jabo

15 ms·

31.
by jabo 4y ago
I really appreciate that you took the time to write this detailed comment! Thank you! > but for me one example of production looks like a raspberry pi in a school house in rural africa (internet in a box project) This is an interesting p
32.
by jabo 4y ago
> Part of why I find the whole typesense comparison page disingenuous is that you're making the ability to swap to disk sound like an anti-feature. Didn’t intend it that way. In fact, we recommend that users configure swap space eve
33.
by jabo 4y ago
Hmmm, I remember those emails and I did reply to gmourier, and made almost all of the changes he pointed out, to our comparison page. Here's [1] the exact commit with the changes I made. The only one change I didn't make is the on
34.
by jabo 4y ago
Typesense follows a memory model similar to Redis - you need sufficient RAM to hold the entire dataset. I don't want to speak for the Meilisearch team, but from observing user reports like this [1], it seems to me like you'd nee
35.
by jabo 4y ago
I maintain that comparison page on the Typesense side. I just updated it as recently as yesterday, based on my observation. But let me know which ones need updating for Meilisearch. Happy to update. While we’re on the topic, reminder about
36.
by jabo 4y ago
I’ve come to see it this way: If a set of users are using a product only because it is built in X, that user base is most likely the early adopter audience for X and it dangerously masks whether that product has product-market fit or not. S
37.
by jabo 4y ago
Disclaimer: I work on Typesense [1] (an open source alternative to Algolia + Pinecone) and we recently added Vector Search as a feature to Typesense [2]. Postgres can do a lot of things, but for large enough datasets and/or when you wa
38.
by jabo 4y ago
Had this happen to me too. For a second, I was wondering if the title of this HN post and the Google redirect was some sort of joke I didn't understand.
39.
by jabo 4y ago
This is going to make time zone math a bit more complicated than it already is.
40.
Show HN: Browse Xkcd by Topic and Character(findxkcd.com)
1 points by jabo 4y ago|0 comments
41.
by jabo 4y ago
I’ve seen questionable reviews on Amazon Choice products as well. I vaguely remember reading that the labels are gameable since they are automated.
42.
by jabo 4y ago
I recently had to buy something mundane - a light bulb, with a specific lumen and color temperature spec. Weeding out all the junk listings, ads and clearly fake reviews, I ended up spending an hour trying to get to the one I wanted to buy.
43.
by jabo 4y ago
Have a look at Typesense: https://typesense.org Disclaimer: I work on Typesense.
44.
by jabo 4y ago
Got it, thank you for sharing that. Typesense was at v0.19.0 around that time. Two prominent issues we had in that version were how we handled matches across multiple fields and how we handled "keyword stuffing". We're now at
45.
by jabo 4y ago
I work on Typesense. Mind if I ask which version of Typesense and Meilisearch you tried this on? And if this was on some public dataset I can use? I’d love to take a closer look.
46.
by jabo 4y ago
Totally off topic, but scrolling through the front page I first read the title as “Terraform your city” and for a second my mind was blown thinking about what that could possibly mean…
47.
by jabo 4y ago
Thank you for calling this out! It's great to see more products adopt this stance and this is one of the reasons we chose to not raise funds for Typesense [1]. From an article I wrote recently on this topic [2]: > Selling Stock vs S
48.
by jabo 4y ago
It's interesting to see how being in the same league as kubernetes could either be considered a compliment or an insult depending on who you ask!
49.
by jabo 4y ago
I would put Vespa and also Weaviate in a new category called "Vector Search". We're also actively working on adding Vector search to Typesense: https://news.ycombinator.com/item?id=32851894
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by jabo 4y ago
I work on Typesense and I can speak to it from Typesense’s perspective. Typesense holds the entire index in memory, in order to enable fast search where every keystroke returns results in 50-150ms. So it’s built primarily to enable user-fac
51.
by jabo 4y ago
Thank you for the feedback! Will make sure we have good documentation around this.
52.
by jabo 4y ago
Thank you for saying that and thank you for building DataTables! I've heard about DataTables in various contexts over the years, so it's really cool to hear that you've integrated it with Typesense.
53.
by jabo 4y ago
Note: I work on Typesense [1], an open source alternative to Algolia. This is an interesting acquisition from my perspective because we also just started working on adding vector search to Typesense about a month ago. So you can now do near
54.
Typesense – turning a nights-weekends project into a company over 7 yrs(changelog.com)
2 points by jabo 4y ago|0 comments
55.
by jabo 4y ago
Yes! I have this exact same problem on my AirPods Pro, and only during phone calls and meetings as well. I’ve also had a tough time describing it, so couldn’t Google for it. I’ve also held off on taking it to the apple store to get it looke
56.
by jabo 4y ago
In fact, here's a diff of AGPL and SSPL, provided by MongoDB: https://webassets.mongodb.com/_com_assets/legal/SSPL-compare... They took AGPL and modified it a bit to arrive at SSPL (See Section 13).
57.
by jabo 4y ago
Thank you! Let me know if I can help.
58.
by jabo 4y ago
Thank you HN for your encouragement and support over the years: This was the push we needed to start working full-time on Typesense: https://news.ycombinator.com/item?id=22181437
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Thank HN: We made an appearance on the Nasdaq billboard(typesense.org)
1 points by jabo 4y ago|3 comments
60.
by jabo 4y ago
Not in my experience either. I received phishing (physical) mail [1] pointing me to a domain that was registered with namecheap. I reported it to them in March, I followed up a few months later, and I still see the website operating today,

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