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Buscador – extension for searching of selected page part

Hacker News

Buscador – extension for searching of selected page part

This extension lets you select a portion of the web page and search for it on the Internet. With this extension, you can easily highlight and select any part of a web page that piques your interest. Want to know more about what you've highlighted? Simply hit the search button, and it will fetch you the links to the web pages with the relevant information. How to use it: 1. Simply click on the extension icon in the toolbar. 2. The webpage will slightly dim, allowing you to draw a rectangle to mark the specific portion you're interested in searching for. Get creative with your rectangle! 3. Now, just click on the "Search" button. 4. If there's relevant information related to the portion you've selected, it'll be displayed for you. To learn more about your target, just visit the interesting link by clicking on the provided card.

Visit product View on Hacker NewsOct 15, 2023

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% 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

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

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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