outricher/brighty app
Research study · open professional data
Brighty App — analytical breakdown.
This is a study of Brighty built entirely from open professional data — no access to internal systems. We worked through four angles: company and team, hiring dynamics, profiles of the potential audience, and candidate research for open roles. Each section pairs an analytical breakdown with the structured dataset it was built on — one you can verify yourself. The reports follow in order: the natural place to start is report #1 (company, team, hiring).
reports with analysis
people in the full archive (45 current + 15 departed)
roles analyzed + ICP across 6 positions
relevant contacts delivered in ready samples — from ~50,000 analyzed in the pools
prepared 2026-06-28 · MEASURED · Outricher data
Where the data comes from — and why you can trust it
- Stitched into one profile. One person = career + company + code + contacts, not five disconnected lists.
- Deep and complete. On average ~116 fields per person (up to 148): role, tenure, location, education, skills.
- Fresh. The graph updates continuously — this is not a three-year-old export.
- Refreshed on demand. Any profile or company can be pulled live at the moment of the deal.
Every report is assembled from a single building block: a profile where career, company, education, skills, contacts, and public code are stitched into one object. Up to 148 fields per person (on the Brighty export — 116 on average), all searchable and filterable. The graph holds 1.17B such profiles.
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Reports
Each report pairs an analytical breakdown with the dataset behind it. The cards are clickable — open any report in full.
Brighty App — company, team, hiring
the first snapshot: who's on the team, where they came from, where they are, and how hiring looks
Brighty App under the microscope — a deep dive
a clinical breakdown: the whole team by name, the company's history, hiring + candidates
Brighty App — who the audience is and how we find them
8 profiles of the potential audience across 4 demand vectors — each reasoned and verified against the graph
Brighty App — the full team archive: who, when, and where they are now
not just current people, but those who left too: 60 people over 6 years, with tenures, attrition, and "where they are now"
Brighty Business — which companies could become customers
a new angle: not the app's audience, but companies that could use Brighty Business
Brighty App — open roles and candidate sourcing: ICP research
all 68 roles analyzed + candidate research across 6 positions (senior + high-potential mid-level)
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Extras — research and hypothesis checks
An experimental layer: we try angles that weren't in the original brief and test them against your data. Some will land, some won't; we'd welcome your feedback on where to dig next.
Brighty's competitors: hiring as a public roadmap
hypothesis: competitor hiring reveals market strategy — tested across 8 companies
Candidates for the biggest gap — sourced from the competitor map
the map showed "marketing/growth = 1" → we built the pool to fill it
Directions we'd like to be useful in
4 hypotheses for your review + what's already done + where we need your input
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All datasets
Ready-made datasets behind each report: sampling, enrichment, scoring, and segments. Request a dataset directly, or open the parent report for the full breakdown.
7 segments of potential Brighty App users + B2B companies for Brighty Business — each with a rationale and a check against the graph. Full breakdown in report #3 and the "Customer Discovery (B2B)" report.
EU companies with a fresh round
Young EU fintech / crypto / payments companies that recently raised ($0.5–50M, Pre-seed → Series C) → new money across currencies and a growing headcount. A direct B2B customer for Brighty Business. From the "Customer Discovery (B2B)" report.
Switchers from competitor crypto cards
Employees of Crypto.com / Nexo / Bitstamp / Wirex in Brighty's operating zone — already carrying someone else's crypto card. From report #3.
Fintech early adopters (neobanks)
Employees of Revolut / N26 / Monzo / Vivid — early adopters of new money apps; Revolut = a warm channel. From report #3.
Crypto-paid professionals in the EU
People already earning income in crypto, in Brighty's operating zone — plus the B2B founders among them. From report #3.
Diaspora professionals in the EU
Studied in a source country (RU/UA/IN/CN/TR/BY/KZ), now professionals in the EU — a cross-border, multi-currency life. A career analysis based on education. From report #3.
CIS IT/crypto relocators
Left a CIS tech/crypto employer for the EU after 2022 — recently arrived, with an acute need for an IBAN. A career analysis based on the previous employer. From report #3.
Web3-gaming / creator studios
Employees and founders of EU GameFi/NFT/creator studios (Sorare, The Sandbox, OpenSea…). Two pitches in one company: a business account (B2B) + For Creators (B2C). A set of companies. From report #3.
Shariah audience (partner network)
Brighty's partner ecosystem — a public alliance with HAQQ (a Shariah blockchain) — plus Islamic neobanks and banks across the EU + Gulf. A channel backed by a partnership. From report #3.
Candidates for Brighty's 6 roles — research from report #5 (roles + ICP).
AML / MLRO — candidates for the regulatory function
Candidates for the hardest role to fill (MLRO reopened 6×) — a deeply enriched sample across two maturity tiers, with named senior/mid tables. From report #5.
CISO / InfoSec — security hires
Crypto-native security for the open CISO role (reposted ×4) — two maturity tiers. From report #5.
CFO / chief accountant / finance — regulatory reporting
Finance leaders for the open chief-accountant role (reposted ×3): IFRS consolidation and EMI audit-readiness — two maturity tiers. From report #5.
UX Lead / product design — regulated crypto-fiat product experience
Product designers with experience on a regulated crypto-fiat product (EMI onboarding, KYC flows, design system) — two tiers + an honest caveat on portfolios. From report #5.
Customer Success / Support Lead — support on the regulatory-risk line
Support hires for the actual demand (Support Specialist reposted ×4): the main bet is a rising specialist→lead. An honest split of "active now / CS alumni." From report #5.
Data Analyst — who fills the measured analytics gap
A measured gap: Data/Analytics = 0 current / 1 departed (100% attrition). A product/growth analyst for post-round investor requirements — the main bet is a rising mid-level. Honestly: 121 DS flagged for review, GitHub is a bonus, not a filter. From report #5.
All 6 hiring roles are researched (AML / MLRO · CISO · CFO · UX Lead · Customer Success · Data Analyst). Audience profiles are in report #3.
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A short summary from public information
A few findings from the reports above — each went through "hypothesis → check against the data." Everything is measured against the external professional graph, with no access to Brighty's internal systems: this is what's visible from the outside today. The goal isn't to "catch" anything, but to help you see what's hard to see from the inside.
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About the client
| Field | Value |
|---|---|
| Company | Brighty App AG |
| What they do | Crypto-fiat neobank (CHF/EUR ↔ crypto), consumer app |
| Legal entity / HQ | Baar, Canton of Zug, Switzerland · founded 2020 |
| Domain | brighty.app |
| Team | 45 current + 15 departed = 60 in the full archive, 17 countries, hubs in Vilnius and Dubai |
This is a breakdown of a single company, built from open professional data. The same method reproduces for any company, segment, or role — with its own filters and criteria. Questions and feedback on the analysis: hi@outricher.com or @outricher.
Data on request
Want this data, or the same cut for your company?
The datasets are not published here: they are named people with contact details, and that is the product. Tell us which cut you need and we send it, or run the same brief for your own company or ICP.
What you send
The dataset you want from this study, or a target company / ICP of your own. A line about the use case helps.
What you get back
The full records (XLSX, CSV, JSONL with the same field set), ready-made segments, scoring, and a short analysis in the format of this report.
Request
Request the data by email →Telegram — @outricherhi@outricher.com · outricher.com/intro — who we are & more examples