De-risking data pipelines - would love your feedback!
We built OrgStack in order to solve a costly problem for data-driven teams. OrgStack constantly monitors the quality of data flowing through production data pipelines, so that engineers don't have to. No surprises. No downtime.
Our landing page is here: https://orgstack.io
Would really appreciate some candid feedback regarding both the problem and our solution.
A few validating questions I would typically ask:
Is this currently a problem for you?
How do you solve it now?
What would your idea solution look like?
Thank you!
Hi there,
I really like the idea as data quality is a constant struggle for data teams. But after looking at the home page it is quite unclear to me how you solve the problem.
Hi Romain,
Thanks for taking the time to check out the site. I appreciate the feedback. I noticed that other technical, developer-centric products often include video demos and architecture diagrams right on the landing page (https://www.getdbt.com/product/). Would something like this add more clarity? Thanks in advance.
Yes, it might help. But more than a demo, and explainer would help. The questions I have are: is it for external data integrations or internal ones? How does it work? How do I get notified if poor data quality is detected and what is next? Is it checking data quality during the etl process or afterward? ...
Video like those ones might help:
https://www.wyzowl.com/20-awesome-software-explainer-videos/
Thanks for this, Romain. I'm in the process of adding a "How it works" section on my landing page, along with screenshots and explainers. I would love your feedback on the next iteration (once it goes live), if you're open to it. What can I do for you?
Yes, sure. I am on and off on indiehacker but happy to.
Thanks for offering. Not much, I am looking for a community of data entrepreneurs, if you know any, I would love to join.
Hi Romain! I recently added several sections to the OrgStack site (https://orgstack.io), including dedicated "How It Works," "Use Cases," and "Pricing" pages. No videos yet, but I did include screenshots and more comprehensive explanations of the solution. Would love to get your feedback.
As for a community of data entrepreneurs, I've been hard pressed to find a more helpful community than Indie Hackers. Specifically, I've been listening to a lot of the IH podcasts. The episode with Baird Hall of Wavve and Zubtitle has some great insight. Also, I've been a long-time fan of Y Combinator's Hacker News. I'll be on the lookout for more communities and share as I find more. Thanks again!
This comment was deleted 6 years ago