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11,067 products · 19,805 snapshots
Fred

Fred

AI-orchestrated UX research with behavioural tracking

Launched 2mo agoProduct Hunt Website
Votes
100
Comments
5

What this means

+80%Launching in a 80% WoW growing category.
User Experience had 9 launches this week vs 5 last.
60%Strong buyer-intent signal in the comments.
60% of commenters sound like potential buyers — mostly founders.
70%Comment sentiment overwhelmingly positive.
Audience strongly receptive — founders engaged.
Users are asking for override AI interpretations + long session tracking accuracy.
Feature requests surfaced from the comment thread.

Prediction

Top-5 finish probability
26%
today
Projected end-of-day votes
100range 75–135
Trajectory
stable
Vote pace holding steady.

About

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.

AI Summary

Fred is an AI-driven platform that streamlines UX research by integrating study planning, participant management, testing, and analysis into a single workflow. The latest features include real-time eye tracking, gaze heatmaps, and enhanced analytical tools to provide faster insights while maintaining methodological rigor.

Vote & comment velocity

Scores

Velocity5.9
Vote pace vs avg
Momentum5.9
Sustained over 6h
Virality7.7
Spread × engagement
Engagement10.0
Comments per vote

Founders

Imre Guaglianone
@imre_gi · hunter

Topics

Artificial IntelligenceProductivityUser Experience

Comment Intelligence· 3 comments analysed

Sentiment

Positive70%
Neutral20%
Negative10%
Buyer intent
60%
of commenters sound like potential buyers
Audience
founders
Sentiment over 51 days
Positive
Negative
Buyer intent
+20%
Overall vibe

Overall, commenters are optimistic about Fred's capabilities but seek clarity on AI accuracy and user control.

Top themes
  • AI integration
  • behavioral tracking
  • UX research
Feature requests
  • override AI interpretations
  • long session tracking accuracy
Complaints
  • AI misinterpretation concerns

Top comments

[REDACTED]
↑ 1

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.

[REDACTED]
↑ 1

<p>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?</p>

[REDACTED]
↑ 1

<blockquote><p>Behavioral UX + AI orchestration is such an underrated combo. Curious how accurate the intent tracking gets over longer sessions.</p></blockquote><p></p>

Sentiment computed via openai