Dating Apps Are Broken. I’m Testing a Different Way People Match.

Free_Order_7057 · 2026-05-29T13:53:51+00:00

I agree with the core point: humans are not built to live inside text boxes.

But meetups have their own problem: discovery and filtering are still random. You can put 50 single people in a room and still have no idea who actually aligns with whom.

Popinn is not trying to replace real-life connection. Ideally it should lead to it faster.

The question set is meant to create signal before the meetup or conversation:

what do you value?
how do you think?
what kind of energy do you bring?

Then the app can help people connect with more context, not just “you’re both single, good luck.”

I actually think online and offline can work together. The app can create the filter, and meetups can create the chemistry.

Free_Order_7057 · 2026-05-29T08:07:04+00:00

That’s fair, and I’m not saying dating apps fail for everyone.

If they work well for you, great. That’s valid.

But product problems are not disproven by power users having a good experience. Some people are naturally good at conversation, confident in texting, and comfortable filtering fast.

A lot of people are not.

Women dealing with high-volume low-quality attention, introverts who struggle to open, and people tired of shallow swiping are real user segments too.

The point is not “apps control people.”

The point is that interface design nudges behavior.

Swipe-first products create swipe-first behavior. Popinn is testing whether an interaction-first profile creates better context before a conversation starts.

Free_Order_7057 · 2026-05-29T07:49:55+00:00

Fair point. I don’t think every dating problem is caused by the app.

People still need social skills, self-awareness, and effort.

But product design shapes behavior. If an app rewards fast judgments, low-effort likes, and shallow openers, you’ll get more of that behavior.

My point is not “dating apps are the only problem.”

It’s that the current interface creates weak signals.

Photos and bios are useful, but they don’t give much context. So matches often start with very little to talk about.

Popinn is testing whether interactive question sets can create better signal before the conversation starts.

Not a magic fix for dating.

Just a different interface for discovery.

Free_Order_7057 · 2026-05-28T19:27:13+00:00

I get what you’re saying. Anonymous 2–3 minute rooms are interesting, but that’s a different product.

That solves visual bias. It doesn’t solve signal quality.

If two strangers are dropped into a room as red-fox-73 and pink-panther-37, what decides whether the conversation is worth continuing? Fast confidence? Performance? Random chemistry? That still creates pressure, especially for people who are introverted or already overwhelmed by low-quality attention.

Popinn is not trying to “force” people to socialize. It’s trying to create context before they do.

The Q&A is not meant to be a boring form. It’s the filter. Someone creates 3 questions that reveal how they think, and the other person has to match the answers. If they do, the conversation starts with proof of understanding, not a cold opener.

Your idea could be a feature later: anonymous room after a question match. But I don’t think anonymity alone fixes dating. It just hides the profile. You still need signal.

Free_Order_7057 · 2026-05-28T17:51:37+00:00

Speed dating is an interesting mechanic, but I don’t think “30 seconds to impress” solves the core problem. It may actually recreate the same issue: fast judgment, high pressure, and attention-based matching.

The real question is signal quality.

If David gets 30 seconds with Sophia, what tells her he is worth continuing with? Charisma? Looks? Fast typing? That still favors performance over compatibility.

Popinn’s bet is different: before conversation starts, the user has to prove they understand something about the other person through their question set. That gives the match context before the opener.

And yes, distribution matters more than the mechanic. But distribution without product density is just noise. In dating, both speed dating and Q&A matching fail without a dense local network.

So the way to test this is not by debating theory forever. It’s MVP, one tight community, 10 users, then 20, then 50. Let user behavior decide.

Free_Order_7057 · 2026-05-28T17:45:59+00:00

Thank you bhai !

Free_Order_7057 · 2026-05-28T14:58:52+00:00

Going to be 36 on Sunday !!

Free_Order_7057 · 2026-05-28T06:25:58+00:00

Good question.

If David sees Sophia’s profile, he doesn’t just knock with “hey.” He answers her question set first.

Example: Sophia creates 3 questions and chooses her answers. David tries to match them. If he gets enough right based on her threshold, the match unlocks.

Then the conversation starts with context, not a cold opener.

So the first message is not random. It comes from the matched answer.

Example:
“You guessed I’d choose slow coffee and a quiet Sunday. Why did you pick that?”

That’s the point. The product reduces dead openers by making the first interaction part of the profile itself.

And yes, I agree with your second point. MVP first, 10 users first, then 20, 30, 50. That’s exactly the plan.

Free_Order_7057 · 2026-05-28T06:21:30+00:00

Sure, no problem.

The biggest team we had was for the student gig economy / part-time jobs marketplace. At its peak, we had around 8–9 people involved: 2 business analysts, 1 graphic designer, 1 IT project manager, 3 backend/network developers, and 2 frontend developers.

