Fi

FiveStar – A Ruby generic rating library

Hacker News

FiveStar – A Ruby generic rating library

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
62%62% 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
56%56% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% 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
32%32% 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
24%24% 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
23%23% 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
8%8% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

dominonet
dominonet3%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bukan cuma banyak pecinta saja dapat melainkan rating dari p

Indie Hackers
situsjudiqqonline
situsjudiqqonline5%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bukan cuma banyak pecinta saja bakal lagi pula rating dari

Indie Hackerscommitment-full-time
UV Rating
UV Rating14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hourly UV Rating Forecast

Indie Hackers1advertising
I
I made a new fencing rating system called PointControl27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a new fencing rating system called PointControl

Hacker News2
I
I made a tool to create emojis rating popups28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a tool to create emojis rating popups

Hacker News1
Ho
How Difficult Is It? A website for rating game difficulty27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How Difficult Is It? A website for rating game difficulty

Hacker News1
ma
mario.py, a convenience library for i/o35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

mario.py, a convenience library for i/o

Hacker News2
Li
Livewire: Livescript microrouting library51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Livewire: Livescript microrouting library

Hacker News2
A
A Dropbox library for Go54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Dropbox library for Go

Hacker News3
Dj
Django passbook library released47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Django passbook library released

Hacker News1