Alternatives
Products that do what Omnifact – Self-Hosted, Privacy-First AI Platform for Enterprise does
Hi HN, we're Patrick and Florian, and we created Omnifact out of frustration with the underwhelming impact of AI on business productivity. After working with large companies struggling to adopt AI in a meaningful way due to data privacy concerns and vendor lock-in, we decided to build the platform we wished we had. Omnifact is designed for organizations that want to make use of generative AI and RAG without compromising data security or flexibility. Here's the tech breakdown: - Deployment Flexibility: Omnifact can be used as a SaaS in our Azure-based cloud, deployed within a company's…
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Hey HN, I'm Adithya, a 20-year-old dev from India. I have been working with GenAI for the past year, and I've found it really painful to deal with the many different forms of data out there and get the best representation of it for my AI applications. That's why I built OmniParse—an open-source platform designed to handle any unstructured data and transform it into optimized, structured representations. Key Features: - Completely local processing—no external APIs - Supports ~20 file types - Converts documents, multimedia, and web pages to high-quality structured markdown - Table extraction,…
2024 · github.com
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Hey HN! Over the past few months, I've been working on building Omni - a workplace search and chat platform that connects to apps like Google Drive/Gmail, Slack, Confluence, etc. Essentially an open-source alternative to Glean, fully self-hosted. I noticed that some orgs find Glean to be expensive and not very extensible. I wanted to build something that small to mid-size teams could run themselves, so I decided to build it all on Postgres (ParadeDB to be precise) and pgvector. No Elasticsearch, or dedicated vector databases. I figured Postgres is more than capable of handling the level…
Mar 2026 · github.com
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I have been working on making WebRTC + Embedded Devices easier for a few years. This is a hackathon project that pulled some of that together. I hope others build on it/it inspires them to play with hardware. I worked on it with two other people and I had a lot of fun with some of the ideas that came out of it. * Extendable/hackable - I tried to keep the code as simple as possible so others can fork/modify easily. * Communicate with light. With function calling it changes the light bulb, so it can match your mood or feelings. * Populate info from clients you control. I wanted…
2025 · github.com
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com
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We've recently made our product, ozma.io, open-source. It's a CRM/ERP platform for building enterprise systems. We believe that AI will soon handle implementing most of the boilerplate and UIs in the specialized business software. Just look at what lovable.dev does today! Soon products which make creating business software easier for developers will become obsolete, or transform into "libraries" to be used by AIs. We are losing this race, so we go the second route — publish everything and go on building other products on top of it. GitHub repo URL:…
2025 · github.com
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Hi everyone, We have been developing a platform to enable professionals to build AI assistants to help them through their work. After a few months, we realized people are trying to sell basic functionalities that can be built from scratch in a couple of hours. Due to this, individuals who are not familiar with the current SOTA are misinformed about the potential of generative models. So, we decided to open up some of our most popular templates as standalone tools for free to empower individuals and set a solid standard for what people should expect. We believe the barrier to accessing…
2024 · join.modularmind.app
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Tl;DR Save 60% of development effort building your SaaS and enterprise apps using our open-source platform, demo: https://www.youtube.com/watch?v=gob4j072Isg Hi friends, It's a bit surreal writing a Show HN post, being a HN member since 2012, but I'm still excited to be here. We are Arek and Michal (hn: mgl), and we have published Openkoda - an open-source low-code platform for the rapid development of SaaS and enterprise applications. OUR STORY We met at the university and spent the next 10 years building high-performance applications for finance, eCommerce and travel…
2024 · github.com
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Hi HN, my name is Maria, and I’m a co-founder of Maritime. We started Maritime at MIT to build infrastructure for companies that need to run thousands of isolated AI agents for their customers. Imagine you set up an agent like OpenClaw, or a personal assistant agent with a custom framework, and want to give a separate version of it to every customer/friend. Each customer needs their own agent running in an isolated microVM, with persistent state, secrets, triggers, and sleep/wake behavior. Building such scalable and secure infra will take you months and will cost hundreds of…
19d ago · maritime.sh
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Hey HN: Kaveh here, founder of https://www.usage.ai/ We help companies drive down AWS, GCP, and Azure spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. I have been building Usage AI for almost 4 years now (4 year anniversary in 1 month from now!) with an incredible group of founding people. We started as a product just to help lower AWS EC2 costs, and now we do all major AWS services (such as RDS, OpenSearch, ElastiCache, and Redshift with more on the way) and other…
2024
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2023 · layernext.ai
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Hi HN, I’m a solo founder, and I’ve been working on an AI tool that helps companies and organizations navigate and comply with EU regulations. The platform leverages AI to provide insights, research capabilities, and compliance assistance, aiming to reduce the complexity and time spent dealing with regulatory requirements. Compliance with EU regulations (like GDPR, labor laws, and industry-specific rules) can be overwhelming, especially for SMEs and startups. As someone passionate about tech and legal simplification, I saw an opportunity to create a tool that streamlines this process,…
2024
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Hey HN, I wanted to share something I’ve been working on: *RAG-Guard*, a document AI that’s all about privacy. It’s an experiment in combining Retrieval-Augmented Generation (RAG) with AI-powered question answering, but with a twist — your data stays yours. Here’s the idea: you can upload contracts, research papers, personal notes, or any other documents, and RAG-Guard processes everything locally in your browser. Nothing leaves your device unless you explicitly approve it. ### How It Works - * Zero-Trust by Design*: Every step happens in your browser until you say otherwise. - * Local…
2025 · github.com
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We love Instinct, but have been increasingly worried about the data footprint we are handing over to them, and what they might do with that data. So we built an oss self-hostable version. It includes a vault that can store cards, logins, and personal information, so it can execute complex tasks on your behalf, like: "Get me two tickets to the odyssey on saturday at my nearest theatre" "Find me the best golf grip trainer and order it for me" "Read my email and find opportunities to save money by cancelling subscriptions I don't use" The tech stack: - Eve agent framework for durable agent runs…
9d ago · github.com
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Demo starts at 50m into the video. This was a bit terrifying to record because 2am the previous night everything was totally broken after a major refactor (so that we could add external LLM support as well as local GPUs). But pressure can be a useful force :-D We start with a stack deployed on my laptop without a GPU, pointing to together.ai so we can run open source LLMs easily without having to have access to a GPU. We show simple inference through the ChatGPT-like web interface (with users, sessions etc) and then simple drag'n'drop RAG. Then we show some helix apps defined as yaml: Marvin…
2024 · youtube.com
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Eliminating 30–90% of token noise with Zero Semantic Loss.
Mar 2026
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