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/
11,067 products · 19,805 snapshots
moop

moop

The social network of taste.

Launched 2mo agoProduct Hunt Website
Votes
79
Comments
5

What this means

-50%Category cooling: Books.
Launches down 50% week-over-week.
60%Strong buyer-intent signal in the comments.
60% of commenters sound like potential buyers — mostly consumers.
70%Comment sentiment overwhelmingly positive.
Audience strongly receptive — consumers engaged.
Users are asking for hyper-local content + external links.
Feature requests surfaced from the comment thread.
Recurring concerns: lack of media, niche appeal.
Pain points mentioned more than once in comments.

Prediction

Top-5 finish probability
21%
today
Projected end-of-day votes
79range 59–107
Trajectory
stable
Not enough snapshots yet to detect trajectory.

About

Social media without media. Moop is a social network designed to spark inspiration and combat brainrotting. List the things you're into — places, books, ideas, the small moments worth saving.

AI Summary

Moop is a social network focused on sharing personal interests and inspirations without traditional media content. Users can curate lists of their favorite places, books, and ideas to foster meaningful connections.

Vote & comment velocity

Scores

Velocity0.0
Vote pace vs avg
Momentum0.0
Sustained over 6h
Virality0.0
Spread × engagement
Engagement12.7
Comments per vote

Founders

Joseph Fattal
@joseph_fattal · hunter

Topics

Social MediaAlphaBooks

Comment Intelligence· 14 comments analysed

Sentiment

Positive70%
Neutral20%
Negative10%
Buyer intent
60%
of commenters sound like potential buyers
Audience
consumers
Sentiment over 54 days
Positive
Negative
Buyer intent
Overall vibe

Overall, commenters appreciate the unique concept of moop but express concerns about its long-term engagement potential.

Top themes
  • minimalism
  • list-making
  • social discovery
  • taste curation
Feature requests
  • hyper-local content
  • external links
  • more categories
  • user engagement metrics
Complaints
  • lack of media
  • niche appeal
  • uncertainty about engagement

Top comments

[REDACTED]
↑ 9

Hey Product Hunt 👋 We built moop because social media has become visual, loud, and a honeypot for brainrotting. Meanwhile, the internet’s best culture still lives and dies through lists. Best movies. Worst first-date spots. Books that changed your brain. Restaurants you’d gatekeep. Things you’d die defending. moop is a text-only social network for lists. You can create lists about anything, follow people for their taste, jump to new lists through shared elements, and remix lists into your own version. The idea is simple: instead of a social graph based on likes and clicks, moop creates a the network effect through genuine taste and creativity. We’d love feedback on three things: 1. Does the item-to-other-lists discovery loop feel intuitive? 2. What list categories would you want to see more of? 3. Does moop feel more like a social network, a discovery tool, or something else? Thanks for checking it out! We’ll be here all day responding to comments.

[REDACTED]
↑ 3

<p>Text-only lists? Into it. I already stash movie recs + food spots in Notes, so this clicks. The item-&gt;other lists hop made sense after a minute. Feels more discovery than social. Would love more hyper-local stuff (cheap eats, late-night spots) and “comfort rewatches.”</p>

[REDACTED]
↑ 3

I think that concept of taste is something more people should be engaging with. AI doesn’t have taste like a human does. So understand and refining our ‘taste’ is an important human effort. Good luck

[REDACTED]
↑ 2

<p>the brainrot framing is doing real positioning work here because it names the specific feeling the product is designed against. but i'd want to understand the mechanism. most social networks that promise to be different from doomscrolling still end up optimizing for engagement once they have users and engagement metrics tend to reward the same things everywhere. what's the specific design decision in moop that makes it structurally different rather than just aesthetically different</p>

Sentiment computed via openai