Li

Listen to top headlines of the day

Hacker News

Listen to top headlines of the day

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
90%90% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% 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
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
26%26% 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
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Newseon
Newseon40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to top tech news headlines of the day

Indie Hackers4news-magazines
Th
The Brutalist Report – A rolling snapshot of the day’s headlines55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Brutalist Report – A rolling snapshot of the day’s headlines

Hacker News232
To
Top headlines of the world to start the day54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Top headlines of the world to start the day

Hacker News111
I
I made SUMPOST Newsroom – headlines dump, no algos, updated once a day51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made SUMPOST Newsroom – headlines dump, no algos, updated once a day

Hacker News6
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
Ju
Just 5 Top headlines of you need to start your day with42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Just 5 Top headlines of you need to start your day with

Hacker News1
To
Today’s top headlines delivered twice a day56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Today’s top headlines delivered twice a day

Hacker News1
Ma
Markov Model Headlines59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Markov Model Headlines

Hacker News4