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timsuchanek

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founder of https://expand.ai/ (YC S24) https://x.com/timsuchanek

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Claude Opus 4.8 2 months ago

thanks for always providing this very much on time. I'm wondering what the next, harder challenge could be? Maybe some animated svg?

expand.ai (YC S24) | SF onsite | Full-Stack Engineers We're building infrastructure that makes the web queryable for AI agents. Already in production with major AI labs. Looking for experienced full-stack devs who are comfortable wielding agent swarms to ship fast. Small team, well-funded, high intensity. founders@expand.ai

expand.ai (YC S24) | https://www.expand.ai | Backend, ML | Onsite in San Francisco

At expand.ai, we turn the internet into a database. We are doing bleeding edge web agent research.

We're hiring a founding engineer.

We care less about your particular background, be it AI, ML, backend, full-stack... What we care about is that you're passionate about programming. We are solving technically very hard problems. See more in the role description.

Given that I'm a solo founder, we can afford giving you a bit more equity than most startups ;)

More about the role: https://www.expand.ai/careers/founding-engineer

You can apply to tim@expand.ai

Great to see e2e openness. One of the only true OSS models out there, vs most of the models releasing the binaries (weights). Surprised that they didn’t mention Mistral 7b in the comparisons.

This is one of the deepest deep tech startups I've seen in a long time. I had the pleasure to meet some of the folks at RustConf in Portland.

Readyset is basically reimplementing a full database, at the absolute bleeding edge of db research, enabling global partial replication of any kind of data.

A solution desperately needed, as databases grow.

You can think of it as an intelligent LRU cache in front of your database. An important step towards fast globally distributed applications.

I hope this project will get more publicity and adoption - it's very well deserved.

I like the syntactic sugar of directly validating types through modules. However, configuration at some point always converges towards Turing completness. I’m biased but imo nothing beats TypeScript and schema validation tooling like Effect.Schema or Zod. Yes it’s more code to write but you’re not locked in and can adopt the system as needed.

Curious what this will mean for the vector db vendors. Imagine finetuning would be quick and cheap. Could there be a world where vector dbs aren’t needed anymore?

The number is actually greater than 1,000 right now. No, we're not scared of Fastly or Cloudflare and are actually cooperating with them. What makes you think that "they will just clone the moat"?

- some people will be vastly better compensated than others in terms of cost of living > Agreed. And other factors like taxes and quality of living are all playing a role for what the person will ultimately receive. Interestingly enough, oftentimes these balance each other out. Higher taxes? Usually better infrastructure. Lower taxes? Maybe hospitals less good.

We might not agree in all points, but where we apparently strongly agree is on this point: "remote work has shown us most people are generally equal in output"

We agree with that. The only next step we do from there, is that for us, it matters, that for the same output, the company pays the same compensation. Why not go further? Why not think a step further from paying the same and adjusting it based on factors like cost of living, quality of living? Because that's very hard to quantify. We say, that the boundary of this decision is, how much we as a company pay to the human on the others side. We can't control what exactly will arrive, there are different taxes, health insurances etc, which all have an impact on what you ultimately earn.

Depends how fast your data changes. SWR can be very effective for that. I suggest having a look at GraphCDN (bias alert, I’m one of the founders, so take it with some salt ;)