caoxhua

8 ms·

31.
by caoxhua 3y ago
why not? it is necessary to protect API server with secure auth. It does not charge you a penny.
32.
Show HN: Public data research using ChatGPT(columns.ai)
8 points by caoxhua 3y ago|2 comments
33.
VAAS(visualization as a service) now is ready to play with(github.com)
3 points by caoxhua 3y ago|1 comments
34.
by caoxhua 3y ago
We have open sourced the core data model and graph model used in Columns. Now this simple API is ready to play with, check it out now.
35.
Show HN: Turn any web page content (text) to a sharable word cloud link(youtube.com)
2 points by caoxhua 4y ago|0 comments
36.
Super simple live dashboard to spreadsheets(columns.ai)
1 points by caoxhua 4y ago|1 comments
37.
Show HN: 5 Clicks to forecast the future of your data with no code(youtube.com)
1 points by caoxhua 4y ago|0 comments
38.
We brand Columns as “Miro for data”(columns.ai)
2 points by caoxhua 4y ago|0 comments
39.
Show HN: visualize Kafka streaming data(columns.ai)
1 points by caoxhua 4y ago|0 comments
40.
by caoxhua 4y ago
"I do it in Python outside GA." - do you mean you export different segments data from GA and they use Python to glue them for combined/join view?
41.
Ask HN: Is there a market for a better Google Analytics client?
2 points by caoxhua 4y ago|3 comments
42.
Show HN: Excel or visit? fast analysis and visualization(github.com)
1 points by caoxhua 4y ago|0 comments
43.
Show HN: Visualization as a Service(columns.ai)
3 points by caoxhua 4y ago|0 comments
44.
The fastest way to visualize your data into a beautiful story(loom.com)
2 points by caoxhua 4y ago|0 comments
45.
by caoxhua 5y ago
Fundamentally they both need to do computation to answer query, but they are very different, a couple of highlights: 1. API service invest a lot on reliable data ingestion/loading for users, you specify data spec, data will be served w
46.
by caoxhua 5y ago
we use our in-house baked engine - open sourced here https://github.com/varchar-io/nebula Yeah, Tinybird has lots of similarities, I will do more research on it, thanks for the reference.
47.
by caoxhua 5y ago
Thank you for the correction, appreciate it! I'll update it.
48.
by caoxhua 5y ago
Hey, thanks for your comment! You don't encrypt, just leave your data where it is, what we need is a live connection, after loading your data in our distributed cluster in cloud, we have option to encrypt the data for further security
49.
Show HN: Turn any data into a fast analytical API(columns.ai)
26 points by caoxhua 5y ago|9 comments
50.
Show HN: Visualize your streaming data in real-time(github.com)
5 points by caoxhua 5y ago|0 comments
51.
Feedback – keyword research tool on tweets(docs.google.com)
2 points by caoxhua 5y ago|0 comments
52.
by caoxhua 5y ago
You already said "on the columns", so it will be https://columns.ai , :)
53.
BI System in Slack(columns.ai)
1 points by caoxhua 5y ago|0 comments
54.
Communicate data insights in common workplace Slack?
1 points by caoxhua 5y ago|0 comments
55.
by caoxhua 5y ago
cool - I also hand crafted a CSV parser following RFC4180 a while ago, not sure if you have a repeatable way to benchmark the performance difference? https://github.com/varchar-io/nebula/blob/master/src&#
56.
by caoxhua 5y ago
very cool! Somehow it makes me think of "Tinder for topic" - focus on a mobile app which uses ML algo to keep learning users' "keep" or "throw-away" to keep improving users' feed, I believe it have po
57.
by caoxhua 5y ago
Thank you for your feedback, appreciate it! yes - for simple, we can call it Pinterest for data stories. I haven't thought about that problem of unclean data yet, right now as prototype, the map module drops the unmatched entry after t
58.
Feedback: Will a chrome extension like this be useful?
3 points by caoxhua 5y ago|2 comments