I appreciate this example. This does seem like a pretty difficult feature to build de novo. Did you already have some machine vision work integrated into your app? How are you handling machine vision? Is it just a call to an LLM API? Or are you doing it with a local model?
'Musk told political strategist Mark Penn in an interview broadcast on X that the $2 trillion figure was a “best-case outcome” and that he thought there was only a “good shot” at cutting half that.'
'That figure was quickly dismissed as implausible by budget experts, who said the entire discretionary budget was only $1.7 trillion. Musk hadn’t waved people off the number until Wednesday, and it has been widely cited in reports about DOGE’s plans. '
It's definitely not a ghost town. It's just not a treadmill. It's hard to have a conversation on hacker news because (1) articles cycle through quickly and (2) you don't get reply notifications. Lobsters is a bit more human scale IMO.
$100 / hour * 100 hours
to
$100 / hour * 500 hours
not to
$500 / hour * 100 hours