Interesting take.

Assumes we all benefit from playing into the system Uber created.

Maybe true on a local maximum.

But is it true on the global one?

No one actually knows what the global maximum is, or how to get there, outside of any specifics that religion may or may not tell you.

A "global maximum" closely parallels the definition of faith. It's the maximal good for the maximal number of people, and a real destination for some (surely not all are worthy of it, as long as human evil exists). How we get there, what it is, who actually makes it there, on what basis, what's preventing its realization at present, how to overcome such obstacles --- these are the questions that religions (including secular humanism) answer.

Does this plug in to any KYB providers to handle exceptions?

We have AiPrise already embedded but it'd be nice to have an agent do a first pass to review exceptions that get flagged for manual review.

Yup! Arva can be integrated into current compliance stacks!

Honestly I love the direction and I do this all the time.

If you could 1) integrate directly with iMessage so I'm literally just texting and 2) have your interface provide me some sort of LLM summary tool/weekly digest/remind me of things smartly (I dunno it's up to you to figure out), I'd probably do this.

Thank you! 2) is an interesting idea. I plan to add functionalities that can smartly suggest and categorize notes in the future. Thanks for the suggestion!

What did I do last year?

Last month?

Last week?

How does that correlate with what’s ahead?

Something like that would keep me from relearning the same stuff over and over would be very helpful. I suffer from a TBI and do my recall/remember well. Whenever I do technical work, I have to constantly relearn steps. Would be nice to have those steps easily accessible, without effort from the user.

My app tetr https://tetr.app has a couple of the things you mention, although not LLM based yet it does support alternative views and summaries (as well as special UI for tasks).

Great I’ll check them out!

This is really helpful thanks.

Do you actively monitor how much customers owe you or even cap the size of their bill before they need to pay you?

This would be in case they have a significant amount of usage in a period.

Not at this point, usage never ends up being huge amounts of money because we have flat SaaS fees as well.

The problem most teams have with pricing is they think it’s a sales problem.

It’s not.

It’s a cross-functional problem that mostly has to do with product (how it’s bundled, which features are on which tiers, and how customers move between tiers) and customer segmentation (how different customers value the features).

A rogue marketer at a former company spent weeks with Zapier "trying to improve analytics". They went way too far to the point of saying, "I almost re-built Segment with Zapier".

Needless to say the Rube Goldberg machine of Zaps was impossible to debug and all the data and metrics ended up being wrong for the whole quarter.

We ripped it all out and had to start fresh.

It did a good job, then. How long would it have taken for the marketer to get their project prioritized if it hadn’t already demonstrated value?

Low-code-no-code: it’s all fun and games until it isn’t; and when it isn’t it’s an tire-fire.

This is really well laid out and digestible.

FWIW this is what growth teams think about all day when putting cash to work to grow the business.

Revenue = new revenue + expansion - contraction - churn

As someone who's operated adjacent to this company for a number of years, I think it'll be a good thing for your firm.

1) They're doubling down on enterprise-grade features "with the goal to grow enterprise application libraries"

2) They're doubling down on enterprise GTM "we will use the additional funds to accelerate go-to-market initiatives and customer support in selected areas."

3) Finally, they hired someone to lead their enterprise efforts in the US who has consulting experience: https://www.linkedin.com/in/guneetbedi/

That interesting.

Could have a federated LLM approach with different orgs owning different LLM specialties.

Commercial arrangement could look like telco’s roaming agreements.

Could also work in DIY-land with P2P networks of people with different models running.