The Next Generation of Travel Starts With Stablecoins and Better Payments. Coming Soon to Google Play & the App Store.
Your next trip might not start at the airport. It might start with a stablecoin.
Every year, millions of travelers lose money to foreign exchange markups, international transaction fees, and unnecessary payment friction. Booking flights, reserving hotels, managing multiple currencies, and tracking travel expenses is still more complicated than it should be.
As someone building in the Indian startup ecosystem (Hyderabad), I kept missing key founder signals. One founder raises in Mumbai, another visits my city, someone starts hiring talent or drops a podcast and I only find out days later.
That frustration led me to ship FounderScope in just a few days using Lovable + Supabase.
It aggregates founder activity across the internet social posts, podcasts, launches, events, hiring signals, and even city-visit alerts into one clean, actionable dashboard.
Baby is due literally any day. In the weeks leading up to paternity leave I've been building Sprout a one-stop-shop for new parents in the UK.
The problem I was trying to solve: Every app for new parents does one thing. Peanut does friend-matching (women only). Happity does classes. Childcare.co.uk does nurseries. Nothing combines the stuff you actually need day-to-day into one place and nothing includes dads properly.
What Sprout does:
Find other parents nearby with babies the same age
AI assistant you can ask anything at 3am (including sending photos)
I've been building Kenstify, an AI tool that writes client performance reports and gives marketing strategy advice, for the past few months. Relaunched it today.
I built it because agency owners kept telling me reports take forever, hours of copy-pasting numbers and formatting slides every month. So Kenstify skips all of that, paste your numbers, get a full report in 60 seconds, no account connections needed.
But the more I talk to people, the more I wonder if reporting is even the real bottleneck, or if it's something earlier, deciding what to post, where to put budget, whether a campaign is actually working. That's part of why I added Strategy Chat, an AI marketing advisor for exactly those decisions, also built for small content creators who can't afford to hire a digital marketer, or just don't know how to approach social media strategically.
Something I keep seeing across every AI coding community: an agent gets told not to touch something, then touches it anyway. it just never had a wall there, only a request in its instructions it decided didn't apply this time. Prod env vars gone, a repo gone, a folder that took years to build, empty. The model agreed not to do it and did it, because agreeing and being unable to are different things, and only one of them survives a bad turn. I don't think the fix is a smarter model. I think it's a layer underneath the model that doesn't ask it nicely. That's what Verlox is https://www.verlox.app. A CLI and agentic AI terminal where every plan gets written out before it runs: the command, the reason , a risk level. Nothing executes until you approve it. Anything it deletes gets captured first, so it's one click to restore instead of a race against a redeploy timer. Permissions live in the terminal, not in a prompt the model can talk itself out of. Still Windows only, still solo. If you've had one of these moments, I'd genuinely like to hear it.
I m especially excited about my latest project, BizRadar.
BizRadar helps businesses find local leads and partnership opportunities. You enter a business name and city, or a street address, and it finds businesses in the surrounding area.
