CLIENT WORK — SHIPPED
Yacht Assets Reviewer
One shared review app for 115 yacht interior assets: swipe, agree live, export the picks in one click. Built in a day.
AT A GLANCE
- STATUS
- SHIPPED
- TIMELINE
- 2025-12 — 2025-12 · 1 DAYS
- LANGUAGES
- Python / JavaScript / HTML / CSS
- CATEGORY
- CLIENT WORK
ASSETS REVIEWED
OUTCOME
All 115 assets land in one shared, image-led review pass, and approved picks export as a numbered ZIP the 3D designer can use with zero reassembly.
METRICS
M.01 — ASSETS REVIEWED
Premium assets reviewed and exported across 10 interior design categories
M.02 — PRODUCT URLS SCRAPED
Supplier product URLs collected by the scraper (91 from one supplier, 24 from the other)
M.03 — REVIEW CATEGORIES
Asset categories: tableware, seating, tables, storage, decor, plants, lighting, audio, textiles, accessories
M.04 — PYTHON SOURCE LINES
Python powering the scraper, uploader, and Flask backend
THE CASE, CHAPTER BY CHAPTER
CH.01
The problem
A team had to agree on 115 premium furnishing assets from two suppliers — over a spreadsheet of links with no images and no shared state.
Reviewers worked from URLs alone, pasted screenshots into chat, and reconciled decisions by email. Approvals collided, picks went missing, and the 3D designer reassembled the final set by hand.
CH.02
What I built
A web app where the whole team swipes through product images, approves or rejects each one, and sees everyone's decisions in real time.
No accounts, no installs, any browser. A separate scraper collected all 115 product images from both supplier sites first, so the review tool had a self-contained data layer with nothing to log into.
CH.03
How it works
Shared state lives in one Dropbox JSON file — every decision is instantly visible to everyone, with no database to run.
A Flask backend serves the catalog and generates image links on demand to avoid 115 calls at once on load. Reviewers use keyboard shortcuts or buttons; a live sidebar tracks progress and filters by category or status.
CH.04
The handoff
One click exports approved assets as a numbered ZIP plus a links manifest — ready for the designer with no manual cleanup.
Images are renamed with numeric prefixes so anyone can say "use item #7." A CSV export covers the full catalog for direct Notion import.
CH.05
Results
Built, documented, and deployed to cloud hosting in a single day — replacing hours of spreadsheet and screenshot back-and-forth.
The scraper automated all image prep, the app turned 115 assets across 10 categories into one image-led review pass, and the export hands off a clean selection with no manual cleanup. Deployed on Render.com in about 30 minutes with token-based Dropbox sign-in — no passwords stored.
THE BUILD, WEEK BY WEEK
6 COMMITS — IN 1 DAYS — AVG 6/DAY
FEATURES
| Card-swipe review interface | Reviewers approve, decline, top-rate, back, or skip each asset by keyboard or button, with live progress stats and category filters. |
|---|---|
| Shared Dropbox state | The catalog JSON lives in a Dropbox App Folder, so every reviewer's decision persists instantly and shows up in all other sessions. |
| Image scraper pipeline | A scraper pulls product images from two supplier sites, sorts them by category, and uploads the full dataset to Dropbox before review begins. |
| ZIP export | One click builds an in-memory ZIP of approved images, renamed with numeric prefixes and bundled with a category-grouped links manifest. |
| CSV / Notion export | The full catalog exports as a CSV with order, category, source, URL, status, and rating columns, ready to import straight into Notion. |
ARCHITECTURE
| scrape_yacht_assets.py | Scrapes 115 product URLs from two suppliers, downloads images into category subfolders, and produces the initial JSON catalog |
|---|---|
| upload_to_dropbox.py | Uploads the local catalog JSON and image folders to the Dropbox App Folder that the web app reads from |
| app.py | Flask backend: serves the SPA, exposes REST endpoints for catalog read/write, per-image link generation, ZIP export, CSV export, and stats |
| templates/asset_reviewer.html | Single-page frontend: card review UI, sidebar filters, stats panel, keyboard shortcut handler |
STACK
SKILLS DEMONSTRATED
Same-day delivery of a working tool · Multi-user review apps without a database · Web scraping across different site structures · Flask REST API design · Dropbox OAuth2 integration · Cloud deployment (Render.com) · Clean export and handoff pipelines · Replacing manual workflows with automation
THE CODE, MAPPED
55 NODES · 62 EDGES · 14 COMMUNITIES — EXTRACTED FROM THE CODEBASE BY TREE-SITTER