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blef
searching PlanetScale…
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12 ms
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31.
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by
blef
1y ago
This is interesting. Funnily enough this is something that we also built in the tool I'm building called nao, which is a data editor for data teams. Because most of the SQL parsers aren't fault tolerant we had to develop our own f
32.
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by
blef
1y ago
I'm one of the biggest fan of the Django ORM and I wish it would have won the battle over alembic/sqlalchemy that I dislike
33.
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by
blef
1y ago
paywall
34.
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by
blef
1y ago
Yes.
35.
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by
blef
1y ago
The onboarding flow is neat. I will give it a try over the next days. The local setup makes the computer heat a bit every 15 minutes, but it's ok
36.
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by
blef
1y ago
Looks like a scam / hack or something it says "Funding: $30,000,000 USD investment on standard YC terms" which is weird first and second the Github mail app doing this has been developed by a Github account that is 3 days old
37.
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Claude Code but for Analytics
(getmacro.com)
1 points
by
blef
1y ago
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0 comments
38.
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by
blef
1y ago
It's actually super clever. There is tho a bit of Javascript to make it work, but I learned something.
39.
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by
blef
1y ago
I'd say 'prioritization', especially in the beginning when users do not know exactly what they need/want.
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by
blef
1y ago
Would be a perfect name if you could play every genre at once. Came for this, did not get this :'(
41.
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by
blef
1y ago
Funny but it lacks a few things to make it usable. I'd love to know on what the semantic distance is computed. To make it more usable I'd love to be able to search for a company and see where in the graph it is, this way I could e
42.
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by
blef
1y ago
I guess history repeat.
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by
blef
1y ago
It changed the career pathway for junior but the biggest change i feel is about education. It completely emptied for a lot of people the principle of learning and building something.
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by
blef
1y ago
This is a nice use of the Observable framework. Tbh I like, but I find the information difficult to read in a website organised this way when I'm used to dashboards.
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by
blef
1y ago
Congrats and happy to see them keeping up (from a bit far away) with Anthropic and OpenAI fundraise rhythm.
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by
blef
1y ago
Feels a bit weird to do a vs. when both are really not used for the same purpose. I know in the article you say it, but the title (?)
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by
blef
1y ago
Consolidation was expected to happen in the ETL space, that one i did not see it coming but it makes sense, now Fivetran can load, transform and export (Census)
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by
blef
1y ago
I would also add that context and tools are the product. This is super important to correctly tune the tools and details matter (ok you can also argue that tools are context in some way)
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by
blef
1y ago
Never heard of it. Is API the thing we develop for MCPs to interact with?
50.
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Cursor doesn't work for data teams
(thenewaiorder.substack.com)
4 points
by
blef
1y ago
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0 comments
51.
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by
blef
1y ago
I'm curious to understand why did you decided to develop a local app?
52.
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by
blef
1y ago
why is there a press kit for a clock app? also it triggers me a bit that the clock is not exactly aligned with the MacOS clock
53.
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by
blef
1y ago
I don't have my own music collection, but because of this I'd consider finding a way to have it to switch away from online providers.
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by
blef
1y ago
This is cool, tho it's a bit sad that it does not understand when the game has ended
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Build data-centric apps with DuckDB
(sqlrooms.org)
2 points
by
blef
1y ago
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0 comments
56.
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by
blef
1y ago
your pseudo makes sense—tho what's the issue with Greenpeace.de?
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by
blef
1y ago
The Twitter post is way too long I can't even read it, and probably written by an AI
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Real-world engineering challenges: building Cursor
(newsletter.pragmaticengineer.com)
2 points
by
blef
1y ago
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0 comments
59.
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by
blef
1y ago
> - Code Chunking: Chunks code files by creating an AST and finding ideal split points. I'd be interested to use it for SQL, did you try? Does it works well with it? I'm not familiar with the tree-sitter library
60.
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by
blef
1y ago
nao Labs | [Staff, Senior] AI Engineer | Paris or remote (Europe) | Python, Typescript, React We are building Cursor for data teams. Using nao, data practitioners can work on data pipelines using AI faster without breaking stuff. nao connec
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