Comparica
Productivity, Design Tools, User Research, Surveys, Feed
Every day, we make decisions that depend on other people's opinions.
Which design looks better?
Which photo feels more natural?
Which name sounds stronger?
Which outfit works best?
Which idea will people actually like?
The strange part is that understanding other people's preferences is surprisingly difficult. Most of the time, we're guessing.
Sometimes we ask friends. Sometimes we look at likes, comments, trends, or reviews. But feedback is often biased, slow, or disconnected from what people would actually choose.
That led me to a simple question:
What would people really pick?
That question eventually became Comparica.
Comparica is a platform where people create visual comparisons and instantly discover what others prefer.
Users can:
Create polls
Vote on comparisons
Predict what others will choose
Earn points for accurate predictions
Discover trends and preferences
One thing that surprised me while building it is how naturally people enjoy comparing things.
Not just products or startup ideas.
People genuinely like voting on:
Outfits
Room designs
Memes
Food
Profile photos
Random internet debates
Everyday choices
It turns out comparison is one of the most natural ways we interact online.
Comparica is still in its early days, but it's finally live.
I'm especially curious whether people will use it more:
For entertainment
For decision-making
Or for understanding human behavior itself 😄
If you'd like to try it:
And if you have thoughts, feedback, or ideas, I'd genuinely love to hear them. Thanks!
18 Comments
The orange juice glass poll is a perfect example of why this is hard. You, your friends, everyone assumed it was obvious. It wasn’t. That gap between what we think people prefer and what they actually choose is where most bad product decisions live.
The interior designer use case is your clearest signal right now. Someone using it daily for real work is a completely different signal than someone playing the prediction game for fun. Worth understanding exactly what her workflow looks like before anything else.
This is an interesting take. I’ve always felt that comparison is one of the most natural things people do online, even if they don’t always admit it. Whether it’s choosing between two designs, photos, or even startup ideas, we constantly look for signals on what others prefer.
What stood out to me is the “predict what others will choose” feature. That adds a game-like layer on top of simple voting, which might be what keeps people coming back.
I’m curious though — from what you’ve seen so far, do people mainly use Comparica for fun and entertainment, or are they also using it for more practical decision-making (like design choices, branding, content, etc.)? And has anything surprised you about how accurate people are at predicting what others will pick?
Also interested in whether you see this more as a social/entertainment product or as a lightweight research tool for understanding preferences.
Hello, thank you for your response!
Yes, most people enjoy voting and seeing whether their choice matches the majority. I actually had to reduce the number of games because people were playing them instead of signing up 😄
That said, I already have two users for whom Comparica has been genuinely useful. One of them is an interior designer. Every day she faces decisions about colors, furniture, patterns, layouts, and other design choices.
I launched the app only last week, so it's still very early. My hope is that Comparica will become a place where people can quickly find out which option is preferred and, more importantly, discover what people actually choose.
The idea came from my own experience at work. Whenever we created a new mockup, we had discussions about colors, layouts, icons, and other design decisions. The problem is that we're developers, and we don't really know whether our assumptions are correct. I couldn't find a simple tool where I could quickly ask, "Hey, which one do you prefer?" I think that's a common problem. We often assume we know what others like, but in reality we're frequently wrong.
After taking the Google UX Design course, I was surprised by how many poor decisions we make simply because we assume we understand user preferences. Comparica is my attempt to reveal those assumptions and see who is actually good at predicting what people will choose.
The ranking system is an important part of that. To be honest, designing the scoring algorithm took a significant amount of time. Not all votes should be worth the same number of points. Predicting the outcome of an obvious poll should not be rewarded the same way as correctly predicting a difficult or unexpected one.
So far, I don't think anyone has achieved a 100% score in all polls. For example, I created a poll asking which glass people would prefer for drinking orange juice or water. I thought the result would be obvious, and several friends agreed. The actual outcome was much more balanced than expected. That result might be useful information for restaurants, but it's also an interesting social experiment for all of us.
My current hypothesis is that Comparica sits somewhere between a social product and a lightweight preference research tool. I'm still learning which side users find most valuable.
The idea makes a lot of sense because people already spend time comparing things everywhere online. Turning that behavior into a dedicated platform feels surprisingly natural. I'd be interested to see which category ends up being most popular personal decisions, entertainment, or startup feedback.
Your own reply in this thread has the answer. You reduced the games because people played instead of signing up, and meanwhile an interior designer uses it daily to make real decisions. That's not entertainment vs research. That's a two-sided market: professionals pay to ask, players vote for free. The designer is your revenue side and the game keeps your voter pool liquid. Before adding any feature, I'd find 10 more like her. Pick one vertical of people who make visual decisions for money (designers, Etsy sellers, marketers testing ad creative) and price for them. Voters are infrastructure, not customers.
That's a really interesting perspective.
The people who create polls are looking for answers, while many voters are primarily interested in predicting outcomes and seeing how their intuition compares to others.
The interior designer example was particularly interesting because she immediately understood the practical value of the platform. Your point about finding 10 more users like her before adding more features makes a lot of sense.
I'm still very early in the journey, but this gives me a useful lens for thinking about who the product is really serving and where the value is created.
The two-sided market framing is exactly right. I'm doing something similar right now with a cloud tool, validating with the people who feel the pain most acutely before touching the product side. Finding 10 users who'd pay before writing a line of code is underrated advice.
Interesting build.
The thing I'd be careful with is that the three possibilities you mentioned don't necessarily lead to the same product.
That sounds obvious, but the actual decision tends to affect more than most founders expect.
I wouldn't make that call casually in a thread.
That's a great point.
One thing I'm still trying to learn is which problem Comparica solves best. The prediction game, social interactions, and decision support aspects all attract different types of users and could lead the product in different directions.
At the moment I'm focusing on talking to users and observing how they use the platform before making any strong assumptions. My hope is that the right direction will emerge from real usage rather than from my own expectations.
Possibly.
The reason I'd still be careful is that I think there's a more important decision sitting underneath that process.
I wouldn't try to unpack that properly in a thread.
If you'd like the tighter version, drop your email and I'll put it together properly.
Sorry for the delayed response.
I'd definitely be interested in hearing your thoughts. My email is konradgrzyb@gmail.com.
Thank you for taking the time to look into it.
Sent you a note by email.
I think the decision matters more than the current signals right now.
Hello
how was your day going and how is you work going buddy
The most interesting tension here is whether Comparica is a tool or a game. The entertainment use case and the decision-making use case attract very different people with very different expectations.
The prediction mechanic is what makes it distinct — most polling tools stop at votes. Earning points for accurate predictions adds a layer that keeps people coming back beyond just having an opinion.
Curious what the early data shows — are people creating comparisons for their own decisions or more for the "what will others choose" curiosity?
I think with apps like lovable, the technical aspects and potential constraints are removed and therefore the build is driven from a customer perspective which is likely to drive a better outcome
I am not at all technical, however felt there was a gap in the market for a true earnings focussed app for us stocks. Through what I want from the site and where I saw a gap, a few prompts later I had a fictional website. Earningscompass is still in POC stage but been able to optimise for seo and already getting lots of traction. My only concern is the domain is not .com but .app and whether that has an impact
You can use a $100 ad budget and 3 distinct visual ad hooks to test click-through rates (CTR) on an idea before building it. If the CTR is high, the market wants it. Offer to design and run that micro-campaign for them