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Own product2025, before CoderCondaCase study 02

What SnipeFlip does with one listing.

One listing, 5 steps, 6 exits

Choose how the listing ends

One listing, 5 steps, 6 exitsup to 2,500 operations a day

Choose an exit.

  1. 01

    Capture

    Every new listing is checked every 15 minutes.

  2. 02

    Filter

    Accessories, wanted ads, defects and anything over the limit are dropped.

    • Exit 1 of 6Step 2 of 5

      Accessory

      Accessories are neither scored nor reported.

    • Exit 2 of 6Step 2 of 5

      Wanted ad

      A wanted ad offers nothing, so there is nothing to score and nothing to report.

    • Exit 3 of 6Step 2 of 5

      Defect

      Listings offered as defective get no score and trigger no alert.

    • Exit 4 of 6Step 2 of 5

      Over the limit

      If the price is above the limit that was set, the listing is neither scored nor reported.

  3. 03

    Score

    The rest gets a score from 0 to 100 from price, condition and seller.

  4. 04

    Notify

    From the minimum score up, the alert arrives on WhatsApp.

    • Exit 5 of 6Step 4 of 5

      Below the minimum score

      Scored but not reported: the score is under the minimum score that was set.

  5. 05

    Reply

    The AI drafts the message to the seller as well.

    • Exit 6 of 6Step 5 of 5

      Match

      Above the minimum score. The alert goes out on WhatsApp and the message to the seller is already drafted.

What backs it up.

  1. 01 Measuredanyone who types the search in
  2. 02 In serviceyou, on the first call
  3. 03 Handed overthe case write-up, step by stepThis case: up to 2,500 operations a day
  4. 04 Opennobody yet

The rungs at a glance: Work

Checkable
The architecture and operations are in the write-up.
Not on this page
Revenue and user numbers.

Built and run by me.

  • Interface

    Interface: Next.js

  • Backend

    API: Node.js

  • Data model

    Data: PostgreSQL

  • Deployment and operations

    Cloud: Docker / Cloud

That includes the concept, the operation and the development since launch.

Matching services.

The other cases.

All projects

Does your case look different?

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