Launched this week
MindReader v1
Read minds (simulated fMRI data, channeled to neuro-metrics)
191 followers
Read minds (simulated fMRI data, channeled to neuro-metrics)
191 followers
How do you feel? It is the oldest question in art and the newest one we can answer in technology. MindReader takes your content and simulates, region by region, how a brain responds to it. Completely Open Source - we encourage you to tinker. Exploring sales evals, neural evals for datasets and other esoteric product experiments w/ madhat founders. MindReader is built on Meta FAIR's TRIBE v2 + 35yrs of neuro research. Inviting collab from the academics et all.
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.
@simran_kumar A suggestion from my side would be to include benchmark comparisons against more standard UX testing tools so people understand where this fits in the stack.
MindReader v1
@simran_kumar we resonate! Hence we also decided to open-source the product and research.
MindReader predicts what an average brain response would look like - specifically the blood flow. https://mindreaderai.vercel.app/methodology details out everything that goes behind making Mindreader's science backed magic.
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?
MindReader v1
@jn263 the surface area for the product is much wider.
it is useful in anything that benefits from a proxy of human reaction to it.
we have already discussed sales calls coaching as a use case; content / marketing / ads would work in a similar way
some other use cases
neural tags for datasets (many YC audio start-ups (like usepanels.com) are selling expressive data, they can attach this as an objective measure of emotion). (would love for @garrytan to weigh in)
call centres for distress calls can use it to train their agents even better
there are also darker use cases: like reverse engineering a "calm video" to hit certain neural-metrics - which is why we have chosen to stay completely open source and are building on the frontier
Juno
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?
MindReader v1
@jas_jaski thank you for getting this mad-lab going. I'm excited to contribute to more open source stuff at Cassini Research .
Also again shoutout to the village that supported MindReader on our journey. We are keenly looking to working with academic folks, voice and sales founders / operators - actually all curious folks are welcome.
Open areas of conversation / areas we are keen to explore further:
neural-tags for dataset (voice in particular)
evals
content / sales / coaching
d: <enter your answer>
@jas_jaski @ishita8088 Bold vision here. The open-source angle makes it even more exciting for people who love tinkering and experimenting.
MindReader v1
@jas_jaski @dipanshu_kushwaha5 Thank you for checking out the product! We believe that the trust surface here has to be large.
The only way to make people believe that we can 'read minds' is by keeping our methodology and research out in the open. Looking forward to making the product even more robust.
memi
This is weird in the best Product Hunt way. Simulated mind reading for UX feels half research lab, half startup fever dream.