points | Rationale |
|---|
| Role: leader / C-level | +4 | upsell into Brighty Business (B2B) |
| Role: product / growth · engineer / finance | +3 · +2 | picks the stack · power user / treasury |
| Has email · phone | +5 · +1 | reachable right now |
| Confident origin (RU/UA/IN/CN/TR/BY/KZ) | +2 | diaspora signal is unambiguous |
| Cross-border signal in the text (language / remittances / crypto) | +2 | direct pain of multi-currency life |
| Active · career depth | +1 each | live contact + verifiable history |
| "Studied the region from abroad" (Chinese/Russian Studies, etc.) | −3 | screens out a foreigner who studied the region rather than being from it |
38
A+ — contact immediately (≥12)
269
A — high priority (≥8)
2
flagged "studied from abroad" — filter is clean
307 "hot" leads (A+/A) — with confident origin, role weight, and/or a contact. The "studied from abroad" penalty triggered for only 2 of 600 — the flagship filter is precise, with almost no false foreigners.
06Segments
Ready-made slices — each a separate file in the archive.
| Segment | People | Purpose |
|---|
| hot-a-plus (A+/A) | 307 | ★ start here |
| excl-study-abroad | 598 | clean diaspora (no foreigners) |
| b2b-decision-makers | 36 | founders/C-level → Brighty Business |
| engineering · leadership | 223 · 110 | power users · leaders |
| finance · product-growth | 41 · 32 | treasury pain · picks the stack |
| with-email | 153 | reachable by email now |
| by country of origin | 7 files | RU 294 · UA 103 · KZ 103 · TR 70 … |
Where they are now
| Country | People | Reading |
|---|
| Germany | 193 | the main magnet for the diaspora |
| Netherlands · Poland | 66 · 44 | tech hub · proximity + IT market |
| Spain · France | 43 · 39 | "digital nomads" + R&D |
| Italy · Switzerland · Belgium | 28 · 26 · 20 | science · finance · EU institutions |
| Austria · Sweden · others | 16 · 14 · ~110 | PT, IE, CZ, FI… |
07Who's at the top (preview)
The top rows by score — hot A+ leads with confident origin. The full list is in the archive.
| Current role | Studied | Route | Score |
|---|
| International Sales & Marketing | Tsinghua | CN→DE | 14 |
| Co-Founder | IIM | IN→EE | 14 |
| Product Manager (Semrush) | Skoltech | RU→ES | 14 |
| Postdoctoral Researcher | Kyiv Polytechnic | UA→DE | 13 |
| CEO / Founder | Kyiv Polytechnic | UA→PL | 13 |
★ Showing 5 of 307 hot leads. The full list is in the archive (XLSX/CSV/JSONL).
★Get the dataset
All 600 people, in every format, with scoring and segments.
Request this dataset: Request this dataset ↗ — inside:
•
leads.xlsx — Excel with every field for all 600 people
•
leads.csv / leads.jsonl / leads.json — the same data for CRM import and programmatic use
•
segments/ — 15 ready-made slices (hot, excl-study-abroad, b2b, by role, with-email, by country of origin)
•
README.md — description of fields, scoring, and coverage
- Each row is a person: name, current role,
origin_country + origin_school (where they studied), location, career, education, skills, contact sources, a p5_score, and a lead_label.
- The
likely_study_abroad flag helps screen out foreigners who studied the region; role_family is for filtering per campaign.
- The data is delivered as a secured archive by link; this is the analytical report that accompanies it.
08What this pull proves
01
Education → a real pool — hundreds of thousands
Everyone studied at a source-country university and is now a professional in the EU. This is a career analysis, not a list of companies. ESTIMATE
02
Pool → an enriched sample — 600, balanced across 7 countries
Balanced by origin, enriched for free and via paid API, scored with a "study-abroad" screen, and cut into 15 segments. ENRICHED
03
Sample → a ready file — 307 hot leads, clean filter (2 flags)
A downloadable archive with every format and slice. From "portrait" to "outreach list". ACTIONABLE
The migration family is complete. P5 (diaspora by education) + P6 (relocators by past employer) are two career-analytical portraits a founder won't assemble alone. Next up: the P7 (web3 studios) and P8 (Sharia network) niches.
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