AZLabels
One-Click Amazon FBA Labels for Thermal Printers
In 2017 I was selling products on Amazon on FBA, and printing labels for the products took forever. I built AZLabels so that I and other Amazon Sellers could easily and quickly print the labels they needed.
Share cardActual performance
42followers
$1,221MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch →84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
On
One-click autoscaling of Amazon DynamoDB43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
One-click autoscaling of Amazon DynamoDB
Wa
WalletLabels – Turn anon Ethereum addresses into understandable labels43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WalletLabels – Turn anon Ethereum addresses into understandable labels
Thingy34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Smart labels for your thingies
ZILLA
Amazon for ICOs
Hi
Hive on MR3 on Amazon EKS with Autoscaling47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hive on MR3 on Amazon EKS with Autoscaling
I
I bought and tested the filtration of every mask on Amazon51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I bought and tested the filtration of every mask on Amazon
Wi
WishBin – Superpowered wishlists for Amazon47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WishBin – Superpowered wishlists for Amazon
Wi
WishBin – Superpowered Wishlists for Amazon47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WishBin – Superpowered Wishlists for Amazon
Bakeazon63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The amazon of baking supplies!
Knockoff54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Amazon, without the knockoffs