aazo11
- Karma
- 325
- Created
- March 20, 2019 (7y ago)
- Submissions
- 0
- The Accuracy of On-Device LLMs (medium.com)
- AI's Version of Moore's Law (metr.org)
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Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from…
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Long story short: We (Dataherald) just open-sourced our entire codebase, including the core engine, the clients that interact with it and the backend application layer for authentication and RBAC. You can now use the…
- Did the "modern data stack" not deliver? (benn.substack.com)
- Natural Language to SQL on real estate data (share.streamlit.io)
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It seems Clickhouse and DuckDB are both gaining in popularity. I thought OLAP was used for loading (and pre-joining) data from data warehouses for faster analytical queries. However, I now see Clickhouse as the…
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We would like to do a comprehensive security review of our product and code pre-launch as we interact with user databases. While we are well aware of SOC 2 (and might eventually get certification), are interested to…
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Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can…
- Deploying thousands of SEO-optimized Zillow-style landing pages (pseo.dataherald.com)
- Show HN: No-Code access to all FRED and BLS data (app.dataherald.com)
Dataherald is a no-code data platform that allows you to create and deploy powerful data content (charts, maps, graphs) in less than 60 seconds. We’ve automated ETL for hundreds of public and proprietary data sources,…
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What are the pain points (if any) and what tools to do use to pipe in, analyze + present the data?