Vi

Vinylogue for Last.fm (iOS)

Hacker News

Vinylogue for Last.fm (iOS)

Share card

Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
85%85% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
84%84% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
37%37% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Po
Poolside FM42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Poolside FM

Hacker News3
Tu
TuneUP.fm42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TuneUP.fm

Hacker News1
Sy
Synth.fm42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Synth.fm

Hacker News17
La
Last.fm API for Emacs Lisp67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Last.fm API for Emacs Lisp

Hacker News1
bijou.fm
bijou.fm21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Last.fm and Spotify statistics tool

Indie Hackers1data
A
A YouTube and Last.fm mashup43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A YouTube and Last.fm mashup

Hacker News5
We
WebGL + backbone + socket.io + last.fm = SolariBoard64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WebGL + backbone + socket.io + last.fm = SolariBoard

Hacker News2
Memo.fm
Memo.fm41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A voicemail link for podcasters

Indie Hackers6$147/mopodcasting
Ju
Juicebox – A turntable.fm alternative50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Juicebox – A turntable.fm alternative

Hacker News4
Cards.fm
Cards.fm18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cards.fm

Indie Hackerscommitment-side-project