nowfound

Alternatives

Products that do what IncidentHub-bay does

submit incidenthub-bay

  1. 1IA

    I'm building Incidental, an open-source (MIT license) incident management platform. I've been working on it for the past couple of months as a hobby, and now it's at a state where I'm comfortable sharing it. This is also my first open source project. Features: - Custom roles - Custom severities - Integrated with Slack - Web interface Todos: - Custom fields - Custom workflows Website: https://incidental.dev Github: https://github.com/incidentalhq/incidental I'd love to hear your feedback. Thanks!

    2024 · github.com

  2. 2

    End-to-end incident management, right from within Slack

    2022

  3. 3

    Platform for measuring and training AI agents

    2016

  4. 4
    Openlayer197

    Slack or email alerts for when your AI fails

    2023

  5. 5

    Real-time monitoring and alerts for Slack administrators

    2016

  6. 6
    LLMonitor128

    Open source monitoring and production toolkit for AI apps

    2023

  7. 7

    Skip the setup and run OpenClaw & Hermes, fully managed

    18d ago · cloudways.com

  8. 8OA
  9. 9

    An AI Agent that tells you why your systems break

    2025

  10. 10

    Your Gen AI agent for multicloud cost management

    2024

  11. 11

    APIs for building AI chat and search

    Feb 2026 · agentset.ai

  12. 12

    Problem solves for you to save time

    Jan 2026 · aiopscrew.com

  13. 13

    Get notified when any service in your stack has issues

    Jun 2026 · outage.observer

  14. 14

    AI on-call engineer for enterprise

    Feb 2026 · incidentfox.ai

  15. 15NT

    nightwatch is a local-first, read-only layer on top of your monitoring. it groups alert storm into incidents, flags noisy checks and has an agent that can investigate for you live systems. You can e.g. jump from the incident into the agent directly. the reason for this weekend project is that we had a kubernetes upgrade that went wrong, and at some point a rollback wasn't possible anymore, so it had to be fixed live during the night while several problems came together. We run a lot of different systems, on-prem and several Kubernetes clusters, and in a situation like that you spend most of…

    Jun 2026

  16. 16

    When a page updates, you understand why.

    Feb 2026

  17. 17

    AI search for 1000+ Open-Source AI Tools

    Mar 2026 · ossaihub.com

  18. 18

    Open source observability with an AI SRE that fixes code

    18d ago · oneuptime.com

  19. 19HO

    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

  20. 20DD
  21. 21

    Access all top AI providers — in one place with UltraGPT

    Jan 2026 · ultragpt.pro

  22. 22

    See everything. Miss nothing.

    Jan 2026

  23. 23OA

    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

  24. 24DO

    Hi HN! I am an undergrad student trying to build interesting things with AI. Recently, I was looking for a dataset I could use for a new project. I realized that it is really frustrating to go through all the government websites (with terrible UX) just to find some usable dataset. I set out to build a GitHub for datasets, named DataHub. Right now, we have more than 1000 datasets from Montréal and New York City, with more cities coming soon (and possible government agencies). All of this is wrapped into a powerful search. It's a breeze to find a dataset to work on. I'd be interested to know…

    2017

Ranked by how close each launch is in meaning, then by votes. Refine with a description →