Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
74%74% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
53%53% 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
47%47% 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
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
24%24% 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
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Shine Stars
Shine Stars39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shine Stars Seo

Indie Hackers
Shine Stars
Shine Stars39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shine Stars Seo

Indie Hackers
The Bulbs Shine Bright
The Bulbs Shine Bright54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shine Bright!

Indie Hackerscommitment-side-project
orion stars 777
orion stars 77715%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

orion stars 777

Indie Hackers
An
An AI for identifying porn stars24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An AI for identifying porn stars

Hacker News6
American Limo & Sedans
American Limo & Sedans42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rain or shine we're on time

Indie Hackerscommitment-full-time
RT
RTS with known stars and exoplanets can now be played in the browser53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RTS with known stars and exoplanets can now be played in the browser

Hacker News6
Gi
Give and Get more GitHub stars43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Give and Get more GitHub stars

Hacker News1
Th
Thank-you-stars – tool to stars to a PyPI package and its dependencies25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Thank-you-stars – tool to stars to a PyPI package and its dependencies

Hacker News1
Ti
TidyFork for cleaning up outdated forks and stars33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TidyFork for cleaning up outdated forks and stars

Hacker News5