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Taggy – Generate trending texts based on the content of your photo

Hacker News

Taggy – Generate trending texts based on the content of your photo

What can you do with Taggy? Find the right phrases and keywords for your posts. Increase the visibility of your content on social networks. - Generate custom captions and quotes based on the content of your photo. You can add or remove hashtags and keywords to generate new texts. - Easily copy the text with the hashtags and use them in your publication. - Edit and download your optimized photo adapted for social networks. How does it work? We use AI to detect and classify the keywords of your photo. Then, we translate them into trending texts, topics and hashtags.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
46%46% 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
41%41% predicted probability of success on Indie Hackers, 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% 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
21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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