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Quickly go to frequent URLs (browser addon)

Hacker News

Quickly go to frequent URLs (browser addon)

https://i.imgur.com/dgoKvYQ.jpg This is a tool to go back to often-used URLs quickly. There's 2 modes, Favorites, and History. Favorites are items you save by clicking the icons on the left. History searches the browser history so you can save favorites. History is only fetched when necessary, so it's fast. Type something to filter with a more precise search. Items are ordered by last visit date, most recent at the top. Some settings are configurable in Configure. https://addons.mozilla.org/en-US/firefox/addon/grasshopper-urls Grasshopper v1.0

Visit product View on Hacker NewsAug 18, 2022

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

56%56% 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 · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, 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.

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

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

nativeThis product was originally launched on this platform.

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

27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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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