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Looks great! I work in enterprise planning and wonder what is keeping you from targeting larger firms. Is the startup-target temporary or do you expect to let your clients "scale out" of the product?
One thing I have to really congratulate you on is your product video. I honestly think it's one of the best I've seen for any software. It showcases the functionality, displays the actual UI, doesn't rely on narration, is visually interesting, and succinct. Was it made internally or with an agency?
One thing I have to really congratulate you on is your product video. I honestly think it's one of the best I've seen for any software. It showcases the functionality, displays the actual UI, doesn't rely on narration, is visually interesting, and succinct. Was it made internally or with an agency?
Earlier quoted context omitted.
I am curious about your comment on 100-1000x fewer formulas. Is there a simpler example you can show how your product will do it relative to Excel? When I read your comment, I was thinking, SUM in Excel operates over many cells. You can have Arrays, etc. in Excel. So I am not sure how formulas work in your product that is fundamentally different. Is this like a function that I can define and call that function so it…
Great question! Quite often in financial models, you're dealing with "dimensions" (e.g. your revenue is broken down by product, geography, and time). To model this in Excel you have to write complex SUMIF/INDEX/MATCH formulas. Then you have to drag these formulas over 1000s of cells (if you make a mistake you're screwed, see https://eusprig.org/research-info/horror-stories/ ). Causal's building blocks are "variables"…
Do you offer monte carlo simulations for forecasting?
Docs: https://docs.causal.app/formulas/values-with-uncertainty
Do you offer monte carlo simulations for forecasting?
Yes! Causal natively supports Monte Carlo simulation. E.g. instead of writing "7.5%" in a cell, you can write "5% to 10%" and it will turn that into a distribution, and automatically run a few thousand samples with different values every time it re-calculates. Docs: https://docs.causal.app/formulas/values-with-uncertainty
Looks interesting, any similarities to CausalLens product?