I would love a large screen version of it with an array of cameras that would allow people to communicate in some sort of futuristic FaceTime experience.
Ask HN: What startup/technology is on your 'to watch' list?
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Re: Ask HN: What startup/technology is on your 'to watch' list?
#12Having a real-life videogame HUD with a blue marker showing my next destination sounds fantastic.
Re: Ask HN: What startup/technology is on your 'to watch' list?
#13I really like roam research and its open source alternative obsidian for note taking and research. But I feel there is still something lacking and there is definitely scope for a lot of improvement to make these type of software more useful. Still love the direction in which this is headed and it feels more in-sync than keeping a folder full of text files.
Re: Ask HN: What startup/technology is on your 'to watch' list?
#14I really like roam research and its open source alternative obsidian for note taking and research. But I feel there is still something lacking and there is definitely scope for a lot of improvement to make these type of software more useful. Still love the direction in which this is headed and it feels more in-sync than keeping a folder full of text files.
Can you share a link to the source? I didn't see a link on obsidian.md
Re: Ask HN: What startup/technology is on your 'to watch' list?
#155d glass storage. I think it will revolutionize it, specifically the backup /dr world. it can't come fast enough
Re: Ask HN: What startup/technology is on your 'to watch' list?
#16Re: Ask HN: What startup/technology is on your 'to watch' list?
#17Re: Ask HN: What startup/technology is on your 'to watch' list?
#18Having a DS background, I love what SQL-orchestration tool dbt (and peers) have enabled: data consumers to rapidly create our own safe data pipelines. There's easily a 10x productivity improvement for most of my transformation pipelines vs. when I write them in Python or PySpark.
But batch ML and SQL are not that friendly (even BigQuery ML is too limiting). I end up butchering dbt's value (simplicity and iteration speed), splitting the DAG into pieces and orchestrating them with Airflow so that I can wedge in other non-dbt parts (like feature engineering, inference, logging, detecting stale models, ...). This isn't what the future looks like.
I've tried switching to Databricks, but do not see this as the path forward for unioning the warehouse + batch ML.
Hopefully Snowpark is a step forward :)
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Separately, https://materialize.com/ is something I'm paying attention to! Being able to implement all of my SQL-based pipelines as materialized views would be immensely valuable. They recently raised capital and they could become huge.
Re: Ask HN: What startup/technology is on your 'to watch' list?
#19I love their Prisma 2 product.
And it lives up to the hype, it is indeed a next generation ORM. Very useful when you're rushing to iterate.