often I had to tell founders that their startup didn't qualify to be included
Could you share why?
HN user
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often I had to tell founders that their startup didn't qualify to be included
Could you share why?
This is an interesting approach especially if you factor in that re-minting a key is usually a lightweight task compared to what most API calls have to interact with.
If the re-minting happens transparently with a user interaction then you spread out some of the request velocity that can come with that (if you're operating at a large enough scale for it to matter for this to be a concern).
MARKETING.NATIVE.OTA
Calendar Versioning (CalVer, YYYY.Release.Patch) fulfills the same need and you can see it in practice with Jetbrains (e.g. the latest version of IDEA is 2025.3.6).
The only difference is Jetbrains uses YYYY.R for marketing, see: "What's new In 2025.3"[1]
I do think it's possible for one to qualify/quantify the how and why they deemed their product "beautiful".
But before I did so I researched first. I asked a few instances to analyse the project in terms of gains of complexity, stability, testability, etc., and while (obviously) stability would drop (no types in Ruby) it’s not that awful (Sorbet has types in Ruby!).
Is it not a rage-bait argument to say that not having types implies less stability?
Ah, I was using GH's webui instead of downloading to view the PDF and it stopped loading at slide#47...rereading it now paints a much better picture. Thanks!
If I followed, Rust's memory safety guarantee means sacrificing roughly ~3% performance with some worst case paths being ~15% (compared to C++ performance)?
Is it too much to ask for a not-vibe-coded billing system? In my opinion, we need better systems to hold these companies accountable as I don't believe the $20/dispute they're paying means much given how common other customers are complaining about billing irregularities just in this thread alone.
Would an accurate comparison be something like perspective? (https://perspective.finos.org/)
Is the focus on density around performance, visualization, or something else?
https://www.youtube.com/watch?v=CIEVrBLmF70
I was curious to see if there was a video of it being done and this seems to be it. Incredibly delicate is an understatement.
OP's ask was: "Is this another one ... where open source is used more as a marketing gimmick"
My original comment wasn't intended to indicate that there is an obligation to provide support. The deliberate choice to: a) not offer paid support for open-source deployments, and b) sunsetting the Kubernetes deployments in favor of their cloud version, is a signal that shows PostHog doesn't /really/ want you to be running the software in a self-hosted manner.
Just look at the "Open-source hobby deploy" (from the README in git) which calls out that it "should scale to approximately 100k events per month" but their cloud offering gives you 1 million events per month for free. What is the point of the hobby "deploy"?
Back to OP -- my answer is yes, this is a source-available service that you can modify and play around with locally. The source and documentation behind the operations of PostHog aren't available.
Fairly accurate, you can only get support if you're using their cloud product.
"We no longer support paid, open-source deployments and it is no longer possible to buy licenses for self-hosted versions - we instead recommend migrating to PostHog Cloud." - from: https://posthog.com/docs/self-host
What a wild story...it's crazy to think that we have 1080p emulator video (https://www.youtube.com/watch?v=EufWGcflwjQ) without having the underlying rom ever ending up on the internet.
Relatedly, FOSDEM is happening Feb 3rd/4th in Brussels and THAT conference is happening Jan 29th-31st in Texas.
Is there a Group 4: Can tell the difference between 120Hz and 240Hz?
I use the 32" Odyssey G7 which is 2560x1440@240Hz.
https://www.levels.fyi is the best resource I've come across when it comes to aggregating all those factors.
If you're at a point of spending $1.6M to transition objects from one class to another and spending millions per month in storage costs -- you need to have a real conversation about if storing your data in a vendor-locked cloud is the right path forward. S3 isn't the only option, MinIO + dense storage is one viable option if your spend is high enough to justify running MinIO. Backblaze is another.
List price of Backblaze:
$0.005/GB - Base Storage
$0.01/GB - Egress (Use a data partner to bring this down to $0)
$0 - PUT API Requests
$0.004/10,000 - GET API Requests
No delete penalties a/k/a minimum storage
List price of Glacier Instant Retrieval:
$0.004/GB - Base Storage
$0.09/GB - Egress
$0.02/1,000 - PUT API Requests
$0.01/1,000 - GET API Requests
Billed for 90 days of storage
Thanks for the feedback -- agreed on the reserved capacity being an anti-pattern.
For the third point, what I've suggested in the past to push your artifacts into the region (since that's free) and then pull it down from S3. This lets you only incur S3 costs which tend to be cheaper then NAT data transfer costs (assuming you're using a VPC endpoint or equivalent).
I recently published this article and it's been weird to see how divided the community it is on this.
It feels that half of my inbox is people yelling "we've been running this in production", the other half yelling "this is this worst thing to do in the cloud next to leaving S3 buckets open".
I'd love to know your sentiment if you have one as I didn't expect to hit such a nerve.
Similar story for cloud services, we've seen startups burn through 100K in AWS credits before they even launch a product.
Curious on the use case -- is it only BigQuery?
James Hamilton of AWS fame touched on this in 2022 (https://www.youtube.com/watch?v=zfjFHa5wY0E). He has a thesis that servers will move towards single board PCBs similar to how mobile devices. This feels like the first step in that direction so look forward to seeing what's next.
"Conversations that are started when chat history is disabled won’t be used to train and improve our models, and won’t appear in the history sidebar"
A huge step in the right direction to no longer have to use the API to get around training the underlying models -- including ChatGPT4.
Took me a second to realize I have to scroll down to get the cards to stack. Very neat!
@Asianometry (https://www.youtube.com/@Asianometry) does great deep dives on ASML and all the chip makers.