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A browser extension to instantly switch engines and customize workflow

Hacker News

A browser extension to instantly switch engines and customize workflow

I enjoy collecting various search engines, but some of them lack support for GET/POST searches and switching between different search engines can be a hassle. So, I developed this browser extension that enables automated searching on websites that don't support GET/POST through simulated input and clicks. It also offers one-click switching between search engines. Additionally, it highlights the searched keywords on the search results page. Lastly, it allows cross-domain data fetching and displays the information in a pop-up layer within the current page. GitHub: https://github.com/hoothin/SearchJumper Give it a try. Love to hear your thoughts! Thanks!

Visit product View on Hacker NewsJan 17, 2024

Actual performance

5points

Did not reach leaderboard

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

82%82% 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 · Missing: mac, agents, macos

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

58%58% predicted probability of success on AppSumo, 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

35%35% 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

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

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

11%11% 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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