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Alternatives

Products that do what Infinite does

OS runtime unifying GA4, PostHog, + Stripe into a local db

  1. 1
    bit.io130

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  2. 2SG
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    Chartbrew159

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    8base211

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    Infinite228

    Go live and make your sales infinite

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  6. 6
    Dropbase227

    Turn your CSV and Excel files to live databases, instantly.

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    Nabubit203

    Your database design copilot

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  8. 8
    TABLUM.IO159

    Turn CSV, XML & JSON into a live analysis-ready SQL database

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  9. 9

    GTM workflows with best data enrichment

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  10. 10

    Integrate GSheets with any system using Node.js and npm

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  11. 11SB
  12. 12DL

    2014 · databaselabs.io

  13. 13SA

    We'd like to show you Storex, a database abstraction layer that allows you to move your database interaction code between client- and server-side. By surrounding it with modular, recombinable packages for common problems such as schema migrations, it's possible to re-use logic touching the database across a wide variety of databases, allowing you to develop your code entirely in-browser in your daily development workflow, and then move your database to PostgreSQL/MySQL back-end once you're ready. Storex was designed modularly enough to easily be adapted to mBaaS like Firebase, which is…

    2019

  14. 14AS

    Hi HN, we're Eric and Dean, creators of SchemafreeSQL. Its roots go back to an on-line Web App Development Environment we developed back in 1999. It was comprised of an IDE, Web Server, Object Store, Virtual File System, Template System, and polyglot (Java, JavaScript, and Python). Of course, we named it “.OS”. Then we ended up dropping it. But that's a story for another time. It was the ease of use of the Object Store from .OS that we really missed, which brings us back to SchemafreeSQL. It provides an enhanced API to your SQL Database which allows it to function as a Schemaless…

    2022 · schemafreesql.com

  15. 15GA

    Hello HN! These last few months I've been working on my first open source project: an embedded database written in pure-go. That took me some months, as I had to learn how to deal with such large packages. Until then, all packages I had made were quite small an did not require much. I usually did not have to worry about things like allocation optimization and instance pools until This project. It started when I wanted to make a port of a tool to a TUI environment. I'm actually used to working with TUIs in golang, so that was my language of choice. The tool I wanted to port is written in…

    Feb 2026

  16. 16MC

    We moved our expensive long-running jobs to Hetzner while keeping the web nodes on good-old Heroku. And we took the chance to move the jobs back to the monolith from very difficult to maintain Fargate microservices. Kamal from Basecamp enabled us to do this in a straightforward way

    2023 · happyscribe.com

  17. 17DG

    Definite is a data-stack-in-a-box. We give you ETL (connectors to 500 data sources), a data warehouse, and BI (reports & dashboards) in one app. We have a built-in modeling layer for core metrics and an AI assistant to answer questions about your business. Here's a 3 minute demo: https://www.youtube.com/watch?v=_YjXXljXV9I Since we're handling ETL, we already know what each source looks like and have pre-built data models for them. This means you can instantly build a report that connects both Hubspot and Stripe data or Klaviyo and Shopify data. We're working closely with…

    2023 · definite.app

  18. 18SA

    When Google forced the switch from UA to GA4, I found myself struggling to understand my magazine's performance metrics (I occasionally edit a magazine along with my full-time job). So I built a dashboard that pulls GA4 data and presents it in a clean, intuitive interface focused on metrics that actually matter. It made the job of pulling reports and usage stats very simple for my website and greatly improved my daily productivity. At this stage, it was running on localhost on my machine and during this project, I ended up learning React (coming from a pure C/C++ world). I showed it to…

    2025 · scottfish.com

  19. 19SD

    Hey Hacker News! Last week we made the codebase for product 100% open source. This week we shipped a dashboard to manage connectors, as well as integrations with Google Drive, Zendesk, Notion, and Confluence. This means Sidekick is now the fastest way to sync data from these tools to a vector database. Why is this important? For developers building LLM apps, data integrations are often the least interesting and most time consuming part of the process. For those that don’t want to roll their own ETL, Sidekick is an opinionated tool that lets them get an API endpoint to run semantic searches…

    2023 · app.getsidekick.ai

  20. 20EA

    Yet another "talk to your data and build a dashboard" app, where data does not leave your browser. You ask a question, agents produce multiple SQL queries to in-browser sqlite, never seeing results, and write dashboard configuration code. The data you analyze will be indexed with a local semantic index (embeddings generation + sqlite vector search fully local). Next, sandboxed QuickJS runs this code to produce rich dashboards directly in your browser, no backend attached. This is a fully frontend app (except OpenRouter or other remote LLM). All data sent to LLM's is heavily sanitized and…

    Jun 2026 · eatmydata.ai

  21. 21SU

    Hey HN! Vinesh, Ian, and Kunal here. We’re building Bracket (YC W22), a bidirectional ETL platform — software that syncs data two ways between your data stack and the spreadsheet tools that your business teams rely on (e.g. Google Sheets, Airtable, and Notion databases), with the ability to add transformation logic (like SQL statements or MongoDB aggregation statements) in between. (https://www.usebracket.com/) In other words, if you want to join columns from two Postgres tables, sync the result to an Airtable table, and allow your Airtable users to edit certain fields from…

    2022 · usebracket.com

  22. 22QD

    I'm building a privacy focused analytics tool, using WebAssembly and DuckDB. You can upload your files (CSV, JSON and Parquet), and interact with them as where they a SQL Server. Your data never leaves your computer, however I do track page views and visitors using Plausible. The next steps are to add forecasting and segmentation, as well as some data visualisation capabilities. I would love to hear your opinion. All code for the repo is available here: https://github.com/dilovancelik/client_side_analytics

    2024 · dilovancelik.github.io

  23. 23EY

    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

  24. 24AD

    I'd like to share a project I've been working on for the past few months. It's a distributed workflow engine written entirely in Go. Some highlights: * Tasks are executed in a Docker container * Can run stand-alone or distributed * Highly extensible * Able to enforce limits (CPU/RAM) per task * Web UI Would love the get your feedback on it, and find out if this could be useful.

    2023 · github.com

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