Fred now turns UX research into an AI-orchestrated workflow: plan studies, recruit and manage participants, run tests, analyze sessions, detect patterns, and build reports in one place. This launch adds full AI orchestration, real-time and replay-based eye tracking, gaze heatmaps, smarter analysis, and a broader research suite for teams that need faster evidence without losing methodological control.
Hey Product Hunt 👋
I’m Imre, founder of Fred.
We originally built Fred to solve a problem I kept seeing in UX research: teams were collecting more and more evidence, but the workflow around that evidence was fragmented. Planning lived in one tool, recruitment somewhere else, testing in another platform, analysis in spreadsheets or docs, and reporting became a slow manual process.
This second launch is a big step forward for us.
Fred now includes full AI orchestration across the research workflow. The goal is not to replace researchers, but to remove the operational drag around research so teams can move faster while keeping control over method, interpretation, and decisions.
What’s new in this launch:
• AI-orchestrated UX research workflows
• Real-time and replay-based eye tracking
• Gaze data and heatmap-ready session analysis
• Broader support for research methods
• Faster pattern detection and reporting
• A more complete workspace for research teams, product teams, and agencies
We believe UX research should be easier to run, easier to analyze, and easier to turn into decisions. Fred is our attempt to make that happen without reducing research to shallow AI summaries.
I’d love your feedback, especially on where AI should help researchers most and where it should stay out of the way.
The eye tracking plus behavioral replay angle is what separates this from tools that just analyze transcripts. The real test is where the AI draws the line between surfacing a pattern and flagging it as friction. How do researchers override or challenge those interpretations when the AI gets it wrong?
Behavioral UX + AI orchestration is such an underrated combo. Curious how accurate the intent tracking gets over longer sessions.
About Fred on Product Hunt
“AI-orchestrated UX research with behavioural tracking”
Fred launched on Product Hunt on May 25th, 2026 and earned 100 upvotes and 5 comments, placing #15 on the daily leaderboard. Fred now turns UX research into an AI-orchestrated workflow: plan studies, recruit and manage participants, run tests, analyze sessions, detect patterns, and build reports in one place. This launch adds full AI orchestration, real-time and replay-based eye tracking, gaze heatmaps, smarter analysis, and a broader research suite for teams that need faster evidence without losing methodological control.
Fred was featured in Productivity (652.4k followers), User Experience (365.5k followers) and Artificial Intelligence (469.4k followers) on Product Hunt. Together, these topics include over 261.1k products, making this a competitive space to launch in.
Who hunted Fred?
Fred was hunted by Imre Guaglianone. 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 Fred stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Imre Guaglianone