Ap

App Motion Design Gallery

Hacker News

App Motion Design Gallery

Explore the best, hand-picked app motion design

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
42%42% 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
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
35%35% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
33%33% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ns
Nsfw subreddit gallery50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nsfw subreddit gallery

Hacker News8
De
Devlids – Gallery of Stickered Laptops39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Devlids – Gallery of Stickered Laptops

Hacker News7
Pa
Pacific Northwest Diving Gallery39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pacific Northwest Diving Gallery

Hacker News1
St
Streamlit-Extras Gallery38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Streamlit-Extras Gallery

Hacker News2
Wo
Woodspotting Gallery39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Woodspotting Gallery

Hacker News1
Tanzite StoneDecks
Tanzite StoneDecks30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Deck Design Gallery

Indie Hackers
Soft motion
Soft motion42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AIを使用して、写真から微細なモーション動画を作成する

Indie Hackerscommitment-full-time
460 Gallery
460 Gallery40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Virtual Art Gallery

Indie Hackers1art
I
I will design your app for $1k35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I will design your app for $1k

Hacker News6
Th
The App Design Handbook37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The App Design Handbook

Hacker News26