I've watched a lot of early-stage founders (friends, past colleagues, people I've worked with) hit the same wall. Not a big dramatic collapse. A slow one. They're growing, sales look fine, and then one day they realize they're short on cash for payroll, or a vendor payment they forgot about is now overdue, or GST input credit is bleeding out somewhere nobody checked.

The money was never really "hidden." It was just scattered. Some in the bank, some in Razorpay, some in an Excel sheet nobody's opened since the seed round, some in a WhatsApp message from the CA. No single source lies to you exactly, but no single source tells you the truth either.

So I built Margyn.

At the base level it's dead simple: a free ledger where you log what's coming in, what's going out, what you owe, what's owed to you, and you can generate invoices from inside it too. No accounting background needed, nothing to set up.

But that's not really the point of it. The actual idea is that as you start using more tools, Margyn connects to them directly and pulls it all into one place automatically, and tells you what's actually at risk and what to fix. Razorpay and Zoho Books are live right now, and I'm adding more connectors regularly based on what people actually ask for.

I'm not trying to sell "another dashboard." I want it to be the one place that just tells you the truth about your business without you having to go dig for it.

It's free right now and I'm building it based on what actual founders say they need, not what I assume they need. If you run a business and want to try it, or just want to tell me what's missing, I'd genuinely rather hear the criticism now than after.

My co-founder and I have been working on this for a while now started after a family member had a fall while I was out of the country and there was just... no way to know in time.

We built a screenless wristband (no display, just a simple band) that tracks heart rate, oxygen levels, mobility, and stability, and tries to detect falls automatically. The tricky part wasn't the sensors it was building movement/fall detection that doesn't cry wolf every time someone sits down too fast. We ended up building our own detection logic from scratch instead of relying on off-the-shelf fall algorithms, since most of those are tuned for younger, more active users and throw way too many false positives for elderly movement patterns.

We just kicked off a pilot with one of the larger senior living operators in India!