MindReader v1

congrats on the launch! super interesting ideas. I wonder what you use as a proxy for attention. Do users need to give inputs or do you estimate where the users might be focusing on based on moment-to-moment 'salience'?

This is what engineers must feel like when I show them my code. Essentially, you’ve created a visualization based on averaged fMRI data to help people conceptualize what brain areas are related to certain tasks and domains?

This is weird in the best Product Hunt way. Simulated mind reading for UX feels half research lab, half startup fever dream.

Hey Product Hunt community! 👋Thrilled to see this first launch from the Cassini Research collective hitting the top 10 (#9 right now! 🚀).MindReader V1 is the result of deep research and countless hours collaborating with sales teams to solve real workflow bottlenecks. The best part? It’s already driving impact. We're currently being integrated into the evaluation pipelines of a marketing team and a YC-backed sales AI agent.Huge shoutout to @ishita8088 for building something users are clearly loving. As a co-maker, I’d love to get your thoughts - where would you like to use it in your product or agent pipeline?

@ishita8088 Hi, Tried the product at the trial setup page and honestly the experience felt like stepping into a neuroscience lab 😄 The visualizations are fascinating and definitely spark curiosity. At the same time, I found myself wondering how much of the report reflects real cognitive signals versus an interpretive model. Either way, it's a very memorable experience and a fresh way to think about message analysis.

One concern I have is overinterpretation. users might treat simulated neural outputs as scientific truth, so clear framing and limitations will be important.

the ositioning is bold, but also risky. When terms like “read minds” are used, expectations can easily go far beyond what simulated neuro-data can realistically provide.

Simulating how a brain reacts to content is a fascinating concept, and love that it's open source. How accurate are the neuro-metrics compared to real fMRI studies?

Very interesting, and great that it's open source. But I'm not sure I understand it correctly. So the goal is to determine how a demographic will respond to certain sales call scripts or ad creatives?

@jas_jaski @ishita8088 Bold vision here. The open-source angle makes it even more exciting for people who love tinkering and experimenting.

Hello PH!

Introduction: MindReader simulates, second by second how a brain responds to any content
Explanation: It feeds TRIBEv2 data into an insights miner that is run by a neuro-analyst agent. 7-dimensions are explored. Attention (for eg) is based on Dr. Falks' research work etc.
Inspiration: How do you feel? EQ in AI
Evolution: initalyy started as brainDiff (focused on A vs B results for each 'similar content' to battle absence of baselines) - ended up normalizing output scores using basic stats.

CTA: Run you latest social media post through the platform - https://mindreaderai.vercel.app/
(self-host available)