Alphabet Crushes Estimates; Foxconn Staffs Up For New iPhone; Microsoft Building 2 New Xbox Consoles; YouTube Tests Explore Feature

Google parent Alphabet reported financials yesterday, with a nice beat of Wall Street expectations. According to reuters.com, expenses from Google search didn’t grow as much as expected, which pushed profits up. Their operating margin ticked up from 22 to 24%, excluding the $5 antitrust fine from the EU…which appears like a rounding error. Alphabet hauled in $32.66 billion second quarter, 86% of which came from Google advertising, and beating the estimate of $32.17 billion. Alphabet still trails, Facebook, Amazon and Twitter in valuation, but is in the hunt. Apple still leads in the quest to be the first billion dollar company.

Foxconn is getting ready for the next generation iPhone by offering bonuses to workers who renew their contracts. The $295 bonus and hiring campaign will extend through this November. Macrumors.com reports that Foxconn is expected to assemble the majority of all 3 new iPhone models…the 2nd generation iPhone X, 90% of the iPhone Plus (or whatever Apple ends up calling it), and about 75% of the lower priced 6.1 inch iPhone with the LED screen. All 3 phones are expected to bow in September.

Microsoft is already hard at work on the next iteration of the Xbox console. in addition to the traditional version, Redmond is apparently working on a cheaper ‘streaming box’ designed to work with its previously reported streaming service. The streamer is code named ‘Scarlett Cloud’, and would run games both locally and in the cloud…which has been dubbed slice or splice. The idea is to help reduce latency. Geekwire.com reports that Sony, EA, and Nvidia are also working on cloud based game streaming services.

In the ongoing quest to grab and hold more eyeballs, YouTube is testing out a new feature on around 1% of iOS YouTube app users the next several weeks. Thenextweb.com says it’s an explore feature, similar to the Instagram Explore tab…and the idea is to help users discover more videos and content creators that may be lost in the thousands of others. Personalized recommendations will be based on the user’s previous viewing history.