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craftsquick

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投稿

YC offers early interviews for AI companies

ycombinator.com
49 ポイント·投稿者 craftsquick·3 年前·81 コメント

Together API hosts open source models

together.ai
2 ポイント·投稿者 craftsquick·3 年前·0 コメント

Ask HN: What is the cleverest use of algorithms you saw at work?

14 ポイント·投稿者 craftsquick·3 年前·2 コメント

Alpaca RLHF-ed to beat ChatGPT

crfm.stanford.edu
93 ポイント·投稿者 craftsquick·3 年前·41 コメント

Cerebras releases open source GPT models

businesswire.com
2 ポイント·投稿者 craftsquick·3 年前·0 コメント

Language Is Not All You Need: Aligning Perception with Language Models

arxiv.org
87 ポイント·投稿者 craftsquick·3 年前·25 コメント

Ask HN: How do you manage on-prem servers?

27 ポイント·投稿者 craftsquick·4 年前·10 コメント

Compressing Logs 169x

uber.com
1 ポイント·投稿者 craftsquick·4 年前·1 コメント

Show HN: Dataset of 100M+ Prices Health Insurers Pay for Procedures

shapedata.retool.com
4 ポイント·投稿者 craftsquick·4 年前·0 コメント

Show HN: Explore 100M Medical Prices

asre.notion.site
10 ポイント·投稿者 craftsquick·4 年前·1 コメント

Show HN: No-code data analysis

shapedata.io
1 ポイント·投稿者 craftsquick·4 年前·0 コメント

Show HN: No-Code SQL Builder

craftsql.com
15 ポイント·投稿者 craftsquick·4 年前·6 コメント

Show HN: CraftSQL helps you write SQL easily

craftsql.com
1 ポイント·投稿者 craftsquick·4 年前·0 コメント

コメント

craftsquick
·3 年前·議論
Really sorry about that -- I should've turned off test mode now for Google OAuth. Login work ok now?
craftsquick
·3 年前·議論
This is a self-plug but shapedata.io does similar things on top of Postgres -- it is much younger than Datasette, so has far fewer features, but should give you a similar exploration experience!
craftsquick
·4 年前·議論
Hey HN!

I downloaded and parsed through 100M prices negotiated by Blue Cross of Washington (Premera Blue Cross) for all their in-network healthcare procedures. I've compressed about 5TB of JSON data into much easier to work with tables that you can explore yourself. Excited to hear about what you find!
craftsquick
·4 年前·議論
Thanks! Frontend: React/Redux and React Flow (for the graph) Backend: Node and Knex.js (for the query generation)
craftsquick
·4 年前·議論
You should be able to build every SQL query with this. I built an example Top-N query here: https://imgur.com/a/2xKLltl

Right now building Top-N (and my example) assumes you know the rank function exists, but over time it should be easy enough to pre-build "nodes" that do things like this automatically :)
craftsquick
·4 年前·議論
The primary reason was that this was built in one weekend! The information_schema query is a great idea actually, I'll build that in -- thank you!