The way I read it is they used ai as a coach and ai probably told them some variation of “it’s ok to exaggerate”.
However, this to me would be a red flag because they somehow try to blame Ai for misrepresenting their experience. So they can’t even take responsibility for that.
I used to do a lot of hiring interviews long before ai and this exact situation has happened many times. People have been added to some project doing x haven’t really done much or engaged in it. They then see you need someone doing x then they add it to their resume.
However, I do agree not being able to fully talk about a thing you have been working on and worse misrepresenting the extend of your involvement are red flags.
Has nothing to do with AI though. Also sounds a bit like they wanted to say: “Ai encouraged me to exaggerate a bit” which again just means they wanted to shift the blame which is another red flag.
I understand the scepticism here. For sure this app isn’t 90% accurate in any traditional sense.
One note, as someone who also built a calorie tracking app with ai as well as lost a good amount of weight with it: accuracy for calorie tracking doesn’t matter. You can honestly just detect if it’s a meal and return 600 cals. For most people the simple fact that they become aware of what they eat and think about their food in an ongoing basis will lead them to loose Weight.
Sticking to it is the hard part.
It matters a lot if you have specific macro goals. If you don’t want to lose muscle, it is important to eat high protein especially during a cut. And keeping fat and/or carbs low while doing this is quite difficult without accurate data.
> You can honestly just detect if it’s a meal and return 600 cals.
That's ridiculous. What signal would that provide to the user? Let's say someone who is eating double the portions they should be eating. How will this hypothetical app help them figure that out?
> For most people the simple fact that they become aware of what they eat and think about their food in an ongoing basis will lead them to loose Weight.
And you think people will " become aware of what they eat" by shooting a picture of their food with an app which always say "600 cal"? I don't think you thought this through.
Ha this is a really good point! I worked with so many different kinds of observability approaches and always fell back to traced logs. This might be part of the reason.
Yea I also like this system only problem I was facing with it was http read will lead to timeouts/lost connections. And task queues specifically have a 30 min execution limit. But I really like how it separates the queueing logic from the whole application/execution graph. Task queues are one of my favourite pieces of cloud infrastructure.
This is awesome and I will take a closer look! One question:
We ran into issue with using Postgres as a message queue with messages that need to be toasted/have large payloads (50mb+).
Only fix we could find was using unlogged tables and a full vacuum on a schedule. We aren’t big Postgres experts but since you are I was wondering if you have fixed this issue/this framework works well for large payloads.
My opinion. (Also as a German guy doing a similar thing).
On the first order no. The tariffs just announced are only on goods and are collected at the ports when you physically import them.
On the second and third order. What I think will happen is that the EU will mostly retaliate against US services. And then trump might counter retaliate against EU services. So I would start looking for customers outside the US.
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