people from different camp will shout those popular names: Python, R, SQL.today, the data language is exactly the language you speak.AI - the super compiler - has added one more layer in the stack. Just like many of us didn't learn assembly language, future data engineers don't really need to learn SQL.In fact, the target language it translates your speaking to will likely be JS as it can run...
But more importantly, I think it is the product itself, the market is probably does not appreciate that much of "customization / personalization" as I thought, in other words, we are probably haven't figured out the best path to get the ideal users yet.
In the other side, free users do not have this issue. We do have free tier which counts for 1/3 of all active users.
I doubt if "bootstrap" is the right way for this type of product/market.
The famous PMF survey (how do you feel if you can no longer use this), %50.8 responds with "very disappointed". And I deeply know this product is pretty unique offering in "finance tracking" market.
But the MRR stays in this level for 6 months now. I feel I do not have ideas to break it through.
Our platform is arguably the most flexible finance tracker on the market. It allows users to build complex models and insights purely through data points and formulas. From a product standpoint, we’ve hit our vision.But the business reality is a different story. Three years later, the MRR isn't even enough to cover a single developer's cost of living. I’m constantly caught in a loop between...
However, the other side of this double-edge sword is its fragility, when data or logic grow in complexity, it raises more errors than it should. That's when a niche product gets its chance to chime in.
The url is https://sheetslide.comInteresting HN automatically converts it to its parent site columns.ai (probably because they share the same IP address)So I'll have to make a new post to clarify it!
Anything is clickable and styleable on the canvas though.
It does not use database for any "random search", but yes, columns.ai is a data analytics tool that allows you to connect supported live data sources like Google Spreadsheet, Airtable, Notion Database to create visual stories.
The analytics engine is home built (https://github.com/varchar-io/nebula) but it is not a database. And I don't use LLM agents, just build logic how to purify data returned by LLM, and fit them into an optimized visualization.
Hope I answered your question!
https://www.youtube.com/watch?v=wVEqYKzZrjU
Long form of demo:https://www.reddit.com/r/fina/comments/1cci1cw/preview_fina_...
Someone posted about his 5 steps to use ChatGPT (Bing Chat) to find data and visualize it.I thought this could be done in just one step, just to share - https://twitter.com/caoxhua/status/1662367348488306689The downside of this - I don't think ChatGPT is can reliably return "accurate" data, it is also not great for "real-time" data.I hope Bard can do better at this with its giant search index...