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Hooked has reached 50MM readers in the past year and has hit the 1 spot in the App Store in 25 hookdd, including the U. Hooked is already profitable and has consistently been a top grossing app. We've produced viral videos reaching over M views.
This gives us unprecedented insight into which stories are working and which are not, as well as potential problems areas.
With this scale comes many interesting scaling challenges, from the de of the application server and APIs that support our mobile clients, to the optimization of database schemas and queries. Open the Mac App Store to buy and download apps. Projects you might work on Create a recommendation system that provides personalized recommendations to users by leveraging the data generated by hundreds-of-millions of stories being read.
You will push work to production that will impact tens of millions of users. We've produced viral videos reaching over M views. Users are holked charged a fee for unlimited access to stories on the app. Build open state-of-the-art TTS systems wavenet etc to create TTS system that takes into the semantic context for the line.
Instead of flipping s, readers tap their screen to read the next text message in the text conversation story. HOOKED allows readers to write their own chat stories, which can be shared with friends, or write a.
Culture — A note about how we work. Overview[ edit ] The app is deed to accept stories from users and professional authors. In sum, how and when you work is largely up to you.
As the of stories in the app grows, as well as the diversity of our user base, it becomes increasingly important to provide personalized recommendations to our readers. Hooked has reached 50MM readers in the past year and has hit the 1 spot in the App Store in 25 countries, including the U. 54 hookedstories Text Chat Stories app - not official.
Technical Challenges Hooked reaches over 50 million readers a month. What emotion needs to be conveyed?
At the hooker time, this is a fundamentally creative pursuit. Create a real-time analytics platform that allows us to visualize the survival curves how readers get for each story.
Depending on the nature of the task, this might include discussing with the Lead Product Manager and Deer. Every HOOKED story is told in bite-sized, text message format. For the rest of the catalog we have experimented with text-to-speech systems but have found the more comical than convincing. For our top stories we work yooked actors to create audio versions of our story.
We then brainstorm and de specific features or projects. The first part of the chat story.
This would be segmentable by various attributes such as date, country, platform, and various other user attributes. Opportunity — This is an opportunity for you to a high-growth, venture-backed startup in the early days and be a core part of the founding team. For this reason, we primarily work remotely.
These insights are used to drive our entire content development process. How can this be done at scale?
You will then work on your own to prioritize and implement your tasks, with periodic check-ins with other members of the team. After the de phase, the task will be ticketed. The Watcher - Hooked Full Chat Story hooked stories. People are at their most productive and creative when they are hookes and in control of their own schedule. Hooked processes hundred of millions of data points — every time a user taps to read a message, we collect this information.
It would need to be able to handle hundreds of millions to a few billion data points. Image: Unsplash. Of course, certain things are best wtories in person. As we continue to grow, how do we efficiently scale these data pipelines and use them to create data visualizations that clearly and efficiently communicate to our content team?
We are a small team with a huge footprint. Hooked is already profitable and has consistently been a top grossing app. Can we condition on this to guide the TTS system? Hooked hoked. This is only possible because we all share an intrinsic motivation to crack the code on mobile storytelling.
We empower engineers to take ownership and responsibility of their work. We have an office in the Mission district of SF where we meet a couple of times a week. Tech stack. We use Pivotal tracker for this.
We typically start by discussing overall objectives for the next several weeks. addictive chat stories. We strongly believe in work-life balance. The system must be fast, scalable and support testing different candidate recommendation algorithms.
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