coffeejay

Performance Predictions | Mobile/Front-End Engineering Role| Atlanta, GA| FULLTIME| ONSITE/REMOTE WELCOME| Check out our flagship fantasy game: https://www.myprizepicks.com

Love sports? Attracted to the startup hustle? This might be your dream opportunity!

Performance Predictions has built a suite of sports fan engagement solutions over the last four years, including the ‘2016 Rookie of the Year’ according to the Fantasy Sports Trade Association. With our new flagship game PrizePicks, (www.myprizepicks.com), we set out to build the most fun, fast & simple fantasy sports game possible. Since graduating from Private Beta this October, the feedback has been overwhelmingly positive, our members love the format and we truly believe we’re pioneering what will become the biggest category in fantasy sports over the next five years.

We are looking for a team player to work with our product, marketing and retention teams. You will be responsible for developing and maintaining the PrizePicks mobile app as well as new and exciting application features.

* Proficient in React Native with some experience with frameworks like Ruby on Rails (We have an iOS app in the store, submitting Android to Google Play Store Q1 2019)

* Familiarity with Expo.io, Graphql is a huge bonus

* At least 2 years of relevant work experience, developing applications in React, React Native, Ruby on Rails

* Strong knowledge of Design Patterns, Object Oriented Design, Software Architecture, Systems Integration Concepts

* Experience with the design and implementation of REST APIs and services

Job details are listed at: https://angel.co/performancepredictions/jobs/483265-lead-dev...

You can email me, Jay Deuskar (CTO) at jay@performancepredictions.com

Thanks!

Yes, definitely, right now it is just opinions but we do want to analyze for actual sentiment (bullish vs bearish).

We're in the process of building a backtest for our ratings. We'll be writing about how they perform soon.

Agree with your point on the options spreads, but we wanted to gear our focus towards solely stock investments since that's the majority of the retail investor population.

You're right about AAPL being too expensive (back at $600) for the average investor and that's something we're beginning to focus on. We'd like to add more personalization so our recommendations take into account factors such as risk profile, age, account value, etc.

Again, our goal is to help less experienced investors make smarter investments over the long term and teach them "why" along the way.

Thanks for your feedback again! Definitely points we'll be taking into account.

Thanks for the kind words! Glad you find it useful. Shoot me an email at jay@capp.io if you ever have more feedback.

haha love the reference :)

We're pulling as much free data as we can but have plans to transition onto a paid data source as soon as we can.

Thanks for the feedback.

We're trying to serve the less educated investor so we take basic fundamental analysis and automate it while making the insights more accessible to someone who is less financially literate.

It's interesting that you bring up personalization too because we're headed in that direction with customizing reports and creating recommendations based on factors like risk profile, age, and retirement plans.

We'd love to chat if you have time. You can shoot me an email at jay@capp.io

It is meant for individual stocks as of now. We're hoping it serves pain points for retail investors who need some hand holding when it comes to investing smarter.

We're working on taking dividends into account since it is a huge factor when picking stocks.

Always.

Thanks for the catches. We're still refining our data sources so we'll look into these.

We're pooling a lot of disparate sources (Yahoo, Morningstar, NASDAQ, etc.)

This is very interesting - thanks for pointing it out. I think one way we're working on being competitive is the breadth and depth of our research. Rather than just fundamental data points, we're working on integrating more complicated queries such as 'What's the weighted average cost of capital for $AAPL'. We view it as a great opportunity for automation of financial research.

Thanks for the catch!

Still very early stage, so we're working on collecting more data. Meanwhile, you can inspect sales growth on the financials - ex. 'Income statement for $TSLA'. If you're interested, shoot me an email at jay@pennywhale.com we'd love to make you a free premium account.

Private datasets is brilliant, great idea. As of now, updates aren't available but definitely could be in the future.

We'd love to chat more and get some feedback! My email is jay@pennywhale.com

Thanks for the feedback!

We're definitely looking into interfacing with EDGAR as well as getting rid of the 'cashtag'. Mutual fund data is a great idea too - shouldn't be too difficult to tie in.

Fundamentally, PennyWhale is targeted at a different market. While Bloomberg is tremendously powerful, it's also very expensive. We think there's an opportunity for the retail investors here.

I've never seen a more irrelevant promotional video.

Very cool and creative. People need to stop getting butthurt on this site.