sails

Amazing to see this, I haven’t thought about this since 2013. This turned my very basic entry level 550D into a crazy powerful camera for time lapse photography, I loved it!

> Some large companies’ pilots and younger startups are really excelling with generative AI,” … “It’s because they pick one pain point, execute well, and partner smartly with companies who use their tools,”

Everyone victory lapping this as a grand failure should pay attention to the above snippet.

I did an ERP implementation for manufacturing years ago, it was such a nightmare.

I imagine a good approach that would solve some of my reservations would be a strict core ledger, especially as it relates to inventory and finance related transactions, but then relatively flexible around the specific product domain (we did craft beer, which in the end was a nightmare to map to the ERP processes)

Flexible where it matters, strict where it matters. Idk, but good luck!

> Traditionally, end-users were non-technical and would be stuck with whatever the application developer gave them. But now every user has an LLM too.

Interesting point.

I keep coming back to the idea that users could request changes, and they could be experimentally deployed immediately.

If you could consider how a team could use linear in conjunction with this that would be very interesting.

I would imagine matching tickets/conversations from Linear mcp to use as an overlay of context

Turns out they are

https://www.reddit.com/r/ios/comments/p147sn/apps_like_yelp_...

They are also marketing “nearby” coffee shops in the Home Screen stack widget which is pretty invasive, I’m surprised not to hear about it

Figure out how to make it uncompromisingly productive for power users and then dumb it down, not the other way around way around

Interesting distinction is deliberate vs unintentional accountability sinks.

DMV sounds more like incompetence than design. Compare with airline where the system is “better” when you have no recourse.

sea.dev - Software Engineer - UK/EU - Freelance - Fintech

Python essential

We are looking for an experienced Software Engineer to help accelerate our AI backend. We'd like someone who can jump in and accelerate/own large components of the development.

For someone London based, this could very likely turn into a FT role. Must have highly relevant experience and strong references.

Please share your details at https://www.linkedin.com/company/seadotdev/

> It's not a shadowy cabal; it's really just the fear of going out of business.

Thanks for the insight, I was wondering about this point.

I generally tend to try and attribute what _feels_ like coordinated cabal behaviour to general incompetence or lack of control. This feels like one of those situations.

I've worked around banks and this erratic behaviour is pretty common, and mostly due to short term personal motivations, and lack of coordination rather than an excess of coordination (i.e. collusion - which is not to say that banks aren't guilty on this point, but I think mostly not the case)

Has anyone seen any good eval techniques for the OpenAI structured output api?

Wondering around a new city today I had a similar thought.

Prior to an iPhone I’d have the general lay of a city memorised within 10min of landing, using a paper tourist map, and probably never feel disoriented, let alone lost.

This morning I walked 2 blocks further than needed (of a 1 block walk) because I wasn’t at all oriented while following Google maps.

I won’t spell out the AI comparison, other than I think more “apps” will be created, and predictable “followed the GPS off a bridge” revelations.

It has become a sales oriented product, which is where the alternatives struggle and they shine (relatively). Round robin, intersecting calendars etc

They have dropped the ball on the admin UX and menu design, very confusing.

Thanks! Any tips for optimising the operational process? Most impactful thing that you did to reduce friction?

Congrats!

Do you think the US flip made a meaningful difference (presuming you did it for US customer/investor access)? Lucanet is EU, so maybe it complicated it in the end

I couldn’t make much of atmo given the SF constraint, but I use the UK2 model for UK forecasts and it seems to be a similar level of detail and does very well taking topographical and micro weather nuance into account. Depending on your location you might find an equivalent short range model

Add a cable with red/green status light for home office door

Agree, based on the clips, it looks a bit random.

I think it is looks to be very good, and probably the best I’ve seen having given it a cursory search recently to see what was possible.

In terms of what I’d like to see, open ocean waves generally have more rhythm, I’d be very interested to see a simulation of 15 knots of wind blowing over 1km for a few hours and see if that matches what I observe, which would be relatively organised wave trains (sets) that build and disperse.

Updated!

Apply: join.sea.dev

sea.dev | Product Engineer | London, UK | Remote (EU time zone) with quarterly gatherings | Full-time | Fintech

sea.dev is looking to hire our second engineer. We are looking for a “Full Stack Product Engineer” to help build our product. We are building technology that enables financial institutions to flexibly embed LLM capabilities into their workflows and product offerings. The founding team has worked at world-leading financial and research institutions, and brings together decades of experience in data technology, graphs, and finance. We have extensive prior experience building data teams and launching data products from scratch.

FAQ: Pre-seed. VC-backed. Team of four.

Apply: join.sea.dev

sea.dev | Full Stack Product Engineer | London, UK | Hybrid UK | Full-time | Fintech

sea.dev is looking to hire our first engineer. We are looking for a “Full Stack Product Engineer” to help build our product. We are building technology that enables financial institutions to flexibly embed LLM capabilities into their workflows and product offerings. The founding team has worked at world-leading financial and research institutions, and brings together decades of experience in data technology, graphs, and finance. We have extensive prior experience building data teams and launching data products from scratch.

FAQ: Pre-seed. VC-backed. Team of three. Fully remote but centred around London

For more details see https://join.sea.dev

Any use of this category of tools in OCR?

sea.dev | Full Stack Product Engineer | London, UK | Hybrid UK | Full-time | Fintech

sea.dev is looking to hire our first engineer. We are looking for a “Full Stack Product Engineer” to help build our product.

We are building technology that enables financial institutions to flexibly embed LLM capabilities into their workflows and product offerings.

The founding team has worked at world-leading financial and research institutions, and brings together decades of experience in data technology, graphs, and finance. We have extensive prior experience building data teams and launching data products from scratch.

FAQ: Pre-seed. VC-backed. Team of three. Fully remote but centred around London

For more details see https://join.sea.dev

> Now a few bits about what we are:

These are great. I think a lot about BI tools, seldom find any that I would use!

Very cool!

Do you anticipate going more towards improving the data modelling capabilities (take on dbt et al) or more towards Business Intelligence (dashboards then hosting then drag&drop query builder all the way until the dreaded pdf export)

Something that is overlooked in the dbt direction is how complex data models get. BI nothing seems overlooked, it is just hard!

I like that you have a clear anti-ICP [dbt customers, analysts]. This keeps you clear of the BI/DWH space. I do wonder how you avoid getting stuck in the BI tar pit [], or avoid getting stuck in the dbt middleware zone. Maybe with a core focus on engineers getting further and further without needing a BI/data team!

[]https://twitter.com/generick_ez/status/1782844341674786952

Needs dbt to function

People get pretty far with tablet apps these days (literally), and there is a good market for the development of the apps. Hardware integration is always the challenge.

See 59-north for examples of offshore sailing schools who seem to have found a good mix of modern and reliable

https://www.sailmagazine.com/cruising/navigating-by-tablet

The only thing I don’t like about a tablet is that it will ruin your night vision. Integrated marine electronics usually cater to that pretty well.

This is very useful for scheduling, and has a lot of the features being requested.

Clicking an item could show you similar items before it takes you to the item (or have capability for similar)