nowfound

AI · April 7, 2026

folio

hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain another prompt for each bucket etc. Then you need to constantly review the raw data to tweak the prompts…

folio launched on April 7, 2026 with 74 votes, #687 of 21,248 launches that month and more than 95% of that year's launches.

Visit usefolio.ai ↗folio alternativestop 3% of April 2026

What it does

A free, desktop app that helps you and your agents analyze your documents and unstructured data. Review all your files in a tabular document review UI, create multi-step research pipelines and extract insights. Bring your own AI key, connect to your agents via MCP and scale to thousands of files.

A free, desktop app that helps you and your agents do research on your documents.

Get agents to use your existing MCP integrations and bring the data into Folio. The data can be the files themselves or a CSV-style export. Get a general overview of what is in the data, topics to dive deeper into, and ideas for organizing the workspace. Use observations from the data overview to categorize the data in several buckets to help you navigate it. use natural language to label, summarize and extract insights from your files. Folio is the surface to see, steer, and scale analysis done by agents. Agents source the data and get work done, you oversee and approve all the operations. Most AI tools are cloud-first and ask for trust. folio keeps work local, isolated and requires…from usefolio.ai

In the maker’s words, at launch

hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making…

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