Analytics

Launchelion lists 21 live Analytics AI tools, each with a real launch date, community votes, and Stripe-verified monthly revenue wherever the maker has connected it. 21 launched in the past week. Browse the list below to compare features and honest traction, then pick the Analytics tool that fits.

1. Dot — Dot just launched. It answers business data questions in Slack and other chat tools, backed by a modeled view of your warehouse for trusted answers. Built for business teams that ask data questions daily, it appears here the week it went live.
2. Findly — Findly just launched. It answers data questions in chat and builds dashboards from connected sources, backed by sources like Google Analytics and data warehouses. Built for marketing and data teams, it appears here the week it went live.
3. ChartPixel — ChartPixel just launched. It turns a spreadsheet upload into charts, insights, and a slide-ready report, backed by a few-step flow with no setup. Built for people who need quick charts from data, it appears here the week it went live.
4. Sourcetable — Sourcetable just launched. It analyzes data, writes formulas, and builds charts from plain-language requests, backed by connections to databases and business apps. Built for analysts and operators, it appears here the week it went live.
5. Bricks — Bricks just launched. It turns spreadsheet data into dashboards, reports, and visuals from a prompt, backed by a familiar grid paired with an AI assistant. Built for teams building reports in spreadsheets, it appears here the week it went live.
6. Numerous.ai — Numerous.ai just launched. It runs AI prompts across rows in Google Sheets and Excel, backed by bulk categorizing, writing, and cleaning of data. Built for marketers and analysts who live in spreadsheets, it appears here the week it went live.
7. Onvo — Onvo just launched. It lets products add dashboards users can build by describing them, backed by an API to embed charts in your own app. Built for product and engineering teams, it appears here the week it went live.
8. Querio — Querio just launched. It answers business questions from your database and builds charts, backed by data exploration by chat for non-technical teammates. Built for operators and founders, it appears here the week it went live.
9. Definite — Definite just launched. It pulls data from your tools into one place and answers questions with AI, backed by a warehouse, dashboards, and an assistant. Built for small teams without a data engineer, it appears here the week it went live.
10. Zenlytic — Zenlytic just launched. It lets business users ask data questions in chat and get governed answers, backed by a semantic layer that keeps metrics consistent. Built for e-commerce and data teams, it appears here the week it went live.
11. Basedash — Basedash just launched. It builds dashboards and internal admin views from your database, backed by querying without writing SQL. Built for startup teams that need internal tools, it appears here the week it went live.
12. Fabi — Fabi just launched. It lets teams explore data, build reports, and share dashboards in a notebook, backed by SQL, Python, and natural-language prompts. Built for data teams at startups, it appears here the week it went live.
13. Julius — Julius just launched. It answers questions about spreadsheets and databases in plain language and makes charts, backed by Python and SQL it writes and runs for you. Built for analysts and founders working with data, it appears here the week it went live.
14. Rows — Rows is an AI-powered spreadsheet that imports business data, extracts information from PDFs, and analyzes it using plain-language queries. It's built for people who want data analysis without writing SQL or learning a BI tool. The spreadsheet format keeps the interface familiar while adding AI-driven analysis.
15. Deepnote — Deepnote is a collaborative data workspace for exploring data, building data apps and dashboards, and running AI agents. Everything happens inside one cloud notebook environment. It's designed for data science and analytics teams working together.
16. Polymer — Polymer is an embedded analytics platform that turns data into AI-assisted dashboards and visualizations. Teams can embed those dashboards directly into their own products through an API. It's built for teams adding analytics capabilities to their apps.
17. PostHog — PostHog is a product-analytics platform that includes session replay, feature flags, and experiments alongside AI features for diagnosing issues. It's built for product and engineering teams instrumenting their own apps. The platform bundles several analytics functions that teams might otherwise run as separate tools.
18. Powerdrill — Powerdrill is an AI workspace with memory built for data analysis and market research. Its agents learn from prior analyses rather than starting fresh each time. The tool is aimed at analysts and researchers who explore datasets conversationally.
19. Hex — Hex is a data workspace that lets users ask questions in natural language and get answers grounded in their data. It combines notebooks, dashboards, and semantic models in one place. The tool is built for data teams and analysts working directly with company data.
20. Akkio — Akkio is an AI platform built for analyzing data and automating campaign workflows. It's aimed at media agencies and data providers that need to activate data across their processes. The platform targets agency and marketing-data teams handling campaign operations.
21. Pecan — Pecan is a predictive analytics platform that builds and deploys machine-learning models to answer business questions such as churn, forecasting, and lead scoring. It's designed for business and analytics teams rather than data scientists. The platform aims to make predictive modeling accessible without deep ML expertise.