Added an entry for my data visualisation tool here: https://github.com/stared/interactive-machine-learning-list/....

Edit: found an updated link for seeing theory so I fixed it in the PR above. Feel free to cherry-pick if #24 is not relevant.

To give a sense of what the loss value means, maybe you can add a small explainer section as a question and add this explanation from Karpathy’s blog:

> Over 1,000 steps the loss decreases from around 3.3 (random guessing among 27 tokens: −log(1/27)≈3.3) down to around 2.37.

to reiterate that the model is being trained to predict the next token out of 27 possible tokens and is now doing better than the baseline of random guess.

Comments URL: https://news.ycombinator.com/item?id=46486236

Points: 3

# Comments: 0

This resonates with my startup experience, especially when the organisation is growing rapidly (which is almost always the case for VC-funded startups)

Comments URL: https://news.ycombinator.com/item?id=46147598

Points: 7

# Comments: 1

> in a way it can be more honest for a developer with any commercial intentions to not open source something while offering paid ways to modify the source code

I appreciate that you made your commercial intentions clear in the comments and I agree that you don't want to walk back your license as it definitely leads to backlash. I think developers (i.e. people on HN) tend to trust open-core models more where there's a clear separation between the core open-source components and a paid offering but I guess you don't have to overindex on those given the general audience of this tool.

I don't know what your ultimate monetization goal is, but in my opinion one realistic path is an one-time only payment of some reasonable amount with the full feature as opposed to subscription (I saw your Stripe link in the source).

[1]: https://docs.visprex.com/

> Scout was our most-used product. Its users weren’t our target market, but some were. We had vague ambitions to use it as an inbound marketing tool, but we never capitalised on it. This was a missed opportunity.

was applicable in a conservative industry like real estate and government as lots of open-core companies operate on this model (e.g. free open-source software and marked-up hosted solutions).

This reminded me of the summer when I accidentally landed my first programming gig at my friend's startup as a part-time web developer during university. I was running out of money for food as my research assistant role was unpaid and I asked around for some odd jobs in the city. As a non-CS major, all I had was data analysis skills in Python but my friend thought I was was good enough to help him out with his SaaS startup, and I ended up learning a lot on software engineering principles on that job.

Comments URL: https://news.ycombinator.com/item?id=42891388

Points: 1

# Comments: 1

Also thanks for the error checker! I pushed the fixes in https://github.com/visprex/visprex.github.io/pull/4

Yes I had the same experience for analytics work some years ago. As others have pointed out, Visprex only works in a happy path where data is a clean CSV file so will definitely need to work on data cleaning. I have a DuckDB integration planned but not sure if this is easy enough for the target audience. Will try to add some predefinied functionalities, thanks for the feedback!