I made an app to make it easier to use Google image search

Hacker News

I think Google image search is great. It helps you find out where a particular image comes from and sometimes images related to it. Some forums use attachments and you can't necessarily see if you aren't logged in, and that Google can't access. You have save this image and then upload it to Google. Sometimes you also have images in power point or word documents that you wonder where they came from. Most every OS has some sort of print screen functionality to easily capture pictures from any application or even from a movie. In Windows its print screen or alt+print screen if you want to capture a single window. I wrote a small web app that allow you to paste an image and crop it so you can search for that part of an image. It stores the image in memcache so you don't need to worry about the image being stored well except by Google. It only works on chrome and Firefox since AFAIK the other browsers seem to have issues with copy and pasting of images. http://gimagesearch.com

Visit product View on Hacker NewsMay 15, 2013

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Launch Intel predictions

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

81%81% 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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, 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

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% 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

13%13% 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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