
Exstats is an analytics platform for browser extension makers, marketers, and agencies. It tracks 280,000 extensions across Chrome Web Store, Edge Add-ons and Firefox Add-ons, with a full daily history of installs, ratings, reviews, categories and search ranks. The kind of data that none of the stores show you natively.
Who it is for:
📈 Extension developers who want to see how their product performs across all three stores in one chart
🔍 Growth and marketing teams running keyword research, ASO and competitor analysis
🏢 Agencies and consultants managing multiple extension clients
What you can do:
A single extension across all three stores becomes one Product in Exstats. Add competitor extensions to the same Product and compare them side by side. Use Explorer to query the full database with 30+ filterable fields, for example "Firefox Productivity extensions that grew 20% this month". Track keyword ranks across all three stores with 1D, 7D and 30D deltas. Get alerts on rating drops, ranking shifts or any field change, delivered to email or Slack.
Browser extension performance tracking is crucial for developers and product teams, but Exstats might not fit every workflow or budget requirement. Businesses often seek alternatives that offer more specialized features, better integration capabilities, or different pricing models that align with their specific analytics and monitoring needs.
Here are the best alternatives to Exstats, ranked by popularity and user engagement.

Fusedash is an AI data visualization platform that turns CSVs and APIs into interactive dashboards, charts, maps, and storytelling reports in one workspace. Build KPI dashboards with filters, segments, and drilldowns so teams can move from a top-level signal to the drivers behind performance changes.
Use AI data chat to ask questions in plain language and get breakdowns by channel, region, product, or cohort. Fusedash is MCP-compatible, so you can plug in an MCP-compatible model to generate dashboards, executive reviews, and live KPI interfaces from connected data sources.
Best for SaaS, ecommerce, marketing performance reporting, finance KPI monitoring, and operations dashboards where teams need fast answers from reliable data.
Links
Product overview: https://fusedash.ai/product
Dashboards: https://fusedash.ai/dashboards
Real-time interface: https://fusedash.ai/real-time-interface
Offers AI-powered data chat alongside traditional dashboards, enabling teams to ask natural language questions about their data without building custom queries or reports manually.

Verita is a no-code dashboard platform that transforms your data into actionable insights instantly, no SQL or coding skills required. Simply connect your existing data sources, ask questions in plain English, and get visualized answers immediately.
Instant AI-Powered Queries: Effortlessly query data in plain English and visualize results instantly.
Flexible Data Integration: Easily connect to various data sources, including REST APIs, PostgreSQL, MySQL, MongoDB, ClickHouse, and more.
Automated Reporting: Schedule regular reports delivered directly to your inbox, ensuring timely insights without manual effort.
Secure & Simple Sharing: Quickly share interactive dashboards securely with your team via password-protected links.
Unlock your team's potential with instant, effortless data analysis powered by AI.
Provides a completely no-code experience with AI-assisted data visualization, making it ideal for teams without data engineering resources who need to explore and visualize metrics independently.

fnel is a simple funnel analytics tool built for solo founders and indie makers. With just one code snippet, you can track user events and see real-time funnel drop-offs and conversions. No heavy dashboards or complex integrations - just clear insights to help you optimize signups, onboarding, and sales
Delivers lightweight funnel analytics with automatic drop-off detection, specifically designed for bootstrapped founders and solo operators who need quick setup and actionable insights without complexity.
Explore all 5 alternatives to Exstats below.

RGAnalyzer turns sales CSV/Excel files into clear, ready-to-present commercial reports.
It is built for people, students, freelancers and small teams who need to understand their sales data quickly, without setting up a full BI project or connecting a CRM.
Instead of starting from a blank spreadsheet or building a dashboard from scratch, users can upload a sales file and generate a structured report with KPIs, charts, data quality checks and professional exports.
RGAnalyzer is useful for:
• small businesses that manage sales data in Excel or CSV files
• freelancers and consultants who need quick commercial insights
• students and apprentices working on sales analysis or reporting projects
• teams that need a readable report before investing in a full BI setup
• anyone who wants to turn a raw sales export into something clear and shareable
With RGAnalyzer, users can generate:
• sales KPIs
• charts and visual summaries
• top clients and products
• revenue concentration analysis
• data quality checks
• column verification when the file is ambiguous
• PDF, Excel and PowerPoint exports
The goal is not to replace a CRM, ERP or full BI platform.
The goal is simpler: help users move from a raw sales spreadsheet to a clear business report they can read, share or present.
Sales files can contain sensitive business information: customers, revenue, margins, products, commercial trends or even personal data.
RGAnalyzer is designed with this in mind.
Uploaded files are used only to produce the requested analysis and exports. They are not used to train or improve an AI model, and they are not used to feed future responses or other users’ analyses.

Hey everyone, For the past couple of months, I’ve been building something to solve a pain I’ve had for years: every time I build a product, I also have to build a separate dashboard for it.
So, as you probably guessed, I automated it.
In short, here is what the product does in a nutshell:
Connects to your Database Software (MySQL, PostgreSQL, MongoDB)
Lets you start asking question like: "Show me a list of my customers"
The AI writes the SQL query, executes it, and builds a nice table for you as a response.
You can then build a custom dashboard with the results, so you don’t have to ask the same question again and again.
It can build charts, tables, KPIs…
If we had to go with the normal road, you need to write SQL query, build REST APIs, create front-end components and deploy changes. Every new insight means another engineering task.
I am thinking this problem is not just mine, many product builders have probably experienced it. Since it's not public yet, I am looking for some advice about the market fit and the idea itself.
If this sounds interesting, you can check it out at Query.Design. You can sign up for an account (it asks for a payment method for the free trial since the AI models cost money). If you’d like to try it without adding a payment method, just sign up and comment here with the last three words of your email address, and I’ll unlock it for you.
Fusedash and Verita both offer fully free plans with decision-ready analytics capabilities. Fusedash stands out for teams wanting AI-powered data chat, while Verita excels if you need no-code dashboard building. Choose based on whether you prioritize conversational data exploration or visual dashboard creation.
Fusedash has gained significant adoption among product and data teams due to its combination of traditional dashboards and AI chat functionality. Its decision-ready approach appeals to teams wanting faster insights without extensive dashboard configuration.
We've curated 5 alternatives to Exstats on Uneed. Each alternative has been carefully selected based on features, popularity, and user feedback.
For funnel analysis: fnel is purpose-built for tracking user drop-off and conversion metrics. For custom dashboards: Verita offers the most flexible no-code builder. For AI-assisted analytics: Fusedash provides the most advanced natural language querying. For multi-source data: Verita and Fusedash both handle diverse data inputs effectively.