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Paytm launches messaging product, Inbox. Will you use?

Patym has launched Inbox, chat messaging feature on the Paytm app (currently on Android only).

The service will allow users to chat with friends and family, send and request money at the same time.

The platform is encrypted end-to-end, and users can initiate private conversations and create group chats. They can also send photos and videos instantly, share live location, capture and share moments with the built-in camera,”. The platform also allows users to recall their messages (a feature WhatsApp launched 2 days back) using ‘Delete for All’.

Given that WhatsApp is testing WhatsApp Business feature and will soon roll out UPI based payment, will Paytm Inbox cut the deal?

Is there a use-case?

Will you chat with friends on Paytm? Why?


Is this a game changer?

Ashish Sinha adds: The biggest use-case that Paytm can bring is communicating with sellers and enabling the negotiation feature – but then, that involves rethinking the marketplace model.

Plus, what Paytm can bring to table is online ordering – for e.g. I always pay the sabziwala using Paytm. Why don’t I just message him what I need / pay via chat…and voila! We are done.

I hope Paytm is playing a deeper game and not just adding this feature for the heck of positioning itself as WeChat of India.

In its current form, it looks like a wannabe product and WhatsApp has already taken away the thunder of ‘message recall’ feature, which I believe was supposed to be one big launch differentiator.

By the way, is Neeraj Arora of WhatsApp still on Paytm board? This is a very serious competitive thing going between Paytm and WhatsApp.

How Spotify uses machine learning to help you find your new music

The science behind personalized music recommendations!

Spotify actually doesn’t use a single revolutionary recommendation model—instead, they mix together some of the best strategies used by other services to create its own uniquely powerful Discovery engine.

To create Discover Weekly, there are three main types of recommendation models that Spotify employs:

  1. Collaborative Filtering models (i.e. the ones that Last.fm originally used), which work by analyzing your behavior and others’ behavior.
  2. Natural Language Processing (NLP) models, which work by analyzing text.
  3. Audio models, which work by analyzing the raw audio tracks themselves.
Image credit: Chris Johnson, Spotify

source

[This is a #curated article.]

The #ProductGeeks Conf is now open for speaker nominations

Ladies and Gentlemen:

NextBigWhat’s upcoming conference, ProductGeeks Conf is scheduled for Jan 19th & 20th (2018) in Bangalore and the conference will bring a lot of deeper insights/ connects into the world of products; with specific focus on emerging tech like AI/ML and others.

We are now open for speaker nominations. So if you think you bring fresh perspective – please go ahead and apply (use the application form below). You will hear from us very soon on the next steps.


Date: Jan 19th, 20th [2018]
Venue: Hotel Park Plaza, Bangalore (Marathahalli).
Event agenda/url: events.nextbigwhat.com/prodgeeksconf
Discounts anyone?

Grab the super early bird discount (Ticketing URL). The discount code is NEXTBIGWHAT (you get 40% discount)

Agenda / Speaker details: We have put up a draft agenda here. As with any NextBigWhat conference, expect deeper content and lots of actionable insights.
Who should attend this? If you are into products, you should.
If you need perspective around scaling / marketing / product management / emerging tech (like AI / ML) to emerging opportunities like Bharat, you should be attending ProductGeeks Conf.
What you won’t get here? Gyaan / Talks around entrepreneurship/startups. THis is a conference of DOERs and for those who aim to build great product business from the country.