AliTools Trends

AliTools Trends

Indie Hackers

Find new and trendy products to resell.

AliTools has lots of data about AliExpress products for free. It's easy to make something valuable for retailers from this waste amount of data.

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
49%49% 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
41%41% 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
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: lua · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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Your shortcut to trends, products, and deals.

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Trying to identify next emerging trends for affiliate products37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

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Hackerbuzz – Simple HN trends45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

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Keep track of the emergence of new trends and hypes before e

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Hypewatching – crowdsourced, geolocated trends around the world39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hypewatching – crowdsourced, geolocated trends around the world

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