Swagify

Swagify

Product Hunt

No models, no photo shoots, no hassle

Share card

Actual performance

13upvotes
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
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.
best fitHighest predicted score across all platforms for this description.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
48%48% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: model, models · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, 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
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% 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
27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Bt
Bt – 0-hassle BitTorrent for Java 837%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bt – 0-hassle BitTorrent for Java 8

Hacker News8
Vidno
Vidno74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

video conference with no hassle

Indie Hackers1communication
Ph
Photo to Sculpture44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Photo to Sculpture

Hacker News1
pa
panning lightbox for photo panoramas58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

panning lightbox for photo panoramas

Hacker News1
A
A Recursive Photo Mosaic Experiment40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Recursive Photo Mosaic Experiment

Hacker News2
Turreto
Turreto43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Build webapps for your team without the hassle

Indie Hackers1programming
Va
Validating models in Django 1.844%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Validating models in Django 1.8

Hacker News2
Dj
Django-spaghetti-and-meatballs – serving up ERDs from django models50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Django-spaghetti-and-meatballs – serving up ERDs from django models

Hacker News3
Es
Estimation of flop counts for MXNet models37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Estimation of flop counts for MXNet models

Hacker News1
Co
Computed fields for Backbone.Models37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Computed fields for Backbone.Models

Hacker News3