TranslateitApp-Save, Simplify and Translate Web Content

Hacker News

Hi HN! I’m excited to share my latest project, TranslateitApp! This app allows users to bookmark, simplify, and translate web content quickly and easily. Features include: One-Click Bookmarking Readability Optimization Instant Translation Permanent Copies of Bookmarked Content Supported Languages: English, German, Spanish, Italian, French, Dutch, with more to come. Pricing: $68.99 per year for unlimited access. I'm looking for feedback from the HN community on the concept, implementation, and potential improvements. Any thoughts or suggestions are welcome! Here: https://translateitapp.com

Visit product View on Hacker NewsAug 29, 2024

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Actual performance

2points

Did not reach leaderboard

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

76%76% 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.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

46%46% 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

45%45% 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.

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

14%14% 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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