
Midjourney
Leonardo.Ai
Ideogram
Craiyon
Canva
ChatGPT
KLING AI
Creating images from text, from Open AI

Linktree
Linkin.bio by Later
Bio Link
Beacons
Onepage
Bitly
Bitly Link-in-bio
Short links, QR codes, Bio pages, booking and websites — Find@ is your all-in-one link platform used by creators and businesses worldwide. You own your audience data. Track clicks in real time. Free to start. — FIND@.
Which is more popular?
Based on our record, DALL-E seems to be more popular. It has been mentioned 199 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | openai.com | find.at |
| Pricing | — | |
| Company | Startup from the United States | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of DALL-E yet.
Find@ is a digital identity platform combining Short links, QR codes, Bio pages, booking, websites and analytics — built for creators, athletes, and businesses.
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
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.
A GPT-3 for Images? Dall-E is the most impressive AI ever created!
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing DALL-E and FIND@.
FIND@'s answer:
Find@ combines bio pages, branded short links, dynamic QR codes, and analytics into a single digital identity platform. Unlike basic link-in-bio tools, Find@ is built as identity infrastructure — with a developer API, verification system, and canonical routing logic that gives users permanent ownership over their name, traffic, and audience.
FIND@'s answer:
Find@ is not a landing page builder — it is a routing and identity ownership layer. It offers per-link analytics, geo and device targeting, custom domains, a public API, and a verification system in one platform. Users who need more than a styled list of links choose Find@ because it treats digital identity as infrastructure, not decoration.
FIND@'s answer:
Creators, athletes, agencies, and businesses who want permanent control over their online identity and audience routing — independent of any single social platform. Find@ is used by individuals managing personal brands and by teams managing multiple client presences.
FIND@'s answer:
Find@ was built as part of XZ Global, a vertically integrated digital ecosystem. The core idea: social platforms own the audience relationship, and creators needed a neutral layer they actually control. Find@ launched as that layer — combining identity, routing, and analytics into one owned infrastructure point.
FIND@'s answer:
Find@ runs on a custom SaaS stack hosted on XZG Cloud infrastructure.
FIND@'s answer:
Share your experience with using DALL-E and FIND@. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


With DALL-E 3, the pricing is straightforward. For $15, you receive 115 credits, each allowing you to generate one image prompt. Each prompt delivers four images, breaking down the cost to roughly 3 cents per image....
Using advanced algorithms, DALL-E 2 predicts and extends your image to build an entire scene that seamlessly matches your original image. This innovative feature gives you the complete creative freedom to edit your AI...
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Recommendations tracked on public social media and blogs since March 2021.


Look, not to brag but DALL-E's "armchair in the shape of an avocado" was mine (https://openai.com/index/dall-e/). I remember trying to convey the gravity of this capability to my friends at the time, who I guess were not as impressed as me. - Source: Hacker News / 4 months ago
Look, not to brag but DALL-E's "armchair in the shape of an avocado" was mine (https://openai.com/index/dall-e/). - Source: Hacker News / 4 months ago
OpenAI's livestream of GPT-4o Image Generation shows that it is slowwwwwwwwww (maybe 30 seconds per image, which Sam Altman had to spin "it's slow but the generated images are worth it"). Instead of using a diffusion approach, it appears... - Source: Hacker News / over 1 year ago
Tracking FIND@ since Apr 2026.
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Add one link in your Instagram bio—drive traffic anywhere.
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Experience the magic of turning a text description into beautiful images in a matter of seconds. Ideogram works directly in your browser without needing to download any application or software.
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