Introducing Zygnal: Where Dating Profiles Meet Data Science

A new app that turns dating profile optimization from guesswork into science. Real votes, AI analysis, and statistical rigor deliver a score you can trust—and a next move that actually works.

Your dating profile is broken. Not because you're unattractive — because you're showing up wrong.

68% of people lead with the wrong photo. Not their worst photo. Their wrong photo. The one that converts at 3% instead of the candid laugh at position #6 that converts at 8%.

Same face. Completely different outcomes.

Zygnal shows you which photos work, which don't, and exactly what to change.

We built a system that extracts signal from noise, delivering a clean score, an honest confidence range, and most importantly — exactly what to change next.

The Architecture of Honest Feedback

Traditional rating systems fail because they're built wrong. Nobody knows the difference between a 6 and a 7. Star ratings cluster at 3. Binary yes/no loses all nuance.

We use a 4-level scale that captures actual swipe intent—would you swipe right on this profile? The options: Pass / Unsure / Maybe / Yes.

Zygnal's 4-level voting interface showing Pass, Unsure, Maybe, and Yes options for rating dating profiles

Everyone instantly understands these. They represent real dating decisions that split-second judgment of whether you'd swipe right. Behind the scenes, we convert them to a 1-10 Vibe Compatibility Index (VCI) using ordinal regression—but users just vote on intent.

The result? A clean, interpretable score with honest uncertainty bounds.

Your Photos Are Probably in the Wrong Order

Our data reveals a stunning pattern: 68% of people lead with the wrong photo.

That group shot might be killing your chances (-31% swipe rate). The wedding photo where you "clean up nice"? It's probably your winner, buried at position #6. Simply swapping two photos averages a +1.2 point VCI boost. Ten seconds of work for measurable improvement.

Zygnal's AI analyzes every photo for technical quality—lighting, framing, sharpness—while humans vote on the intangibles. We mark your winner and the one dragging you down, then tell you exactly what to swap.

Zygnal photo performance analysis dashboard showing which profile photos are winning and losing with detailed metrics

Who Actually Likes You (And Who Doesn't)

Generic scores are useless. A 28-year-old in Austin needs different feedback than a 35-year-old in Miami.

Zygnal segments every vote by demographics: age, location, education, income, and what we call "vibes"—personality markers that actually matter. You see exactly which audiences respond to you and which don't.

Detailed demographic breakdown chart showing age, location, and preference data of voters who rated your dating profile

This isn't about judgment. It's about efficiency. Stop wasting time on mismatched markets. Double down where you naturally win.

The Statistical Engine Nobody Else Has

Here's what happens behind every score—complete transparency in the calculation process:

Step-by-step breakdown showing the Bayesian statistical process used to calculate your VCI dating profile score Detailed VCI score calculation methodology showing weighted voting, MRP correction, and confidence intervals

Weighted Voting: Reliable voters count more than random clickers. We calculate an Effective Sample Size that reflects real signal, not noise.

MRP Correction: We use Multilevel Regression and Post-stratification—the same technique political pollsters use—to adjust for sampling bias. If this week's voters skewed young, we reweight to match your actual dating market.

Bayesian Confidence: Your score comes with a confidence percentage that grows with quality votes. We're transparent about uncertainty. A 7.2 with high confidence means something different than 7.2 with low confidence.

Vote distribution histogram showing how Pass, Unsure, Maybe, and Yes votes are distributed across your profile

Attribution Analysis: We calculate how much your main photo drives your score versus your full profile. "Main photo: 62% of appeal" means fixing that one image has outsized impact.

Vibes Over Stereotypes

Traditional apps use crude categories. We use "vibes"—up to three personality markers with weights (50/30/20).

Choose from: Adventurer, Builder, Creative, Intellectual, Athlete, Cultural Bridge, Minimalist, Mystic, Connector, Tech Innovator.

These aren't stereotypes. They're Bayesian priors that help stabilize scores with limited data. Crucially, gender never enters the equation—your baseline comes from chosen vibes, not chromosomes.

One Change, Measurable Impact

Zygnal doesn't overwhelm you with suggestions. We identify the single highest-impact change you can make right now:

  • "Swap photo #3 to primary position: +0.8 VCI expected"
  • "Replace group photo with solo shot: +0.5 expected"
  • "Add specific detail to bio opener: +0.3 expected"

Each recommendation includes expected lift based on historical A/B test data. No guessing. Just data-driven improvements.

Executive summary dashboard with key metrics, top recommendations, and actionable insights for profile improvement

But we don't just focus on problems. We also highlight what's already working:

Detailed analysis highlighting your dating profile's key strengths and what's working well to attract matches

Experiment Mode: Your Profile as Product

Run your dating profile like a startup runs their product. Launch variants, gather votes, compare performance, track lift. If a change didn't move the needle, you'll know. If it worked, you'll see exactly how much.

Built Different

Zygnal is an ordinal-Bayesian, reliability-weighted, MRP-corrected system with calibrated uncertainty and attribution modeling. We borrowed from political polling, clinical trials, and machine learning to build something dating apps should have created years ago.

But you don't need to understand the math. You just need to know it works.

Your profile is underperforming. The data proves it. Zygnal shows you exactly where, why, and what to do about it.

Stop guessing. Start knowing.


Download Zygnal. Get your VCI. Fix what's broken. Ship better.