anthonySs

at this point anthropic is dogfooding us a new product every week just to see what might stick - doubt a lot of the features/products they've rolled out will actually be around or supported in a year

i wish i had insights into the minds of the MBAs that make decisions like this

in this thread: people hating an ai company from an ai written article about an ai written reddit thread

not to mention if some loud noise happens they blow your ear out with noise cancelling in an attempt to balance it...

expected way more from a refresh tbh

would be cool if it supported basic html/css

crazy that we as Canadians get mass surveillance before venmo, robinhood, or any number of good financial tech that the government has been safeguarding to protect the monopoly that our banks have

llms aren’t exhausting it’s the hype and all the people around it

same thing happened with crypto - the underlying technology is cool but the community is what makes it so hated

not super mobile friendly (as i’d imagine for an app made for tvs) but amazing aesthetic nonetheless

usually the people who ask for the most direct advice are also the ones who so vehemently disagree with it when it's something they don't like

would love canada support on this

how is it different than doppler?

is this observability for your claude code calls or specifically for high level insights like skill usage?

would love to know your actual day to day use case for what you built

most dev workflows from pre 2021 can probably run just fine on a NEO - i think once you get into conductor / 8 terminals with claude code territory that’s where things start to slow down

i just got an m5 max with 128gb of ram specifically to run local llms

You're absolutely right! /s

As a creator who films long form content, editing (specifically clipping for short form) is such a nightmare - this solves such a huge problem and the ui is insanely clean.

Will be using this a ton in the future

Hey HN,

The wife and I are both devs, and we both agreed that being on-call is probably the worst part of the job.

We decided to build something to try and make on-call issues a bit faster to deal with.

Basically Pandem.dev is a tool that you add to your company's Slack channel and it responds with useful information whenever an on-call ping comes in.

We basically index all previous incidents and when any new on-call tickets come in from Pagerduty, it'll respond with a list of related past issues.

We're also working on allowing the model to be trained on your on-call runbooks and docs, so it can suggest solutions and starting steps to diagnose or debug whenever a new issue comes up.

Let me know what you think, any feedback is appreciated!