Wikipedia search chrome extension

Hacker News

Started picking up Javascript this weekend (using the awesome tutorials at codecademy.com :) ), and created this simple Chrome extension that lets you search Wikipedia from the address bar (eg, to search for olympics, gotta type 'w olympics'). Thought I'd share it in case there are people out there who are as lazy as me :) It's at https://chrome.google.com/webstore/detail/nipjlcehkkalkjldekmkcaeeacmnhdee P.S. I know chrome already lets you do that by entering the Wikipedia url and pressing tab, but saving a few extra strokes' gotta be helpful right? haha

Visit product View on Hacker NewsAug 6, 2012

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

67%67% 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 HuntUnlikely to reach the leaderboard · Strong signals: google, using, code · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% 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

42%42% 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

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%16% 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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