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Matt Kiserleft a comment
One of my favorite things about voting in-person is getting a "I Voted" sticker. In 2020, however, a lot of people will be voting by mail because of the coronavirus pandemic and won't receive their coveted proof of civic responsibility this year. So, I want to fix that. I bought 3,000 First-Class stamps and printed six thousand WTFJHT "I voted" stickers, which I'm going to mail to you for free....
Free "I voted" stickersFree, limited edition WTFJHT x "I voted" stickers
We're 50 days from the election and as an incentive to get you to vote, I've printed a few thousand limited edition WTFJHT x "I voted" stickers. They're free. Just fill out the form and I'll send you a couple. Feel free to share this with friends and family.
Free "I voted" stickersFree, limited edition WTFJHT x "I voted" stickers
Matt Kiserleft a comment
😱 Well, the site got hugged by Product Hunt today. All is well and things are working per usual again! Welcome back!
Current StatusThe political web's front page.
Matt Kiserleft a comment
🔥 Here there! Thanks for Hunting this, Joe. I want to provide some details about what Current Status is and isn't, and how it works. Current Status as a news aggregator, providing a consensus view of the top U.S. political news stories right now from a diverse cross-section of the news media ecosystem. I originally built this to help me source the news for the daily WTF Just Happened Today...
Current StatusThe political web's front page.
The consensus view of what the political web is talking about right now. Current Status relies on an editorially-responsible algorithm that considers the signals news editors send about a story's news value. Second, there's a human-in-the-loop. And third, Current Status is biased toward recent, highly-cited stories, with an emphasis on accuracy.
Current StatusThe political web's front page.
Matt Kiserleft a comment
Not sure there's much to discuss about this timeline other than OMG. Fun fact: this was built using the Algolia search API to retrieve all the paragraphs of text from the WTFJHT site, and then recompiled as a single page using a Jekyll generator.
The Trump-Russia Investigation: A TimelineEverything we know so far about the Trump-Russia probe.
Here's what we know so far about the Russia investigation into election meddling, collusion with the Trump campaign, Special Counsel Robert Mueller's investigation, and more.
The Trump-Russia Investigation: A TimelineEverything we know so far about the Trump-Russia probe.
The WTFJHT is a daily news podcast that chronicles the daily shock and awe in national politics. Listen in moderation. Brough to you by Matt Kiser and Joe Amditis.
The goal is to capture the most important news coming out of the White House in a digestable form.
WTF Just Happened Today (Podcast)WTF Just Happened Today (in Podcast form!)
Alexa, WTF Just Happened Today?Alexa is reciting the daily shock & awe in politics.
Matt Kiserleft a comment
👋 Hey PH! This is Matt, creator of WTF Just Happened Today, a newsletter logging the daily shock and awe in national politics. I'm super excited about this WTFJHT Alexa skill – not because it's awesome! But because it was contributed by @staringispolite, a community member that volunteered his time to make this! So rad. 👊 Simply ask "Alexa, W.T.F. just happened," and she'll give you the latest...
Alexa, WTF just happened?An Amazon Alexa skill for What The F**k Just Happened Today.
Alexa, WTF just happened?An Amazon Alexa skill for What The F**k Just Happened Today.
Matt Kiserleft a comment
Hey PH! Sharing a side project I spun to help capture the daily blow by blow happening in the news. This is my personal collection of some of the things I'm reading and seeing. I update it a few times a day and send an evening/afternoon newsletter summary. Let me know what you think!
WTF Just Happened, Today?Logging the daily shock and awe
WTF Just Happened, Today?Logging the daily shock and awe
Deep StyleUsing deep learning for artistic style transfer
Matt Kiserleft a comment
Hey PH, we created a solution for hosting and distributing trained deep learning models on using GPUs in the cloud. This is a demo showing how easy it is to use state of the art machine intelligence. If you're curious, learn more about it here http://blog.algorithmia.com/2016/07/cloud-hosted-deep-learning-models/
Colorize ItUse deep learning to colorize black and white photos
Colorize ItUse deep learning to colorize black and white photos
Matt Kiserleft a comment
Hey there, We trained a model using data science and machine learning to come up with an objective standard for what makes a GitHub README any good. This tool will recommend areas for improvement across four categories. Want to know more? Check out the blog post that explains how we made the model here http://blog.algorithmia.com/2016/04/github-readme-analyzer/
GitHub Readme GraderAn experiment to algorithmically improve your GitHub README
GitHub Readme GraderAn experiment to algorithmically improve your GitHub README
Matt Kiserleft a comment
Hey guys, I made a Slack channel for fantasy football news. Let me know what you think!
News Bot 4Slack + Fantasy Football news