We're still working on Mito - it's not a retired product by any means. Pyoneer is just another stab at the same problem for a different user group.
MMR-wise, we scaled to profitability. PMF-wise, we have not reached this. We have large customers who make up the bulk of our revenue who love the product, and use it quite effectively as the basis for their entire Python program, but, transparently, scaling is hard!
Is it the trap of dogfooding (building the thing you wish you had) without sizing the market?
Very possibly. But I think this is a much bigger pain point at large orgs with legacy processes than you realize, though. Every large bank has an entire development teams that are tasked with transitioning legacy processes out of spreadsheets. We're aiming to improve the efficiency of these developers dramatically.
For some of the spreadsheets I've personally automated, I think this would take 300 hours of work and make it like 5...
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Sure thing - thanks for the good thoughts!
We're still working on Mito - it's not a retired product by any means. Pyoneer is just another stab at the same problem for a different user group.
MMR-wise, we scaled to profitability. PMF-wise, we have not reached this. We have large customers who make up the bulk of our revenue who love the product, and use it quite effectively as the basis for their entire Python program, but, transparently, scaling is hard!
Very possibly. But I think this is a much bigger pain point at large orgs with legacy processes than you realize, though. Every large bank has an entire development teams that are tasked with transitioning legacy processes out of spreadsheets. We're aiming to improve the efficiency of these developers dramatically.
For some of the spreadsheets I've personally automated, I think this would take 300 hours of work and make it like 5...