Ragnerock, an AI data analysis tool
Hi HN, I’m Matt Mahowald, and together with my cofounder John, we’re launching the public beta of Ragnerock today. As a data scientist, you spend the majority of your time wrangling data. Even though you might have a set of techniques and tricks you like to use, how exactly you treat a particular source of data tends to be fairly bespoke, so you end up writing custom logic each time. Ragnerock was born from the observation that modern LLMs can be used to automate a lot of the grunt work involved in this process, while still allowing for fully customizable pipelines. What’s more, by…
Ragnerock, an AI data analysis tool launched on April 28, 2026 with 13 votes, #1,135 of 21,248 launches that month and more than 90% of that year's launches.
In plain words
Ragnerock is an AI data analysis tool designed for data scientists that automates the time-consuming work of data preparation and wrangling. It uses large language models to handle repetitive tasks while allowing fully customizable processing pipelines. The tool features a workflow designer and can work with multiple data sources including raw text, images, and structured database data through a unified query interface. It aims to reduce the manual coding typically required when preparing different data sources for analysis.
written from the facts on this page · September 2026
From the sources
Research Intelligence Platform - Turn artificial intelligence into genuine knowledge
Ragnerock's patent-pending structured agentic memory system lets you design and run agents that are safer , more accurate , and use fewer tokens than other agent orchestration systems. We integrate with your existing data infrastructure and AI providers, so you can keep using the tools and systems you already have. Start building AI solutions that understand your business today. AI adoption is accelerating. For most teams, AI costs are accelerating faster. The usual approach reruns the same expensive work every time someone asks a question. Ragnerock is process once, query forever, so your costs scale with the size of your data, not the number of questions you ask of it. No rip and replace.…from ragnerock.com
In the maker’s words, at launch
Hi HN, I’m Matt Mahowald, and together with my cofounder John, we’re launching the public beta of Ragnerock today. As a data scientist, you spend the majority of your time wrangling data. Even though you might have a set of techniques and tricks you like to use, how exactly you treat a particular source of data tends…
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