AstroBee

🐝 MCP is now first-class in AstroBee. AstroBee has supported MCP for a while, but we’ve now surfaced it directly in the UI so teams can see, manage, and reason about MCP connections as part of the data layer, not hidden config. This makes it easier to plug in other agents on top of AstroBee so they benefit from the same unified data layer AstroBee creates. More info: docs.astrobee.ai/features/mcp #MCP #AgentInfrastructure

🐝 New in AstroBee: visual icons for auto-generated joins. You can now quickly see which systems are being connected and on what property, making it easier to understand how performance and attribution data come together without reading through schemas. See it in action → app.astrobee.ai #productupdate #analytics

We hear this all the time: teams know their data needs work, but they don’t want the overhead that usually comes with enterprise tools. That’s exactly the gap AstroBee was built to fill. Connect your sources in minutes, and AstroBee takes it from there.

Developer Relations still struggles to prove impact because every team measures something different. Growth wants leads Product tracks adoption. Community tracks engagement. Sales want customers. And DevRel sits in the middle, pulling metrics from five places, gathering scattered data. Hackmamba’s latest article breaks down why DevRel metrics stay siloed and how teams can adopt a shared framework to finally align community activity with product and business outcomes.

We keep hearing from teams that they know they need to get better about data, but they don’t want the lift that comes with most enterprise software. That’s exactly why we built AstroBee. You plug in your sources with a few minutes of setup, and AstroBee does the heavy lifting from there. If “fix the data” made your New Year’s resolution list, it doesn’t have to be a heavy lift. 🐝

When you’re working in VS Code, jumping out to other tools just to sanity-check data or explore relationships adds overhead. With AstroBee’s MCP integration, GitHub Copilot can now query your data layer directly from your editor. We put together a 5-minute walkthrough for connecting VS Code to AstroBee:  docs.astrobee.ai/tutorials/conn… #DataTools #DeveloperExperience #Copilot #AIEngineering

Humans aren’t the only ones who need a clean data layer. Agents do too. AI agents can reason, plan, and even write SQL, but when the data underneath is scattered across CRMs, ad platforms, spreadsheets, and billing systems, that reasoning turns into outputs that look confident but aren’t grounded in the actual data. That’s why so many AI based analytics and automation projects stall, not because the models are weak, but because the data is. Here’s a quick example of how Claude Desktop can plug into AstroBee and work from a clean data layer with consistent entities, shared definitions, and real data lineage, instead of a pile of disconnected tools: docs.astrobee.ai/tutorials/conn…

Marketers don’t struggle with launching ads. They struggle with remembering what actually happened afterward. - Plan in a doc. - Launch in a platform. - Screenshots in Slack. - Then no one remembers what drove performance. This tutorial shows how to manage LinkedIn and Reddit ads in AstroBee so planning and performance stay connected and easy to review: docs.astrobee.ai/tutorials/mana… #marketingops #paidsocial #adops #b2bmarketing #AstroBee

Everyone’s asking if we can trust AI. Almost no one’s asking if we can trust the data behind it. When your CRM, ad tools, and sheets don’t line up, even the smartest model gives bad answers. That’s the real bottleneck in AI. blog.astrobee.ai/why-ai-agents-… #AI #MarTech #Analytics

Experiencing AstroBee takes no more than 10 minutes ⏱️ 🏃‍➡️ Check out our quickstart for a guided introduction to AstroBee! docs.astrobee.ai/quickstart

The AstroBee alpha now supports a number of direct connections to your source systems! 1. Connect your data directly from Google Sheets, PostHog, HubSpot 2. AstroBee suggests an initial modeling of your connected data. 3. Review, approve, and apply to build on top of an integrated data layer. Check it out at app.astrobee.ai

It's cheaper and easier than ever to build in-house applications instead of spending on another vertical SaaS. The hard part for many applications now is the data layer. LLMs can generate your application code for you, but can they bring your data into one spot and ensure you're seeing the right results? AstroBee closes the gap. AstroBee is an AI-native tool for unifying your data layer, so your applications serve the right information. Check out the alpha preview at astrobee.ai

As a data-forward product manager, you probably have a grasp on SQL and using AI to generate analytics queries for you. The edge of analytics power has moved from queries to data integration. When your data lives in many systems, you end up stuck waiting on analysts, manual data munging, or juggling dashboards that don’t align. AstroBee pulls all your data together for you, no matter where it is. Read more about how AstroBee unifies the product analytics experience at astrobee.ai/use-case/produ…

Want to analyze marketing performance across many channels? Chances are you’re pulling data and running your own Excel-based analysis every week. With AstroBee, you can build your own cross-channel marketing analysis tool in minutes. Read more in our marketing use case explainer at astrobee.ai/use-case/marke… 🚀

In the first installment of our use case series, dive into how AstroBee can drive significant cost savings for supply chain management in healthcare 🚀 astrobee.ai/use-case/healt…

📊 Product Managers know the struggle: data lives everywhere, definitions don’t line up, and you spend hours chasing clarity before you can even make a decision. That’s why we built AstroBee, an AI-powered semantic layer that unifies messy data into a single ontology you can actually trust. With AstroBee you can: • Connect directly to your product + business systems. • Let AstroBee normalize and resolve messy entities (users, accounts, events.) • Query your ontology in plain language to uncover adoption, churn, or growth drivers. • Build agents and analytics on top of reliable, connected data. Less time wrangling spreadsheets → more time shipping the right features 🚀 👉Learn more: astrobee.ai #data #ai #productmanagement #product

Messy data isn’t a blocker anymore. AstroBee generates an ontology you can actually use: mapping customers, events, transactions, and more into a clean source of truth. From chaos ➝ clarity ➝ insights. See it in action: astrobee.ai #ontology #ai #agents