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AI · alternatives · 2026

24 alternatives to Seemore Data

40% autonomous cost reduction on Snowflake environments

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1
    Capalyze▲809

    ChatGPT for datavores: scrape → ask → visualize

    2025 · capalyze.ai · its alternatives →

  2. 2
    Clay 2.0▲575

    Data-driven AI prospecting, enrichment & personalization

    2023 · clay.com · its alternatives →

  3. 3

    Self-serve product analytics built for the data cloud

    2024 · amplitude.com · its alternatives →

  4. 4
    Astrato▲72

    Play the data where it lives!

    2021 · astrato.io · its alternatives →

  5. 5

    The AI database agent that transforms data into action

    2025 · teable.ai · its alternatives →

  6. 6

    Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make…

    Jul 2026 · microsoft.github.io · its alternatives →

  7. 7
    intura▲169

    Compare, test, and optimize AI models

    2025 · intura.co · its alternatives →

  8. 8

    I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…

    Apr 2026 · github.com · its alternatives →

  9. 9
    Exifa.net▲122

    Your AI assistant for understanding EXIF data

    2024 · share.streamlit.io · its alternatives →

  10. 10

    I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…

    2022 · benchmark.clickhouse.com · its alternatives →

  11. 11

    AI-based cloud cost reduction platform

    2023 · profisealabs.com · its alternatives →

  12. 12

    AI powered automated data stories in plain English

    2021 · its alternatives →

  13. 13

    Pixel density converter widget for Mac

    2015 · its alternatives →

  14. 14

    Incredibly detailed weather app

    2019 · bjango.com · its alternatives →

  15. 15

    Hey HN, I’m the author. I built Misata because existing tools (Faker, Mimesis) are great for random rows but terrible for relational or temporal integrity. I needed to generate data for a dashboard where "Timesheets" must happen after "Project Start Date," and I wanted to define these rules via natural language. How it works: LLM Layer: Uses Groq/Llama-3.3 to parse a "story" into a JSON schema constraint config. Simulation Layer: Uses Vectorized NumPy (no loops) to generate data. It builds a DAG of tables to ensure parent rows exist before child rows (referential integrity).…

    Dec 2025 · github.com · its alternatives →

  16. 16

    Open-source Anomaly detection on SQL data

    2021 · github.com · its alternatives →

  17. 17

    I started building this 10 months ago, largely using agentic coding tools. I've stayed very involved in the code base and architecture, and have never moved faster in my life as a dev. The word processor engine and rendering layer are all built from scratch - the only 3rd party library I used was the excellent Y.js for the CRDT stack. Would love some feedback!

    Mar 2026 · revise.io · its alternatives →

  18. 18OO

    Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…

    2022 · objectiv.io · its alternatives →

  19. 19
    decube▲80

    Be the first to learn and act on data quality issues.

    2022 · decube.io · its alternatives →

  20. 20

    I’ve been a long-time Snowplow user and unofficial evangelizer. I have deep respect for its founders, Alex and Yali, who I met a few times. What made me fall in love with Snowplow was that it was unopinionated, gave access to raw event data, and was truly open source. Back in 2013, that changed everything for me. I couldn’t look at GA the same way again. Over the years, analytics moved into SQL warehouses driven by cheaper CPU/storage, dbt, reproducibility, and transparency. I saw the need for a democratized Snowplow pipeline and launched a hosted version in 2019. In January 2024,…

    Oct 2025 · opensnowcat.io · its alternatives →

  21. 21

    Hi! We are excited to announce the second release of Desbordante — an open-source, high-performance data profiler that is capable of discovering and validating many different patterns in data using various algorithms. Unlike existing data profilers, Desbordante focuses on discovering complex patterns in data, which are notoriously hard to extract. Since its inception in 2019, it has become the fastest open-source tool for these tasks. It also offers an array of patterns which have no alternative implementations. With this release, Desbordante now supports 17 types of patterns, such as:…

    2024 · github.com · its alternatives →

  22. 22

    Get instant product insights from your personal data expert

    2024 · its alternatives →

  23. 23S5

    I'm a former YC founder, and I've been working with some friends from Google to build Espresso AI, an ML-powered Snowflake optimizer. We use LLMs to analyze and predict your SQL workload and run your warehouses more efficiently. Our first few customers are seeing Snowflake savings from 30% to 70%. We're launching out of beta, and if your team uses Snowflake we'd like to help you cut down your bill. You can set up Espresso in under 15 minutes with the instructions here: https://espresso.ai/onboarding Before turning anything on we'll send you a savings estimate based on your…

    2024 · its alternatives →

  24. 24

    Transforming the way the world builds software

    2025 · synapt.ai · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →