This is basically a rewrite of Netflix Conductor which was the original platform we built while working at Netflix. At Netflix, infra was "free" so we were generous in all the dependencies we had on that - so we decided to rewrite for cost optimization in this version.

Unmeshed eliminates the glue code thats typically written for resiliency or connecting things together. And our design of execution also offers it the flexibility of being used as a real-time API orchestrator. It even comes with a managed SQLite service (as many as you need), which means we don't need a provider like Supabase to work with stateful workflows.

Fun fact is that in our company, everything we use is actually just static HTML UI built on top of the Unmeshed Platform as backend - like our CRM, SaaS management, Deployments, Finance etc.

Check it out here: https://unmeshed.io

I know AI companies make money, but the companies consuming these services, are they meaningfully making a revenue to justify the continued spend?

Like a few other commenters, other than reasonably making a software developers work easier I haven’t seen a lot of value creation or revenue boost from AI. I know AI companies make money, but the companies consuming these services, are they meaningfully making a revenue to justify the continued spend?

Check it out here: https://unmeshed.io

Initially the goal was to convince investors which is pretty much done and now its the retail/public that will value these companies once they IPO. Either way the job market is definitely impacted and is changing rapidly.

Will one of these companies be the first to hit 10 trillion valuation?

A trillion dollar valuation seemed so hard back in the day and now there are so many companies in that list. What's the next level?

Is this just signs that $ is no longer the inflating at the same rate over time and its the realistic inflation that is reflecting in the stock market?

Prices of all goods surely has to follow to make up for the revenue needed to sustain these valuations and also the salaries to sustain the prices.

Unfortunately, those who are not in the loop is not going to have a good time.

Postgres is not cheap to run in the cloud at scale. We went for the cheapest infra, which is basically the disk storage.

That way the billable hours can match, but like the article says, who does this benefit? Ultimately the transfer of time to another task will keep law just as expensive. Perhaps there is room to save time on verification vs creation. Is it worth all the investment though?

“AI suggested we do it that way”

And we’ve been degrading our systems rapidly for last several weeks. We’ve decided to pause and reflect and change how we use AI on tasks that are not dead simple.

Easily 1-3k stars per hackathon from student or hackathon participants for a cost of $1-5k. And some free marketing comes with too since participants may post on LinkedIn or other social media if they win something.

With that kind of volume, I think even before AI could have helped, why not hire some staff and potentially even a receptionist. Given the volume, this seems like an easy choice.

I would have expected this to be somewhere at the top right now given how deep the article digs and evidence seems legit.

I’ll happily pay up to $2k/month for it if I was left with no choice, but I don’t think it will ever get that expensive since you can run models locally and it could have the same result.

That being said, my outputs are similarish in the big picture. When I get something done, I typically don’t have the energy to keep going to get it to 2x or 3x because the cognitive load is about the same.

However I get a lot of time freed up which is amazing because I’m able to play golf 3-4 times a week which would have been impossible without AI.

Productive? Yes. Time saved? Yes. Overall outputs? Similar.

Now the stock is down from $800+ to $200+ and the whole messaging has changed. The last one I saw on LinkedIn was "" No comment on the HubSpot stock price.

But, I strongly agree with this statement:

"...I don't see companies trusting their revenue engine to something vibe-coded over a weekend." ""

The stock dip is likely because of the true AI native CRMs being built and coming to market, but why couldn't HubSpot take that spot given the CTOs interest in the space.

Points: 8

# Comments: 7

Comments URL: https://news.ycombinator.com/item?id=46730232

Points: 4

# Comments: 0