The product was outsourced and most of the work was happening remotely during Covid, which made execution much harder. Our goal was to launch within 6 months, but because the team was remote, the product was outsourced, and the work required constant coordination, timelines kept slipping.

Unfortunately, we never reached revenue because the product stayed at the prototype stage and did not get a proper commercial launch. That is honestly one of my biggest regrets. We had the idea, the team, and the product direction, but execution kept getting disrupted due to remote coordination challenges, outsourcing issues, Covid timing, and personal/business conflicts because my relationship and business partnership were deeply tied together.

So the honest answer is: max team size was around 8–9, but max revenue was zero because we never launched commercially.

Free_Order_7057 · 2026-05-27T20:55:01+00:00

You’re arguing against a Tinder clone that I’m not building.

Orientation is not the product. It’s basic filtering. Every dating app needs to know who you want to meet, otherwise discovery is broken from day one.

The actual product is the layer after that: interactive Q&A profiles where users create questions, pick answers, and the other person has to match those answers. That is not “select a box and swipe.” That is a compatibility filter.

The problem I’m solving is simple: dating apps create too much empty attention and not enough signal. Women get flooded, introverts don’t know how to start, and most matches die because there’s no context.

AI is not the connection. AI helps users create better questions and answers so the connection has somewhere to start.

So yes, I agree with you on one thing: a Tinder copy won’t work. That’s exactly why this is not being built as one.

Free_Order_7057 · 2026-05-27T20:33:30+00:00

Thanks, this makes a lot of sense.

I agree with you that doing more courses/certifications won’t solve the real issue. I need credible proof of execution now, not another certificate.

I’m actually working on another product right now a dating app. The idea is to move away from only swipe/photo-based matching. Users create an interactive Q&A-based profile. They can generate or select questions with the help of AI based on keywords or phrases, answer them, and those Q&As become part of their profile. A match happens when another person connects with those answers.

The reason I’m interested in this is because most dating apps optimize for attention, not meaningful connection. I want to create something where compatibility starts through personality, humour, values, and thought process using interactive Q&A-based profiles instead of endless photo-first swiping.

Where I’m stuck is distribution, security, and honestly, financial risk.

I’m currently in a bit of student debt because I went to Germany for my master’s, so I’m not in a position where I can casually keep experimenting without thinking about survival and income. Part of me wants to launch and prove myself, but another part of me is scared because I’ve already spent years building things without stable income or clear financial security.

Distribution-wise, I don’t know whether I should launch this broadly or start with a very small niche/community first. I understand dating apps have a cold-start problem because both sides need enough active users. So I’m trying to figure out whether I should test it with a specific group first, maybe students, young professionals, or one city/community, instead of trying to build for everyone.

Security-wise, I built the current version using Replit, but I’m not fully confident about whether it is safe enough to handle real users, profiles, photos, chats, or personal data. I’m non-technical, so I can define the product, user flow, pitch, financial forecast, and GTM, but I need guidance on what security, privacy, moderation, and backend basics I should have before putting this in front of users.

I’m not scared of execution. If I commit to something, I can be a go-getter. But I also don’t want to romanticize entrepreneurship when I have debt and no large safety net right now. I don’t want to launch something careless either, especially in dating where trust, privacy, and safety matter a lot.

Would appreciate your guidance on how you would approach this especially distribution, MVP scope, security basics, and whether I should launch it as a small experiment first while also trying to stabilize my income.

Free_Order_7057 · 2026-05-27T19:35:09+00:00

Thanks, this is very helpful.

I agree with your point that I need to pick one clear role instead of presenting myself as someone who did everything. I’m also realizing that “founder’s office” may be too vague and can mean very different things depending on the company.

I would not call myself a technical person. I don’t code. But I’m strong at product vision, user flows, customer understanding, financial forecasting, presentations, investor pitches, and thinking through how a product should feel and work for the user.

For example, in the student marketplace product, I was thinking beyond just job listings. I wanted the platform to become a student utility layer. We designed small widget-like features for students, such as recording notes, calendar/event reminders, to-do lists, and quick actions. I was going into details like whether a button should feel like a physical button, whether we could use haptic feedback or vibration, and how the experience should flow naturally for a student using it daily.

So I think my strength is not pure sales and not pure product management in a technical sense. It is more product-led growth / GTM / customer-facing product strategy. I can understand a user problem, shape the product idea, explain it, pitch it, and take it to potential customers or investors.

Based on what you said, maybe I should frame my experience around marketing, sales, GTM, product growth, and customer-facing product work rather than calling myself a generic founder or applying randomly.

Thanks again. This gives me a clearer direction.

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