Identity Shop ™

The shopping algorithm that only works for you.

Nike SuperRep Go 3
94%match

Nike SuperRep Go 3

Nike · Training · HIIT · $159

Signals detected

4 gym sessions/week via Apple Health since October
Current shoes: 14 months old, 340+ hours tracked wear
68% of workouts are HIIT or circuit-based via Strava
3 Nike product pages browsed in Safari last 2 weeks

Algorithm reasoning

Your training is HIIT-dominant and your current shoes are past their effective life. The SuperRep is purpose-built for lateral movement and explosive transitions -not a running shoe disguised as a trainer. Your browsing shows you’re already looking, but at the wrong models -the Metcon is overkill for your volume.

Swipe or use buttons · Real algorithm outputs from real users

Two algorithms.
One works for you.

Their algorithm

1

Observes

Tracks every click, scroll, and hover. Builds a shadow profile you never agreed to.

2

Predicts

Uses collaborative filtering to guess what you’ll buy based on what strangers bought.

3

Sells

Promotes products that pay the highest margin, not the best fit.

4

Keeps your data

Stores everything. Sells it. Uses it against you in pricing and ad targeting.

Your algorithm

1

Connects

Link apps you already use — Strava, Spotify, Gmail. Your data is read on your device. Never uploaded. Never stored on our servers.

2

Reasons

First-principles analysis of your identity signals. No pattern matching. No guessing. Pure logic.

3

Recommends

Products that genuinely fit your life. With full reasoning you can read and challenge.

4

Learns

Your algorithm gets smarter over time. On-device memory means better recommendations — without your data ever leaving.

The algorithm’s
case files.

Every recommendation is a chain of reasoning. Here are two, unedited.

94%

Billabong Absolute 4/3mm Wetsuit

Surf · Performance · $449

Signals detected

34 surf sessions tagged at Coolangatta since March
Winter frequency increasing 40% year-on-year
Current wetsuit: 4+ year purchase gap detected
Patagonia purchase history + sustainability-tagged saves
Height-to-weight ratio cross-referenced with fit data

Algorithm reasoning

The algorithm detected a hole in your setup. Literally. Your last wetsuit purchase was over four years ago, and your winter session frequency is climbing. Billabong won over the Rip Curl E-Bomb on fit data for your body type. The 4/3mm thickness matches your Coolangatta water temps from May through September. The algorithm didn’t guess -it measured.

96%Highest confidence

AeroPress Clear

Coffee · Brewing · $59

Signals detected

$47/week average cafe spend via bank feed
Moka pot purchased 2022 -usage dropped to zero by Q3
4 YouTube videos on pour-over technique watched
Morning routine locked at 06:30 with 94% consistency
Kitchen object usage patterns analysed via Photos

Algorithm reasoning

The algorithm also recommended a Chemex. That was wrong. This is right. The Moka pot purchase shows you tried upgrading from instant but the usage drop-off reveals frustration with the process. AeroPress is faster, more forgiving, and produces better results for your patience level. Your morning routine consistency means you’ll use it daily. No notes. Highest confidence.

What powers
the algorithm.

These companies already have your data. The highlighted ones sell it. Why not use it for yourself?

StravaSpotify ·Apple HealthScreen TimeGmail ·Instagram ·Netflix ·LinkedIn ·CalendarMaps ·PhotosPodcastsSafari ·YouTube ·Uber ·Deliveroo ·Afterpay ·Apple PayBank FeedNotesMessagesFitness+Sleep CycleClaudeAmazon ·GarminWhoopFitbitGoogle Calendar ·NotionTodoistAudibleGoodreadsPinterest ·TikTok ·PayPal ·Airbnb ·HeadspaceCalmDuolingoReddit ·RobinhoodWhatsApp ·XeroGoogle Photos ·Google Drive ·Dropbox

Already selling your data to advertisers

Claude

Conversation history, intent patterns, stated preferences

Strava

Activity type, GPS routes, training frequency and intensity

Spotify

Listening patterns, genre affinity, mood and focus signals

Apple Health

Sleep cycles, heart rate zones, movement and recovery

Screen Time

App usage, focus sessions, daily behaviour patterns

Bank Feed

Spending categories, purchase frequency, brand loyalty

Photos

AI analysis of owned items, places visited, lifestyle context

Gmail

Purchase receipts, shipping confirmations, subscription activity

Build your algorithm.

Three steps. Your identity model. Your data stays here.

01

Who are you?

Select what resonates. Choose a location for local results.

The origin · 2020

“What if the algorithm actually worked for you instead of against you?”

A scribbled idea on the back of a notebook, watching Black Mirror. Four years later, it’s real.

Every shopping algorithm on earth works the same way: observe behaviour, infer intent, predict purchases. The model is surveillance. The output is manipulation.

Identity Shop ™ inverts the entire premise. It asks who you are. You tell it. Voluntarily. Transparently. Then it reasons, from first principles, about what you actually need. No collaborative filtering. No behavioural prediction. No data that leaves your device.

The result isn’t just more accurate. It’s the first recommendation you’ve ever received that you can fully explain.

Dom Buckland, Founder

Privacy is not a feature.
It’s the architecture.

0

Cookies

0

Tracking pixels

0

Servers that store your identity

0

Accounts required

This isn’t a promise. It’s the code.

How your data works

Personalisation without
surveillance.

Every recommendation engine asks for your data. We’re the only one that never takes it.

Your device does the work

When you connect Strava, Spotify, or Gmail, your data is fetched directly to your phone or browser. Our servers never see it. The algorithm runs against your data locally, then the signals are discarded.

We can’t see your data

This isn’t a policy decision. It’s an architectural one. The system is built so that your identity data physically cannot reach our infrastructure. There is no database of user profiles. There is no way to build one.

Your model stays on your device

Your recommendation history, your preferences, your feedback — all stored in your browser or app via on-device storage. If you clear it, it’s gone. If you don’t, your algorithm gets smarter. Either way, it’s your choice.

What we see vs. what you see.

What our servers see

An anonymous API request
A set of lifestyle signals (no name, no email, no account)
A request for product recommendations
Nothing after the session ends

What stays on your device

Your full identity profile and preferences
Connected source data (Strava activities, Spotify listening, Gmail receipts)
Recommendation history and feedback
A learning model that improves over time

Questions you should ask.

“If I connect my Gmail, can you read my emails?”

We search for purchase receipts and shipping confirmations only. The search happens on your device. We never see the content, the subjects, or the senders. After signals are extracted, the raw email data is discarded from memory.

“What happens to my data if I delete the app?”

It’s gone. Your identity model lives in on-device storage. There’s no cloud backup, no sync, no account to delete. Uninstall the app and every trace of your data disappears with it.

“How do you make money if you don’t sell data?”

The product is the product. Not you. We don’t sell data, we don’t serve ads, and we don’t take affiliate commissions that bias recommendations. The algorithm works for you because you’re the only one paying for it.

“Can you prove this?”

Open your browser’s developer tools. Watch the network tab. You’ll see exactly one API call — anonymous lifestyle signals in, product recommendations out. No tracking pixels. No third-party scripts. No fingerprinting. The architecture is the proof.

Questions.

Build your identity.
Don’t sell it.

Identity Shop ™ launches soon. Be first.

No spam, ever.