notllmchatbot

joined 1 year ago
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How to approach pre-seed/seed investors? Mock-up or basic prototype? Need advice. (alien.top)
 

My co-founders and I are just starting out and we are looking to build a SaaS solution around GenAI/LLMs, and we are looking to raise pre-seed/seed funding for this effort over the next 2 months. All of us are first time founders and we wanted to get some advice from the community on how to best go about this.

We are trying to pick between the following two options and weighing the pros/cons.

Mock-up: Focus our effort on designing an aesthetically pleasing but non-functional mock-up via Figma or equivalent. Might help us better illustrate our idea than a basic prototype since none of us have much experience with frontends.

Option 2: Build out a working (but basic) and potentially ugly prototype with a working backend. The work that goes into the backend will not be wasted and can probably be reused in the actual development. Will also help us validate technically some finer points behind the idea. But due to our lack of frontend skills, it will probably not impress anybody visually. Also unlikely that we can build out anywhere near our full vision within 2 months so this may not be the best in conveying the idea to investors.

What has been your experience with each of these approaches? Any advice or other approaches we should consider?

[D] Free hosting service to use for deployment. in c/machinelearning@academy.garden
[D] Free hosting service to use for deployment. in c/machinelearning@academy.garden
[–] notllmchatbot@alien.top 1 points 11 months ago (2 children)

Are there even serverless providers that support GPUs?

[N] Sam Altman and Greg Brockman, together with colleagues, will join Microsoft to lead new advanced AI research team in c/machinelearning@academy.garden
[–] notllmchatbot@alien.top 2 points 11 months ago (31 children)

Can't be a good thing for OpenAI. Even if Sam Altman doesn't start by taking half the company with him for this research team, I don't see why Microsoft should continue placing OpenAI on a pedestal when they can continue the work in house.

[D] NLP infrastructure in c/machinelearning@academy.garden
[–] notllmchatbot@alien.top 1 points 1 year ago

I see these as the equivalent of selling picks and shovels in a gold rush. Good thing is that you won't need to bet on any particular vertical or application, which is always hard for novel technologies. Bad thing is infra is usually not where most of the value generation/capture happens.