🎬FlickFeel

how the score works

no black box. no mystery math. here's exactly what feeds the flickfeel score.

the 5 pillars

every rating is decomposed into five weighted pillars, then blended with a genre-aware Bayesian prior so small sample sizes don't run wild.

Section Energy

38%

how each act actually felt β€” opening, rising, middle, and the big finish

Pacing & Flow

23%

variance, rising arcs, and whether the middle drags (we call that Middle Death)

Engagement

18%

phone checks, zoning out, boredom β€” how hard it held your attention

Emotional Payoff

13%

did the climax deliver and would you rewatch for the good parts

External Alignment

8%

cross-checked against critic & audience pacing signals (RT, Letterboxd, IMDb)

act weights

the middle of a movie carries the most weight, because that's where movies usually die.

Setup

0–25%

17%

Complication

25–50%

22%

Development

50–75%

31%

Climax + Resolution

75–100%

30%

the pipeline

  1. 1

    Raw signals

    your 10 swipes, tags, phone checks, and completion speed

  2. 2

    5 pillars

    each act is scored and blended by weight

  3. 3

    Bayesian confidence

    scores gravitate toward a genre prior until enough people rate

  4. 4

    Runtime & genre normalization

    a 2h30 drama isn't compared to a 90-min thriller

  5. 5

    Agreement multiplier

    if raters disagree wildly, the score reflects the chaos

  6. 6

    Final score 1–100

    with a confidence interval shown for honesty

reading the score

90–100masterpiece energy fr
80–89absolutely electric
70–79solid vibes all around
60–69good vibes, no cap
50–59mixed feelings tbh
40–49lowkey rough patches
30–39mostly a slog ngl
<30total nap time

ready to contribute to the vibes?