im currently building a home. one of the biggest issues is FAR which is very much driven by local laws. are you intending on addressing that at some point ?
cool stuff. my comp sci major feels almost completely redundant in this new vibecoding era and i feel like the only way to stay relevant as a programmer is to learn all these compute primitives and become an LLM systems guy.
the tediousness of keeping documentation up to date and the natural tendency towards small attention spans has always come up as a tax on organizational efficiency: complicated org structures, legibility exercises, communication tollgates etc. there is real value in reducing the friction in the former so that the latter becomes less of a burden.
at the same time, context poisoning is a real cognitive problem for humans too and I can't tell you the number of times I've seen irrelevant details become a drag on execution. my fear is that having too much context will only cause bikeshedding and a revisiting of prior decisions.
frankly, our organizational structures were already pretty good at creating mechanisms for eliciting the right implicit context at large scales. it is possible that we're just going to come up with the same mechanisms from first principles...
fabulous work. ive been following you since danswer. you certainly create a lot of value and have been successful in getting the community to cover the long tail of integrations.
its interesting to see how "lock-in" is the main pitch here. all things considered, i don't think "lock-in" is relevant at all unless the activity performed with the tool is highly strategic to the company.
you could argue that some orgs may not want openai/anthropic to have their sensitive data leave the parameter, but im also here to tell you that even the most privacy sensitive companies in the world probably resolve this by having a proxy in between the users and the LLM APIs from the labs.
so where does this leave you ? cost savings from OSS? maybe, but its hard to imagine that we are in the phase of the adoption cycle where companies have become as acutely aware of costs as you think they are.
my 2c - focus on the integrations and see which one gets most traction. that will be your value capture mechanism long-term.
Looks like Mira/Brad Lightcap were under the impression tha gdb was essentially fired from Stripe. Also, interestingly, Ilya seems not to know who is paying his legal bills?!
It was never about price or performance. Price and performance may be things you care about as a hobbyist, but as a business you have a lot of other considerations.
at ng3n.ai ive been using datalab.to for document processing. currently its mostly for conversion to markdown and some extraction.
ng3n is more of a grid-like workflow solution on top of documents. it's a user-facing application geared towards non-technical users that have processing needs.
if there are all these new problems that became solvable, what exactly are they?
id be interested in replacing datalab with extend, but im not sure what avenues that opens for ng3n. would be very curious to learn!
I think the discussion about normie users vs twitter bubble is fascinating. As times goes on, power users are going to have a worse and worse experience.
looks great btw. congrats