anthonySs | 6 days ago | on: Push events into a running session with channels
anthonySs's comments
anthonySs | 6 days ago | on: Clockwise acquired by Salesforce
anthonySs | 9 days ago | on: Meta Platforms: Lobbying, dark money, and the App Store Accountability Act
anthonySs | 9 days ago | on: AirPods Max 2
expected way more from a refresh tbh
anthonySs | 9 days ago | on: Show HN: Thermal Receipt Printers – Markdown and Web UI
anthonySs | 9 days ago | on: Bill C-22, the Lawful Access Act: Dangerous backdoor surveillance risks remain
anthonySs | 10 days ago | on: LLMs can be exhausting
same thing happened with crypto - the underlying technology is cool but the community is what makes it so hated
anthonySs | 12 days ago | on: Show HN: Channel Surfer – Watch YouTube like it’s cable TV
anthonySs | 12 days ago | on: I beg you to follow Crocker's Rules, even if you will be rude to me
anthonySs | 13 days ago | on: Show HN: Homecastr - AI home price forecasts on a map
anthonySs | 13 days ago | on: Show HN: Sigyn – OSS native macOS secrets manager to replace .env (GUI+CLI)
anthonySs | 14 days ago | on: Show HN: Rudel – Claude Code Session Analytics
would love to know your actual day to day use case for what you built
anthonySs | 14 days ago | on: Big data on the cheapest MacBook
i just got an m5 max with 128gb of ram specifically to run local llms
anthonySs | 14 days ago | on: Don't post generated/AI-edited comments. HN is for conversation between humans
anthonySs | 4 months ago | on: Launch HN: Mosaic (YC W25) – Agentic Video Editing
Will be using this a ton in the future
anthonySs | 1 year ago | on: Pandem.dev - Make on-call less shitty
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!