Geosql: A Claude/Codex skill for geospatial data
46 points
by rzk
4 hours ago
| 3 comments
| github.com
| HN
OtherShrezzing
28 minutes ago
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>4x improvement on geospatial tasks with map in the loop.

The graph shows a baseline 2% task success rate improving to to 8% task success rate, but the evals section details 100% success rates across the board.

I'm not sure what the effectiveness of this skill is from the readme. Is it 8% success, or 100% success?

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thosch0
1 hour ago
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Question from an outsider: Who is paying for tools like this? The examples shown on the website (e.g. all streets in Nevada) look nice, but what are those analyses actually used for? I am pretty sure it is not only about having pretty maps but their has to be a business value I don’t see right now.
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willtemperley
30 minutes ago
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20 year GIS dev here. Looks pretty useful for data exploration. I'd say one of the more compelling GeoAI things I've seen.

The problem is there's really a lot of data out there and it's a lot of work to move it around, e.g. between S3 buckets. There's also a ton of GIS SAAS vendors who are pure rent-seekers: I'm looking at a newer offering charging $23 per month for 10GB storage. This has more utility than their offering in my opinion.

The good thing here is that it could keep data provenance because it's SQL over known datasets.

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pogue
15 minutes ago
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I wonder if this would be useful in OSINT stuff.
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lodovic
39 minutes ago
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This can be very useful for urban planning. you could have an agent investigate the optimal spot for a new datacenter, examine solar power installations, and so on.
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minraws
1 hour ago
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If I see another skill or markdown on hackernews I might just consider leaving the platform. What even is the point of sharing markdowns...

Either LLMs will be so good in a few months this will be redundant.

Or it won't be and LLMs are a dead end and there are better ways to build with LLMs

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