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kvh

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patterns.app
612 points·by kvh·3 years ago·127 comments

Matplotlib and SQL and GPT-3 == Tableau replacement?

patterns.app
13 points·by kvh·3 years ago·2 comments

Replacing a SQL Analyst with Recursive GPT Prompts – Part II, Matplotlib

patterns.app
11 points·by kvh·3 years ago·2 comments

Replacing a SQL analyst with 26 recursive GPT prompts

patterns.app
772 points·by kvh·3 years ago·300 comments

Launch HN: Patterns (YC S21) – A much faster way to build and deploy data apps

149 points·by kvh·4 years ago·36 comments

comments

kvh
·3 years ago·discuss
Author here, I’ve updated the post. The first draft of this app and blog post took me two hours, but I kept coming back with new ideas and tweaks throughout the week. By the end, I’d certainly spent more than two hours (more like 8?), so you’re right, I just failed to update the post. The main point stands — it’s surprisingly good for the amount of effort put in (although unclear how much more juice you could get out of gpt with more effort. Clear diminishing returns)
kvh
·4 years ago·discuss
Yes, great point, we share that concern. All of our components (patterns/openai-completion@v4) are open-source and can be downloaded and "dehydrated" into your Patterns app. They all use the same public API available to all apps.

We're working towards a fully open-source execution engine for Patterns -- we want people to invest with full confidence in a long-term ecosystem. For us, sequencing meant dialing in the end-to-end UX and then taking those learnings to build the best framework and ecosystem with a strong foundation. Stay tuned!

Thank you for the kind words and congrats on the great work on Orchest!
kvh
·4 years ago·discuss
The marketplace is an open ecosystem, yes! Anyone can build their own components and apps and submit them. More details here https://www.patterns.app/docs/marketplace-faq/, and guide for building your own: https://www.patterns.app/docs/dev/building-components. It's early days but our goal is coverage of all data sources and sinks, the ontology layer of common transformations and ETL logic, and AI / ML models.
kvh
·4 years ago·discuss
Those are great tools, but built for a different era. We've built Patterns with the goal of fostering an open ecosystem of components and solutions that interface with modern cloud infrastructure and the rest of the modern data stack, so folks can build on top of other's work. As more and more data lives in the cloud, in standard saas, more and more businesses are solving the same data problems over and over. We hope to fix that!
kvh
·4 years ago·discuss
Good concern. All Patterns apps are fully defined by code that you can download. We're building our open source execution engine, once that lands you'll be able to self host forever if desired
kvh
·4 years ago·discuss
Agree, debugging is a critical user experience! In Patterns, you'll see the full stack trace and all logs when you execute Python or SQL.