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podoman

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投稿

Supabase Docs over SSH

supabase.com
3 ポイント·投稿者 podoman·3 か月前·0 コメント

Optimizing ClickHouse: Tactics that worked for us

highlight.io
131 ポイント·投稿者 podoman·2 年前·25 コメント

ClickHouse Materialized Views for Fast Aggregation and Queries

highlight.io
29 ポイント·投稿者 podoman·2 年前·2 コメント

Show HN: An open source performance monitoring tool

github.com
135 ポイント·投稿者 podoman·2 年前·32 コメント

AI Autocomplete – Shortwave now finishes your sentences

shortwave.com
1 ポイント·投稿者 podoman·2 年前·0 コメント

Database startup MotherDuck lands $52.5M to grow its DuckDB-based platform

techcrunch.com
17 ポイント·投稿者 podoman·3 年前·1 コメント

Text Embeddings Visually Explained

txt.cohere.com
1 ポイント·投稿者 podoman·3 年前·0 コメント

Launch HN: Highlight.io (YC W23) – Open-source, full stack web app monitoring

261 ポイント·投稿者 podoman·3 年前·134 コメント

[tz] Lebanon DST change internally disputed

mm.icann.org
3 ポイント·投稿者 podoman·3 年前·3 コメント

コメント

podoman
·3 か月前·議論
Big fan of all of the items mentioned here. I love the "intuitive split commands" -- I'll add that.

For the vim/nvim fans out there, I try my best to add "vim-style" key bindings for navigating between panes, so that e.g. ctrl-h, ctrl-j, ctrl-k, and ctrl-l can be used to move around qukcly. My dotfiles are here:

https://github.com/jay-khatri/dotfiles/blob/main/.tmux.conf
podoman
·昨年·議論
Have you considered calling this bot "intern bot"? - Jay
podoman
·2 年前·議論
Put up a fix, thanks: https://github.com/highlight/highlight/pull/8571
podoman
·2 年前·議論
Have heard good things about local. Clickhouse more broadly is an awesome project and they're always on standby to help our eng team team as well.
podoman
·2 年前·議論
Highlight.io cofounder here. Thanks for the shout out. Glad to hear you like the product; continue to share feedback as you use it!
podoman
·2 年前·議論
https://highlight.io
podoman
·2 年前·議論
We've thought of that briefly. You're essentially asking for some sort of synthetic monitoring right?

Definitely something we're thinking of. If you have any particular requirements, we're all ears.
podoman
·2 年前·議論
The difference is that we also expose what the user is interacting with when these traces get fired. Perhaps on mobile your aren't able to view that?
podoman
·2 年前·議論
I can confirm shortly, but I believe you don’t actually need those installed locally. That might be a mistake in our docs! Have you tried the docker setup without those tools?
podoman
·2 年前·議論
Some additional thoughts. For Shopify store owners, they can definitely install Highlight if they have access to the site that they're hosting (we have some customers in this space!). This can help with optimizing their user experience, etc.. For our tracing SDKs in particular, they would only really work if the shopify developers have their own proprietary code running, however, because this requires application instrumentation.
podoman
·2 年前·議論
Updated, thanks: https://github.com/highlight/highlight/pull/7644/files
podoman
·2 年前·議論
We collect logs across the stack. Here's some docs on our backend logging integrations (we also have connectors for major cloud providers): https://www.highlight.io/docs/getting-started#for-your-backe...
podoman
·2 年前·議論
Are you referring to link [3]? And taking a look at the GitHub issue, thanks for sharing.
podoman
·2 年前·議論
Sorry about that. Will relay this to the team. We're mostly a mac shop, but definitely hear you.
podoman
·3 年前·議論
We use algora at https://highlight.io and love it:

1. We get OSS contributors incentivized to work on the features that we want to prioritize.

2. It acts as a great hiring funnel.

Congrats on the launch.
podoman
·3 年前·議論
As other commenters mentioned, we are both comparable (pending your opinion on the MIT license).

We both charge a cloud saas fee as well:

https://www.hyperdx.io/pricing https://www.highlight.io/pricing
podoman
·3 年前·議論
Looks very similar to what we're doing at https://highlight.io. Would love to trade notes at some point.

One thing to consider with your messaging is that when you start speaking to large companies, they won't see you as a datadog alternative. They'll see you as a mix of sentry + fullstory + honeycomb.

Datadog originally found its success with its metrics products, and the larger the buyer of datadog gets, the more metrics-esque use case a company finds. The session replay, logging and other things are simply products that datadog tacks on.

That being said, this is clearly a large market (which is why we're working on it). I particularly like the tracing UI that y'all have and I'd love to chat with your team at some point. Good luck.
podoman
·3 年前·議論
(I'm one of the Highlight.io founders). Yep, that's the intention. And anecdotally, it works pretty well, even without fine-tuning.

We started working on this before any of the fine-tuning APIs for OpenAI came out, but we are keeping an eye out for support for fine-tuning on more OSS models. I suspect it would result in better results, especially if it were trained on only exceptions, for example.
podoman
·3 年前·議論
We're big users of clickhouse at https://highlight.io. Some more details here if you're interested: https://www.highlight.io/blog/how-we-built-logging-with-clic...
podoman
·3 年前·議論
Fwiw, we do the same (https://highlight.io). Heard good things about uptrace as well.