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.
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)
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.
About MindReader v1 on Product Hunt
“Read minds (simulated fMRI data, channeled to neuro-metrics)”
MindReader v1 launched on Product Hunt on June 16th, 2026 and earned 101 upvotes and 15 comments, placing #10 on the daily leaderboard. 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.
MindReader v1 was featured in Open Source (68.5k followers), User Experience (366k followers), Artificial Intelligence (471.1k followers), GitHub (41.3k followers) and Vercel Day (19 followers) on Product Hunt. Together, these topics include over 167.9k products, making this a competitive space to launch in.
Who hunted MindReader v1?
MindReader v1 was hunted by Zac Zuo. 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 MindReader v1 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo