Hi everyone,
A few years ago I noticed F5Bot: a free tool that emails you when your keywords show up on Reddit/HN. Great idea, but it was a side project: barely any features, no LinkedIn, no Slack, no team support, no real marketing.
So I tried to rebuild it properly. Added user-friendly filters, LinkedIn, X, and Facebook monitoring, Slack webhooks, API, and role management for teams. That became KWatch.io, and it's working really well.
Later I built MultiFollow.io (monitor social profiles on Linkedin and X instead of keywords) because many KWatch users asked for this feature. It started relatively slowly and I'm still trying to figure out how to push it better (any suggestions are welcome).
The pattern I keep returning to: find a product with proven demand but lazy execution, then build the version a business would actually pay for.
My new one is PageDeltas.com: website change monitoring powered by AI. Tell it a URL, describe in plain English what you care about ("alert me when their pricing changes"), and it watches the page for you. The space is dominated by tools that are either free-but-clunky (changedetection .io) or expensive and gated (Visualping puts Slack and API behind a $100/mo plan, and AI filtering is only supported in their most expensive plans).
What I'm doing differently:
It starts at $29/month for 25 monitored URL.
It's early. I'd genuinely rather get torn apart on positioning and pricing now than after I've spent six months on the wrong thing. If you monitor competitors or regulations today, I'd love to hear how you do it and where the current tools fail you.
I would be very grateful if you could give your 2 cents about this new project. It will be very helpful.
Happy to answer anything about the build and the stack, or how the first two products grew.
Thanks!
The X monitoring product seems very interesting! And I like your strategy of executing the under-executed ideas. Since you look like a successfully entrepreneur, can you share some hacks on how to get the first customers?
One thing I'd be cautious about is assuming early interest and early demand are the same thing.
Products in this space can generate a lot of positive reactions because the capability is obvious.
The expensive mistake is usually not building the wrong thing.
It's drawing the wrong conclusion from the signals you get back.
Feels like there's at least one important decision hidden inside the feedback you'll receive over the next few months.