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Kagi raises $670k

blog.kagi.com

341–350 of 367 posts

Re: Kagi raises $670k

#341

Earlier quoted context omitted.

> I am glad there's alternatives to Google and Bing. Kagi is just Bing under the hood with an OpenAI summarizer and a lot of tuning. It is fully reliant on the quality of search results it can fetch from Bing's databases. I know there exists Qwant (a french company) which claim to have an independent engine, but they keep turning their Bing backend on for a lot of searches. Only truly independent engine from Google/B…

I'm not sure what percentage of the results are Bing (perhaps the majority), but I think it's inaccurate to say that Kagi is just Bing under the hood: > Our searching includes anonymized requests to traditional search indexes like Google and Bing and vertical sources like Wikipedia, DeepL, and other APIs. We also have our own non-commercial index (Teclis), news index (TinyGem), and an AI for instant answers.

> I'm not sure what percentage of the results are Bing (perhaps the majority)

Zero right now (we dropped Bing completely after their API price hike). We need to update the documentation to reflect this, thanks for pointing it out.

Re: Kagi raises $670k

#342

How do you pronounce this? Is it a soft ? Whenever I see Kagi on HN I smile, because my daughter has a soft toy (a sea horse) that she has named Kagi (she pronounces it kha-gee, with a hard g). Good luck!

It is Kah-gee and comes from the Japaneese word for 'key'. Here is a video with pronunciation:

https://kagi.com/faq#pronounce

Re: Kagi raises $670k

#344
post #156

Earlier quoted context omitted.

Or pay 2 capable engs in India for 11 years. £670k is a lot in some parts of the world

The typical formula is that it costs double a person's salary for the total budget. So really you're saying 5.5 years and 2 people is a low number so maybe you build a team of 4 and then the runway is an excruciatingly short 2.75 years.

[deleted]

Re: Kagi raises $670k

#345

Earlier quoted context omitted.

What is a Kagi lens? Is it different from Google Scholar?

It's basically a way to restrict search results to particular websites. So you could create a "programming" lens including Stack Overflow and Github, for example, and a search using that lens would only return results from those sites.

Can lenses be shared with other users? And is there some kind of shared repository for them where we could crowdsource for example a lens with the urls of all Python docs of popular packages?

Re: Kagi raises $670k

#346

Earlier quoted context omitted.

>so maybe it'll cost lower to build a search engine index compared to an internet preservation project? An index is just hashmap of words and list of urls. So you have to parse the page, and add the urls and word frequencies to the list. In terms of storage is cheaper, in terms of computing power is more expensive.

A hash table is not a good backing structure for a search engine. Hash tables almost guarantee worst case disk read patterns. You use something like a skip list or a b-tree, since that's makes much better use of the hardware, and on top of that allows you to do incredibly fast joins.

That's true, but I was referring to a hash table as a mere mental model, not an actual implementation. A better name would be a dictionary instead of hash table.

Re: Kagi raises $670k

#347

Earlier quoted context omitted.

A hash table is not a good backing structure for a search engine. Hash tables almost guarantee worst case disk read patterns. You use something like a skip list or a b-tree, since that's makes much better use of the hardware, and on top of that allows you to do incredibly fast joins.

That's true, but I was referring to a hash table as a mere mental model, not an actual implementation. A better name would be a dictionary instead of hash table.

Perl culture here.

Re: Kagi raises $670k

#348

Earlier quoted context omitted.

I would be more inclined to trust them if they had a warrant canary. I can’t seem to find one.

There is one here: https://kagi.com/privacy#warrant-canary

That’s a good start, though it should really be dated. Thanks!

Re: Kagi raises $670k

#349

Earlier quoted context omitted.

You don't need to have both to sell search index access to anyone with an LLM, which seems like just about anyone these days.

Why would publishers allow you to crawl their sites if you're not sending them any traffic? The big publishers certainly won't let you do that as they are selling their data to Google, Microsoft, Facebook and whoever else has the money to train a fully fledged LLM, which is certainly not everyone.

Because it lets them sell data to other parties than Google and Facebook? That's actually pretty great. Only having a 1 or 2 customers kinda sucks.

A search engine partnering with an answer engine may not send traffic, but the answer engine is a potential customer for the websites the search engines direct them to.

Re: Kagi raises $670k

#350
post #156

Earlier quoted context omitted.

The typical formula is that it costs double a person's salary for the total budget. So really you're saying 5.5 years and 2 people is a low number so maybe you build a team of 4 and then the runway is an excruciatingly short 2.75 years.

That formula makes no sense if you’re a scrappy distributed team.

At that point the numbers are so small that yes, the rule breaks down.
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