← All Connections

If You Like Slint

Music

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

91 connections found

91 connections
Sort by
1
181x
59 voters
2
163x
61 voters
3
150x
63 voters
4
133x
55 voters
5
126x
65 voters
6
114x
61 voters
7
109x
82 voters
8
104x
81 voters
9
95x
94 voters
10
94x
70 voters
11
92x
62 voters
12
91x
56 voters
13
86x
54 voters
15
67x
74 voters
16
67x
91 voters
17
66x
68 voters
18
64x
74 voters
19
58x
79 voters
20
57x
74 voters
21
56x
103 voters
22
56x
126 voters
23
49x
58 voters
24
48x
64 voters
26
44x
81 voters
27
42x
63 voters
28
42x
51 voters
29
42x
142 voters
30
40x
66 voters
31
39x
81 voters
32
38x
75 voters
33
37x
67 voters
34
37x
71 voters
35
37x
76 voters
36
36x
57 voters
37
30x
55 voters
38
29x
80 voters
39
28x
85 voters
40
27x
54 voters
41
26x
94 voters
42
26x
75 voters
43
25x
80 voters
44
24x
60 voters
45
24x
51 voters
46
23x
59 voters
47
22x
93 voters
48
22x
109 voters
49
22x
112 voters
50
22x
67 voters
51
21x
61 voters
52
21x
56 voters
53
20x
86 voters
54
20x
63 voters
55
19x
50 voters
56
19x
54 voters
57
19x
117 voters
58
18x
62 voters
59
18x
75 voters
60
18x
72 voters
61
18x
64 voters
62
17x
69 voters
63
15x
56 voters
64
14x
69 voters
65
14x
62 voters
67
13x
98 voters
68
13x
90 voters
69
13x
59 voters
70
12x
54 voters
71
11x
69 voters
72
11x
98 voters
73
11x
73 voters
74
11x
54 voters
76
10.0x
63 voters
77
10.0x
62 voters
78
9.5x
55 voters
79
9.2x
61 voters
80
8.6x
59 voters
81
8.3x
123 voters
82
8.1x
63 voters
83
7.8x
50 voters
84
7.3x
66 voters
85
6.7x
55 voters
86
5.8x
92 voters
87
5.5x
59 voters
88
5.2x
74 voters
89
5.0x
56 voters
90
4.4x
86 voters
91
3.7x
53 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 Slint consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Slint 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.