Layra

Layra

Product Hunt

Turn your fragrance collection into signature scent pairings

Share card

Actual performance

3upvotes
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
87%87% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, 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
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
34%34% 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
28%28% predicted probability of success on Product Hunt, 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Will It Layer?
Will It Layer?25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Smarter fragrance layering for signature scent seekers

Product Hunt+2
Sc
ScentSee – The Fragrance API58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ScentSee – The Fragrance API

Hacker News2
Fragrance Compass
Fragrance Compass13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI fragrance finder, blind-buy risk & collection analysis

Product Hunt+2
Bo
BoldSign – Electronic Signature for Everyone – Free40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BoldSign – Electronic Signature for Everyone – Free

Hacker News5
Scentfine
Scentfine51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The fragrance marketplace

Indie Hackers1e-commerce
Co
Collection of visualizations for IPython51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collection of visualizations for IPython

Hacker News5
Co
Collection of augmented performances48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collection of augmented performances

Hacker News1
Vi
VimFeed – collection of Vim-related newsfeeds47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VimFeed – collection of Vim-related newsfeeds

Hacker News3
Ja
Java Collection Overhead33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Java Collection Overhead

Hacker News2
Th
The Lightest - a collection40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Lightest - a collection

Hacker News2