Launching today
LnkFlow
Agentic click tracking that shows what grows your business
154 followers
Agentic click tracking that shows what grows your business
154 followers
See which campaigns, channels, and collabs make you money! With reliable, server-side click tracking that counts the visits, ad blockers hide. Turn any URL into a short, branded link tagged by campaign, channel, or creator. Rank creators and platforms by who actually drove clicks, with bots filtered out by default. And it's fully agentic-ready: your AI assistant can create links, tag them, and pull reports in plain language — no dashboard required. Clean links in, clear answers out.
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Hey everybody,
My name is Asaf, and I have been an entrepreneur since I was 17 years old (or since I was born, depending on how you look at it 😄).
After several startups and many failures and lessons along the way, I had my first exit at 27 as the CTO of a Fintech company I co-founded with two partners.
After the exit, I decided to change directions and go towards what I love - creating productivity tools and automations, and naturally, I found myself in the Mac app world.
Today, my company AppitStudio owns 4 macOS apps, serving more than 3,000 users worldwide, and once again, I ran into the same problem I had with my past projects… I can't figure out which distribution channels, platforms, or collaborations ACTUALLY work for my business…
I partnered with several content creators, including some big names with millions of followers and smaller ones with 10k to 500k followers…
The problem was that, except for the timing of the video's appearance, the statistics were completely unreliable.
The existing solutions that I found were too broad and aimed at enterprises.
From a general URL shortener without influencer tracking, to a big influencer agency management tool.
I didn't find a balanced tool that will provide me with both branded links and a good influencer management platform.
So I decided to solve that issue by creating a tool that will do exactly that.
Full link tracking, clicks, and statistics on the server side, not on the client side, where ad blockers filter data, with a full influencer management tool that allowed us to find the real cooperations that worked.
Meet LnkFlow - the solution that helps me, and is going to help you scale your business by actually understanding what brings in the money.
Using LnkFlow, I immediately understood what my money bought…
For example, big follower bases actually brought in a bunch of bot traffic, and of the 3 small content creators I collaborated with, one was responsible for 85% (!) of the clicks on my websites. I immediately stopped working with the other two and doubled down on the one that worked, and the results were amazing.
Of course, I had to make it fully agentic-ready. I am a big believer in automating manual processes.
This is especially important for solopreneurs and small teams, where time and focus are everything.
We already have a beta version of the platform that tracks the full cycle from click to sale. We are using it internally for our company and a few design partners, and I can say this is gold.
If you relate to the problem I had, check out LnkFlow. I decided to run a promotion with a big discount for early adopters, and that price will stay for every renewal, for a lifetime.
the tension I'd want answered before switching is that "counts what ad blockers hide" and "filters out bots by default" pull in opposite directions - one undercounts, the other risks overcounting if the bot filter is too conservative. how do you validate the bot-filtering, is it just user-agent/IP heuristics or something closer to behavioral scoring?
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@galdayan
First, thank you for your interest in our product 🙏
We capture every redirect server-side, then filter using multiple signals:
known crawler/preview user agents, request headers, network patterns, and click velocity.
It’s currently transparent rule-based detection, not ML behavioral scoring.
Flagged traffic is retained with the reason, so you can include it and compare rather than losing it entirely.
If you have any more questions, feel free to ask 🙂
@appit_studio that's a solid tradeoff - rule-based signals that stay auditable beat a black-box score I can't debug when something looks off. keeping flagged traffic instead of dropping it is the right call too, means I can spot-check the classifier's mistakes myself. curious if you'll ever expose that flagged bucket in the dashboard or if it stays backend-only for now.
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@galdayan Right now, the flagged bot bucket is stored and available via the API, but it isn’t yet exposed in the customer dashboard.
We might add it based on users' requests 😄
@appit_studio makes sense as a v1 scope, API-only is fine for anyone who wants to build their own view on top of it. I'd count myself as one of the "users requesting it" if the dashboard version ever ships. good luck with the launch.
Congrats on the launch, Asaf. The AI-assistant flow for creating links without touching the dashboard is a nice shortcut - when it authenticates, does it get scoped access to just that user's own links and campaigns, or a broader key that covers the whole workspace?
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@vollos Thank you!
You can choose in the MCP setup what you prefer,
And you can use a read-only connection if you like.
Congratulations on the launch! Counting on your own server before the redirect is a smart way past ad blockers, but it's also where bots and the link-preview crawlers from places like LinkedIn and Facebook tend to pad the count. The launch says bot filtering is on by default; how do you separate real clicks from those? That's usually the hard part with server-side counting.
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@alieksia Thank you!
We capture every redirect server-side, then filter using multiple signals:
known crawler/preview user agents, request headers, network patterns, and click velocity.
It’s currently transparent rule-based detection, not ML behavioral scoring.
Flagged traffic is retained with the reason, so you can include it and compare rather than losing it entirely.
Congrats on the launch! I love the idea of attribution in this space. What makes it "agentic" in practice — does it act on the data for you or surface recommendations?
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@andrew_lukas Thank you!
The platform is fully MCP-ready with our own custom skills that will help you set up, manage, and learn about your links' performance directly in your preferred AI agent.
We also have some internal skills that we are testing to provide recommendations and evaluations of your current marketing state.
the bot filtering baked in by default is a smart call. so many short link tools still treat every click as a person, which makes the reporting basically useless for anyone paying creators.
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@cennetvusa Thank you!
This, together with our conversion feature (now in beta), will provide a full picture for the marketing team, removing all the noise.
Looks like a really clean setup, especially the server-side tracking part since ad blockers basically wreck most shorteners. One thing that would help me out: a way to set up expiry rules on links, like auto-redirect after a campaign ends or push old tagged links to a fallback URL. Would save a lot of cleanup work when collabs wrap up.
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@enesdlxz Thank you!
Great suggestions.
I will add it to our roadmap.
Contact us via our support email, maybe you can be our design partner for this feature 😄