Cloudinary Blog
Once a Hackathon Participant, Now a Judge

Over the past several years, I've had a chance to participate in hackathons, as part of teams that developed a social payment app and helped users decide meals to cook. But it wasn't until last month that I got to experience a hackathon from the other side, as a judge.

The event was the Women Who Code Silicon Valley Hackathon 2018, which took place on September 29 at Google headquarters. Cloudinary, along with Flutter and Pluralsight, sponsored the hackathon, which required participants to use the Flutter platform as the basis of their projects.

When one of my colleagues - who is active in Women Who Code – had a conflict that prevented her from attending, she asked me to step in for her. I was excited because this was the first time I've had the opportunity to do something like this, and was looking forward to watching participants create interesting projects from scratch, then present them to us.

Women Who Code Silicon Valley Hackathon Judges

The hackathon kicked off around 8 a.m. I got there later in the day for the judge's meeting, where we talked about the criteria we would use to evaluate each of the projects. Not long after that the project presentations started. There were so many interesting ideas - from apps that helped you remember to water your plants and connect volunteers to organizations needing help, to others for dating and finding music that fits the users’ moods based on a photo of their face.

I anticipated it would be hard for the judges - who were a mix of project manager and developers - to agree on the top projects. But to my surprise, we all quickly agreed which ones rose to the top - they just stood out, based on their use of Flutter, the design and the technicality.

The winning projects were:

1st Place - Team Acorn.

1st Place - Team Acorn
This team developed an app that enabled users to input a word, then learn how to say it and better understand its context. Throughout the week, then, the app would remind the user of the word, to help support recognition and understanding of the language. The team had never used Flutter before, and they did a great job integrating it into the app. They also had an impressive user interface and were able to integrate it with other APIs. We were impressed, too, with their vision for the future, which entails adding AI, so the app could suggest additional words that the user may also want to learn.

2nd Place - Memage.

2nd Place - Memage
Using Cloudinary’s Amazon Rekognition and Flutter, this team created an app that enabled users to take a picture of an object, then do a search for that image as a meme and get funny quotes. Of all participants, this team probably integrated the most technologies, leveraging the camera piece of Flutter, Cloudinary for managing images and a database for looking up memes.

3rd place - SayCheese.

3rd Place- SayCheese
The SayCheese app was a really cool concept, which enabled you to play an audio clip (one that you downloaded or recorded) that makes the subject of your picture look toward your phone before you snap the shot. In their example, they used a dog barking, so a dog would be enticed to look at the camera. The app integrated the camera with an audio library.

Honorable Mention - Team Happy Hour.

Honorable Mention- Team Happy Hour
This team developed an app called Beer Me, which let users choose from a list of their favorite beers, then be notified when that beer came on tap at a bar near them. While I still question whether this is doable - since you'd need to get involvement from a lot of bars - the concept was great. They integrated Flutter for notifications with Google maps to help users find the location of their favorite beer.

The four top teams were awarded some cool swag – Google Home Max, Google Home, and Google Home Mini devices.

Being a judge, and watching the process from a different perspective was fun and inspiring. It was an honor to see the great ideas and meet the teams who developed them. More importantly, it motivated me to participate in more hackathons to learn about new technologies while exploring my creativity.

Recent Blog Posts

Auto-Generate Video Previews with Great Results Every Time

If you are an avid YouTube viewer or a Netflix binger, you might have noticed some fascinating changes in their latest preview thumbnails. They sure are attention grabbing, aren’t they?

Video previews are becoming more and more popular, not the least because they entice viewers, attract clickthroughs and, more often than not, gain a happy and loyal audience. Problem is, the task sounds like an art in itself. Just how can you go about creating appealing video previews without having to rely on movie professionals? Have you ever wished that you could quickly create video previews like those on YouTube and Netflix, but still rest assured that they'll include the good stuff?

Read more
Hipcamp Optimizes Images and Improves Page Load Times With Cloudinary

When creating a website that allows campers to discover great destinations, Hipcamp put a strong emphasis on featuring high-quality images that showcased the list of beautiful locations, regardless of whether users accessed the site on a desktop, tablet, or phone. Since 2015, Hipcamp has relied on Cloudinary’s image management solution to automate cropping and image optimization, enabling instant public delivery of photos, automatic tagging based on content recognition, and faster loading of webpages. In addition, Hipcamp was able to maintain the high standards it holds for the look and feel of its website.

Read more
New Image File Format: FUIF: Why Do We Need a New Image Format

In my last post, I introduced FUIF, a new, free, and universal image format I’ve created. In this post and other follow-up pieces, I will explain the why, what, and how of FUIF.

Even though JPEG is still the most widely-used image file format on the web, it has limitations, especially the subset of the format that has been implemented in browsers and that has, therefore, become the de facto standard. Because JPEG has a relatively verbose header, it cannot be used (at least not as is) for low-quality image placeholders (LQIP), for which you need a budget of a few hundred bytes. JPEG cannot encode alpha channels (transparency); it is restricted to 8 bits per channel; and its entropy coding is no longer state of the art. Also, JPEG is not fully “responsive by design.” There is no easy way to find a file’s truncation offsets and it is limited to a 1:8 downscale (the DC coefficients). If you want to use the same file for an 8K UHD display (7,680 pixels wide) and for a smart watch (320 pixels wide), 1:8 is not enough. And finally, JPEG does not work well with nonphotographic images and cannot do fully lossless compression.

Read more