My

My Chrome Extension to view cached webpages

Hacker News

My Chrome Extension to view cached webpages

Hello everyone, I shared this little extension once in a comment and several people found it useful. It's a chrome extension that lets you view the cache version of a web page with Google Cache, Wayback Machine, or CoralCDN. The link to the source: https://github.com/dbz/webcache The link to the chrome store: https://chrome.google.com/webstore/detail/webcache/cmmlgikpahieigpcclckfmhnchdlfnjd If anyone has any feedback, I'd love to hear it. I'm a 20 y/o computer science student currently attending foothill college in Los Altos, CA and I'm a part-time pizza delivery driver! If anyone has any questions, feel free to contact me or post here. I'm on my phone about to board a flight so I may not answer right away, but thanks so much checking out my extension!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, google, computer · Missing: agents, macos, agent
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, 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
24%24% 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
18%18% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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