Read minds (simulated fMRI data, channeled to neuro-metrics)
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)
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 100 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.
On the analytics side, MindReader v1 competes within Open Source, User Experience, Artificial Intelligence, GitHub and Vercel Day — topics that collectively have 946.9k followers on Product Hunt. The dashboard above tracks how MindReader v1 performed against the three products that launched closest to it on the same day.
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.
For a complete overview of MindReader v1 including community comment highlights and product details, visit the product overview.
Zac Zuo