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Alternatives

Products that do what Artie – Real-time data replication to your warehouse, now self-serve does

Hey HN, cofounder of Artie here. We’ve built a real-time data replication tool that captures every row-level change in your source database and streams it to your warehouse in under 60 seconds. The last time I posted here, people had to book a call with us in order to access Artie. Today, that’s no longer the case. You can now connect your source and destination and start streaming immediately. I spent years of my career building large-scale data pipelines and experienced how difficult it was to get real-time data firsthand. I believed there must be a better way to stream data into our…

  1. 1
    InstantDB329

    Complete backend with auth and storage in one prompt

    Apr 2026

  2. 2B2

    This is a long-running project that started as the proverbial need to scratch my own itch and then somehow evolved into a full-time job of the past 6 years. Link: https://bvckup2.com I thought I'd do a Show HN for two reasons. 1. I obviously want to show my baby to those who haven't seen it. Its primary purpose is to do very fast file replication. If you are familiar with "robocopy /mir" - same idea, but on steroids. Lots of them. It can be used for both mirroring and archiving backups, among other things. It is light, very small and it is really quite fast. Half of the…

    2019 · bvckup2.com

  3. 3

    Connect your data, where you want it, in milliseconds

    2023

  4. 4PI

    Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…

    2018 · parabola.io

  5. 5

    Ready-made AI analytics skills for your business data

    Jun 2026 · databox.com

  6. 6

    Automatically collect data & retroactively send to 80+ tools

    2020

  7. 7SS
  8. 8

    The fastest way to build your data warehouse

    2023

  9. 9BA

    Hi fellow HNers, We just opened up Bitdeli for free public beta at https://bitdeli.com Bitdeli allows you to process real-time data with plain Python scripts and access the results over a friendly HTTP API. You can use it to create live visualizations and dashboards without having to worry about servers. See examples here: http://bl.ocks.org/2009621 and http://bl.ocks.org/1983818 We would love to hear your feedback and comments!

    2012

  10. 10

    The smartest way to replicate data into your warehouse

    2015

  11. 11
    1MB.IO14

    Get paid for the browsing data that trains AI

    Apr 2026

  12. 12RR
  13. 13
    ArthiQ9

    AI-powered stock research and market insights

    Jun 2026 · arthi-q.vercel.app

  14. 14FA

    Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…

    Jul 2026 · github.com

  15. 15PT

    The idea is simple: AI agents need real-time data to be useful. But streaming real-time data into your data warehouse means you need the data warehouse to be up 24/7. This is expensive and wasteful. What if you could spin up an ephemeral data warehouse only when your agent needs it, and get real-time data at the same time? The solution: Polynya replicates your data into Iceberg, and gives your agent an ephemeral ClickHouse instance on demand. Polynya also provides persistent workspaces — collections of views that survive across sessions. So from your agent's point of view, it's a…

    Apr 2026 · polynya.dev

  16. 16EY

    Hey HN, We're thrilled to introduce you to Edginary, our new groundbreaking startup set to change how developers access and scale their data globally. We've all felt the pain points of dealing with centralized data sources: performance bottlenecks, reliability issues, and the dreaded revenue loss due to downtime. Edginary is here to tackle these issues head-on. Edginary is a serverless platform that moves your data close to your users in real-time so they can access it in ultra low-latency. By reducing the load on your servers and databases, we aim to not only improve performance and…

    2024 · edginary.io

  17. 17GT

    Hi HN! I just released a blog on the fastest, easiest, and most collaborative AI data version control tools out there. If you’ve been iterating on AI datasets lately, you know how annoying and difficult it is to version and share your data. If you want a detailed comparison on the best data exploration and versioning options from Oxen.AI (where I am currently building a solution), Hugging Face, DVC, etc. check out the blog and lmk what you think:) Here’s the link: https://www.oxen.ai/blog/the-best-ai-data-version-control-to...

    2024 · ghost.oxen.ai

  18. 18IP

    Hi HN, I’m Ashu, founder of VideoDB. I’ve spent a big chunk of my life building video infrastructure. Not video creation. Video plumbing. The stuff you only learn after production breaks: timebases, VFR, keyframes, audio sync drift, container quirks, partial uploads, live streams, retries, backpressure, codecs, ffmpeg flags, cost blowups, and “why is this clip unseekable on one player but fine on another”. This week we shared VideoDB Skills, a skill pack that lets AI agents call those infra primitives directly, instead of you wiring pipelines with screenshots plus FFmpeg glue. Repo:…

    Mar 2026

  19. 19RA

    AI tool that scrapes and analyzes 1000s of data points from platforms like G2, Reddit, Twitter, and SEMrush to solve a major growth bottleneck: manual market research. The goal is to help marketers, startups, and product teams save time by automating competitive analysis, sentiment trends, and growth opportunity discovery. Instead of spending hours manually researching, you can get actionable insights in seconds. Free Trial : You can generate 1 free report.

    2025 · rocktangle.com

  20. 20SR

    Hi HN, we are so excited to be sharing this on here! Siege is the fastest and the simplest way to spin up a real-time data pipeline, which you can then query, filter, visualize with just clicks of some buttons, no need for any instrumentation or code changes. It works by capturing JSON data from your API transactions, transforming this data, and then storing it in an optimized columnar database for easy and fast querying. I've put together a 3-minute demo on Loom just now, showing you how I made real time dashboards in minutes:…

    2024 · siegeai.com

  21. 21AA

    Hi HN! Last night, I live streamed myself coding this Llama 2 Agent on a Single GPU (Colab). After 6 hours it actually has some good results. How it works is it takes in your intuition (e.g. "I think x would be cool") and develops a business idea (with a name and branding colors) and a business plan. After the business plan is developed, it criticizes this plan recursively until the "Investor" prompt is satisfied with the plan. After all this it will generate the final MVP idea and pass it to a the React Engineer Agent I live coded 2 days ago…

    2023 · github.com

  22. 22RT

    We are working on a product which makes stream processing easy for data analysts and data scientists. It’s a higher level alternative to Flink, Kafka Streams and Spark Streams. As well as making stream processing simpler, we also felt that lots of people were building these AWS stream processing platforms based on Kafka and something like Flink so wanted to offer this as a service. We would welcome any input on the space or approach: Home page: http://Timeflow.systems Demo: https://youtu.be/fGfgBaHXOkE

    2020

  23. 23IS

    Hey HN! We recently launched a new capability to Hasura GraphQL Engine: Streaming Subscriptions for Postgres. Today we have a variety of solutions to ingest and store a large amount of data or a stream of data. However, once this data has been captured, securely exposing this data as a continuous stream to a large number of HTTP clients concurrently is a challenge. These are the challenges that Hasura aims to address: 1. Allow for Authorization rules so that clients can only consume the subset of the stream they have access to 2. Prevent missing events and allow each client to move through…

    2022 · hasura.io

  24. 24

    Blazing fast real-time apps with Bun & Electric SQL

    26d ago · github.com

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