I Was Unlucky – DuckDuckGo to Google Fallback Firefox Extension

Hacker News

I think a lot of people from our community has the same experience as me. I tried using DuckDuckGo as my primary search platform a few times due to privacy concerns, but I always went back to Google because I wasn't satisfied with the results sometimes. To solve this issue, I created a tiny Firefox addon which adds a new button to my DDG search page called "I was unlucky" and if you click on that button, it redirects you to Google with the same search query. I found it very useful. I know you can do the same with appending "!g" to the query, but that's much more effort. :)

Visit product View on Hacker NewsJan 28, 2020

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3points

1comments

Did not reach leaderboard

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

89%89% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting

55%55% 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: io · Missing: https docs, excited, just released

44%44% 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 · Strong signals: google, way · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

35%35% 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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