dbreunig

Yes, look up Winshuttle.

A very successful company with some of the happiest customers I’ve ever seen, whose entire product was a SAP hack that allowed people to enter their data using Excel. As someone unfamiliar with SAP, absolutely blew my mind.

Not dictation…copy/paste I think. Thanks, fixed.

Thanks! That's a typo!

Can anyone provide a reason an enterprise would choose Grok over a similar class of models?

What is Windsurf's (or for that matter: Cursor, Cline, or CoPilot) moat? This seems like a great deal and timing for them.

I was struck by this as people suggest alternatives that refute the headline (QGIS, PostGIS, GDAL, etc): nearly every one emerged in the early 2000s.

Strongly agree with your sentiment around maps: most people can’t read them, they color the entire workflow and make it more complex, and (imo) lead to a general undervaluing of the geospatial field. Getting the data into columns means it’s usable by every department.

Not disjointed at all. That last topic is the big challenge to solve.

That’s great! The difference is you’re familiar and know how to do that

Getting started from 0 with geo can be difficult for those unfamiliar. DuckDB packages everything into one line with one dependency.

Most of those tools came out circa ~2000.

Yeah, I feel old.

Author here.

QGIS is amazing. It's really great. It also came out in 2002, so I think the headline is safe.

Yes. The difference between provisioning a server and running 'install spatial' in a CLI is night and day.

Docker has been a big improvement (when I was first learning PostGIS, the amount of time I had to hunt for proj directories or compile software just to install the plugin was a major hurdle), but it's many steps away from:

``` $ duckdb D install spatial; ```

Author here: what's special is that you can go from 0 to spatial data incredibly quickly, in the data generalist tool you're already using. It makes the audience of people working with geospatial data much bigger.

(Geopandas is great, too.)

Author here: the beauty of DuckDB spatial is that the projections and CRS options are hidden until you need them. For 90% of geospatial data usage people don't and shouldn't need to know about projections or CRS.

Yes, there are so many great tools to handle the complexity for the capital-G Geospatial work.

I love Felt too! Sam and team have built a great platform. But lots of times a map isn't needed; an analyst just needs it as a column.

PostGIS is also excellent! But having to start up a database server to work with data doesn't lend itself to casual usage.

The beauty of DuckDB is that it's there in a moment and in reach for data generalists.

Don't forget Blackwater!

When you log in you can create your own lists, bookmark ones you might like, and only see the ones you want.

Nice! Great idea and focus.

I have a similar function built into my app, which takes the proposed name for a checklist and description and uses it to generate steps. Have heard many use it for executive function management: https://steplist.app

Altman appears to say AGI is far away when he shouldn't be regulated, right around the corner when he's raising funds, or is going to happen tomorrow and be mundane when he's trying break a Microsoft contract.

If everyone has the same terms and roughly equivalent models, enterprises will continue choosing Microsoft and Amazon.

When You're Raising $6.6B: "It is possible that we will have superintelligence in a few thousand days."

When You Want Out of Your Contract w/ Microsoft: "My guess is we will hit AGI sooner than most people in the world think and it matter much less."

Your first quote leaves off the important bit: against the headwinds of Google culture. I agree, the first half of the sentence is a common scenario among CEOs, it's the 2nd bit that makes it especially challenging.

I disagree that it was "fine" because the people who were respected and held up as prime examples of Googlers – for decades – almost always had nothing to do with the ads business. This sends a signal to the rest that the ads business doesn't really matter, it's not the important work, it's akin to the janitorial work that has to happen so the rest of us can work here. If you do that long enough you end up with people optimizing towards things that aren't aligned with the needs of the business. It was on autopilot, relatively, compared to other areas.

Pichai inherited one of the most difficult challenges: he had to figure out how to grow revenue right as search revenue was plateauing and money was becoming expensive, all against the headwinds of Google's culture. Your comment is a good example of the headwind: I can't think of another company where a greater share of its employees actively despised the industry that paid for them all to be there.

Google's culture wasn't a problem – and maybe a good thing! – when you had a gigantic money printer working in the background, paying for everything. But it was there, ready to be a problem once times got tough.

Thanks! This is a near perfect use case for Ractors since we chunked all the files and there’s no need for the file processing function to share any context.

Mice != Humans

Same exact experience. Was on the top of HN for a chunk of the day, saw a couple votes. Scanning the results above, it’s very clear there’s brigading, bots, and pay. Just look at the daily distribution.

I launched an app on Product Hunt several months ago.

I found the exercise of listing the app and creating the content for the listing a worthwhile exercise, but nothing else about the experience worthwhile.

Every day its listings are filled with redundant apps, template shovelware, wrappers around AI APIs, and random non-app content (think ebooks, blog posts, courses, etc.) Very occasionally you'll find a useful utility or two by a independent team (but you gotta scroll wayyy down). PH has completely failed to defend their ranking algorithms against spam and brigading.

It's crazy that the "minicar" Kia Rio ranks in the top 10 among other-driver deaths. The Kia effect is real.

If you look at the Pacific Theater, the inflection point is later, really amping up in late 1943.

I'd imagine a one contributing factor is fixing the ridiculously buggy Mark 14 torpedo, which cleared up right about that time: https://en.wikipedia.org/wiki/Mark_14_torpedo

Here's a great video on it: https://youtu.be/eQ5Ru7Zu_1I?si=_1ujGsLQumraKz1Q

I would suggest checking out the Databricks announcements on nl-to-sql topic this week. They address exactly these complaints head on (pointing out most things released so far are just calls to OpenAI and fail at basic accounts) and run through their approach to the problem so it actually works (lots of different steps, calls to different models tuned for different tasks, etc.) The detais wer fascinating.

This shows how bad it is. If you're proactively sharing a package of docs with the Washingington Post, you're toast.

Altman's outreach, his tweet, and the thousands of tweets and comments talking about how similar Sky is to ScarJo is enough to win the case in California.

Fixed. Thanks again.