This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
LinksRF
Branded links that separate humans from bots and previews
Create branded campaign links like go.yourbrand.com/offer and understand who actually visited. LinksRF separates likely humans from bots, social previews, automated traffic, and raw requests. Build short links, boards, bio pages, and funnels; manage custom domains and teams; and review campaign analytics from one workspace. Start free, no card required.
Hey Product Hunt 👋
I'm Abhishek, the maker of LinksRF, built in Noida, India.
The idea began with a simple question:
When I share a link, who or what is actually opening it?
I wanted to know whether someone genuinely visited, where the traffic came from, which type of device was used and whether visitors returned.
But I quickly discovered that an "open" doesn't always mean a person clicked.
Messaging apps may fetch links to generate previews. Search crawlers, security scanners and other automated tools can request them too. When all this activity is presented as one click count, it becomes difficult to understand what actually happened.
That's why I started building LinksRF, not just to shorten links, but to make the traffic behind them easier to understand.
With LinksRF, you can:
🔗 Create short, readable campaign links
🌐 Use branded domains such as go.yourbrand.com/offer
🧠 Distinguish likely human activity from social previews, bots and automation
📊 Explore sources, device families, approximate locations and traffic-quality evidence
📚 Build shareable boards and resource hubs
👤 Publish bio pages and focused funnels
👥 Collaborate with team members on supported plans
LinksRF is not designed to reveal a visitor's personal identity, and it doesn't claim that every request can be classified with perfect certainty. It uses available request and browser-engagement signals to estimate whether activity was likely human, automated, suspicious or simply a platform generating a preview.
The goal is simple: when you share a link, you should receive more useful context than one unexplained click count.
This is the first public launch of LinksRF, and I'd genuinely value your feedback:
1. Is the difference between raw requests and likely human activity clear?
2. Which insights matter most when you share a link?
3. What would LinksRF need before you considered switching from your current link tool?
You can start free, no card required.
Thank you for checking out LinksRF. I'll be here throughout the launch to answer questions and learn from your feedback. 🙏
finally a link shortener that actually filters out the bot noise from analytics, that alone is worth the switch
honestly the bot filtering is what caught my eye, but it would be super useful if you could export those analytics as a csv or push them to google sheets. right now i can see the split in the dashboard, but i need to combine it with my own ad spend data to figure out what is actually working. a simple zapier hook or a scheduled email report would save me a ton of manual copy pasting.
Congrats on the launch, Abhishek. The thing I like most is how honest the framing is — "likely human" instead of promising perfect certainty. Most link tools would have oversold that. On the content side we hit the same mess in analytics: preview fetches and bots inflate the numbers and you can't really tell what landed. Curious how you handle a messaging app that fetches the same link a few times for a preview — does that get filtered, or counted as separate opens?
About LinksRF on Product Hunt
“Branded links that separate humans from bots and previews”
LinksRF was submitted on Product Hunt and earned 9 upvotes and 7 comments, placing #72 on the daily leaderboard. Create branded campaign links like go.yourbrand.com/offer and understand who actually visited. LinksRF separates likely humans from bots, social previews, automated traffic, and raw requests. Build short links, boards, bio pages, and funnels; manage custom domains and teams; and review campaign analytics from one workspace. Start free, no card required.
LinksRF was featured in Analytics (173.2k followers), Marketing (467k followers) and SaaS (43.6k followers) on Product Hunt. Together, these topics include over 147.4k products, making this a competitive space to launch in.
Who hunted LinksRF?
LinksRF was hunted by Abhishek Chauhan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how LinksRF stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Abhishek Chauhan