Filecentral-AI powered cloud storage

Hacker News

Hi HN. I am jagan kumar Co-founder at Filecentral. We are a startup based out of chennai, India and we are building filecentral - It is an AI powered cloud storage platform that offers 50GB of Free storage for all users under our freemium plan. You can find the file or any information within the files by just asking our AI, It can summarize, answer your questions about the file and more, Our goal is to make handling large amounts of files less stressfull and more productive. Whether you're a professional, student, or just someone with a lot of files, We’re really excited about this journey and would love for you all to try it out, give feedback, and help us grow! Thank you for your support!

Visit product View on Hacker NewsSep 27, 2024

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Actual performance

5points

2comments

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, 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 · Strong signals: users · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% 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.

Correct prediction on native model

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