← All Connections

If You Like Happy!(2018)

TV

Based on real preference data from thousands of voters, here's what fans of Happy! also love. Use these connections to discover your next favorite.

119 connections found

119 connections
Sort by
1
39x
54 voters
3
25x
51 voters
4
23x
83 voters
5
23x
74 voters
7
20x
81 voters
8
19x
52 voters
9
18x
76 voters
10
17x
69 voters
11
16x
134 voters
12
15x
76 voters
14
15x
68 voters
15
13x
86 voters
17
10.0x
55 voters
18
9.2x
57 voters
19
9.2x
57 voters
20
8.5x
66 voters
21
8.3x
90 voters
22
8.1x
70 voters
23
7.6x
57 voters
24
7.6x
77 voters
25
7.4x
72 voters
26
7.1x
76 voters
27
6.7x
101 voters
28
6.0x
62 voters
29
5.9x
62 voters
31
5.4x
50 voters
32
5.4x
65 voters
33
5.4x
99 voters
34
5.3x
65 voters
35
5.3x
93 voters
36
4.9x
112 voters
38
4.4x
84 voters
39
4.4x
59 voters
40
4.1x
52 voters
41
4.1x
72 voters
42
4.0x
72 voters
44
3.8x
94 voters
46
3.7x
68 voters
47
3.7x
56 voters
48
3.6x
92 voters
49
3.5x
122 voters
51
3.3x
56 voters
53
3.0x
50 voters
54
2.9x
54 voters
55
2.9x
67 voters
56
2.9x
54 voters
57
2.8x
75 voters
59
2.7x
50 voters
60
2.5x
84 voters
61
2.4x
56 voters
62
2.3x
119 voters
64
1.5x
91 voters
65
0.1x
6 voters
68
0.1x
6 voters
69
0.1x
5 voters
70
0.1x
5 voters
74
0.0x
10 voters
75
0.0x
4 voters
76
0.0x
4 voters
77
0.0x
4 voters
79
0.0x
3 voters
80
0.0x
3 voters
81
0.0x
3 voters
82
0.0x
3 voters
84
0.0x
3 voters
85
0.0x
3 voters
86
0.0x
3 voters
87
0.0x
3 voters
88
0.0x
3 voters
89
0.0x
12 voters
92
0.0x
3 voters
93
0.0x
5 voters
96
0.0x
4 voters
97
0.0x
4 voters
98
0.0x
4 voters
99
0.0x
4 voters
100
0.0x
3 voters
101
0.0x
3 voters
104
0.0x
3 voters
107
0.0x
4 voters
109
0.0x
3 voters
113
0.0x
4 voters
114
0.0x
6 voters
115
0.0x
4 voters
116
0.0x
4 voters
117
0.0x
6 voters
118
0.0x
6 voters
119
0.0x
7 voters

How does this work?

These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love Happy! consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Happy! are to enjoy each recommendation compared to the average person.

Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.