Si

SimpleSearch – Just a list of search bars

Hacker News

SimpleSearch – Just a list of search bars

I made this site for myself, SimpleSearch.info, as new default browser page. I’m not sure if it actually _saves_ time or clicks (though, for me, it saves at least one click per search), but I find the search experience more pleasant. On desktop, it’s nice to just have these search bars as the first thing that pops up in a new window or tab vs clicking bookmarks in the toolbar or elsewhere then searching. Similarly, on mobile, I like just clicking on one icon for all my searches. The vast majority of my web browsing begins with a search or LLM query. I’m curious if this is helpful to anyone else and if there are any additional features I might add to make it more useful. Thanks!

Visit product View on Hacker NewsJan 26, 2025

Actual performance

31points

30comments

Made the leaderboard

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

88%88% 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.

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

57%57% 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

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.

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

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

36%36% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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