Love seeing young devs shipping real projects!
Out of curiosity, have you tried benchmarking your MLP on any real-world data sets, or was this mainly about learning CUDA/C++? (And what’s the biggest gotcha you ran into?)
Really like this direction: the pain of integrating multiple accounting systems is very real (especially when you’re building SaaS tools for global founders).
Quick question: how do you plan to deal with country-specific tax logic or weird edge cases (like German invoice sequencing or Singapore GST)?
Also, curious about auth: do you see most founders struggling with OAuth for all these platforms, or do you have plans for unified auth/session handling?
For us, data mapping and keeping invoice/customer objects in sync across platforms is always messy. Would love to hear how you’re thinking about this, especially re: long-term maintenance.
Love the pain point here: the “bring your own SMTP” + low infra cost really stands out. We see tons of SaaS/AI founders struggling with email infra.
Any plans to open up built-in templates for onboarding, product updates, investor comms? Or is the focus strictly on newsletter flows?
(Curious if you’re seeing more demand from SaaS or content businesses?)
I’m curious about the real value here. In my experience running founder communities, fully AI-generated forums quickly devolve into low-signal noise: i.e. lots of “summary,” little depth.
Anyone seen practical use-cases where LLM-moderated forums are actually better for busy users, not just more “efficient,” but more insightful?
Would love to hear real examples (not just theory).
Just to clarify: have you found Claude’s code generation actually helps with business logic, or is it more about boilerplate/automation? I’m experimenting with LLMs for operational modeling in startups, curious if anyone tried similar with actual financial projections.