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Alternatives

Products that do what DataSnap does

DataSnap: Your data, your rules-Get messages that truly fit

  1. 1

    Chat with your business data inside Claude, ChatGPT and more

    Jun 2026 · databox.com

  2. 2

    Human behavior is programmable. A book on product design.

    2018

  3. 3

    Product analytics told you what happened. We handle it.

    25d ago · humanbehavior.co

  4. 4

    Data analytics and BI for non-tech managers

    2024

  5. 5
    Narrator175

    All your data, one table. A new standard for data modeling.

    2020

  6. 6

    The AI user research agent for busy product teams

    Dec 2025 · userology.co

  7. 7
    Morph 1.0320

    AI-powered BI dashboard across your SaaS data

    2023

  8. 8DF

    Creating data visualizations with AI nowadays often means chat, chat and more chats...and writing long prompts can be annoying while they are also not the most effective way to describe your visualization designs. Data Formulator blends UI interaction with natural language so that you can create visualizations with AI much more effectively! You can: * create rich visualizations beyond initial datasets, where AI helps transforming and visualizing data along the way * iterate your designs and dive deeper using data threads, a new way to manage your conversation with AI. Here is a demo video:…

    2024 · github.com

  9. 9

    Analytical skills for data agents running on Supabase

    Apr 2026 · dreambase.com

  10. 10RW
  11. 11BA

    Bin is an AI business intelligence analyst that turns data into dashboards. Our goal is to make creating dashboards simpler to do than no-code alternatives like PowerBI and Tableau while preserving the powerful customization abilities of raw SQL and Python. Here’s a quick demo: https://www.youtube.com/watch?v=Fsh8M3hIjDA. Customers from our previous product wanted custom dashboards but didn’t want to spend on technical staff to build them. They wanted customizability of the dashboard yet simplicity of the building experience. So, we studied the approaches of Devin, Claude…

    2025 · bi.new

  12. 12SP

    Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…

    2020

  13. 13DA

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020

  14. 14

    No-code data aggregation & export

    2024

  15. 15

    A guide for anyone who works with data

    2017

  16. 16

    All your startups data in one place

    2024

  17. 17IB

    I lead design on a B2B SaaS product. It's quite data-heavy in places. Using placeholder content in data tables, checkout summaries and dashboards is a big no-no for us. It might seem like using random numbers saves time at first, but sooner or later there's documentation to write and plenty of clarifications to be made. It throws off customers during interviews – "hey, that's not really my sales target!". It confuses stakeholders at review time– "what's this data point supposed to be?" I built a Figma calculator plugin for my team so that they spend less time doing mental maths. It…

    2025 · figma.com

  18. 18OS

    Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…

    2025

  19. 19DF

    Hi everyone, we are excited to share with you our new release of Data Formulator. Starting from a dataset, you can communicate with AI agents with UI + natural language to explore data and create visualizations to discover new insights. Here's a demo video of the experience: https://github.com/microsoft/data-formulator/releases/tag/0..... This is a build-up from our release a year ago (https://news.ycombinator.com/item?id=41907719). We spent a year exploring how to blend agent mode with interactions to allow you more easily "vibe" with your…

    Nov 2025 · data-formulator.ai

  20. 20TZ

    2017 · gpestana.gitbooks.io

  21. 21

    Your Agents. Your Business. Connected.

    Aug 2026 · salestrics.com

  22. 22AS
  23. 23

    Build marketing dashboards in 60 seconds using AI

    Dec 2025 · 1clickreport.com

  24. 24
    Ovandor23

    Personal Intelligence. Your thinking, compounded.

    Aug 2026 · ovandor.com

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