amrutha_

6 ms·

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Show HN: I built an interactive 3D three-body problem simulator in the browser(structuredlabs.github.io)
60 points by amrutha_ 7mo ago|20 comments
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by amrutha_ 1y ago
waldium can be good for blogs if you dont want to do a custom build. its geo-specific though
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Living in the Library of Babel: Abundance Without Curation(blog.waldium.com)
4 points by amrutha_ 1y ago|0 comments
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Large Language Models Parse Content(blog.blogwald.com)
1 points by amrutha_ 1y ago|0 comments
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by amrutha_ 1y ago
Excel has quietly implemented one of the most elegant incremental build systems in software, a reactive DAG engine that updates just what it needs to. We’re building Preswald, a reactive Python framework for data dashboards, and realized Ex
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Show HN: Open-Source CMS for Supabase Storage(github.com)
4 points by amrutha_ 1y ago|0 comments
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Software Eng Intern – Structured Labs (YC S23) Is Hiring(ycombinator.com)
1 points by amrutha_ 2y ago
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Structured Labs (YC S23) Is Hiring for Full-Stack Engineers(ycombinator.com)
1 points by amrutha_ 2y ago
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by amrutha_ 2y ago
CSVs seem like a great idea until they aren't. They're simple, portable, easy to open. No setup, no database, no friction. Just raw data, right there. That’s why people love them. But the moment they get big—really big—everything
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Faster health data analysis with MotherDuck and Preswald(motherduck.com)
1 points by amrutha_ 2y ago|0 comments
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by amrutha_ 2y ago
We’re used to thinking of software as something permanent: bought, maintained, and scaled. But what if it didn’t have to be? The cost of writing code has plummeted, making it easier than ever to build ephemeral software (tools created for a
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by amrutha_ 2y ago
Debugging AI voice agents is way easier when you have the right dashboards. With DuckDB & Structured, you can pull logs locally, run instant SQL queries, and turn messy data into clear, interactive dashboards. This post walks through se
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Structured (YC S23) Is Hiring(ycombinator.com)
1 points by amrutha_ 2y ago
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A technical intro to Ibis: The portable Python DataFrame library(blog.structuredlabs.com)
2 points by amrutha_ 2y ago|1 comments
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by amrutha_ 2y ago
We recently explored Ibis, a Python library designed to simplify working with data across multiple storage systems and processing engines. It provides a DataFrame-like API, similar to Pandas, but translates Python operations into backend-sp
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by amrutha_ 2y ago
Analytics success depends on asking the right questions upfront. Many projects fail because they start with vague goals like “We need a dashboard” without understanding the problem they’re solving. Analytics spans a spectrum from descriptiv
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by amrutha_ 2y ago
TensorFlow organizes computations as a DAG: nodes represent operations, and edges define their dependencies. This structure enforces order, ensures reproducibility, and provides transparency. Operations only run when their dependencies are
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by amrutha_ 2y ago
Imagine if building data apps was 100x easier—what would change? In the 1990s, photography was deliberate and scarce. Film was expensive. Every photo was a decision. Fast forward to today: with smartphones, photography is instant, cheap, an
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by amrutha_ 2y ago
What we learned from building a no-code data stack. And why we changed course. How AI copilots solve what no-code apps simply cannot. At first, we set out to solve a problem that seemed, at first glance, straightforward. Businesses have dat
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by amrutha_ 2y ago
With recent earthquakes and tsunami warnings, real-time data is more relevant than ever. So, we built a custom data app in minutes using the USGS Earthquake Hazards Program API using Preswald built by @StructuredLabs 1⃣ Ingestion -- With c
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AWS, S3, Iceberg, Data Lakes and the Future of Simplicity(structuredlabs.substack.com)
1 points by amrutha_ 2y ago|1 comments
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by amrutha_ 2y ago
The best systems make hard things simple. Data lakes started as a great idea—scalable storage for diverse datasets—but as they grew, they got messy: fragmented files, clunky manual metadata, and trade-offs everywhere. S3 Tables and S3 Metad
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by amrutha_ 2y ago
Why Notebooks Succeeded—and Why They're Cracking Under Pressure Notebooks thrive because they solve one problem incredibly well: exploratory data analysis. Low Barrier to Entry: Open a browser, type Python, and you're analyzing da
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We need data engineering benchmarks for LLMs(structuredlabs.substack.com)
12 points by amrutha_ 2y ago|4 comments
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by amrutha_ 2y ago
Tools like Copilot and GPT-based copilots promise to reduce the repetitive burden of data engineering tasks, suggest code, and even debug complex pipelines. But how do we measure whether they’re actually good at this? Frankly, the industry
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Show HN: Preswald – AI Data Engineer in VSCode for Local Testing, Metrics(preswald.com)
7 points by amrutha_ 2y ago|1 comments
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Show HN: Structured, GitHub App for Automated DBT PR Reviews(github.com)
6 points by amrutha_ 2y ago|2 comments
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by amrutha_ 3y ago
yes! S3 is available, and postgres is shipping soon as links
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Show HN: Blocks: AI-Powered Custom Function Builder from Structured(app.structuredlabs.io)
20 points by amrutha_ 3y ago|4 comments
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by amrutha_ 3y ago
Fantastic blog! In your post, you highlighted the use of Cloud TPU v5e with GKE for AI inference. How does this setup maintain high performance while managing costs, especially in high-demand scenarios like real-time data processing or live

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