Looking for cofounder for AI + product growth

I’ve built a dozen MVPs in two weeks design and code focusing on real user problems with AI baked in. If you want to to ship something live fast, reply here or email me.

"Hey Kevin,
Solid post. I like that you're looking for a real systems thinker rather than just "someone who knows AI".
I'm a technical founder with experience in:

Building LLM-powered automation workflows
FastAPI + backend systems
Turning messy manual processes into efficient AI pipelines

What really caught my eye is that you're focused on real automation and product performance, not just slapping chatbots on things.
A couple of quick questions:

Are you currently working on a specific product/idea, or still in the exploration phase?
What's the biggest bottleneck you're facing right now (tech, product, or growth)?

Would be happy to hop on a quick call if there's potential alignment.
Feel free to reach out: [your email]
Best of luck!

Interesting angle. I like the focus on real automation instead of just layering AI on top as a gimmick. “Systems, not just features” is also the right mindset for building something that actually lasts. Hope you find a strong fit.

Hey Kevin, really like the focus on making products smarter through actual automation, not just AI for the sake of it.

I work on growth and early traction, helping products get their first users and validate fast, so this kind of system-driven approach fits well with how I think about building.

If you’re building and shipping quickly, having someone focused on distribution alongside can make a big difference early on.

Happy to chat and see if there’s a fit.

Hey Kevin — your framing is spot on. The gap in AI products right now is exactly what you described: most people bolt a chatbot on top and call it "AI-powered." Real automation means LLM workflows that are tightly integrated with backend logic, data pipelines, and actual business processes.

This is exactly what we build. We run a dev studio (DNGLZ) and our last production system was a multi-agent AI platform for e-commerce — autonomous agents handling customer service across multiple channels, each with their own decision logic, connected to real business data (orders, inventory, CRM). Not chatbots. Real automation with measurable outcomes.

Stack-wise we work heavily with Node/Python backends, LLM orchestration pipelines, and have deep experience with prompt engineering at production scale (not just playground experiments).

Your checklist reads like our team description — build fast, ship often, think in systems, excited about AI beyond the hype. Would love to explore what you have in mind. DM me here.

Hello Kevin,

This is a solid direction, especially the focus on real automation vs just layering AI on top. A lot of products right now are missing that systems-level thinking, particularly around how LLM workflows integrate with backend logic and actual user behavior.
I’ve seen that the real impact comes when automation is tightly coupled with data flow + decision-making, not just prompts. I am curious about - Are you focusing more on building reusable workflow frameworks or solving for specific use cases first?

Having built and launched a product around automation, I bring extensive knowledge of the workflows and frameworks similar to your project. If you find it worth discussing, connect with me and let's chat.

nice

Hey Kevin! This is pretty much exactly where I'm at too.

I'm Olivier, 19, CS/AI student at RIT. I've shipped production LLM systems: an enterprise RAG pipeline (Weaviate + Oracle DB), a multi-agent virtual OS with MCP integration, and a finance research agent with automated data retrieval. Currently building VibeOS, a CLI-native agentic OS — real automation, not chatbots. Stack: Python, LangChain/LangGraph, FastAPI, Weaviate, Anthropic/OpenAI APIs.

I think in systems, ship fast, and am deep in the actual agent architecture space. DM me here — happy to chat.

Interesting perspective. I’m currently building a product in the mobility space and figuring things out step by step. Always useful to see how others approach this.

I would be glad to explore the opportunity to work with you. We can connect via email at [email protected].
Additionally, could you please share your LinkedIn profile?
I look forward to discussing this further.

Hey Kevin — this resonates a lot.

I just shipped a WhatsApp commerce system
for small businesses. Backend is Python/Flask,
LLM integration for the AI ordering assistant,
Google Sheets as the data layer for now.

I think in systems too — built the whole thing
as one deployable service covering storefront,
cart, AI checkout flow, order tracking and
admin dashboard.

The distribution side is where I'm stuck right
now which is what brought me to IndieHackers.
Happy to chat about what you're building —
your background in LLM workflows and product
growth is exactly the gap I'm trying to fill.

Good luck with the search!
I'm a junior developer + experienced QA tester(both manual and automations).
I've built several automations that are using LLMs to evaluate, respond or suggest further steps.

If I can somehow help, I'll be happy to.

Hello Kevin,

At Code Colonies, we collaborate with founders as a co-founder-level tech partner, helping build and scale AI-driven systems like this from MVP to traction, with strong expertise in LLM workflows, backend systems, and real automation.