Li

Listen to Random Podcast Episodes

Hacker News

Listen to Random Podcast Episodes

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
86%86% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
47%47% 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
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
26%26% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
10%10% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ju
Just Listen: Listen to random podcast episodes25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Just Listen: Listen to random podcast episodes

Hacker News1
Te
Tech podcast asking top achievers about fav tools and tricks. Listen?46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tech podcast asking top achievers about fav tools and tricks. Listen?

Hacker News1
Voisemail
Voisemail

Listen to your inbox like a podcast

BetaList
ThreadCast
ThreadCast32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to Reddit like a podcast

Indie Hackers1ai
Castify
Castify43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to YouTube in your podcast player

Indie Hackerscommitment-side-project
Li
Listen Notes Podcast Search API48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen Notes Podcast Search API

Hacker News80
Too Long; Didn't Listen
Too Long; Didn't Listen31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The best Podcast app

Indie Hackers1advertising
Li
Listen to BLDG Evelyn – Chapter 4: The Chapel34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to BLDG Evelyn – Chapter 4: The Chapel

Hacker News1
Li
Listen to BLDG Evelyn – Chapter 5 Part 1: Sisters34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to BLDG Evelyn – Chapter 5 Part 1: Sisters

Hacker News1
Li
Listen to BLDG Evelyn – Chapter 5 Part 2: Sisters34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to BLDG Evelyn – Chapter 5 Part 2: Sisters

Hacker News2