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Update thank you so much Fam i was able to do the exam well! God bless all of you
Hi everyone,
We’re a small technical founding team based in APAC looking to connect with a business-focused co-founder or small team based in Europe to jointly validate, build and grow technology companies.
Our team currently consists of:
We can take ownership of much of the technical side: product engineering, architecture, cloud infrastructure, AI integration, automation and scaling.
What we’re looking for now is the business side of the founding team, potentially someone who could eventually become the CEO / commercial co-founder and lead market validation, partnerships, sales, operations, fundraising and go-to-market within Europe.
We currently have two main concepts we’re interested in exploring.
We’re exploring a grocery and food-commerce platform that could combine several business models:
Instacart-style marketplace: connecting customers with grocery retailers and enabling fast online ordering and delivery.
HelloFresh-style model: curated products or meal solutions, subscriptions and recurring customer relationships.
More vertically integrated supply-chain model: as the company grows, potentially developing stronger relationships with producers and suppliers and gaining greater control over sourcing, fulfilment and distribution rather than remaining only a marketplace.
The interesting opportunity for us is combining AI, logistics optimisation, supplier technology, subscriptions and marketplace infrastructure to see whether we can create something differentiated for European markets.
We have also been developing the concept for an all-in-one real-estate and rental platform.
Think of something combining the simplicity and discovery experience of Airbnb with a more complete operating platform for landlords, property managers and tenants.
For renters, the platform could provide:
For landlords and property managers, it could provide:
The business could eventually operate through a combination of subscriptions, listing fees, transaction fees and premium services, while building a larger marketplace connecting tenants, landlords, property managers and potentially other real-estate service providers.
We see significant potential to apply AI and automation to areas such as property matching, pricing, tenant workflows, documentation, support and portfolio analytics.
What we're looking for
Rather than simply finding someone to execute our ideas, we want a real founding partner who challenges assumptions, understands the European market and helps decide what is actually worth building.
A background in any of the following would be particularly interesting:
Business development, startups, marketing, finance, operations, retail, logistics, supply chains, real estate, PropTech, marketplaces, SaaS, fundraising or partnerships.
You don't need to already be a CEO. We care more about entrepreneurial ability, commercial thinking, execution and founder fit.
Partnership
This is not a job opening.
We’re looking at this as an equity and profit-based partnership, with ownership and responsibilities structured around each founder's contribution and long-term involvement.
We’re also not limiting ourselves to these two concepts.
If we connect with the right person or team and discover a stronger SaaS, AI, marketplace or technology opportunity, we're completely open to exploring and building that together.
The goal is simple:
Strong technical founders + strong European business leadership + local market knowledge**.**
Validate the problem, speak to customers, build quickly, launch, measure traction and keep pushing the ideas that prove they have a market.
If you're based in Europe and interested in building something from the ground up, DM me with a little about your background, location and the type of company you'd like to build.
We can connect on LinkedIn first, exchange ideas and see whether there is a genuine founder fit.
Also happy to hear from existing business teams looking for technical co-founders, not only individuals.
I’m curious about the careers people in this community have ended up in and whether there are any interesting patterns.
If you’re comfortable sharing:
Not trying to judge careers based on IQ I’m just interested in seeing what kinds of paths people here have taken and whether certain careers seem especially common among gifted people. Also i would like to know whether gifted people can make careless mistakes thank you in advance!
OpenChoreo is an OpenSource CNCF Agentic Developer Platform for Kubernetes
Found this pretty solid walkthrough on deploying OpenChoreo on Google Kubernetes Engine:
https://abdel.dev/posts/deploy-openchoreo-gke/
A lot of the conversations around internal developer platforms stay at the architecture level — Backstage, GitOps, golden paths, self-service, Kubernetes abstractions, etc.
This one is more useful if you actually want to see what getting a platform running on GKE looks like.
I’m involved with OpenChoreo, so sharing this with that context. It’s an open-source CNCF project for building developer platforms on Kubernetes.
Thought it might be useful for anyone here experimenting with IDPs, GKE, or platform engineering in general.
Would be interested to hear how others are running their platform layer on Kubernetes as well.
Hey folks, is anyone currently using Ornith 1.0 9B for serious or complex backend development?
I’m working on three different applications:
These are not just small demo projects. They will include areas such as authentication, role-based access, database design, payment workflows, APIs, admin dashboards, notifications, integrations, background jobs, testing, security, and deployment-related work.
