Alternatives
Products that do what Xenoeye – analyze network without AI using netflow, PostgreSQL, Grafana does
Sorry for the slightly truncated title. It should have been "Network traffic analysis and monitoring without AI, using netflow-family protocols, PostgreSQL or ClickHouse, Grafana, and some scripts". In 2026, it might seem a bit presumptuous to announce AI-free software on HN. But building a netflow analyzer manually is no less presumptuous! There are quite a few xFlow analyzers out there these days, and I'm constantly reminded of this. But I think there's always room for an alternative approach. After all, that's how software evolves, isn't it? So, how does xenoeye differ from popular (at…
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Excited to share Nexa's public beta and get feedback from the HN community! -- The Problem Companies today spend way more time querying and analyzing data than acting on it. That needs to be flipped. At startups without data teams (who we’re built for), engineers waste precious time writing SQL queries for others (e.g. Growth, Product, Sales), and then those teams spend hours manually analyzing and formatting the data to make decisions. All of this is time we can give back with AI. -- Introducing Nexa With Nexa, connect your MySQL / PostgreSQL database or upload CSVs and extract…
2024 · nexahq.com
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There's been some interesting work lately with BrowserAI (runs LLMs in the browser using WebGPU) enabling local, private AI processing. Now, the team has released BrowserAgent - a no-code tool built on top of it. BrowserAgent lets you create custom AI workflows using a drag-and-drop interface, all within your browser. This means personalized web summarizers, research assistants, or content generators can all run locally with no cloud costs and full data privacy. Check it out here - https://browseragent.dev Key features include: - No-Code Workflow Builder: Design custom AI agents…
2025 · browseragent.dev
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Self-hosted, privacy-first analytics in a single Go binary. No Docker, no SDKs, no bloat, just POST JSON and go. Pageviews, custom events, funnels, cohorts, path analysis, and a built-in MCP server for AI agents. - var-raphael/Gnat
23d ago · github.com
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The goal was to bring down the cost at the context eng. level. We do it with Layout Memoization. Instead of dumping HTML into the context window, we have built a continual learning browser harness (read only for now). We have built an early prototype for you to try out, where you can: 1. Spins up a browser instance 2. Extract any structured or tabular data from anywhere on the open-web 3. And you can do all this at the cost of a vector search Would love to hear your thoughts on this. Thanks for taking the time to read it.
7d ago · makralabs.org
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Hi HN, we’re the cofounders of Lago:an AI-agent powered Chrome extension that becomes every founder’s best friend when accounting season hits. Well automates supplier invoice collection and pipes the data directly into your accounting tools, ERP, or dashboards — with zero effort. Why We’re Building Well: Automating the Missing Half of Payments Our website is at https://wellapp.ai/ and our Github is here: https://github.com/WellApp-ai/well. --- Our Background We’re a team of infrastructure builders with deep roots in European fintech. Over the last decade,…
2025
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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
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Hey, I'm Nenad. I built Grafly (https://grafly.io) because I kept reaching for different tools just to sketch out a quick architecture diagram and hating either the UI, color schemes, usage patterns or that I had to log in, or have my doodles stored on someone's server. It's a React/React Flow app that runs entirely in the browser meaning that everything saves to localStorage, nothing leaves your machine. You get basic shapes, AWS/GCP icons, edges with waypoints and shareable URLs that encode the whole diagram in the query string (no backend, just LZ compression). There…
Mar 2026 · grafly.io
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Hi HN – this is Peter from DBOS here with Qian (qianli_cs) and Jeremy (jedberg). We’re building an open-source, lightweight durable workflows library on top of Postgres. Ever since we first launched on HN last year, we’ve been blown away by the support, feedback, and response we’ve received from the community. We've realized durable workflows are critical for everything from business processes to AI automation to data pipelines, but most existing durable orchestration tools are either too heavy or too complicated for most applications. Instead, we're building something lightweight, simple,…
2025 · github.com
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Hey HN, After GPT-3 created waves in the tech industry, a lot of AI tools were emerging and with that, some AI website builders But the results seemed way too generic to us. It felt like the developers were rushing to catch the wave instead of building a proper tool We took our time, did months of RnD and finally came up with something better than what others in the market are doing. It’s got better design output. While it’s still in beta, I wanted to show HN what we did. Will appreciate the feedback when you guys try it out. Here is the link to signup for the beta:…
2024 · dorik.com
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I have a weird habit of guessing whether something's AI before I check, especially on LinkedIn and Reddit (for obvious reasons). The detectors I used to confirm were mostly junk and built to sell you a "humanizer" upsell, so I went and read the actual research on what gives AI text away in 2026, then built my own (no login and free) The main sources I used are these: https://arxiv.org/abs/2406.07016 https://arxiv.org/abs/2403.07183 https://aclanthology.org/2025.coling-main.426/ https://arxiv.org/abs/2410.16107…
Jun 2026 · isitslop.xyz
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Hey HN! I'm one of the cofounders of Sourcebot, an open source alternative to Sourcegraph. Sourcebot lets you index thousands of repos across multiple platforms (GitHub, GitLab, Bitbucket), and gives you a powerful interface to search across them. You can learn more in our original HN launch post: https://news.ycombinator.com/item?id=41711032 We just added an AI code review agent that reviews your PRs and automatically detects issues that a human reviewer may have missed. We've been using an AI code review agent for a few weeks now, and it regularly catches issues that we…
2025 · docs.sourcebot.dev
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Hi HN — I’m Abhi. We built Agint so PMs and engineers can design and edit software as a graph — architecture first — iterate with fast visual feedback, then generate deployable code from it when it’s ready. We presented underlying approach at NeurIPS (Deep Learning for Codegen) as an Agentic Graph Compiler: The graph (structure + types + semantic annotations) is the source of truth, and code is a compilation/export target. Paper: Agentic Graph Compilation for Software Engineering Agents: https://arxiv.org/abs/2511.19635 Live Demo: https://flow.agintai.com…
Jan 2026 · flow.agintai.com
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I've been building a bunch of random side projects, as I'm sure we all are. Most analytics tools were either too heavy or required juggling multiple free tiers across different subdomains. After looking what's out there I couldn't find a lightweight analytics platform that worked on the free tier of fly.io. It's a single Go binary using DuckDB for events and SQLite for metadata, so there are no external dependencies to manage. Drop a script tag on your site and it auto-captures pageviews and clicks. The part I'm most excited about: it uses an LLM to automatically name raw click events into…
Feb 2026 · github.com
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Hey HN community! Over the past year, AI copilots like Cursor and Windsurf have fueled a dramatic shift in software engineering workflows. And yet, many technical users in adjacent fields like data science and analytics have been unable to reap the rewards of this revolution. It turns out that the existing tools are a poor match for analytical workloads. Beyond that Cursor and similar tools have very poor support for Jupyter notebooks, data science is a fundamentally different discipline from software engineering and we believe it requires a correspondingly different tool. We're excited to…
Sep 2025 · sphinx.ai
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URL: https://hnnoai.readpipe.org/
22d ago · hnnoai.readpipe.org
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