
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@.

TRASH: Vibe Check
VibeScan
Turn an AI-built repo into a production-ready launch checklist.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | find.at | viberaven.dev |
| Pricing | ||
| Company | 2026 | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Find@ is a digital identity platform combining Short links, QR codes, Bio pages, booking, websites and analytics — built for creators, athletes, and businesses.
VibeRaven helps builders check whether AI-built apps are ready for production before launch. It reviews the repo evidence around auth, payments, environment variables, deployment, database rules, webhooks, error monitoring, and common “works locally but breaks in production” risks, then turns the...
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 FIND@ and VibeRaven.dev.
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.
VibeRaven.dev's answer:
VibeRaven is built for the moment after an AI-built app “works” but before you trust it with real users. Most tools review code quality or monitor errors after launch. VibeRaven looks for launch gaps before launch: missing env vars, weak auth assumptions, webhook problems, RLS issues, deployment risks, and the boring production stuff AI builders often skip.
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.
VibeRaven.dev's answer:
Choose VibeRaven if you are not looking for another generic code review. It is more focused: “Can I ship this AI-built app without obvious production mistakes?” The output is a short checklist and a fix prompt, so you can go straight back to your coding agent and clean up the highest-risk gaps.
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.
VibeRaven.dev's answer:
Solo founders, indie hackers, and small teams building apps with Cursor, Claude Code, Codex, Lovable, Bolt, Replit, or similar AI coding tools. It is especially useful when the app is close to launch and the builder needs a second pass on production readiness.
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.
VibeRaven.dev's answer:
VibeRaven came from a simple problem: AI makes it much faster to build an app, but it also makes it easier to miss production details. The app can look finished while auth, billing, deployment, webhooks, or database rules are still fragile. I wanted a tool that checks those gaps before users find them.
FIND@'s answer
Find@ runs on a custom SaaS stack hosted on XZG Cloud infrastructure.
FIND@'s answer
Share your experience with using FIND@ and VibeRaven.dev. For example, how are they different and which one is better?
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