I downloaded and am trying it out, but I'm running into a pretty annoying sorting bug that's preventing me from using it for real. I copied over files from my Obsidian vault (preserving file times), and the first time it loaded, everything seemed to work fine. After doing the first git commit, however, Tolaria cannot seem to sort properly by last modified anymore (I'm getting notes from 2023 or 2025 up at the top). The file system tree still has the correct modified and created times.

This way of calculating doesn't take into account the creative ways you can make cuts. You could also do mostly vertical slices, and then slightly angle inwards when you do the final few cuts. That would get you a more optimal distribution as well.

"Create a terminal inspired email client so we can do an alpha test with some customers" is a reasonable ask for an engineer at an early stage startup. Of course, there would be a bit more specification, but a lot of the details would still be up to the engineer. This applicant wants more certainty than they can get.

This is illustrated by the line: "I would like to know what kind of response I could expect from Kagi if I drive it to completion." This is not a great request to make. There's no way they can answer that question, because there is no certainty available. They're probably getting a few hundred or a few thousand more submissions to evaluate.

Hi, I'm William, the co-founder and CEO of Maestro AI. We're building an all-knowing chief of staff for engineering and product leaders. Maestro provides real-time, comprehensive insights, synthesized from Slack conversations, Jira tickets, and more. We allow leaders to stay in control of deadlines, accelerate their team, and understand and prioritize work.

Our goal is to eliminate information silos and become the OS that helps run engineering teams (and later every type of team).

Here's a recent demo video: https://www.youtube.com/watch?v=Xd7_0fURLxU

We're an early-stage, venture-backed startup, and you'll have the opportunity to shape our product and culture from the ground up.

We're looking for someone who takes pride in their craft, pushes their limits, and takes action to create something new. Our stack is Python on the backend and React/Redux/Typescript on the frontend. We're training our own models in addition to using existing LLMs.

To apply: Please email will+hn at getmaestro.ai with your resume, your Github, and a short note detailing a project you've enjoyed working on. View a full list of our roles here: https://maestroai.notion.site/Maestro-AI-Careers-51385f9fca9...

Comments URL: https://news.ycombinator.com/item?id=41395980

Points: 2

# Comments: 1

Abstractly, it's like the model is dreaming of a game that it played a lot of, and real time inputs just change the state of the dream. It makes me wonder if humans are just next moment prediction machines, with just a little bit more memory built in.

Hi, I'm William, the co-founder and CEO of Maestro AI. Throughout my career in software engineering, I've repeatedly witnessed how fragmented workflows and broken processes can stifle even the most brilliant teams. That's why I started Maestro AI. Our mission is to streamline the process of software development, turning chaos into clarity so that teams can accomplish more.

Maestro AI provides real-time, comprehensive insights for teams so everyone can easily see what's happening, how projects are progressing, and where people are blocked. We eliminate information silos by aggregating data from multiple collaborative tools like Slack, Jira, Notion, and Github, enabling seamless communication and informed decision-making across the entire organization.

Here's a recent demo video: https://www.youtube.com/watch?v=Xd7_0fURLxU

We're an early-stage, venture-backed startup, and you'll have the opportunity to shape our product and culture from the ground up.

We're looking for someone who takes pride in their craft, pushes their limits, and takes action to create something new. Our stack is Python on the backend and React/Redux/Typescript on the frontend. We're training our own models in addition to using existing LLMs.

To apply: Please email careers+hn at getmaestro.ai with your resume, your Github, and a short note detailing a project you've enjoyed working on. View a full list of our roles here: https://maestroai.notion.site/Maestro-AI-Careers-51385f9fca9...

There is something additional at play with TechCrunch, though. Recently I feel like they haven't been posting as many articles that are about smaller startups as they used to. They tend to post more about Google, Nvidia, Intel, etc. I find myself reading it less and less because it's mostly news that you can also find elsewhere.

I wonder if this will push companies to stop using external vendors to store and process data. If companies stored all of their info in house, it would prevent the case where compromising one vendor compromises everyone's data. But it would also mean that each individual company needs to do a good job securing their data, which seems like a tall ask.

The problem is exacerbated by content and replies trending shorter over time. It's hard to have a nuanced and thoughtful take in 10 seconds. It's much easier to have a simple, easy to understand, "dominant" take in the same amount of time.

I wonder if there's a social solution to this, somehow.

What I've found is that many times, people like the perceived confidence that obstinacy can bring. For example, let's say that someone points out a flaw in a plan. Person A responds by saying "That's not a real problem. It doesn't matter." Person B says "Ok, that's interesting. Let's dig into it." Person A (the obstinate person who doesn't listen) usually comes across as more confident in this encounter, even though Person B (the persistent person who is engaging) may actually end up learning something new and getting a better result.

This is especially true in public forums. If you go up on a stage and do a debate, the obstinate person comes across as more confident to more people. This doesn't mean that their plan is any good. But people will vote for them, give them money, etc.

For the record, I agree with Paul's assessment that persistence is a great quality and obstinacy is not. However, it's hard to actually get this across to the public.

Do you know if there are any license issues with this? I don't see any license page--will they train/retain the recording?

Comments URL: https://news.ycombinator.com/item?id=34886402

Points: 3

# Comments: 2