Ask HN: Looking for a Cofounder Full Stack Dev

Tl;dr Looking for a technical co-founder for https://coursecopilot.ai/

Background: I've built 2 online course and coaching businesses over the last 7 years. One has sunsetted. The other is currently hovering around US$1.2M ARR. I have a team in place in the current business and I'm not involved in the day-to-day anymore.

Now I want switch gears and dive back into the SaaS world and build a product-based business as opposed to a personal brand facing company.

I'm looking for a technical co-founder to help me build Course Copilot.

I know juuuust enough about basic programming to do it myself (eventually), but it will painfully slow. Speed is critical right now.

My ask: 1. Is this something you're interested in? If yes, reach out. Elif: 2. If you know someone looking to take on a new project, get in touch. Elif: 3. Is there a space or a community that I'm missing that I should be connecting with and reaching out to to find my +1? Break.

I'm also open to any comments or questions about the product and use case. I'd be really interested to hear your insights!

2 comments

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rnosov 3y ago ↗

I'm not entirely sure what sort of courses you are planning to offer, but what I can tell you is that course material quality at traditional higher education providers (bottom tier) is appalling (and they know it). If you can get it right, that would be worth a lot more than $1m/year. At the moment, the most obvious bottleneck would be the relatively small context window of GPT models (<3k words). It is speculated that OpenAI plans to increase it to 24k words, which would make it a lot more feasible though.

thepaulthomson 3y ago ↗

Course Copilot will be course-agnostic at this point. It will serve any course creator to create any course they want.

And I 100% agree with you regarding quality and effectiveness of the online course material we're seeing in the market at the moment.

As for the context window side, you're right about current limitations. Though I'm developing a way for the user to grow with the bot. Essentially chunking down inputs, storing them in a way that can be referenced and recalled over time, and allowing us to pass those prompts to GPT within the token limit.