Alternatives
Products that do what Cogent DataHub software from Skkynet does
Connect your industrial data, securely.
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- 2DA
Hey HN! I’ve written a bunch of WebSocket servers over the years to do simple things like state synchronization, WebRTC signaling, and notifying a client when a backend job was run. I realized that if I had a simple way to create a private, temporary, mini-redis that the client could talk to directly, it would save a lot of time. So we created DriftDB. In addition to the open source server that you can run yourself, we also provide https://jamsocket.live where you can use an instance we host on Cloudflare’s edge (~13ms round trip latency from my home in NY). You may have seen my…
2023 · driftdb.com
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- 8SO
Nov 2025 · github.com
- 9IB
I got tired of the overhead required to run even a simple data analysis - cloud setup, ETL pipelines, orchestration, cost monitoring - so I built a fully local data-stack/IDE where I can write SQL/Py, run it, see results, and iterate quickly and interactively. You get data lake like catalog, zero-ETL, lineage, versioning, and analytics running entirely on your machine. You can import from a database, webpage, CSV, etc. and query in natural language or do your own work in SQL/Pyspark. Connect to local models like Gemma or cloud LLMs like Claude for querying and analysis. You…
Apr 2026 · stream-sock-3f5.notion.site
- 10PC
Hello HN, we’re Ghalib and Nathan from Polytomic. Today we’re launching our second product, Polytomic Connect: https://www.polytomic.com/connect (documentation here: https://apidocs.polytomic.com). Connect is an API you can use in your own products to either pull your customers’ data into your own systems, or push data from your own systems to your customers’, or both. We have first-class support for data warehouses too. And there's a self-hosted deployment option. You can set up automatic data syncs in any direction between data warehouses, databases (including CDC…
2024
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Skip the setup and run OpenClaw & Hermes, fully managed
18d ago · cloudways.com
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Hey HN, we're Evis and Nick, we're excited to be launching Neosync on HN! Neosync is an open source data replication and anonymization project that helps developers create safe, anonymized test data and sync it across all environments for high-quality local, stage and CI testing. This is how it works: 1. You select a job type. Today we support data sync jobs (these sync data between two databases and run on a schedule you define) and a data generation job (this generates synthetic data from scratch and sends it to a destination). 2. Next you define your source database and a destination(s)…
2023 · github.com
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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
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Zero-config hosting to launch specialized AI teams instantly
Feb 2026 · yourclaw.cloud
- 19OS
Hey HN, we're Evis and Nick from Neosync (https://www.github.com/nucleuscloud/neosync). Since we last introduced Neosync on HN 4 months ago, we’ve made a lot of progress and we’re excited to be launching several new features. As a reminder, Neosync is an open source platform that helps developers anonymize production data, generate synthetic data, subset it and sync it across their environments for better testing, debugging and developer experience. We do all of this while handling referential integrity. Whether you have primary keys, foreign keys, unique constraints,…
2024 · docs.neosync.dev
- 20TC
Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!
Jun 2026 · atomprophet.io
- 21IB
Hey HN! Over the past few weeks, I’ve been working on DataBridge, an open-source solution for data ingestion and querying across text, PDFs, images, and videos. In our latest update, we’ve added a fully local deployment option: - No internet required – Runs entirely offline. - Customizable Models – Supports any LLM and embedding model via Ollama (with options for any other private providers) - Extensibility – You can plug in your own models or tools easily. This local-first approach ensures better privacy, security, and flexibility, especially for teams dealing with sensitive data. You can…
2025 · github.com
- 22IB
Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
Oct 2025 · github.com
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gm gm, We’re excited to show our project, Hive Network, a new frontier for decentralized AI agents that operate both on-chain and off-chain. Our mission is to make AI more powerful and transparent, and we’re inviting you to join us in this revolution. What is Hive Network AI? -- Hive Network AI is a platform where developers can create, deploy, and manage AI agents that function autonomously across blockchain and traditional networks. Our system addresses significant issues in the AI space, such as the lack of transparency, difficulty in monetizing models, and insufficient research funding.…
2024 · hivenetwork.ai
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