Li

ListenLater.fm – A read-it-later service for your ears

Hacker News

ListenLater.fm – A read-it-later service for your ears

Share card

Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
69%69% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, 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
ListenLater.fm
ListenLater.fm51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A read-it-later service delivered direct to your podcast app

Indie Hackers3b2c
Ca
Cassie.fm – Web and API monitoring service52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cassie.fm – Web and API monitoring service

Hacker News1
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
Vi
Vinylogue for Last.fm (iOS)37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vinylogue for Last.fm (iOS)

Hacker News1
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