Cool idea. The pricing model reminds me of my time working in algorithmic trading, haha. I'll try this out for some queries I wanted to run.

I suppose the scraping you're doing is a huge part of your value proposition, but I would like to gently nudge you in the direction of making the datasets available via p2p (e.g. a torrent) like how Wikipedia distributes its snapshots in the spirit of democratizing access to data that is becoming increasingly walled off. Also, I think another potential benefit that kind of bulk sharing would have is relieving the congestion from those doing the equivalent operation to extract data via the querying interface.

Please have a 'readable version' option so I don't have to exhaust myself parsing the sites layout. I get that it's unique but most of us just want to work out what you're offering in 5-10 seconds of our time.

Scry, keyword action that allows a player to look at a specific number of cards from the top of their library and then arrange those cards in any order, placing any number of them on the bottom of the library and the rest on top.

How did you scrape reddit comments? Doesn't this require expensive licensing from reddit? How do you handle comments that were deleted by users?

I'm out of my depth, search is just really cool. If Scry beats the current DeepSearchQA leaderboard why isn't it in the leaderboard?

Will it be added? Are you forced to use a traditional search engine to make it in the leaderboard?

https://scry.io/deepsearchqa

https://www.kaggle.com/benchmarks/google/dsqa

Pricing model is hard to understand at a glance. It uses a term "second of query time" which is not a conventional term and not defined anywhere. Also, all pricing related pages seem to be LLM-generated and are hard to read for a human.

Please, just explain in your own words, how the pricing works, without using made up terms invented by an LLM.

This is a very good thing, thanks! Have you talked with any of the smaller search engines like Kagi, Qwant, Brave, Mwmbl, DDG, etc to have this supplement the quality of their results? This seems like a big step towards breaking Google and Bing's dominance in search.

It's beautiful <3

Fascinating stuff. Curious how you handle the ingestion of data from so many sources cost effectively

Cool but please rewrite the text. Ctrl + F "land" gives 29 matches.

Congestion pricing for queries sounds innovative.

this is cool

> Furthermore, search companies aren't even pursuing text-to-SQL anymore (several have talked to me)... they made up their minds during the traumatic 2024 text-to-sql days. They were just too early.

Can you expand on this? Is text-to-sql a deadend? (I personally think it is, having worked on a project at $work. But curious to hear about others experience.)