Me

Meet the Loops

Hacker News

Meet the Loops

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
75%75% 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.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
45%45% 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
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% 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
29%29% 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
21%21% 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
19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Sp
SpectralOli: Livecoding with Audio Loops64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SpectralOli: Livecoding with Audio Loops

Hacker News3
Product Loops
Product Loops85%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Database of product loops

Indie Hackers4community
Me
Meet Dockship37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Meet Dockship

Hacker News52
Me
Meet Geisha73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Meet Geisha

Hacker News33
vizgenie
vizgenie33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No more PromQL headaches – Meet VizGenie

Indie Hackers1ai
Harmonia Bundle
Harmonia Bundle26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mediterranean, turkish & greek samples & loops

Product Hunt+8
Allyhub
Allyhub76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Meet Ally — the AI that compounds.

Indie Hackerscommitment-full-time
A
A private pager for your AI agent loops37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A private pager for your AI agent loops

Hacker News5
Mu
Multiplayer Music Loops in Elixir and Elm73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multiplayer Music Loops in Elixir and Elm

Hacker News5
Re
RewardGuard – detect reward hacking in RL training loops48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RewardGuard – detect reward hacking in RL training loops

Hacker News1