
AI2sql
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BlazeSQL
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Linktree
Linkin.bio by Later
Bio Link
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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?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | text2sql.ai | find.at |
| Pricing | — | |
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Text2SQL.AI 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.


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


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As answered by people managing Text2SQL.AI 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 Text2SQL.AI and FIND@. For example, how are they different and which one is better?
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