Here at Trigger we're all ravenous consumers of information. We really love some of the existing app solutions but we noticed a few drawbacks. The majority sacrificed timeliness for social relevance or depth. We often got our news later than friends who weren't using aggregators! We also found ourselves living in an increasingly small filter bubble because many of these apps were defining what we'd be interested in by what's popular in our social graph. Trigger is our first attempt at addressing these problems. We hand curate sources (to ensure quality inputs) and use a predictive algorithm to bring you news before it starts trending.
We've also got a kind of cool "extra-social" discovery feature OVERLOOKED that finds the most interesting things your social graph ISN'T reading.
We'd love if you'd check us out and let us know what you think over at itunes.apple.com/us/app/id968265755
There is a difference, with the structure of private subreddits, we felt there is rigidity and for Reddit it is for ONE group of users and topic.
Trigger is mobile-first platform, where we try to make the individual or multiple groups as fluid as you would do in a normal conversation, and everything organised by topics.
Trigger uses Reddit-like structure but in for your private discussions. So it provide more organisation to your conversations, or currently messaging apps.
Things are easier to find, you can have much better flow with all the conversations.
Yes we are testing out your suggestion of descriptive line "a topic-based messenger that organizes all of your conversations." vs more catchy Reddit derivative.
Hi WandH, I am jimi one of the co-founders of the Trigger team. Trigger is a messenger that allows you to base your conversations on topic. It's a more powerful for organisation and elegant way of doing IM.
Better conversations start from the trigger topics to friends to keeping up every single conversation.
I am jimi one of the makers for this app. We want to create a different form of communication/messaging where the sender-recipient relationship is fluid but conversations can be organised intuitively.
Would love to get any feedback? and would try to answer any questions you have?
With regards to the automated aggregation vs human powered filter, I would assume email, messages, dm to be closest/most related filter borderline "filter bubble", i.e. human black-box vs white box filter...
what is the mix of sourcing for blogs/article one consumes each day?
in the balance of public and private, production and consumption, monologue and conversations...
how can we design for better signal-to-noise ratio? like a good sound engineer putting the right amount of compression and reverb to sit in the mix as intended.
We've also got a kind of cool "extra-social" discovery feature OVERLOOKED that finds the most interesting things your social graph ISN'T reading.
We'd love if you'd check us out and let us know what you think over at itunes.apple.com/us/app/id968265755