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How to avoid paywalls with Google Translate

Hacker News

How to avoid paywalls with Google Translate

Paywalls are annoying in daily browsing (more in the weekends and mornings!). https://archive.is/ is great but one thing I noticed is that not play nicely with content extraction services such as https://getpocket.com/ and I think it is more about Pocket recognizing the Archive Today service than other thing. Google Translate is an alternative that currently works with content readers. Basically the hack is to just not use the translation at all putting the same language in the language origin and destination.

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TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos
52%52% 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: io · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
49%49% 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
34%34% 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
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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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