| 1. | | The Accuracy of On-Device LLMs (medium.com/aazo11) |
| 2 points by aazo11 11 months ago | past | 2 comments |
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| 2. | | AI's Version of Moore's Law (metr.org) |
| 2 points by aazo11 11 months ago | past | 1 comment |
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| 3. | | Local LLM inference – impressive but too hard to work with (medium.com/aazo11) |
| 84 points by aazo11 on April 21, 2025 | past | 58 comments |
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| 4. | | Show HN: GitHub-assistant – Natural language questions from your GitHub data (github.com/reltadev) |
| 49 points by aazo11 on Dec 22, 2024 | past | 16 comments |
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| 5. | | Show HN: We open sourced our entire text-to-SQL product (github.com/dataherald) |
| 464 points by aazo11 on May 23, 2024 | past | 144 comments |
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| 6. | | Did the "modern data stack" not deliver? (benn.substack.com) |
| 8 points by aazo11 on April 10, 2024 | past | 1 comment |
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| 7. | | Text-to-SQL that asks the LLM to predict the result set (arxiv.org) |
| 2 points by aazo11 on April 10, 2024 | past | 1 comment |
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| 8. | | Natural Language to SQL on real estate data (streamlit.io) |
| 5 points by aazo11 on Oct 13, 2023 | past | 1 comment |
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| 9. | | Ask HN: Why Use an OLAP Database? |
| 3 points by aazo11 on Sept 12, 2023 | past |
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| 10. | | Ask HN: Pointers to resources for an internal security review |
| 3 points by aazo11 on Sept 11, 2023 | past | 1 comment |
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| 11. | | Show HN: Dataherald AI – Natural Language to SQL Engine (github.com/dataherald) |
| 215 points by aazo11 on Aug 23, 2023 | past | 103 comments |
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| 12. | | Deploying thousands of SEO-optimized Zillow-style landing pages (dataherald.com) |
| 2 points by aazo11 on Oct 24, 2022 | past | 1 comment |
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| 13. | | Show HN: No-Code access to all FRED and BLS data (dataherald.com) |
| 7 points by aazo11 on July 20, 2022 | past |
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| 14. | | Ask HN: What datasets (public or proprietary) do you use on a regular basis? |
| 7 points by aazo11 on Dec 14, 2021 | past | 1 comment |
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