For the multi-vendor e-commerce platform, the backend will also need to manage vendors, customers, products, inventory, orders, commissions, payments, refunds, shipping, and different user permissions.
I’m considering using Ornith 1.0 9B as my main local coding model for tasks such as:
For those who have used Ornith 9B, how reliable is it once the project becomes larger and more complex?
Does it understand repository-level context well, or does it start making incorrect assumptions and breaking existing code? How does it perform with architectural decisions, debugging, database migrations, authentication, payment logic, and production-level backend work?
I understand that a 9B model will not replace proper code reviews, testing, and human decision-making. I’m mainly trying to understand whether it is dependable enough to act as the primary coding assistant for these projects, or whether I should use it only for smaller implementation tasks and use a larger model for architecture and complex debugging.
I’d appreciate hearing about real experiences, especially from anyone using it with Node.js, PHP, Java, Spring Boot, or larger multi-service applications.
Thank you in advance!
Disclosure: I’m an OpenChoreo contributor.
OpenChoreo is an open-source developer platform for Kubernetes that exposes MCP servers and ecosystem skills for agentic development workflows.
Through MCP, OpenCode can work with real platform context and help with tasks such as:
OpenChoreo’s ecosystem skills provide agents with reusable instructions and workflows for working with platform capabilities and integrated cloud-native tools. This allows agents to move beyond local code generation and assist across development, deployment and operations, while remaining within the permissions and guardrails provided by the platform.
MCP setup:
https://openchoreo.dev/docs/ai/mcp-servers/
OpenChoreo ecosystem:
https://openchoreo.dev/ecosystem/
OpenChoreo GitHub:
https://github.com/openchoreo/openchoreo
I’d be interested to hear how others are using MCP servers and reusable skills for DevOps or platform engineering workflows.
Sharing this for anyone interested in platform engineering, Kubernetes and cloud-native technologies.
Cloud Native Heidelberg is hosting a hybrid meetup covering:
Date: October 1, 2026
Time: 6:30 PM CEST
Event details and registration:
https://ocgroups.dev/cncf/group/cncf-heidelberg/event/9euvqye
OpenChoreo is an open-source, Kubernetes-native internal developer platform designed to help teams manage applications, environments, deployments, APIs, observability, and developer self-service without hiding the underlying Kubernetes infrastructure.
Some of the parts I find interesting:
Full disclosure: I contribute to OpenChoreo , so I may be slightly biased, but I would genuinely like to hear what you think about the project and its architecture.
GitHub: https://github.com/openchoreo/openchoreo
Give the repository a star if you find it interesting, and let me know what you think about the project.
Disclosure: I’m an OpenChoreo contributor, and the project is referenced in this CNCF article.
The broader topic discussed in the article is interesting beyond any specific project. As AI agents begin deploying applications, provisioning resources, investigating incidents, and triggering operational workflows, platform teams may need to treat them as another type of platform user.
This raises a few questions:
Should AI agents use the same platform APIs and workflows as developers?
How should identity, RBAC, policy enforcement, audit trails, and approval flows work for agents?
Are the current Kubernetes and GitOps tools enough, or will platforms need additional abstractions for managing agent actions safely?
The article suggests managing applications, infrastructure resources, and AI agents through a consistent platform model instead of creating a completely separate control layer for agents.
I’m curious how other Kubernetes and platform teams are approaching this. Are AI agents already interacting with your clusters or deployment workflows?
Hi everyone,
I wanted to share OpenChoreo, an open-source internal developer platform built for Kubernetes. It is also a CNCF Sandbox project.
The goal of OpenChoreo is to bring the main pieces needed for building an internal developer platform into one place, including a developer portal, CI/CD, GitOps, observability, and higher-level abstractions over Kubernetes.
The project is actively growing, and contributions from the community are very welcome. You do not necessarily have to contribute a major feature either. There are opportunities to:
This could be a good project for Sri Lankan developers who are learning Kubernetes, Go, platform engineering, DevOps, or open-source contribution and want to gain experience by working on a real CNCF project.
Have a look at the project, try running it locally, and share your feedback. Contributions, questions, and ideas are all welcome.
GitHub: https://github.com/openchoreo/openchoreo
Thank you
Hey everyone! I’m a software engineering student, and I’ve been feeling a bit stuck in my field lately almost like I'm hitting a cognitive wall. I'm looking to take a reliable, affordable IQ or cognitive test just to get some baseline metrics and see how I can adjust my approach to problem-solving. Does anyone have recommendations for reputable and cost-effective options? Thanks in advance for the help!