It's a crazy market right now. Since LLMs provide 0 analytics insight, all of the available optimization tools are pretty trying to guess or reverse-engineer prompts and their answers. Since it's still pretty much a black box, I think most of the effort is being spent in experimenting.
The one concrete thing I've noticed are some companies changing their SEO blog strategies. Where previously they tried to position themselves as thought-leaders, I've seen an increase if blog posts where they add transparency to what they offer (very clear product descriptions, pricing, use cases, etc.). I believe the general idea is that this type of summarized content is more likely to be picked up by LLMs.
Disclaimer: I've built one of these AI visibility tools (Cartesiano.ai), so I've seen just how much noise & uncertainty is around this space.
This is why most of these AI search visibility tools focus on tracking many possible prompts at once. LLMs give 0 insight into what users are actually asking, so the only thing you can do is put yourself in the user’s shoes and try to guess what they might prompt.
Disclaimer: I've built a tool in this space (Cartesiano.ai), and this view mostly comes from seeing how noisy product mentions are in practice. Even for market-leading brands, a single prompt can produce different recommendations day to day, which makes me suspect LLMs are also introducing some amount of entropy into product recommendations (?)
We just started a blog a few months ago at our company on a variety of topics such as mobile & BE development, as well as design [1]. Hopefully it's of use to the community :)
Picnic is the world’s fastest growing online supermarket with a simple mission: to make grocery shopping quick, easy and affordable for everyone.
Our unique tech-driven approach enables us to work towards a greener and more sustainable future, with our fleet of 100% electric vehicles delivering fresh products from our warehouse to customers daily.
Yeah, it requires Android 4.0 or newer to run. It was a decision we made at the beginning since we don't own Android devices running those versions and didn't want to spend all of our time making the app compatible with all android versions (or at least starting at froyo).
We actually just released the app yesterday. We don't really have a formal plan, just this sort of stuff, like posting to HN, game and android related subreddits, twitter, etc. Right now we only offer ads (and very few actually) since the goal is to attract users. In terms of revenue, our plan is to get some metrics and user feedback, figure out how users use the app, what they like, don't like, etc, and use that to add some relevant in-app purchasable items.
Sure. The app actually went through several iterations. The first thing I developed was the main board of the game and it was definitely the hardest part (at least at the development side) since it needs to detect valid words. If you play around with it, you'll notice that you can form combinations of words that are linked together, so you basically have paths of words that might be connected to one of the fixed words through this path, and are thus valid combinations (hard to explain, but I think it makes more sense when you see the gameplay). Getting this logic right involved a couple of weeks of trial and error. On the bright side, it increase my vocabulary skills :).
Most of the gameplay was developed locally, without any backend. By the game I was sure I could get the gameplay right, I asked my friend to join me and work on the backend. So for the past 3 months more or less, we've been working on getting all of the endpoints right, and testing, testing, testing and more testing to make sure we could catch as many bugs as possible.
In terms of hours, we probably put in about 2 hours per day on weekdays and about an average of 5-10 hours during the weekends. In hindsight it looks like a LOT of time, but if you've ever done Android development, you probably know that the amount of time and effort that goes into testing the app on several devices, probably surpasses the actual development time.
The one concrete thing I've noticed are some companies changing their SEO blog strategies. Where previously they tried to position themselves as thought-leaders, I've seen an increase if blog posts where they add transparency to what they offer (very clear product descriptions, pricing, use cases, etc.). I believe the general idea is that this type of summarized content is more likely to be picked up by LLMs.
Disclaimer: I've built one of these AI visibility tools (Cartesiano.ai), so I've seen just how much noise & uncertainty is around this space.