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Show HN: Microsoft releases Flint, a visualization language for AI agents Data visualizations are the bridge between user and data.<p>But building AI agents that can generate visualizations reliably can be very tricky:<p>- simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability<p>We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple high-level specs. The result is also very human understandable and adaptable. Flint powers data formulator for generating visualizations (another open source project from microsoft <a href="https:&#x2F;&#x2F;data-formulator.ai&#x2F;" rel="nofollow">https:&#x2F;&#x2F;data-formulator.ai&#x2F;</a>).<p>Flint is available open source, and we built a MCP server that you can directly plug flint in your favorite agent app to play with data.

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Show HN: Pretend to Vibe Code, but Meditate

Show HN: Abralo – Free, easy way to run several Claude Code agents in one window Hi guys,<p>I&#x27;ve been using Claude Code for almost everything lately. Have given one an email account so it can research business leads, draft emails, fact-check them and clear them with me before sending (works really well by the way). I also tend to have a few Claude Code agents running at any one time for coding.<p>I used to create a split terminal to manage them from there, but found working in the terminal all day pretty depressing and, more importantly, found it hard to follow Claude Code&#x27;s process and see which agents needed my immediate attention.<p>I tried Anthropic&#x27;s VS Code Claude Code extension and it had a great UI (more info on Claude Code&#x27;s process and easier to read), but it crashed my PC when I ran more than 3 and I couldn&#x27;t watch multiple agents in parallel (had to constantly switch between them).<p>So I built a lightweight Tauri desktop app which lets you run multiple Claude Code agents in one window alongside each other. It&#x27;s easier to read the output and see which agents need your attention than a terminal.<p>Have been using this all day everyday instead of an IDE and have obsessed over every detail to make sure it&#x27;s easy-to-use, but also lightweight and fast (so you can manage multiple agents without your PC crashing).<p>There are some nice features like better usage alerts for when you&#x27;re going to hit your 5-hour and weekly limits (with sparklines to show when usage peaked, and which agents are the most token-intensive).<p>It&#x27;s free to use (you just need to log in with your existing Claude Code account) for up to 4 agents simultaneously. This app doesn&#x27;t store your Claude Code account details and doesn&#x27;t store any of your interactions with Claude Code. They remain between you and Anthropic. It&#x27;s compatible with Windows, MacOS and 64-bit Linux.<p>Would really appreciate any feedback, so if you have any thoughts, issues or suggestions please let me know.<p>Thanks, Chris

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Show HN: FactIQ – a realtime econ+finance database for AI agents Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis.<p>The problem<p>AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses.<p>Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist for getting just market data, just macro data, or just trade data. But unless you pay $30k&#x2F;person&#x2F;year for a Bloomberg terminal - you’re not getting that data inside your AI agent.<p>How we&#x27;re fixing this<p>We source, clean, and standardize data from SEC filings, official economic series and macro-economic releases. We structure the data so it’s stupidly obvious to query for any agent. All data is stored in just 3 tables with identical schemas and a total of just 20 columns. We keep the metadata like units, methodology and coverage fresh.<p>We&#x27;re launching today with plugins for Claude Code and Codex. The plugin is open source, so you can adapt it to other agents.<p>So far we have over 25M+ series including macro and detailed bilateral trade series from 8 countries, US equity prices and fundamentals, and much more.<p>We’re adding new data every day - with structured insights from satellite imagery, investor calls and company leadership interviews coming soon.<p>Our ask<p>If you go deep into company fundamentals or sectors, and use AI agents in your investment decisions, we’d love to chat. Please drop us feedback below or at founders@factiq.com!

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