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Alternatives

Products that do what Meridian does

Know your blast radius before the attacker does

  1. 1

    Ask your cloud anything without breaking prod. Read-only.

    Jul 2026 · github.com

  2. 2

    Trace LLM requests + costs with OpenTelemetry monitoring

    Oct 2025

  3. 3

    Check if your secrets and API keys have leaked on GitHub.

    2023

  4. 4

    The Ultimate Open Source Library for Gemini & Nano

    Jan 2026

  5. 5

    Cypherace is web-based debugging tool & bug fixing engine

    2020

  6. 6AA

    We've rolled out a feature for openbase.com that we think is a DX game changer for Node devs. Since the emergence of ECMA Script modules, it's been a continuous guessing game as to what kind of exports a package has. That's never really been discoverable without using a site like unpkg, or installing the package and inspecting package.json. Openbase now displays the ES Module support level (e.g. type of exports) on all of their package pages. We added this feature because our devs are some of the folks continually caught off guard by installing an NPM dependency only to find out it's…

    2022

  7. 7GB

    Hey HN, We’re excited to share PySpur, an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows. Why we built this: Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results. In practice, achieving this reliability meant repeatedly: 1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching…

    2024 · github.com

  8. 8IB

    Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…

    Jan 2026 · github.com

  9. 9AB

    Hey everyone, My friend and I built a simple bug fixing app that listens for alerts/issues from Sentry, contextualizes it against your codebase, and any other data sources you wish to connect (right now we support Notion, Google Docs, and Slack), and deploys an ai agent to write a PR for review in Github or Gitlab to solve the bug. Our current demo shows the end-to-end process for a trivial bug fix, but we have been testing it with open source python repos like http-pie, comparing how our agent solves a bug compared to a human engineer and it gets fairly close. We are working on adding…

    2023 · resolvd.ai

  10. 10MY

    LLM observability is an absolute must-have for anyone running something in prod (or prod-like). While all the observability startups are great, you're essentially sending all your OpenAI usage history - prompts, generations, chats - to a random third party. So this script deploys a basic proxy in your Azure account, catches all incoming OpenAI requests, stores logs in your own resource group, and comes with visualizations premade (charts, timelines, chat history, cost estimation, etc). Thanks for any thoughts and feedback!

    2023 · github.com

  11. 11LH

    I got tired of: - .env files committed to Git (seen it happen 100+ times) - API keys shared in Slack - Wondering who has access to what secrets So I built Liberty - a CLI tool that replaces .env files with hardware-bound encryption. How it works: $ pip install liberty-secrets $ liberty add DATABASE_URL postgresql://... $ liberty add STRIPE_KEY sk-... $ liberty exec npm start Secrets are encrypted with a key derived from your machine's hardware (CPU ID + machine ID + disk serial). If someone steals your .liberty vault file, it's useless on their machine. Features: - Hardware-bound…

    Jan 2026

  12. 12HO

    Hello HN, I’m excited to share something we’ve been working on: Cloud Troubleshooting Labs. This tool provides on-demand environments for engineers to practice hands-on troubleshooting with AWS, GCP, Azure, and Kubernetes. What it does: We use Pulumi to spin up these environments. Each scenario includes a diagram and an explanation of the available IT infrastructure. Engineers are tasked with fixing configuration issues to make the application work. Depending on the test type, the environment could range from a simple terminal to a full cloud environment or a web-based VSCode. Many of our…

    2024 · brokee.io

  13. 13LR

    Hi hacker news, My name is Dillion and I'm the creator of llm.report. A few months ago, I was frustrated by the lack of observability into the OpenAI API. All of us are left in the dark about API performance, latency, cost calculation, cost breakdown, and more. I just wanted to know more about how my AI app is performing in production and make data-driven decisions to improve the product. So I ended up just building it myself. There are three parts to the platform: 1. OpenAI API Dashboard (no-code) - Enter your OpenAI key and get access to detailed insights straight from the OpenAI API…

    2023 · github.com

  14. 14WR

    Hi HN, I previously wore SWE/SRE hats on GCP. Later, I was on the other side, managing thousands of machines. The friction points of onboarding and operating cloud systems are personal problems to me. I’ve found it hard to keep track of all the random cloud resources floating around, especially as my team’s assets proliferated. Occasionally, there is a resource affecting an outage but no one remembers where it is. I am constantly frustrated by existing tooling. APIs can work, after you’ve navigated the byzantine documentation, but I often find myself doing ad-hoc tasks which are best…

