Engine Decision: We opted for Polygonal HLR over exact HLR to eliminate rendering freezes while preserving exact physical dimensions. ⚠️ v1 Scope: Currently optimized for analytic B-Rep geometry; faceted mesh fillet recovery lands next.
Try it live! 🛠️
Turning 3D CAD files into production-ready 2D drawings shouldn't take hours of manual drafting.Introducing Datum (https://t.co/hneBBLsF0y) 📐Drop a STEP file, get millimeter-accurate orthographic views, section cuts, and ISO title blocks in seconds. 🚀 #CAD#Engineering
I built an AI system that automates product video creation for entire e-commerce catalogs.
(Saves ~$30K per collection shoot and boosts on-site conversion rates by ~20%)
Here’s how the automation actually works:
→ Firecrawl scrapes product images directly from any e-commerce collection page
→ Google’s Veo 3.1 generates realistic model videos showing fit, movement, and drape
→ Each video begins and ends on the original product image for perfect looping
→ Videos are auto-named, organized, and stored in Google Drive
→ Everything runs in batch—no manual work while it processes
The result: fashion brands can showcase every SKU with video, not just hero products—and engagement jumps immediately.
Static product photos aren’t enough anymore.
Shoppers want to see how clothes move before they buy.
If you want the full blueprint, do this:
1️⃣ Like & RT this post
2️⃣ Follow me (so I can DM you)
3️⃣ Comment “FIT”
I’ll send you the full n8n workflow, all prompts, and a step-by-step setup video—for free.
No more $30K shoots.
No more guessing if your product pages convert.