Product categorization for online stores

Product categorization for online stores

Indie Hackers

Product categorization for online stores

The goal was to utilize the knowledge of AI in this area.

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
53%53% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% 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
23%23% predicted probability of success on BetaList, 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.

Correct prediction on native model

Similar products

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My 3rd Online Product Ever50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My 3rd Online Product Ever

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MAPMERCE
MAPMERCE61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover online stores around the world

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CryptoShare – Encrypt what your app stores on Dropbox60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CryptoShare – Encrypt what your app stores on Dropbox

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Prolinky
Prolinky68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create online stores with your links

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Find the best stores selling a product58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the best stores selling a product

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EU
EUXD, best UX practices for online stores53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

EUXD, best UX practices for online stores

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Thrift
Thrift60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Marketplace for Thrift Stores

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Kickback
Kickback32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get cashback at your favorite stores.

Indie Hackerscommitment-full-time
Merchant Floor
Merchant Floor63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI tools for indie online stores

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I made a pastebin that stores its contents in the URL59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a pastebin that stores its contents in the URL

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