Real music. Real co-signs. Direct connections between curators, artists, and the listeners who care.
For listeners, curators, and artists.
The gap
AI-generated tracks are flooding Spotify playlists. The human behind the music is disappearing. The curators who spent years building taste are invisible. The artists who made something real are buried beneath algorithm-optimized content made by no one.
Auxefeed gives the power back. No agenda. No AI filler. Just a social music discovery network built around real curators, real artists, and direct connections between the people who make music worth hearing and the listeners who care.
How it works
A curator or artist backs a track publicly. No algorithm. Just taste on the line.
Flag a release before it lands. When it delivers, the record shows you called it.
Subscribe to a curator or artist and their Issues arrive straight in your inbox. No feed, no filter.
Why now
The algorithm is winning. Listeners are losing. Human taste is the fix.
Discovery is broken
The average listener consumed 2,728 songs from 1,488 artists in 2025 — and spent just 4.2% of their listening time on their top artist.
Discovery is everywhere. Nothing sticks. Algorithms optimize for scale, not experimentation.
Reprtoir 2025“The average listener consumed 2,728 songs from 1,488 different artists over the course of 2025” — Reprtoir Industry Insights 2025–2026
The middle layer is disappearing
The path from artist to listener has never been shorter — but most platforms still route discovery through intermediaries that favor scale over discovery.
The artists winning right now are the ones building direct relationships with fans before the algorithm finds them.
Identity Music 2026"There's been an increasing shift away from algorithmic discovery towards more traditional discovery methods — listeners are seeking out music on their own terms." — Identity Music, What Will the Music Industry Look Like in 2026
Distribution is no longer the hard part. Attention is. Auxefeed is built for the artists who want to earn it directly.
Human curation is the unlock
Authentic discovery happens when tastemakers take risks before the data confirms it’s safe. The platforms that win will balance scale with human taste.
That’s almost a product brief for Auxefeed.
Hypebot 2026“Authentic discovery occurs when tastemakers take risks and surface music before the data confirms it’s safe.” — Hypebot, 8 Predictions for 2026
The co-sign mechanic has data behind it
Listeners who discover tracks via social co-signs are over 3x more likely to engage with the track themselves.
Blasts, Reblasts, the taste graph — built around the exact behavior the data confirms works.
SoundCloud 2026“Listeners who discover tracks via Liked By playlists are over 3x more likely to engage on the track themselves.” — SoundCloud Music Intelligence Report 2026
“When listeners were exposed to social signals, songs were more likely to become runaway hits — suggesting that popularity can be shaped by the visible preferences of others.” — Social Music Research via Substack
The co-sign doesn’t just reflect taste. It creates it. That’s the mechanic Auxefeed is built on.
Culture lives everywhere, curation lives nowhere
Music discovery is happening across group chats, live experiences, gaming, and video podcasts — but there’s no single home for the cultural conversation.
Auxefeed is building that container — the single home where the cultural conversation about music lives, separate from the playback infrastructure.
Rolling Stone 2026“Music discovery is happening through group chats, live experiences, gaming ecosystems, and video podcasts — across multiple platforms, not in a single container.” — Rolling Stone, The Future of Music 2026
AI flooded the supply. Trust became the product.
AI-generated music is projected to make up the majority of new uploads on streaming platforms by 2026. More music exists than ever. Less of it means anything.
The discovery problem just got exponentially harder. When anyone can generate a song in seconds, the question stops being where do I find new music and starts being who do I trust to find it for me.
Auxefeed 2026"As AI-generated content scales, the most valuable thing on the internet is a person with taste who is willing to put their name on something." — Auxefeed Thesis
Auxefeed isn't competing with AI. It's the reason human curation still matters in a world where AI exists.
Streaming gives you music. Auxefeed gives you a reason to care.
Algorithmic discovery is passive by design — listeners technically find new music but never actively engage with it, save it, or come back to it. The music washes over you and disappears.
A Blast isn't just a track. It's a take, a context, a reason this song matters right now. That's the difference between passive consumption and active discovery — and it's the difference between music you forget and music that sticks.
MIDiA Research 2025"Listeners may technically discover music they enjoy as the algorithm serves it to them but may not actively engage with those discoveries, leading to less repeat listening." — MIDiA Research, Music Discovery Is Not Dead, Just Evolving, 2025
Algorithms give you music. Auxefeed gives you a reason to come back to it.
Discovery is everywhere. Home is nowhere. Until now.
Music discovery now happens across TikTok, group chats, YouTube, Substack, gaming, and live events — fragmented across dozens of platforms with no single place to collect, share, and build on what you find.
Auxefeed is the central hub — the place where discovery lives permanently, with context and voice behind it, separate from the platforms that produce it and the DSPs that play it.
MIDiA Research 2025"There is no longer one central place to find new music. Discovery is happening in different, and more, places than before." — MIDiA Research, Music Discovery Is Not Dead, Just Evolving, 2025
Every platform produces culture. None of them house it. Auxefeed does.
We won't trap you in a loop.
Algorithmic platforms create a cycle — the more you listen, the more they serve you the same thing, narrowing your taste over time instead of expanding it. Auxefeed is built to break that.
Your feed is driven by people, not patterns. Curators take risks, surface the unexpected, and post things before the data confirms they are safe. Following a person means following their curiosity — which goes places an algorithm never would.
MIDiA Research 2025"Personalised algorithms risk trapping listeners in an algorithmic bubble — each user served their own cocktail of selections, making it harder to find community with fans." — MIDiA Research, Music Discovery Is Not Dead, Just Evolving, 2025
An algorithm learns what you like and gives you more of it. A curator shows you what you didn't know you needed.
Streaming is infrastructure. Auxefeed is culture.
The algorithm
Spotify's algorithm looks at what you've played and predicts what you'll play next. It's a mirror — your taste in, your taste out, slightly optimized. It can't show you something genuinely new because it's built around what you already know you like.
Auxefeed works differently. When you open the feed, what you see is shaped by the people you follow — not a machine learning model. If three curators you trust all co-signed the same track this week, it rises. If someone you follow Reblasted something from a curator you've never heard of, it surfaces. The signal is human. The network moves the music.
The further a track travels through real taste connections — Blasted, Reblasted, co-signed by curators whose followers trust them — the stronger its signal. Being early in a chain that goes wide means something here. Your feed reflects the taste of people you chose to trust, not an engagement metric optimized for time on screen.
Who it's for
Tired of AI-generated tracks clogging your playlists? Discover music through real people with real taste. Follow the ones worth following and hear from them directly.
You've always driven discovery. Now you get the credit. Build a following on Auxefeed — your taste is public, your record is permanent, your fans are yours directly.
Your fans hear from you when you drop something. Not because an algorithm decided to surface it. Because they followed you and your message arrives directly.
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