See how women perceive you
at first glance.
Reveals how women really see you at first sight in real life — even if the truth stings.
Sample profile
Ahead of about 70% of men
Walking into the café, the first read is: clean, defined jawline, well-fitted clothes. Biggest plus is height and jawline; biggest drag is the soft hair and narrow shoulders — both fully fixable in 3 months to push him into the strong-appeal band (130+).
Strengths
- 6'0", instant first-impression height bonus
- Defined jawline with strong side profile
- Outfit fits cleanly, doesn't read older than his age
Weak spots
- Hair sits soft and lacks shape
- Narrow shoulders make the front read thin
- Slight forward shoulder rounding flattens his presence
Simulates a true first glance
Not a single-photo face score. Reads face, height, body, vibe, outfit, skin and posture together — the same bundle a stranger reads in 1–3 seconds.
Threshold-triggered, not linear
Cross the perception threshold and your perceived score jumps non-linearly — confirmed in speed-dating studies (Asendorpf et al.). The everyday-male median sits in the middle band; two aligned levers push you decisively higher.
Specific, executable advice
No generic 'be more confident'. We tell you exactly what to change about your hair, body-fat target, posture, and outfit fit — every move tied back to a real gap in the preference distribution data.
Your photos belong to you
- · Encrypted, private hosting via UploadThing — never indexable, no public URLs.
- · Reports are visible only to the signed-in owner.
- · Delete photos and history anytime, in one click.
- · Never used to train any model.
Two steps to a real score
About 2 minutes. Two photos plus a few key data points, and you get back a real-world first-impression report.
Answer a few basics
Height, weight, body fat, lifting experience. Scroll-pickers — no typing.
Upload two photos
Face + daily outfit. Encrypted via UploadThing, never shown publicly, deletable in one click.
Get your perceived score
Your perceived first-impression score, gut summary, face & body breakdown, wardrobe grade, real-world impression, strengths, and weak spots.
Why trust this — not just another AI rater
Buss 1989 · Langlois 2000 · real dating-platform data — tap to expand
Why trust this — not just another AI rater
Buss 1989 · Langlois 2000 · real dating-platform data — tap to expand
We didn't ask AI to judge by feel. The engine sits on top of peer-reviewed human research and real behavioral data.
Cross-cultural female preference research
Buss (1989) mate-preference sample across 37 cultures (n ≈ 10,047) + Langlois et al. (2000) facial-attractiveness meta-analytic review (eleven meta-analyses).
Real dating-platform behavioral data
Public OkCupid / Hinge / Tinder datasets on which signals actually drive interaction (tens of millions of swipe / message / match events) — i.e. what women actually do inside a 1–2 second decision window.
Threshold + body-preference models
Singh (1993) on body-shape preferences + Asendorpf et al. (2011) speed-dating study (n=382), together explaining the non-linear threshold-triggered perception model — that's why slow +1 +1 +1 doesn't add up like you'd expect.
We're not claiming we ran our own original 5,000-person study. What we did is take the existing peer-reviewed human research + real behavioral data, and calibrate them into a single engine that gives you concrete feedback in about 2 minutes.
Latest from the playbook
New guides on photos, grooming, face, and body composition — written to be used, not skimmed.
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