dennisy

Hey HN, author here.

We have been hard at work shipping workflows and application for orgs built inside of our automation platform. In each case, everything starts from data integration, so we felt this should be a standalone package.

I personally feel it has to be OSS too, as long term I cannot see anyone wanting lock-in at this layer.

Please check out the post and the repo: https://github.com/relatehq/relate

Your feedback will be very welcome!

This is truly depressing and most likely very true.

I do not see enough people discussing this and trying to position their businesses in a way to avoid destruction at the hands of the labs.

This would have an even greater loss of the “why” context the author is describing in the piece.

Does anyone really still care about these pelicans?

Any model release it’s the top comment, I do not understand why.

Are you able to share how it works in that case?

The reasons are highly project specific. The closer your project is to CRUD, the higher the chance of success.

Any link yet?

A question to the other builders in this space: how are you positioning yourself and differentiating against incumbents like this or even Claude Cowork? Are you finding many clients looking at your system and telling you they could prompt Claude directly?

I too found this extremely interesting, jotted some notes here: https://dennisy.me/notes/programs-as-weights

Will keep noodling on this, I feel there must be ways to scale this up!

That would be interesting.

Do you feel most of the speed upgrade will come from the software or hardware side?

Thanks for the replies!

Would love to swap notes at some point if you are up for it?

Hey!

This looks great and congratulations on the launch.

I am also building in this space and wanted to get your views on a few things.

1. Are you building your own connectors to 3p systems? 2. How are you finding the sales motion? I found people to get the problem fast, but actually converting them seems rather slow.

Good luck!

Great read, I feel many of the topics discussed firsthand.

It gives me some relief to know there are others out there who struggle with some similar issues, but I was hoping the piece may offer some guidance, but sadly I do not feel it has.

Very cool! Not GitHub repo?

I love this and wanted to build this - but https://www.alphaxiv.org/ already exists, and it gets no social action (hardly any papers have comments), so this makes me doubtful about this.

I am interested to hear if anyone knows why the format may not resonate with researchers or those reading papers in general?

My own reason is that to get value from a "social" site the number of interactions has to be high and of a fast speed for people to continue to engage, which is maybe not possible to hit on research papers.

This is very cool!

But why do we need this? An agent can just have a local DB using SQLite for example.

This is a fair question, but not one I feel we can let people self answer.

I doubt many people will honestly admit they did no design, testing and that they believe the code is sub par.

It does give me an idea that maybe we need a third party system which can try and answer some of the questions you are asking… of course it too would be LLM driven and quite subjective.

True! But this is a very naive implementation, a proper implementation could surpass these challenges.

Congratulations on the launch!

There is lots of competition in this space, how is your tool different?

I think this used to be the trick, but now with AI it is such a general purpose technology I am not sure that makes sense. Users can “niche down” in a generic app, using prompts and configs.

Fair play for launching this, it looks like a neat project.

However I feel it will be an uphill battle competing with OpenAI and Anthropic, I doubt your harness can be better since they see so much traffic through theirs.

So this is for those who care about the harness running on their own infra? Not sure why anyone would since the LLM call means you are sending your code to the lab anyway.

Sorry I don’t want to sound negative, I am just trying to understand the market for this.

Good luck!

I feel for the startups sweating each one of these frontier lab releases.

How many more are thinking “am I next?”

So what are you suggesting do not allow companies to sell such tools?

Ohh this is very cool!

I think most people would agree.

However it is less clear on how to do this, people mostly take the easiest path.

That is good advice!

I am too late for that as I am full time but also lucky to have had a previous exit.

I am planning to go the VC route this time, because the problem I am going after feels VC size.

However I feel bootstrap or small F&F round gives you more flexibility when it comes to exits.

Congrats again!

Congratulations!

Can you talk a bit more about your journey without raising funds?

Also what does HN think of that path today when trying to launch a new AI startup?

I was thinking something that runs in the same process, and does not require docker or a third party API.

For example Monty by the pydantic team, or the Anthropic sandbox which I believe uses OS level primitives.

Congrats on the launch, the agentbox-sdk looks interesting, but seeing as the first commit was 3 days ago - I feel a little wary to use it just yet!

One question, do you have plans for any other forms of sandboxing that are a little more "lightweight"?

Also how do you add more agent types, do you support just ACP?

Let’s just shorten it to AaS?