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I made a manga critique site with professional Japanese manga editors

Hacker News

I made a manga critique site with professional Japanese manga editors

Hey guys, I’m Sean founder & CEO of M2W. We made an AI editor for manga creators worldwide. Manga creators work solo or duo and can’t get critical feedback from public, but editors are too busy and expensive to hire. So we made this AI editor with manga editors who used to work at major Japanese manga publishing firms. As a result, creators can get reliable feedback in minutes to reiterate and make their works better at the earliest stage of creation. This will lead into us becoming publishers ourselves and be able to pay the creators a larger share of revenue than it is now. Currently the creators only get 8-10% of the sales of manga when serialized with other publishers. And if that spins off to anime/merch/games/etc. they get only few percent and sometimes even none. I will leave link here so you guys can check it out and feel free to give me any feedback or questions. https://m2w.ai/ I know most of you are not manga creators but we also have story builder function so you guys can create your own manga story as well. Would truly appreciate it if you guys can share to manga artists nearby struggling to get published. Thanks!

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66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit
20%20% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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