That’s why Singhal always finds himself dishing out the same piece of advice: You need to craft a product team to match the phase of your company. Driving roadmaps and getting more strategic are important problems that will exist someday, but in the earlier stages it’s more about getting the trains to run on time.” “Other times, they try to hire the product team of the future far too early. “Founders often fail to take the necessary steps to deliberately scale the product function, and then the wheels start to fall off when hypergrowth hits,” says Singhal. Underneath each of these issues are minefields that could trigger any number of missteps. Taking advantage of that expertise, founders and product leaders at companies big and small bring him their toughest questions: When should founders hand over the product controls? What should you look for in a PM? How do you structure the team? How do you balance strategy and innovation with execution and predictability? He then settled in for a stint at the tech giant, launching Hangouts and assembling the product team for Photos before taking up the reins at Credit Karma, where he oversaw the launch of a half-dozen new product lines and grew the product team from 10 to 75 people in four years. He co-founded three startups: one that failed, one that got acquired by IBM, and one that was scooped up by Google in 2011. That’s because, whatever stage your company is in, Singhal makes for a perfect sounding board. Apart from time spent weighing options for his next adventure (and a much-needed Alaskan cruise vacation with his family), he’s been advising folks at every end of the startup spectrum, from scrappy early-stage founders to heads of product at some of the biggest unicorns. The application is free, but an in-app subscription is necessary to remove watermarks, export in very high resolution, and any new features to come.Since leaving his post as Credit Karma’s Chief Product Officer this past summer, Nikhyl Singhal has kept busy. And it also allows me to have an application that is rather aggressive from a price point of view, because I have no server/cloud costs. This feature is set to evolve and improveĪll this allows me to have an application that is very fast on processing (no network latency due to uploading and downloading photos on servers on which processing is usually done). Finally, it has a Magic Split feature (the magic wand in the application) which allows you to identify several objects present in a photo and to cut them out one by one in order to place them each in a separate layer. It's a shame that most apps use cloud technologies when our phones have never been so powerful. Machine Learning models (based on CoreML) are also embedded in the app (which explains its fairly large size).
It runs entirely locally using Apple technologies. Thus, HyperPhoto does not require any registration, does not rely on any advertising framework, or tracing (no FireBase or Google Analytics) As with most of my other apps, HyperPhoto respect privacy. HyperPhoto stands out from the competition on 3 points (for now 🤓)
#Hyper product hunt mac
A Mac / iPad version will also be on the program. A lot of new features and enhancements are already planned.
HyperPhoto is still in its infancy, and it will improve over time.
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