Looks solid but you should really have a text to download button on your site. You will never outrank Dead Trigger or any other shooting game for that matter.
@ryandawidjan@taylorscobbie Ryan is right on! Or you can use Twilio (much cheaper). I'm extremely tech savvy and it took me 15 minutes to download your app...that's not a good sales funnel.
@fighto Hi Paul,
Glad you like it. We are adding sources daily. With categories, we try to balance the overall experience.
Try the Spotlight tab, it's in effect a different type of categorization.
I've been waiting for this kind of app to come around for a while!
Excitedly clicked the link, and realised it was iPhone only.
*sigh*
Android app coming soon?
Hi everyone, I am Jimi.
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 "anti-social" discovery feature 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.
@eriktorenberg Hey Erik! Is it a cop out to say "acquiring a million users"? I'd say one of the primary challenges we've faced is localising our product and marketing to different markets. We're a multicultural team based out of Taipei and targeting both Asia and North America. There are unique cultural differences that really change how you need to think about things; some you'd never expect. Even something as simple as our value proposition and how we talk about it looks really different depending on who we're talking to. It's been a great learning experience though, because the discussions we have about localising the product feed back into the design and (we think) make the experience better overall.
Hey guys! We're so excited to have our just-released Version 3.0 of Trigger featured up here on Product Hunt once again. If you have any feedback or questions please don't hesitate to ask.
@aaronmckeehan Thanks! We definitely think there's something to be said for having content sooner rather than later. We're the kind of people who love reading something cool first so we can go pretend to our friends that we're super awesome and knowledgeable. Having stock news first might actually make you some money... what we do just annoys our friends. Hey, we'll take what we can get. :)
predicting what is going to be popular is a game changer. But it is not clear, how you have achieved this or are planning to achieve. Could you tell us about some news your algorithm predicted is going to be popular and in fact that news item did become popular?
hi @sridhar_kondoji Hindsight is 20/20. It's easy to "predict" the past, of what has trend(ed). But it's harder to forecast what will be trend(ing) into the future, and it gets harder as one forecasts further into the future.
A trend is inherently social. However, I believe most trend calculations are a posteriori. There exist plenty of of a priori knowledge we can exploit to forecast trending articles both more accurately and at earlier time instances.
I like to make the analogy:
an article in various social channels
is just like
sound in acoustic space reflect and produce reverberation.
An experienced audio engineer knows what type of room he is in with minimal cues.
Trigger estimates the channel modelling parameters from the very early signals of each article. These signals help us formulate a space that the article is in. From this model, each article's behaviour is better predicted. It is this channel modelling that differentiates our forecasting to require less sample points and smaller critical mass, i.e. 49 minutes before it starts trending.
@jimiwen I like the analogy. So, priori is still a driving factor here. Say for example if there is totally a new phenomenon with no previous existence and it is slowly catching up in social space. Will your platform be able to detect this and give us heads up 49 minutes before? I am curious, how did you come up with 49 minutes number.
Here is my feedback. Given the type of artciles/videos/images that go viral, your platform will definitely be able to detect this early on and give your users heads up. Good luck with this experiment. If successful, this can be a trend setter.