    2022 · listvms.com

  15. 15RV

    Thrilled to announce that very soon The List Of Vulnerabilities collected from multiple platforms including ( npm, Maven, Go, NuGet, PyPI, RubyGems, crates.io, Packagist, Linux, OSS-Fuzz ) will be live at https://vulert.com/vuln-list. In short we are making sure that no vulnerability is left unreported and your software/service is always protected from unexpected attacks. Who doesn’t know Vulert Yet: Vulert, without any integration, notifies you if a Security Issue is found in any of the open-source software you are relying upon. HOW DOES VULERT PROTECT YOU ? PRIVACY: You…

    2022

  16. 16CF

    Hey everyone! For the past two weeks my friend and I have been heads-down building Cloi, a fully local debugging agent that runs right in your terminal. You probably know the drill—every AI coding tool asks for API keys, subscriptions, and uploads your entire codebase to the cloud. Cloi does none of that: it runs entirely on your machine, with no cloud, no API keys, no subscriptions, and zero data leaving your system. What Cloi does: - Contextual error capture: Grabs your stack trace, local files, and environment to understand the issue. - Local LLM inference: Spins up Ollama on your box and…

    2025 · github.com

  17. 17NT

    I built a CLI tool that turns codebases and PRs into diagrams so you can quickly understand how things fit together. Originally made it because I couldn't follow my own AI-generated repos. Just shipped a big update: - Switched from D2 to Mermaid for rendering - Tree-sitter AST parsing + agentic flow instead of raw LLM calls. ~50x faster. - Works on any GitHub repo or PR, not just local - Dropped the web frontend, it's just a CLI now - Published as a pip package Still a ton to improve and I'm building fast. Feedback, issues, PRs all welcome.

    Feb 2026 · github.com

  18. 18OA

    Scenario: Your company’s IT department says “good news, you have access to azure, aws, openai, mistral, and together AI, here are the API keys”. You think “yippee I can access many models”, but some models like the gpt-oss or Mistral are available on some or all of those platforms? That’s where this app comes in: run it and it will check all the providers that you have configured and then you can search across those providers to see which providers have the model you want available. Built on top of mozilla.ai any-llm library. Check out the link for a GIF showing it in action.

    Sep 2025 · github.com

  19. 19NA

    Hi, over the past few months I've been working on this project: Numax is a small Rust runtime that does three things: it runs WebAssembly modules in a sandbox, has a built-in local key-value store, and syncs everything across nodes with CRDTs and gossip. Basically, you write a wasm module, run it on two machines, and they converge (I hope !). It's a decentralized system... I hope someone finds it interesting! There's a whitepaper I've put a lot into, and I think the code isn't bad either! I believe there's still room in this world for software that's fun and well made, and while building…

    Jun 2026 · github.com

  20. 20

    Hand it a ticket. Come back to a green PR. Free and local.

    4d ago · klaussy.com

  21. 21WB

    Over the past few months, as we scaled our internal AI Agents, we hit a dead end: Running LLM-generated arbitrary code in Docker is basically running naked on security due to container escape risks. But using full traditional VMs takes minutes to boot and eats too much memory to support high-density concurrency. We loved the developer experience of SaaS sandboxes on the market, but they are closed-source, expensive, and have too high a barrier to entry for self-hosting. So, our team decided to build our own. After months of grinding, using RustVMM and KVM, we built a blazing-fast,…

    Apr 2026 · github.com

  22. 22IB

    Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…

    2024 · viewpointhq.com

  23. 23TO

    I built TraceAIO, an open-source tool that prompts LLMs on your behalf and tells you whether ChatGPT, Perplexity, and Gemini mention your brand — and which competitors and sources show up instead. Yeah, this category smells a bit like a grift, same as early SEO. And I think over time it will become just SEO again, and become about good content. The tool just helps you monitor over time. It queries the browser products through real browser sessions, not APIs, runs on Docker, with an MCP server so you can query your own data through an LLM. No business model, Apache 2.0, self hosted. If you…

    Jun 2026 · traceaio.org

  24. 24

    Make any LLM find real bugs in your code, and prove them

    8d ago · redmirror.io

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