Add 'unbloq.us/' before any URL to see an archive of it

Hacker News

Hi! I made this open-sourced tool after seeing so many links to archive.pl in the comments under paywalled articles on HN. Now, if you open an article an it has a paywall, just type 'unbloq.us/' before the URL in your browser and get automagically redirected to the article on `archive.pl`! If there is not archive of it yet, it redirects you to a page that will automatically create one for you. Unfortunately, this takes a few minutes, but is still 100% automatic. If you see any bugs or have some ideas to contribute, please make a PR at https://github.com/leiDnedyA/unbloq.us ! examples: https://unbloq.us/https://www.theatlantic.com/science/archiv... https://unbloq.us/https://www.chronicle.com/article/the-surv... https://unbloq.us/https://www.nytimes.com/2025/05/29/well/ma...

Visit product View on Hacker NewsMay 30, 2025

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

75%75% 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 · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% 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

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

15%15% 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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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