But isn't the point of an app being able to maintain a sharable worldview and state?

This "improvised just for you" sounds like a natural fit for a text adventure for example, but I'm still grappling with how this might apply to a real life use case.

One can conceivably imagine imagine LLMs one day transforming states for sharing on-the-fly as well, but it does sound very fragile.

I cofounded DocuPanda to handle this issue specifically. Call me biased, but I do believe it's the best solution out there.

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The underlying technology is called diffusion models. I'm sure many on HN have already hear of it - it's the technology underlying all these neat text to image results in DALLE-2, Imagen, and the open source counterpart called Stable Diffusion.

Getting this technology to embed real life images in arbitrary backgrounds has been quite the challenge, but it's already showing some pretty neat results which you can check out on the website. Currently we support Christmas setup, and white background with shadows and reflections. We'll add a plenty more background categories in the immediate future.

Couldn't help but notice you omitted any reference to the major technological achievement here in placing objects on arbitrary backgrounds. It failed to impress on your use case?

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I’m also pushing people to give out referrals with limited success.

My SEO game is non existent. I tried a blog post or two with nothing to show for it. I should reach out to sales gurus and such that reach Etsy/amazon sellers how to sell. I’ve only made halfhearted efforts there.

I think that now that I have a pretty decent api going and some users for that, I should probably make a medium blog post about my journey. Might land some more api customers.

2. Automated tests for “broken” front end based on how the side renders on various devices. Pretty sure a machine learning model can recognize broken design. I still think it’s a good idea but potentially a pretty complicated sell!

3. The rest I’ll redact because I’m still toying with doing them.

It makes $1300/month right now, up from $0 6 months ago. Living in the Bay Area, that would put me well below the poverty line if it were my sole source of income, so I'm not gonna call it "successful" just yet.

How I got started: I do machine learning, and I methodically searched for places where people buy a service transactionally on platforms like Fiverr and that I think can be automated away (or greatly automated with human reviewers in the loop) with state of the art machine learning models. There are hundreds or thousands of such opportunities that individuals can solve on their own.

I'll be more comfortable giving sage advice once I've crossed the $10K/month threshold, but still I'd say a willingness to try a lot of shit out and get digging on stuff you have 0 familiarity with is mandatory. In this project I've had to learn javascript, frontend, photography, google ads campaign management etc.

Another tip I wish someone had told me is, build a pricing page from day one. The temptation to get _some_ signal you're useful to people will drive you to offer stuff for free, but that will end up getting you a lot of unwanted attention from people who will never ever pay.

https://hackernoon.com/how-i-built-my-first-machine-learning...