Social Financial Discovery

Your spending
tells a story

Flosh transforms transaction data into shared social experiences. Discover where your friends go, compare habits, and unlock insights — without ever exposing what anyone spends.

Orbit
Lost Runners
Lost Runners
Travelers
Travelers
Coffee
Coffee
Coffee Club Coffee Club — Top Visits
1
Starbucks 14 visits
2
Half Million 11 visits
3
Dunkin 9 visits
4
Barn's 6 visits
Good morning ☀️
💬
🔔
AI
Ask me anything about your spending...
This month
SAR 10,672
12% less than last month
✨ Discoveries
Sara discovered a new Al Baik spot you might like
2h ago
You and Ahmed both visited Dunkin 4x this week
5h ago
Your Travelers group is on fire 🔥 this week
1d ago
Matchup
Coffee addiction showdown
You
VS
Sara
Total visits
11 14
Unique shops
5 3
Shared spots
Starbucks 4 · 6
Al Baik 3 · 2
Dunkin 2 · 4
KSA-first
Built for Saudi
SAMA
Compliant
0
Raw data stored
100%
Privacy-first

Three steps to social spending discovery

Connect your bank securely, choose what to share, and discover what your circle is up to.

01

Link securely

Connect your bank through regulated Open Banking APIs. Read-only access only — Flosh never sees your login credentials, never stores raw transaction data, and never touches your balance.

Plaid Powered by Plaid Sandbox
256-bit encryption · Read-only · No credentials stored · Connector-agnostic architecture · Any market, any provider
02

Flosh your merchants

Choose which merchants to make visible to friends. A simple on/off toggle — we call it "floshing." Off means invisible. Always.

Starbucks Starbucks
Al Baik Al Baik
Nahdi Nahdi
03

Discover together

See where your friends go, run matchups, climb group leaderboards. Only visit counts — never amounts. Social discovery, not surveillance.

Sara discovered a new shawarma spot
🏆 You're #2 in Coffee Club this month
🤝 You and Ahmed share 4 merchants

Built for discovery,
not data analysis

Flosh isn't a budgeting app. It's the social layer your transactions never had.

Merchant Matchups

Go head-to-head with friends. Who's the bigger coffee addict? Who's tried more restaurants? 1v1 comparisons powered by visit counts — never spend amounts.

"You: 11 visits · Sara: 14 visits"
🏆

Group Leaderboards

Create friend groups and watch the rankings update in real time. Top coffee shops, most-visited restaurants, gym consistency crowns. Friendly competition at its best.

groups → leaderboard → merchants → visits

Smart Discoveries

"Sara found a new shawarma spot this week." "You and Ahmed both go to the same gym." Unexpected overlaps and new finds, surfaced automatically from your circle's activity.

patterns → overlaps → recommendations
🔒

Binary Privacy Controls

Every merchant is either floshed (visible) or hidden. No middle ground, no ambiguity. You control the toggle. Inner Circle friends get a deeper view. Everyone else sees less.

floshed = visible · not floshed = invisible

Your data stays yours. Always.

Flosh is built privacy-first from the ground up. We don't store your raw bank data. We never see your login credentials. And we never share actual spend amounts — only aggregated visit counts.

No raw data storage

Only enriched transaction metadata. Your bank data stays with your bank.

Open Banking API

Read-only access through regulated infrastructure. No screen-scraping.

Aggregates only

Friends see visit counts and merchant names — never what you actually paid.

SAMA-compliant

Architected for KSA regulatory compliance from day one.

Data Flow Architecture
🏦
Your bank sends encrypted data via Open Banking API
🔐
Flosh extracts merchant + visit count only
🗑
Raw transaction data is immediately discarded
👥
Only floshed merchants are visible to friends

Not another budgeting app.
A new category.

The world has enough tools that make you feel guilty about spending. Flosh is about discovery, connection, and the stories your transactions already tell — if you let them.

Traditional Personal Budget App Flosh
Track spending to reduce it Share spending to discover more
Charts and pie graphs Matchups and leaderboards
Solo, private experience Social, shared experience
Analysis-first Discovery-first
Guilt-driven engagement Fun-driven engagement