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scenes by Lux Cache is a music discovery tool. you give it people or releases you trust, it crawls public data to find what else those networks are into.
two modes — soundcloud and bandcamp. each works the same way: seed with taste you trust, explore the network around it, surface overlap.
if multiple independent sources all point to the same thing, it shows up. that's it. no algorithms, no machine learning.
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saved
+
ears ?
clear
depth
recent likes. faster discovery, good for a quick scan.
scenes
+ save current ears as scene
+ overwrite scene
seeds ?
depth
fewer fans sampled. faster discovery, broader signal.
branches
+ save current seeds as branch
1. add diggers — discogs usernames whose collections you trust.
2. paste your discogs token (settings > developers > generate token).
3. hit discover — pulls each digger's public collection and wantlist via the API.
4. results rank releases by overlap. have + want split visible. everyone wanting but nobody having = strong signal.
5. save groups of diggers as crates.
api token
required. 60 requests/min free.
diggers ?
crates
+ save current diggers as crate
1. add seeds — rateyourmusic album URLs you love.
2. hit discover — finds users who rated your seeds highly, then pulls their rating histories.
3. highest rated ranks by avg rating from your taste-matched cohort. most found ranks by pure overlap count.
4. save groups of seeds as lists. scraping is intentionally slow (~2s between requests).
seeds ?
depth
15
raters per seed. higher = richer results, much slower.
lists
+ save current seeds as list
1. add seeds — nina releases or artists. paste URLs from ninaprotocol.com.
2. hit discover — finds wallets that collected your seeds, then pulls their other purchases.
3. results rank releases by collector overlap. all data is on-chain and public.
4. save groups of seeds as sets.
seeds ?
depth
20
collectors per seed.
sets
+ save current seeds as set
1. add seeds — artists you rate. names or resident advisor URLs.
2. hit discover — searches RA for events they played, pulls full lineups.
3. results rank artists by booking overlap. same promoters trusting the same artists is the signal.
4. save groups of seeds as circuits.
seeds ?
depth
10
events per seed. higher = wider booking network, slower.
circuits
+ save current seeds as circuit
1. add seeds — artists you love, or NTS show URLs directly.
2. hit discover — finds shows that played your seeds, pulls full tracklists.
3. most shows ranks by raw appearance count. most connected ranks by how many seeds they co-appeared with.
4. save groups of seeds as mixes. every tracklist pick was an active curatorial choice.
seeds ?
depth
10
episodes to pull per seed. higher = deeper, slower.
mixes
+ save current seeds as mix
1. add sources — music blog homepage URLs. tries RSS first, then scrapes HTML.
2. hit discover — pulls recent articles, extracts bandcamp, soundcloud, and other outbound links.
3. most covered ranks by raw source count. most recent prioritises newer mentions.
4. save groups of sources as feeds. embedded players are structured data — stronger signal than text.
sources ?
depth
10
articles per source.
feeds
+ save current sources as feed
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