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craftsquick

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YC offers early interviews for AI companies

ycombinator.com
49 points·by craftsquick·3 anni fa·81 comments

Together API hosts open source models

together.ai
2 points·by craftsquick·3 anni fa·0 comments

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

14 points·by craftsquick·3 anni fa·2 comments

Alpaca RLHF-ed to beat ChatGPT

crfm.stanford.edu
93 points·by craftsquick·3 anni fa·41 comments

Cerebras releases open source GPT models

businesswire.com
2 points·by craftsquick·3 anni fa·0 comments

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

arxiv.org
87 points·by craftsquick·3 anni fa·25 comments

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

27 points·by craftsquick·4 anni fa·10 comments

Compressing Logs 169x

uber.com
1 points·by craftsquick·4 anni fa·1 comments

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

shapedata.retool.com
4 points·by craftsquick·4 anni fa·0 comments

Show HN: Explore 100M Medical Prices

asre.notion.site
10 points·by craftsquick·4 anni fa·1 comments

Show HN: No-code data analysis

shapedata.io
1 points·by craftsquick·4 anni fa·0 comments

Show HN: No-Code SQL Builder

craftsql.com
15 points·by craftsquick·4 anni fa·6 comments

Show HN: CraftSQL helps you write SQL easily

craftsql.com
1 points·by craftsquick·4 anni fa·0 comments

comments

craftsquick
·3 anni fa·discuss
Really sorry about that -- I should've turned off test mode now for Google OAuth. Login work ok now?
craftsquick
·3 anni fa·discuss
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 anni fa·discuss
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 anni fa·discuss
Thanks! Frontend: React/Redux and React Flow (for the graph) Backend: Node and Knex.js (for the query generation)
craftsquick
·4 anni fa·discuss
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 anni fa·discuss
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!