sbalnojan

5 ms·

1.
Why "boring" AI products make money(thdpth.com)
1 points by sbalnojan 1y ago|1 comments
2.
by sbalnojan 1y ago
Hey wanted to share a quick few insights we had a MAIA, building yet another AI wrapper (that works as a product).
3.
Build for GPT-5, ship with GPT-4: why shipping worse products today make sense(thdpth.com)
2 points by sbalnojan 1y ago|0 comments
4.
Eva's first 6 weeks as marketing lead at a B2B SaaS Startup(thdpth.com)
1 points by sbalnojan 2y ago|1 comments
5.
by sbalnojan 2y ago
I’m currently in a product role, but I used to lead marketing—and when our new (and very fresh) marketing lead asked for some structure, I realized I’d never actually written down the process I relied on back then. So I did. This is the ful
6.
Dashboards Suck – How to Make Them Suck Less(thdpth.com)
2 points by sbalnojan 2y ago|0 comments
7.
I Stopped Teaching My Kids How to Code – and Why You Should, Too(thdpth.com)
6 points by sbalnojan 2y ago|6 comments
8.
Beating the Chicken-Egg Paradox: 3 Data Product Launch Strategies(infusedata.io)
1 points by sbalnojan 2y ago|1 comments
9.
by sbalnojan 2y ago
Data is valuable, but getting it is hard. Here's my take on it, taken from a book I'm writing. Entrepreneurs often shy away from data-heavy products because they believe they can't make it without the data mountains OpenAI or
10.
What's Wrong with BI(thdpth.com)
1 points by sbalnojan 2y ago|0 comments
11.
Why Your Clients Are Resistant to Data Literacy(arch.dev)
1 points by sbalnojan 3y ago|0 comments
12.
Why Your Data Consultancy Might Be One Pwd Away from Disaster – 7 Ways to Fix It(arch.dev)
2 points by sbalnojan 3y ago|0 comments
13.
The Power of Perseverance: Starburst's Journey from Open Source Vision to $3.35B(thdpth.com)
1 points by sbalnojan 3y ago|0 comments
14.
9 Ways to Sell Data Services to Non-Data-Savvy Clients(arch.dev)
1 points by sbalnojan 3y ago|0 comments
15.
The Data Consulting Club Opens(arch.dev)
2 points by sbalnojan 3y ago|0 comments
16.
Things Data Consulting Clients Hate(arch.dev)
2 points by sbalnojan 3y ago|0 comments
17.
The (Not So Subtle) Art of Not Giving a Fuck About Data(svenbalnojan.medium.com)
1 points by sbalnojan 3y ago|0 comments
18.
Arch – The Multi-Tenant Data Platform as a Service for Consultants(arch.dev)
2 points by sbalnojan 3y ago|0 comments
19.
DIY vs. Unified API vs. EL: how (not) to work with external data in your product(arch.dev)
2 points by sbalnojan 3y ago|0 comments
20.
What people are missing about timeGPT(thdpth.com)
1 points by sbalnojan 3y ago|0 comments
21.
Product Data Teams 101(thdpth.com)
1 points by sbalnojan 3y ago|0 comments
22.
Arch.dev Demo – The data back end for your AI product [video](youtube.com)
1 points by sbalnojan 3y ago|0 comments
23.
LLM Apps Are Mostly Data Pipelines(meltano.com)
3 points by sbalnojan 3y ago|1 comments
24.
by sbalnojan 3y ago
My colleague Pat just wrote up an article on LLM-based apps and how to use data engineering tools to help build them faster that blew my mind. It contains a complete implementation - with scraping context data from a docs website - chunkin
25.
DbtLabs hits another brick wall – too many fish, too few whales(thdpth.substack.com)
2 points by sbalnojan 3y ago|0 comments
26.
Data Orchestrators 101: Everything You Need to Know to Get Started(finishslime.com)
4 points by sbalnojan 3y ago|1 comments
27.
ELT 101 – The Why and What of ELT (Or the Why Not of ETL)(meltano.com)
2 points by sbalnojan 3y ago|1 comments
28.
by sbalnojan 3y ago
We couldn't find a good and comprehensive ELT 101, so we wrote our own! Key insights: ETL was super helpful a decade ago! But the assumptions that made ELT super useful don't hold any more (expensive storage, limited compute abili
29.
The vector database hype explained – the story of Victor Hector and Lecter(thdpth.substack.com)
2 points by sbalnojan 3y ago|1 comments
30.
by sbalnojan 3y ago
A visual explanation of why we should care about vectors, embeddings, and vector databases.

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