Compare the Top AI Data Analytics Tools that integrate with Reddit as of October 2025

This a list of AI Data Analytics tools that integrate with Reddit. Use the filters on the left to add additional filters for products that have integrations with Reddit. View the products that work with Reddit in the table below.

What are AI Data Analytics Tools for Reddit?

AI data analytics tools are AI-powered software tools designed to analyze large datasets and identify patterns. They can be used for a wide range of tasks such as predicting customer demand, detecting fraud, or spotting trends in sales data.These tools typically use machine learning algorithms that enable them to adjust their predictions and recommendations over time.They also tend to be integrated with common business systems such as ERP or CRM software. Compare and read user reviews of the best AI Data Analytics tools for Reddit currently available using the table below. This list is updated regularly.

  • 1
    Quaeris

    Quaeris

    Quaeris, Inc.

    Align analytics to your everyday business workflows. Your business relies on people, data and documents, but the process of using them is broken. QuaerisAI enables seamless downstream workflows across your People, Documents and Data Assets. Use natural language search on data, documents and collaborate in private or within Communities - all in one platform! QuaerisAI offers time savings of at-least 30 minutes to an hour/day/resource - imagine the productivity enhancements you give your users without the expense of buying and consolidating a bunch of AI tools. Quaeris can be rolled out to team of 10s or 1000s of users seamlessly within a matter of days - without much need of IT, and that is why IT & data teams love us!
    Starting Price: $100 per month
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  • 2
    Deepnote

    Deepnote

    Deepnote

    Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection
    Starting Price: Free
  • 3
    Capalyze

    Capalyze

    Capalyze

    Capalyze is an AI‐powered analysis & reporting tool that lets users collect data from websites, social media, reviews, and other sources via prompts, then automatically generate summaries, charts, visualizations, and professional-quality reports. You tell it what you want (e.g., trends, sentiment, product comparisons, user feedback), choose which sources, and it pulls the data, structures it, classifies content (e.g., positive/negative reviews, common complaints), and displays insights with visuals and options for exports. It supports “Report Mode” for bridging raw data to polished reports, multiple chart styles, dashboards, and templates for typical business use-cases (lead gen, product idea formation, content strategy, competitive analysis). Users can also extract leads (e.g., from public bios), summarize customer feedback, monitor sentiment, compare marketplace listings, or create inspiration boards.
    Starting Price: $8.70 per month
  • 4
    Incredible

    Incredible

    Incredible

    Incredible is a no-code automation platform powered by agentic AI models designed for real work across applications, letting users create AI “coworkers” that perform complex, multi-step workflows merely by describing tasks in plain English. These AI agents integrate with hundreds of productivity tools, CRMs, ERPs, email systems, Notion, HubSpot, OneDrive, Trello, Slack, and more to perform actions like content repurposing, CRM health checks, contract reviews, and content calendar updates without writing any code. Its architecture supports parallel execution of hundreds of actions with low latency and handles large datasets efficiently, dramatically reducing token limitations and hallucinations in data-critical tasks. The latest model, Incredible Small 1.0, is available in research preview and via API as a drop-in alternative to other LLM endpoints, offering high-precision data processing, near-zero hallucination, and enterprise-scale automation.
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