callmeed
Joined 18 years ago
Joined 18 years ago
Or perhaps require webcam and do eye tracking?
Is there a way to detect this approach?
But not sure how applicable to agencies it is so YMMV.
If I needed more dense data viz (ex a datadog-like system) I'd probably go with something D3 based
Aside from the obvious question of "how are you different/better?" I'm most curious to know why you're going so broad initially. You've got everything from legal to devtools to gaming. Seems like the opposite of a wedge/beachhead approach. Why?
Regarding the monthly scale mentioned in article–we are way beyond that now.
A lot of really smart people worked on this and it was fun to watch unfold.
- In my chipotle bowl, it can tell if I had brown rice vs white rice
- In my In-n-out, it can tell if I got it protein style
It struggles with accurate weights/volumes but I'm excited about where this is going.
1. Analyze calories/macronutrients from a text description or photo
2. Provide onboarding/feedback/conversations like you'd get from a nutritionist
My stack is Ruby on Rails, PostgreSQL, OpenAI APIs. I chose Rails because I'm very fast in it, but I've found the combination of Rails+Sidekiq+ActionCable is really nice for building conversational experiences on the web. If I stick with this, I'll probably need a native iOS app though.
Vendor stack is: GitHub, Heroku (compute), Neon (DB), Loops.so (email), PostHog (analytics), Honeybadger (errors), and Linear.
My hypothesis is that, if you could drive traffic to your site and offer a fast checkout experience, there's probably multiple ways to monetize that. Driving the traffic is the hard part.
Location: San Luis Obispo, California
Senior Engineering Manager at Indeed
(previously Interviewed.com YC S15)
Ruby, Rails, iOS, Javascript. I also like to take pictures and cook food. Opinions expressed here are mine (and probably wrong).
Get in touch:
twitter/Github/Instagram: @callmeed
erik[dot]dungan[at]gmail[dot]com