And yes it is. So for example, it seems during the 1999/2000 era we were dealing with 100s of millions or low billions. Now everything is tens or hundreds of billions, if not trillion or more.

So it just seems super inflated if that makes sense? But yeah I'm new to whatever this is, bubble or not.

I think it is just the ebb and flow of the zeitgeist reflected here.

Not sure what the future holds, but I'm looking forward to the next wave after AI.

I know I'm no ivy grad or some hot shot, but this is my goal. Although I have a small team that I want to build up (they're fresh) because they're passionate about the problem space.

Has there even been a time like this in the past?

Comments URL: https://news.ycombinator.com/item?id=48457200

Points: 1

# Comments: 4

Take a couple hours to walk CC through your code and generate a CLAUDE.md. Note any architecture patterns you have already, or want to have, in your project.

This is probably the most important thing you can do to drive better results. As you work, try to ensure you're getting independently testable steps as you solve a problem. Take time planning, always have it reference your CLAUDE.md and existing code patterns. At the end of each step, I have CC determine whether or not to update the CLAUDE.md if there's any foundational updates.

The trick is to have a idea of what you're expecting out of these tools. If you can use the tool to break down the work into individual pieces you will find it is really fun and productive way to build software. You still have to think, but you are able to cover a lot more ground faster. I can't type out 4 files that are in my brain in 10 seconds.

Why won’t these companies completely transform how we work/vibe by having everything go through the chat/voice ui? It should just work, for the end user.

I’d love to be an agnostic business analyst for OpenAI or Anthropic. Used to be a business analyst and I loved understanding as much about an industry or domain and then working with stakeholders to come up with solutions.

Imagine if there were teams of business analysts internally at these companies to build out that super app.. supply chain (procurement, resolutions, dispatch), partner management, customer support, calling someone video or voice, all my documents, everything I keep basically. I want to work and communicate with other people over it. It should just work. All work is communication between people right?

Also, I wish it was possible for the models to leverage local machine to increase/augment its context.

Also, one observation is that Claude.ai (the web UI) gets REALLY slow as the conversation gets longer. I'm on a M1 Pro 32gb MacbookPro, and it lags as I type.

I really enjoy using LLMs and would love to contribute any feedback as I use them heavily every day :)

Yikes 100-250 mile range.

Probably fine for what it is.

In my layman pov… A diesel engine can take the least aerodynamically shaped body and move it at 60 mph for 1k miles no problem. As an American, I guess it’s just natural to me that if it can move, then it should move with glory!!

Edit: my bad I didn’t properly read your post

> On domain expertise

I've been in the trenches for over a decade since falling in love with Gantt charts, getting my CAPM certificate, and graduating college. First as a project manager on multi-year, $XX–XXX M projects, then as a self-taught SWE building PM software (we IPO'd a few years back). My domain knowledge is in oil & gas, construction, supply chain optimization, and manufacturing to a lesser degree. The scheduling tools I know best are MSP and Primavera P6.

> On the existing landscape

I agree that this is a well-established field of study. I'm using Google or-tools and evaluated a few other constraint solvers. However, I believe the focus has been more theoretical because actual software and tooling that people use day-to-day lacks any collaborative execution and management automation. In my opinion, this is where and why projects always break down.

* This leads me to the specific problem which I should have shared earlier! *

Every non-software rollout I was part of ran late and over budget. There's a stat that 90%+ of projects miss their targets. By contrast, agile software teams shipping sprint-sized features almost never slipped. The difference? Real-time collaboration and adaptability. (And yes, I'm aware the scopes are radically different!)

The moment we move from "just" the world of bits to the world of steel, gas pipelines, trains, and dealing with hundreds or thousands of people, equipment, 3rd parties... even the best plans crumble.

> Real world experience

I could go into minute detail on each one, but I'll spare you the reading and myself the PTSD by condensing a few pain points:

- No shared, real-time view. Data lived “somewhere,” but never with field teams or execs.

- Black-box auto-levelers (like Primavera P6) only delay tasks they don’t split or reallocate crews without the PM doing a ton of work. Small hiccups can easily compound into slips that last days or even months. Licenses are expensive and access is gated so only “the scheduling team” sees the live plan. I’d argue it’s not a solved problem otherwise we would not have needed to also bring on dedicated scheduling consultants.

- Process workshops and Excel jockeying can’t keep pace with real-world churn. Any good plan evaporates once work actually starts. We did these things on every project but I don’t think it really made a difference because while people are a variable, bad tooling is exponential.

> My approach

Rather than building another optimization engine, I’m creating a collaborative platform where scheduling is a core feature. Most tools focus on the initial optimization but ignore the continuous re-planning that real projects require. Not everyone _needs_ the schedule obviously, but the schedule _definitely_ drives the project. I want to enable realtime ADAPTATION as conditions/constraints change in the field.

I’m particularly interested in connecting with others who’ve hit similar walls, or who have insights on bringing real-time collaboration to complex, distributed projects so I really appreciate your response.

Specifically, any scenario where you have complex rules governing limited resources. Think large-scale, multi-year waterfall projects with $XX million budgets and hundreds to thousands of resources (people, machines, etc.).

Here are couple examples:

- Construction and engineering projects with thousands of interdependent tasks, crews and equipment

- Job-shop and flow-shop manufacturing where parts must move through machines under sequence and capacity constraints

If any of this sounds familiar, interesting, or you have direct experience dealing with these problems (as a PM, etc.), let's connect.

Shoot me an email at *** hello at mradek dot com *** or reply in this thread!

Comments URL: https://news.ycombinator.com/item?id=44477078

Points: 4

# Comments: 4

I use pg and test suites run in parallel against their own db. It’s pretty cheap with CREATE DATABASE helpers plus using container means little to no headache.

Is life really that unimportant these days?

I’ve used Node before but I’m sure you’ll have some number crunching and background jobs and what not. You could use Go to build all these things out and go far before you use some specific technology for it. You don’t need to install half the internet worth of dependencies to do basic things.

I know elite college people are smart but I feel like they can also be really mean/petty. Granted, I’ve only met a handful people from such institutions and only one person didn’t act weird about it.