Or perhaps require webcam and do eye tracking?

Is there a way to detect this approach?

Comments URL: https://news.ycombinator.com/item?id=46799402

Points: 24

# Comments: 30

Is there something like a market maker to help provide liquidity?

Is it setting probabilities/prices using something like black-scholes?

How would you design a very simple prediction market MVP?

Comments URL: https://news.ycombinator.com/item?id=41950192

Points: 7

# Comments: 10

But not sure how applicable to agencies it is so YMMV.

A few months back I started experimenting with LLMs as a way to estimate calories/macros and give useful feedback. The results were good enough that I felt like something was there. I wanted to shed a few pounds so I built out a web app for myself. A few friends tried it and everyone said "this needs to be a native app".

So I converted the Rails app to just be an API backend and built an iOS app in SwiftUI. It just got approved in the (US) app store last week.

https://apps.apple.com/us/app/fatgpt-ai-weight-loss-coach/id...

Feature-wise it's pretty simple compared to MFP or Noom. But I've been logging my food every day for a while now and am down 12 pounds.

It's been really fun to build and I'm trying to release a new version every week.

Happy to hear any feedback or answer questions.

Comments URL: https://news.ycombinator.com/item?id=40324510

Points: 1

# Comments: 0

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

https://www.fatgpt.ai/

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.

Here's a pro tip + feature you should implement: Shopify has a semi-hidden hack where you can link directly to checkout of a product if you know the variant ID. You could add a BUY NOW button to your site without forcing the user to navigate the original site or checkout flow. Example: https://hapaboardshop.com/cart/42165521907955 (it also supports quantities and coupon codes)

A word of caution: more products isn't necessarily better. I definitely found there to be a long tail of really bad shopify stores and products. IMO it's better to curate or audit the stores you index–otherwise you risk your site being littered with kitchy t-shirts or drop-shipping garbage.

I think you could get consumers to subscribe to discounts/deals at nearby restaurants and I think you could get restaurants to offer discounts one-time or during non-peak days/times. I tried to do this in the past using card issuing services (like Stripe's) but it was clunky with debit cards. The ability to do this via credit would make this a lot easier.

I live in a California town called Arroyo Grande ("big creek")