The Instagram-only spin makes the stack much simpler. So for now it's an entirely independent stack. Think Nitrogram as a full scale experiment to discover whether or not targeting subparts of our addressable market might get us to product-market fit.
We will merge back a lot of stuff we built for nitrogram within teleportd very soon.
After that, depending on how things go we might even merge the two stack together to enhance teleportd results with more instagram materials and enhance nitrogram search with non-hashtag search!
Make sense?
That makes sense, thanks!
Efficient analytics over large bodies of pictures gathered from Twitter and Instagram hashtags requires heavy-wrangling of real-time feeds, which is exactly what the back-end of Teleportd does.
So my uninformed guess would be that the (very cool) deep data technology deployed for Teleportd powers Nitrogram's backend as well.
That was a very educated guess. But we went off with an entire new stack here to focus on instagram integration. But as I was saying this will get merged back at some point into teleportd's main stack!
And I imagine you could add direct integration of Teleportd features right into Nitrogram, helping marketers make sense of "real world" use of their products in the wild.
Very interesting perspective!
Teleportd is almost perfectly realtime, while Nitrogram is near-realtime (~1h) but more focused on computation of aggregated stats.
The embed techno is the same.