Zihe Huang
Architecture · HCI · AI
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← Product designP—03

Glimpse

A living map of the world you define.

A camera that saves the photos you never post onto the street where you took them.

Working prototype. Shared photos build a map of places, with no names, likes or followers.

Role
Product designer & developer
Type
iOS · Android · Web
Duration
1 month
Year
2026
Built with
Expo · React Native · Supabase

“Where did my photo go?”

  1. 01People take more photos than ever.
  2. 02They look at almost none of them again.
  3. 03They sink into camera rolls and lose where they were taken.

Research

Where it started

I started Glimpse for myself. I photograph the places I go, but those photos are never posted and rarely opened again: about 20 GB of my 128 GB phone. The photos I go back to have people in them; the photos of places sit untouched. If I feel this way, do other people? I turned to published research to find out.

Where existing apps sit

Every app people already use is either public and built around people, or private and built around one person’s memories. None is public and built around places.

AppsPublicBuilt around placesNo likes or followersLayered by timeTakeaway
Instagram, Xiaohongshu, BeRealSocial appsYesNoNoNoBuilt around people and reactions; an ordinary street feels “not worth posting”.
Apple Photos, Google PhotosPhoto librariesNoPartlyYesNoWell organized, but resurfaced memories are about you.
Camera rolls, map pins, Flickr albumsPersonal archivesPartlyPartlyPartlyNoKept, but seen by no one, often not even you.
GlimpseYesYesYesYesAn anonymous archive of places, layered by hour and year.
YesPartly, or only some apps in the rowNo

High-level goals that defined my design

  1. 01Place over person.

    Put places, not people, at the centre: no names, no likes, no followers, just a catalogue number.

  2. 02Record over performance.

    Give unposted photos meaning by mapping them as memories, pinned to the real places they were taken.

  3. 03Time as a dimension.

    Show how one place changes by the hour and over the years, through everyone’s photos of it.

Glimpse turns the photos you never post into a living map of places.

Five tabs, each a different way of looking at the same photos.

  1. Your world: your photos as prints on a map of Boston, stacked where they crowd, with a year bar
    01Your world.

    Every photo you take or keep, on the street where you took it. A year bar shows one year at a time, and everyone’s glimpses are one tap away.

  2. Search: words people use and cities
    02Search.

    Places, cities and the words people use for them.

  3. The Glimpse camera on a street in Alfama: a rounded viewfinder framed by the mark’s two corners, looks underneath, an orange shutter
    03Camera.

    Works like the iPhone Camera, but the photo goes onto your map instead of your camera roll.

  4. Now at 8 pm: Rio de Janeiro and Buenos Aires, the whole screen in the colour of dusk
    04Now.

    One hour per page: swipe to move through the day and around the world, each hour in its own light.

  5. You: a circle of your photos, 23.0 GB kept off your iPhone, then your cities as photomosaics
    05You.

    Private. The space Glimpse has kept off your phone, and each city as a photomosaic that fills in as you go.

First launch, in three cards

What Glimpse is, how it differs from a social feed, and why the archive grows. Then straight into the archive.

Welcome card 1: map your world with the photos you never post
What this is
Welcome card 2: places, not people; no names, likes or followers
How it’s different
Welcome card 3: every street, layered in time
Why it grows

A glimpse, up close

No name and no likes: a catalogue number, the place, one line, and when and in what light it was taken. Below it, the other layers of the same place and notes from people who know it.

A glimpse of Alfama, Lisbon: catalogue number 38,214, the tram photo and its caption
The glimpse details: date, local time, golden hour light, season, rounded location, camera, then Keep, I’ve been here, Share and Map, and more layers of the place

One place, through time

Layers groups everyone’s glimpses of a place into the views people return to, then steps through each view year by year.

Layers: the view over the rooftops of Alfama at dawn in 2023
2023
Layers: the same view on a morning in 2026
2026

A map and a dictionary

Your world fills in year by year, then spreads across the map. Each city is defined by the words people attach to it.

Lisbon city page: a photo of the city, then the words people use for it, ranked

A camera that files by place

It shoots like the iPhone camera, but each photo goes onto the street where you took it, not into the camera roll. AI rates every shot as it lands: high-quality photos you allow to be shared go into Everyone’s world, and the rest stay private on your map.

The first time the camera opens: your camera, now a map. Same camera, kept off your iPhone, found by place, looks
First time
Looks: Natural, Chrome, Slide, Negative, Warm and True Color, with Chrome picked
Capture
Right after a shot: the photo is rated 94, in focus, well lit, a real photo and new to your map, so it goes public to the archive; placed on Rua das Escolas Gerais, 4 MB kept off your iPhone
Rating

Reasons to keep looking

One small thing to notice each day, the same in every city, with no winners. And a private mosaic for each city: every glimpse you take or keep there becomes a tile of its picture.

Today’s observation, After rain: three glimpses so far
Today’s observation
Your Lisbon mosaic so far: the rooftops down to the river, level 3, partly filled in
Your mosaic, so far
Your Lisbon mosaic, previewed finished
Previewed finished

Explorations

  • Earlier Now: every glimpse taken at 9 pm local time, in any city
    Current Now: one hour per page, here 8 pm in Rio de Janeiro and Buenos Aires
    Now.

    From every photo taken at 9 pm, anywhere, to one page per hour, in the cities where it’s that hour right now.

  • Earlier Layers: one large photo with a layer count
    Current Layers: views of Alfama, then the years
    Layers.

    From one large photo and a layer count to the views people return to, year by year.

  • Earlier Capture: a form to keep a photo you’d never post
    Current Capture: the Glimpse camera
    Capture.

    From a form that still felt like posting to a camera: the photo is on your map the moment you take it.

  • Hour Light at night, 9:34 pm: the feed in the colour of the hour
    Hour Light: your world at dusk, 6:40 pm
    Hour Light.

    An alternative style in progress: the whole interface takes the colour of your local hour.

Next Steps

  1. 01Measure people vs. places.

    A survey to put a real number on how often people revisit photos of places compared with photos of people.

  2. 02Build the real camera.

    The camera runs on sample scenes for now. Next is a native camera and a real cloud library, so the space it saves is measured, not estimated.

  3. 03Test and moderate.

    Usability tests with real users, and server-side image moderation before the archive opens to everyone.

Sources.

  1. PetaPixel, reporting Photutorial (2025). The number of photos taken in 2025 is expected to exceed two trillion.
  2. Popsa / Censuswide (2026). The Memory Economy report, 8,000 people in the US, UK, France and Germany.
  3. Shutterfly / Edelman Berland (2014). Americans are taking more photos but failing to share memories, 1,169 US adults.
  4. Pew Research Center (2018). Teens’ social media habits and experiences, 743 teens.
  5. mail.com / Opinion Matters (2017). American online users struggle with handling their digital photos.
  6. Avast (2019). Snap-happy smartphone generation loses 20% of phone memory to terrible pictures.
  7. Whittaker, Bergman & Clough (2010). Easy on that trigger dad: a study of long term family photo retrieval. Personal and Ubiquitous Computing.
  8. Henkel (2013). Point-and-shoot memories: the photo-taking impairment effect. Psychological Science.
  9. Barasch, Zauberman & Diehl (2018). How the intention to share can undermine enjoyment. Journal of Consumer Research.
  10. Bakhshi, Shamma & Gilbert (2014). Faces engage us: photos with faces attract more likes and comments on Instagram. CHI 2014.
  11. Isola, Xiao, Torralba & Oliva (2011). What makes an image memorable? CVPR 2011.
  12. r/OldPhotosInRealLife community statistics (GummySearch).