Anamap
Anamap is an AI-powered analytics platform that provides Series A and B startups with an AI analyst co-worker named Cartos, delivering instant, actionable answers from Google Analytics 4 or Amplitude data without requiring specialized analytics skills.
https://anamaps.com/?ref=producthunt
Product Information
Updated:Apr 16, 2026
What is Anamap
Anamap is a data intelligence platform designed to help startups scale their analytics capabilities without immediately expanding their data team headcount. At its core is Cartos, an AI analyst co-worker that connects directly with Google Analytics 4 or Amplitude to transform raw analytics data into decision-ready insights. Founded by Alex Schlee, who brings extensive experience across analytics implementation, warehousing, and insight generation, Anamap addresses a critical gap faced by Series A and B companies: the need for continuous, sophisticated analysis while core teams in engineering, product, and growth are scaling faster than analytics resources. The platform integrates seamlessly into existing workflows through Slack, email, and a web application, eliminating the need for teams to adopt entirely new tools or wait for monthly reports to make critical business decisions.
Key Features of Anamap
Anamap is an AI-powered data intelligence platform designed for Series A and B startups that transforms analytics questions into actionable answers without requiring SQL or data expertise. The platform features Cartos, an AI analyst co-worker that integrates with Google Analytics 4 and Amplitude to provide proactive monitoring, root cause analysis, and executive-ready summaries. It learns your business context through visual data mapping to understand what metrics matter and how they connect, delivering insights directly in Slack, email, or web app. Anamap helps lean teams scale product, engineering, and growth initiatives by providing analyst coverage before making dedicated analyst hires, turning raw data into decision-ready explanations that prevent expensive guesses from becoming strategic plans.
AI Analyst Co-worker (Cartos): Cartos provides proactive monitoring of key metrics, investigates changes automatically, and surfaces insights that deserve attention before teams start guessing, acting as a virtual analyst team member.
Visual Data Mapping: Teaches the AI what conversion means in your specific business context, which events matter, and how metrics connect, creating a foundation that gets more accurate as your team asks questions.
Natural Language Queries: Ask analytics questions in plain language without SQL knowledge and receive instant root cause analysis with explanations of what changed, where, why, and what needs action next.
Multi-Channel Integration: Delivers insights where work already happens through Slack, email, and web app, maintaining context across conversations like a real co-worker rather than requiring a new workflow.
Company Memory: Learns your KPIs, business model, and team language over time, ensuring analysis gets sharper with each interaction instead of restarting from zero in every thread.
Executive-Ready Summaries: Generates concise, decision-ready explanations that leaders can use immediately to determine what to fix, what to monitor, and where to invest next without forwarding raw dashboards.
Use Cases of Anamap
Growth Team Performance Analysis: When marketing spend scales but performance drops, growth teams can quickly understand what happened and why without waiting days for analyst availability, enabling faster budget optimization decisions.
Product Release Impact Assessment: Product teams can immediately assess whether new releases improved activation metrics or introduced unexpected issues, closing the learning loop from shipping to insight without monthly report delays.
Founder Decision Support: Founders can get clean answers about metric movements at the moment action is needed rather than steering through uncertainty, distinguishing between normal fluctuations and situations requiring immediate attention.
Lean Data Team Scaling: Small data teams can offload routine analysis requests to Cartos, freeing overbooked analysts from being human middleware and allowing them to focus on strategic work that changes the business.
Customer Data Platform Implementation: Organizations can use Anamap's data governance tools and CDP integrations to set up data plans, ensure data consistency, and visualize analytics data during implementation projects.
Cross-Functional Analytics Access: Enable unlimited users across engineering, product, and go-to-market teams to access analytics insights without seat-based pricing, democratizing data access throughout the organization.
Pros
No SQL or special technical skills required, making analytics accessible to entire teams
Unlimited users with no seat-based pricing, allowing organization-wide access without escalating costs
Fast setup with first answers in minutes by connecting existing GA4 or Amplitude data sources
Learns business context over time, providing increasingly accurate and relevant insights aligned with company-specific terminology and metrics
Cons
Currently limited to Google Analytics 4 and Amplitude integrations, which may not cover all analytics stack needs
Targeted specifically at Series A and B startups, potentially less suitable for enterprise organizations or earlier-stage companies
Requires existing analytics implementation in GA4 or Amplitude as prerequisite, not a standalone analytics solution
AI-generated insights may still require human validation for critical business decisions, particularly in complex or ambiguous scenarios
How to Use Anamap
1. Register for an Anamap account: Go to the Anamap registration page at anamaps.com and create a new account. No credit card required to start.
2. Connect your analytics data source: Connect either Google Analytics 4 (GA4) or Amplitude to Anamap. This provides the data foundation that Cartos will analyze.
3. Set up integrations (optional): Connect Anamap to Slack or email so you can receive answers and interact with Cartos where your team already works.
4. Create visual maps of your data schema: Use Anamap's drag-and-drop interface to create custom visual maps showing your data collection schema, including Maps, Views, Events, and Attributes that represent your user journey and tracking implementation.
5. Add validation rules: Set up data governance rules and validation to ensure data accuracy across your analytics implementation.
6. Ask Cartos questions: Ask the AI Digital Intelligence Agent (Cartos) questions about your analytics data in natural language. You can ask via the web app, Slack, or email. Questions can be about metrics changes, conversion drops, user behavior, or any analytics inquiry.
7. Review AI-generated insights: Cartos will analyze your data and return actionable answers, root cause analysis, and executive summaries. This may take a couple of minutes for complex queries.
8. Use insights for decision-making: Share the executive-ready summaries with your team to make informed decisions about what to fix, what to watch, and where to focus next.
9. Collaborate across teams: Invite unlimited users from product, engineering, and growth teams to access maps and insights without seat-based pricing limitations.
10. Let Cartos learn your business: Continue using Anamap regularly so Cartos learns your KPIs, business model, and team language, making analysis more accurate and relevant over time.
Anamap FAQs
Anamap is an AI-powered data intelligence platform that provides startups with an AI analyst co-worker called Cartos. It connects to Google Analytics 4 or Amplitude to turn analytics questions into instant, actionable answers, helping teams get precise insights without needing special technical skills.
Anamap Video
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