I

I did a little thing in V

Hacker News

I did a little thing in V

Share card

Actual performance

21points
9comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Th
The coolest little calculator you ever did see.56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The coolest little calculator you ever did see.

Hacker News5
A
A little thing I made for Calvin and Hobbes fans43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A little thing I made for Calvin and Hobbes fans

Hacker News2
WT
WTFDYUM: Why the f*** did you unfollow me?62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WTFDYUM: Why the f*** did you unfollow me?

Hacker News7
UC
UChicago admissions asked me to find Waldo. I did.63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

UChicago admissions asked me to find Waldo. I did.

Hacker News149
Di
Did you ever stuck between two dresses?53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Did you ever stuck between two dresses?

Hacker News1
Do
Do You Have “The Thing”35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Do You Have “The Thing”

Hacker News1
A
A Thing I Made For NaNoWriMo48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Thing I Made For NaNoWriMo

Hacker News2
Ec
Ecks.pl, a handy little tmux wrapper in Literate Perl49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ecks.pl, a handy little tmux wrapper in Literate Perl

Hacker News12
Li
Little Betsy, curating the margins of Etsy38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Little Betsy, curating the margins of Etsy

Hacker News1
Li
Little Guys34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Little Guys

Hacker News13