
uberflip
CoSchedule
Rocketium
Storify
Promo.com
VigLink
Typito
Embedly helps publishers and consumers manage embed codes from websites and APIs.

NestPact
MaxCut
1D profile Nest
Quote and Cut
CutList Optimizer
OPTIMIK
Cutlist Plus
Upload DXF files and generate optimized sheet layouts in your browser. No installation or CAD license. Also includes a laser cutting cost calculator — one plan for both.

Which is more popular?
Based on our record, Embedly seems to be more popular. It has been mentioned 13 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | embed.ly | sheet2nest.com |
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What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Tips On Embedding In Blogs And Websites Using Embedly
No Sheet2Nest videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Embedly and Sheet2Nest.
Sheet2Nest's answer:
Sheet2Nest is unique because it is a fully browser-based DXF nesting and sheet optimization system that removes the need for heavy CAD/CAM installations. It focuses on instant access, automation, and simplicity while still targeting industrial fabrication workflows. Unlike traditional systems, it runs directly in the browser, making it accessible from any device without setup, licensing complexity, or IT overhead.
Sheet2Nest's answer:
A user should choose Sheet2Nest because it offers:
No installation or setup required (works instantly in browser) Faster workflow for DXF nesting compared to legacy CAM software Lower cost compared to industrial tools like SigmaNEST or Lantek Easier learning curve for operators and small workshops Accessible anywhere (office, factory floor, or remote) Designed for quick quoting and production decisions, not just engineering complexity
Sheet2Nest's answer:
The primary audience includes:
Sheet metal fabrication workshops CNC laser / plasma / waterjet operators Manufacturing estimators and quotation teams Small to mid-size fabrication businesses Job shops handling custom cutting orders Engineers working with DXF-based production files
Secondary audience:
Freelancers and design engineers needing quick nesting validation SMEs trying to reduce material waste and improve costing accuracy
Sheet2Nest's answer:
Sheet2Nest was created from a real-world fabrication problem: existing nesting software is powerful but too complex, expensive, and slow for everyday shop use.
In many workshops, operators rely on either:
overpriced enterprise CAM systems, or free tools that lack production-level accuracy
Sheet2Nest was designed to bridge that gap by bringing:
cloud accessibility automation in nesting logic simplified cost estimation instant DXF-based workflows
The core idea is to make industrial nesting as simple as opening a browser tab.
Sheet2Nest's answer:
Typical core technologies for a system like Sheet2Nest include:
Frontend: React / Next.js (browser-based UI) Backend: Node.js or Python (API + processing logic) Geometry engine: Computational geometry libraries (polygon operations, nesting algorithms) DXF parsing: libraries like dxf-parser or custom CAD parsers Nesting algorithm: heuristic / genetic algorithm / bin-packing optimization models Database: PostgreSQL or MongoDB (jobs, users, files) Cloud infrastructure: AWS / GCP for scalable processing File handling: Web-based file processing + optional worker queues (Redis / BullMQ)
Sheet2Nest's answer:
Sheet metal fabrication companies CNC laser cutting workshops Industrial kitchen equipment manufacturers HVAC ducting fabrication businesses Automotive parts suppliers Job shops handling custom steel cutting Construction metal fabrication contractors
Share your experience with using Embedly and Sheet2Nest. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


You can see what kinds of properties you can see for media - I fed the URL of a video into embed.ly as that document suggested, but none of the fields returned gave me a video length... You may want to try with one of the images posted... Source: almost 3 years ago
Some people report success with getting approved by https://embed.ly/, others report that service never responded to them. Source: over 3 years ago
Embed.ly — Provides APIs for embedding media in a webpage, responsive image scaling, extracting elements from a webpage. Free for up to 5,000 URLs/month at 15 requests/second. - Source: dev.to / almost 4 years ago
Tracking Sheet2Nest since Jun 2026.
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