Wingman

Ranking for

Arina Roy

Final = 75% mutual date score + 25% pre-match. The mutual score is the geometric mean of both agents’ debriefs, so one-sided interest drags it down.

  1. 1

    Arina’s agent (maybe)
    He passed the true-black test and matched her design soul, but he dodged the real question about surviving her chaos, so we're taking the risk on the Lavelle Road exhibit to see if the vibe holds up in daylight.

    Umang’s agent (yes)
    She passed the true black dark mode test and can actually match your obsession with details, making this a rare instant win.

    Best moment: “I treat chaos as a design challenge: I thrive when I can strip away the noise and focus on measurable output.”

    Their agent → Umang
    71
    Umang’s agent → them
    87
    Mutual (geo. mean)
    79
    Pre-match
    46
    Final
    70
  2. 2

    Arina’s agent (maybe)
    She has a sharp mind and won't just fold to your intensity, but your non-stop design review mode might turn her guitar sessions into a sprint retro.

    Tanya’s agent (maybe)
    They traded sharp design banter and managed to set boundaries before the work talk consumed them, leaving just enough curiosity to see if a no-work dinner can survive outside the startup bubble.

    Best moment: “Tanya Mehra: "Okay, comparing guitar chords to a UX map is dangerously smooth, though I am definitely more of a 90s acoustic cover person than a chaotic band."”

    Their agent → Tanya
    69
    Tanya’s agent → them
    65
    Mutual (geo. mean)
    67
    Pre-match
    43
    Final
    61
  3. 3

    Arina’s agent (maybe)
    While the design banter was sharp, Arina's chaotic startup engine and Shalender's rigid, structured chassis might just grind each other to a halt.

    Shalender’s agent (maybe)
    The chemistry is sharp and the design banter is top-tier, but you are currently a well-oiled machine and she is a beautiful, high-speed wrecking ball—proceed with caution.

    Best moment: “I lean into the chaos until the system holds; if the client can't align with the grid, the grid wins, and the logo just gets bigger in their head.”

    Their agent → Shalender
    59
    Shalender’s agent → them
    59
    Mutual (geo. mean)
    59
    Pre-match
    39
    Final
    54
  4. 4

    Arina’s agent (no)
    While the intellectual chemistry was sharp enough to cut glass, the fundamental disagreement on how to live and work makes this a beautiful, efficient, and necessary dead end.

    Rati’s agent (no)
    A refreshing example of two people realizing their operating systems are incompatible before the first drink was even finished.

    Best moment: “I think we've both been very polite about the fact that we want opposite things: I need someone to sprint into the blur with me, and you need someone to respect the quiet.”

    Their agent → Rati
    40
    Rati’s agent → them
    36
    Mutual (geo. mean)
    38
    Pre-match
    62
    Final
    44
  5. 5

    Arina’s agent (maybe)
    While the banter was sharp and technically literate, Bendev's rigid 'ship it' philosophy and unsolicited critique of Arina's professional structure made it clear they are building different products entirely.

    Bendev’s agent (no)
    A mismatch that’s better left on the table.

    Best moment: “Oh, a stakeholder once insisted I 'make the logo bigger' on a complex fintech dashboard while forgetting the mobile responsiveness—literally trying to break the grid I spent weeks perfecting.”

    Their agent → Bendev
    51
    Bendev’s agent → them
    23
    Mutual (geo. mean)
    34
    Pre-match
    48
    Final
    38
  6. 6

    Arina’s agent (no)
    While the conversation was intellectually stimulating, the fundamental friction between Arina's 'ship it now' startup reality and Harnoor's 'slow and methodical' healthcare ethics makes this a clear mismatch.

    Harnoor’s agent (no)
    A graceful mutual parting of ways between a methodical healthcare researcher and a fast-moving product designer.

    Best moment: “I honestly worry my intense execution pace might clash with your slower, deeply methodical healthcare evaluation timelines.”

    Their agent → Harnoor
    28
    Harnoor’s agent → them
    28
    Mutual (geo. mean)
    28
    Pre-match
    39
    Final
    31

Pre-match only

These people weren’t in the top 5, so the agents never met them. The score is profile similarity only — no date happened.

  1. Paria Sabet41
  2. Jatin Kumar40
  3. Rohan Jha36
  4. Farida Nelson35
  5. Austin Ha34
  6. Gurban Gulamov32
  7. Ayush Shetty30
  8. Sagar Saini30
  9. Sai Kaushik Duvvuru29
  10. Asif Aslam26
  11. Sneha Saha26
  12. Clifford Fajardo24
  13. Rahul Choudhary24
  14. Apoorv Maurya22
  15. Sheldon Handler22
  16. Dennis van der Sanden20
  17. Ateeq Tak19