mattturck

6 ms·

1.
by mattturck 1y ago
I don't think that's all the general consensus
2.
by mattturck 2y ago
Benchmarking is here: https://surrealdb.com/blog/beginning-our-benchmarking-journe...
3.
Mad (ML, AI and Data) Landscape(mattturck.com)
5 points by mattturck 3y ago|1 comments
4.
by mattturck 3y ago
The OG market map of Data/AI returns for its TENTH year (2,011 logos in total vs 139 back in 2012) + 24 themes we're thinking about in 2024, including: * Is the Modern Data Stack dead? * Consolidation in data infra * Checking in o
5.
by mattturck 4y ago
Thanks both for a thoughtful discussion. Just one important nuance -- VCs like me who come in early and stay with portfolio companies for 5-10 years are both on the "buy" and "sell" side of the market. So yes, a slower V
6.
by mattturck 5y ago
Confluent, Kafka, and the real-time data opportunity: a quick analysis of the S-1 ahead of Confluent's IPO.
7.
by mattturck 6y ago
The ML, AI, and Data stacks are all in early days compared to the broader software stack. We were curious about how the small but growing number of public companies in these stacks have performed compared to the broader market, so we create
8.
by mattturck 6y ago
Jack Hanlon, VP Data, Reddit, speaks at Data Driven NYC
9.
by mattturck 6y ago
Julien Le Dem, CTO of Datakin (makers of Marquez) discusses the OpenLineage initiative at Data Driven NYC.
10.
by mattturck 6y ago
Congrats on launching this - great for the whole data industry
11.
Resilience and Vibrancy: The 2020 Data and AI Landscape(mattturck.com)
4 points by mattturck 6y ago|1 comments
12.
by mattturck 6y ago
State of the union of the data & AI ecosystem.
13.
Quick S-1 Teardown: Palantir(mattturck.com)
1 points by mattturck 6y ago|1 comments
14.
by mattturck 6y ago
Some thoughts and notes on the Palantir IPO.
15.
Quick S-1 Teardown: Snowflake(mattturck.com)
1 points by mattturck 6y ago|1 comments
16.
by mattturck 6y ago
Overview of the upcoming Snowflake IPO
17.
When is AI not AI?(mattturck.com)
2 points by mattturck 6y ago|1 comments
18.
by mattturck 6y ago
Inspired by the issues at ScaleFactor: * Using humans in AI is a feature, not a bug * Whether you can “fire” those humans along the way makes or breaks the business * Not all business problems lend themselves well to AI automation
19.
Building a $12B Public Company: In Conversation with Olivier Pomel, CEO, Datadog(mattturck.com)
2 points by mattturck 7y ago|0 comments
20.
Fundraising: Push vs. Pull(mattturck.com)
1 points by mattturck 7y ago|0 comments
21.
by mattturck 13y ago
Yes on both. The second point is particularly interesting, and counter-intuitive. There's something about the necessary learning curve to figure out how to use a Bloomberg terminal that makes it sticky. People end up viewing knowing
22.
by mattturck 13y ago
Yes, agreed. But the difficulty here is that a lot of those niches are very small, in terms of number of users. Assume for example you're building a product focused on munis, which I don't think is a very well covered niche for
23.
by mattturck 13y ago
Great thoughts here, and funny story on Cap IQ. Speaking of which, Cap IQ is exactly an example of positioning away from the Bloomberg terminal (with a core initial focus on investment banking as opposed to trading). Unclear whether there