URLcut.ai
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URLcut.ai is an AI-powered URL shortener for campaign link management and analytics. It groups links by client, brand and campaign, reports results per channel, and separates real human clicks from bots and link-preview fetches.
Paste a URL and URLcut suggests readable, on-brand slugs from the page content instead of random strings. You can edit the slug after creating and change where a short link points at any time, so a printed QR code or a live campaign link never has to be recreated.
The Agency plan adds team workspaces. Links belong to the workspace rather than to whoever created them, so nothing is orphaned when someone leaves. Roles are Read, Write and Admin, access can be scoped to a single client, brand or campaign, and reporting rolls up across every client.
Key features: - AI slug suggestions generated from your page content - Client, brand and campaign folders with per-channel reporting - Team workspaces with Read, Write and Admin roles, scoped per client - Roll-up reporting across every client and brand - Branded links on your own custom domain, avoiding shared-domain spam flags - Human-vs-bot click filtering, so your numbers reflect real people - City and region geo, device, and referrer analytics - QR codes for every link, with editable destinations - Editable slugs, password protection, link scheduling - UTM parameter builder with saved templates - Links and QR codes never expire
Pricing: - Free: 10 links/month, click analytics, QR codes, no credit card - Basic ($4/month): 50 links/month, 60-day retention, CSV export, one branded subdomain - Pro ($12/month early adopter, normally $25): unlimited links, custom domains, custom QR codes, no interstitial - Agency ($79/month early adopter, normally $129): everything in Pro, plus 5 team seats, roles, multi-client folders and roll-up reporting
URLcut.ai PythonAnywherePythonAnywhere is especially recommended for Python developers (beginners and intermediates), educators, students, and hobbyists who are looking for an easy and quick way to deploy and host their Python applications or who need an online python environment for coding practice.
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URLcut.ai's answer
Launched November 2025, so this is an early-stage user base rather than a logo list, and naming individual customers is not something to do without asking them.
The recurring shapes are agencies and freelancers running links for several clients, in-house marketers publishing across multiple channels, and founders running product launches.
URLcut.ai's answer
The API and web app are built on .NET and Blazor Server, with PostgreSQL for storage and Redis caching to keep redirects fast. AI slug suggestions use Anthropic's Claude with a custom page-parsing pipeline. Hosted in the EU.
URLcut.ai's answer
URLcut started as an answer to a narrow problem: creating a decent short link meant thinking one up by hand every time, and the fallback was a random string that looks like spam and tends to get treated like it.
The first version solved that. Read the page, suggest a slug. What became clear afterwards was that naming was the small problem. The larger one is that a flat list of links cannot tell you which campaign, which channel or which client produced a result, and that most click counts include a good deal of bot and preview traffic.
So the product became campaign link management with the shortener underneath it: folders by client, brand and campaign, per-channel reporting, bot filtering, and team access scoped per client. Built in 2025 and still run by its founder.
URLcut.ai's answer
Teams and individuals running campaigns where the same link needs to be branded, tracked and reported on afterwards.
The clearest fit is anyone handling several clients or brands at once, where links have to stay separated and each client needs its own report. That is what the Client/Brand/Campaign structure and the Agency plan's scoped access exist for.
Beyond that, anyone publishing across more than one channel who needs to know which channel produced the clicks, and who wants a branded domain rather than a shared one that can carry other people's spam history.
URLcut.ai's answer
Structure, honest numbers, and flat pricing.
Most short links end up in one long list, and the work of turning that into a report is manual. URLcut groups links by client, brand and campaign at creation, so per-channel and per-client reporting is already there.
Click counts are filtered for bots and link-preview fetches by default, which usually makes the reported number lower and the decisions better.
Pricing is flat and published, with no per-click charges, no expiring links, and no enterprise tier to negotiate. Custom domains are included on Pro rather than reserved for a sales call.
URLcut.ai's answer
URLcut reads the page you are shortening and suggests a readable slug from its content, so links come out as urlcut.ai/ai-marketing-guide rather than a random string. That happens in seconds, and you can edit the slug afterwards.
The second thing is structure. Links live in Client, Brand and Campaign folders rather than one flat list, reporting rolls up across every client and brand, and human clicks are separated from bots and link-preview fetches so the numbers describe real people.
The Agency plan puts that on a team: 5 seats, Read/Write/Admin roles, and access that can be scoped to a single client without exposing the rest of the account.
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