GrowU

GrowU

Product Hunt

The Product Leaderboard

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
32%32% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
15%15% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Th
The Instavest Leaderboard40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Instavest Leaderboard

Hacker News6
ScoreLeader
ScoreLeader36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Scoreboard & Leaderboard App

Product Hunt+6
St
Startup Leaderboard56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup Leaderboard

Hacker News5
A
A leaderboard for podcast *episodes*48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A leaderboard for podcast *episodes*

Hacker News2
HN
HN Domain Leaderboard42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN Domain Leaderboard

Hacker News4
HN
HN Domain Leaderboard42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN Domain Leaderboard

Hacker News266
HN
HN Domain Leaderboard 201939%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN Domain Leaderboard 2019

Hacker News8
Re
Reddit Wallstreetbets Top Leaderboard51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reddit Wallstreetbets Top Leaderboard

Hacker News234
PongUp!
PongUp!33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Office Ping Pong Leaderboard

Indie Hackers10$1,000/mob2b
Su
SubStats – Substack Newsletter Leaderboard34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SubStats – Substack Newsletter Leaderboard

Hacker News18