Viktor.comAn AI coworker that actually does the work
FounderFlow
Runs 3 businesses. Knows what needs you now.
11 followers
Runs 3 businesses. Knows what needs you now.
11 followers
FounderFlow is the AI Executive Chief of Staff for founders running more than one business. It watches everything happening across your businesses, surfaces what actually needs your attention and why, and grades its own confidence: Verified, Very Likely, Needs Review, or Monitor Only, so you know exactly what to trust and what to double-check.
Hi Product Hunt! I'm Stacy. I spent almost 30 years in organizational development, helping companies figure out why they kept losing track of what actually mattered. Then I became my own case study: I ended up running a software company, a care home, and until recently a cafe, at the same time and I was constantly missing things that mattered because everything competed for my attention equally. FounderFlow is the tool I built for myself first. It watches what's happening across your businesses, tells you what actually needs your attention right now and why, and is honest when it isn't sure instead of faking confidence. I tested it for months on Bird's Nest Cafe, a real non-tech small business, before anyone else touched it. If you're juggling more than one business right now what's the thing that's currently slipping through the cracks? I'd genuinely love to hear it.
Looking at FounderFlow, I'm fascinated by your classification architecture (Verified, Highly Likely, Needs Review, Monitor Only), especially since you're aggregating data across 3 different companies.I’d love to understand the mechanics behind this analysis: How exactly did you refine your AI prompts and knowledge base to cross-reference these multi-company inputs and calculate those accuracy scores? Are you using deterministic validation layers before passing the data to the LLM, or is the model itself handling the confidence grading based on contextual patterns?
@apex7ai Levy, appreciate the specific question. I will not go too deep into the exact implementation since parts of it are still being tuned, but the short version is that the model does not get to invent its own confidence score by itself. Anything it flags gets checked against harder signals first, things that either hold up or do not, before it earns a Verified label. When those harder signals are not available, it drops to Needs Review or Monitor Only instead of guessing high. I would rather show honest uncertainty than fake confidence. I wrote more about where this broke during testing, over on Indie Hackers, if you want the longer version.
The confidence grading is a nice touch, especially when juggling multiple ventures and trying to figure out what's actually worth a second look. It pulled up a cash flow flag I hadn't caught yet, which honestly saved me some headaches this week.
@savas_teki53713 Thank you Savaş! That's genuinely great to hear — catching a cash flow flag before it becomes a fire is exactly what I built this for myself. Was that something you'd have caught eventually on your own, or one that would've stayed buried in the noise? Trying to gauge how much real lead time the confidence grading actually buys people.
@savas_teki53713 Coming back to this after a few weeks. If that cash flow flag kept mattering, I am curious whether it changed how much you trusted the confidence grading versus checking things yourself the first time, or if it was a one time save. No pressure if this thread has gone quiet for you, just curious how it held up over time.
Small update: I posted the story behind the confidence grading over on Indie Hackers today (the week it benchmarked worse than my own manual triage, and why I shipped the honesty instead of hiding it). If anyone here has run into that same "almost reliable is more dangerous than unreliable" tradeoff in their own product, I'd love to compare notes.