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For my marketplace, I was friends with someone who could make it look like not a ghost town for the supply (an established game store with lots of trading cards in stock). Then, we struggled to get more sellers. Then, we found channels to get selllers, which were basically software systems we could build integrations with. The integrations de-risked the proposition for sellers enough to get more traction. Eventually, if you have growing volume, the supplyside just starts coming on its own mostly, and you focus on retaining sellers and growing buyers.

For your marketplace, you could bring the supply-side by Fedexing stuff when you don't have a carrier. You'll have to lose money on the initial shipment, until you can route the jobs to the supplyside. This assumes you think the typical use case for this isn't smuggling.

The amount of jobs may be low enough at first that you can be like "You said Cairo to London, that will be $N." Then, if you can fill the job manually by finding someone somehow, then you add them to the platform and they do the job. If not, you send a prepaid mailing package with a Fedex label to the recipient and they ship it easily, and you subsidize it so it seems like a great deal to them.

Limiting geography seems like a good approach too.


You could argue that compute was a decisive factor in World War II even (used in code breaking and designing nuclear weapons).

We use Mercury’s treasury account to get yields on cash, and what appeals to me is it is easy to manage. I don’t have to worry about setting up processes to move money around and it’s integrated with my bank account, and we wouldn’t want to switch even for a higher yield… the operational burden is more important to us than yield.

I think the yield is about 3.2% based on how we set it up to be as liquid as possible. We could have accepted less liquidity for more like 3.8%


Hey Andrew thanks for the feedback

We know that the main barrier to switching is just time and ease of use, so we deliberately built this to have the same operational burden as using your current treasury product

Palus links straight to your bank account just like Mercury, and we'll also allow you to set up rules for moving money around!

That said, if there's any other features that really keep people tied to their current products we want to know about it. Our goal here is to build something that actually cares about the fact that you're a startup with limited time to care about yields, and not just throw your money in a generic fund and forget you exist


Mana Pool | Senior/Principal Software Engineer | Full-Time | Remote (US) | 135k-200k USD

We make the market for Magic cards. If you play Magic, we'd love to see you apply.

https://manapool.com/jobs/software-engineer


Alas I'm not a Magic player so I don't qualify for this role, but I love love love the `job-application` API endpoint


This doesn’t read to me like it was personally written by one person. It’s not Dario we should read this as being written by, it’s Anthropic as an entity.


the shakespeare code tuned a little with different training data does a good job of generating Magic The Gathering commander decks


Somewhat related: I wrote up a MTG card generator based on nanoGPT a while ago that I think produces pretty good results for being 1m parameters.

The real neat thing about this is that WotC makes a few thousand new cards each year, so my training data set just grows over time and the model gets better with no effort spent on my part.

https://github.com/jlwitthuhn/TCGGPT


It would be interesting to come up with a use case which requires a freshly trained model and isn't just something that generic models can already, especially with 1MM context window


would love more details on this. this is exactly the type of project I'd like to dabble in to get more up to speed.


People have been doing this for a while.

https://x.com/roborosewater

https://bsky.app/profile/roborosewaterm.bsky.social

You can see the invention of RLHF/ChatGPT here because text generation suddenly became much more coherent and also much less interesting. You have to go back to older tech for surrealism because nobody will let you see the good stuff (the base models).


I guess I was much more interested in being able to work with an LLM to create good, synergistic Commander decks and less interested in generating custom Magic cards.

I'm sure I can dig up info on how to do this and piece it together, but I thought OP might have a guide specifically for it.


FWIW, there was a pretty popular post on HN around generating MTG cards using AI a couple years back but I believe that their approach was a fine-tune on an existing LLM.

https://news.ycombinator.com/item?id=37427854


I like the idea of specific-purpose toy models. How did you tune the code and what dataset you used?


This is neat, I have a simple CSS effect that I apply to foil cards on my Magic card marketplace site, but I have wondered what it would take to replicate all the different foil effects that a Magic card can come in to be both more varied and more true to life, in a performant way that fits into my CRUD svelte UX.



Link to see it in action: https://poke-holo.simey.me/

Be sure to scroll down to see the advanced foil effects on cards, the top card is a very basic example.


Ha, and it uses the gyroscope too - that's excellent work


some people just mastered their domain. i pray i get this good in my area of expertise: elliptic curves. lol im researching curves on random math sites, and learning different implementation tricks (like the subtle diff in MSB and LSB implementations of the double and add algorithm* or that sometimes you can find the weirdest endomorphisms on non-binary Koblitz curves (they're not documented AFAIK and Koblitz the OG is too old to be chasing 1-bit, 2-bit endomorphisms)

This was me in awe of the pokemon card CSS lol. It appears to have been done before AI and this makes it even more impressive tbh.

*The diff is in MSB->LSB the generator remains constant while in LSB->MSB to the generator doubles. Either way, you always know the value of the generator at every bit. I think this is a vulnerability but I just can't find out how.


You can run shaders like this in the browser, so you could probably start by directly lifting this code (and practicing in shadertoy)


This almost exact thing happened with me with a hiking app I used to make. We had a 7-day trial when you started the app, but we shipped a release that broke this and made all the paid features immediately paywalled. This led to a big increase in sales and we got rid of the trial forever.

It’s possible that our trial might have worked better if it were like modern iOS trials that start charging you after a certain period, but ours just let you use the paid features for 7 days and then lapsed, and it stifled sales. My theory was people urgently needed the paid features (mostly to download maps for a coming trip) so the trial got in the way of them paying right away.


The same could be said for books about writing, like Williams or Strunk and White. The trick is to not apply what you learn indiscriminately.


I find using AI very educational in some respects.

I am way more knowledgeable about SQL than I have ever been, because in the past I knew so little I would lean on team members to do SQL for me. But with AI, I learned all the basics by reading code it produced for me and now I can write SQL from scratch when needed.

Similarly for Tailwind… after having the AI write a lot of Tailwind for me from a cold start in my own Tailwind knowledge, now I know all the classes, and when it’s quicker, I just type them in myself.


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