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PROJECT 002 / SHINYHUNTERPRIVATE EXPERIMENT

ShinyHunter

A good hunt
leaves a trail.

For rare stationery, elusive editions, and the things that keep finding their way back onto the wishlist.

Follow the hunt
FIELD COLLECTION / 002ShinyHunter’s actual interface showing the PAN AM Passport pencil-board hunt
THE SEARCH IS PART OF IT.SH / 002

THE SMALL OBSESSION

“I saw one somewhere”
deserves a better system.

Collecting has a research problem. The name changes between marketplaces. A regular-size board looks almost like the Passport edition. A promising listing turns out to have sold months ago.

ShinyHunter gives that search a place to live: the exact object, the possible matches, the prices, and the evidence behind each one.

HOW A HUNT COMES TOGETHER

From “that one”
to the right one.

  1. 01 / DEFINE

    Know the object.

    Pin down the model, variant, size, and identifying details. Similar is a lead; exact is the goal.

  2. 02 / LOOK

    Follow the leads.

    Collect marketplace listings and research. External watches can bring new observations back into the dashboard.

  3. 03 / VERIFY

    Keep the evidence.

    Track source links, condition, availability, and what was actually checked.

  4. 04 / COMPARE

    See the whole price.

    Compare item price, shipping, and fees. Unknown costs stay visibly incomplete.

A LOOK INSIDE

The object.
The leads. The little details.

Two hunts from the actual dashboard: a PAN AM pencil board and a Field Notes edition. Open either view at full size to look closer.

Full size ↗
Actual ShinyHunter PAN AM collectible dashboard
PAN AM Passport board · identity, watch history, and source listings.

A HUNT HAS A HISTORY

Finding it is
only one moment.

A lead can appear, get checked, slip away, or finally join the collection. The status keeps that story legible.

HUNT STATUS / FIELD NOTES
Hunting

The search is open. The exact object is still out there.

THE INTERESTING BIT

A place for
the evidence.

01

Research and record-keeping have different jobs.

Agents can search and verify sources. A strict importer checks the resulting observations before they become dashboard data.

02

An error doesn’t erase the last good find.

Failed research runs retain their own status while the previous useful results remain available.

03

A sold listing still has a story.

Historical listings can help explain identity and pricing. They’re kept separate from things that might still be available.

ON THE WORKBENCH

A private collecting experiment built with React and TypeScript, with a separate research-and-import pipeline. The screenshots are captured research snapshots, rather than live inventory.

ANOTHER THREAD TO FOLLOWThreatWeaver