DealDash

Another vibe-coding project. Working title: DealDash. So – my family has a bunch of mobile sim contracts and broadband. And it’s time to try and renegotiate our sim deals. But when I was in contact with my mobile provider, they asked who my broadband was with. And that opened a can of worms. Our mobile provider said that if I moved my broadband to them, we could have significant savings on our sims, and they’d match our broadband deal. All told, month to month for a few months it would be almost a 50% saving. But then come April, all of the contracts will get hit with the annual price rises. But then is it such a good deal?

Usually for this kind of thing, I’d get out Excel and create a spreadsheet to figure this out.
But then a lightbulb went on in my head. Maybe this is a project worth investing some time on?

So again, I developed a PRD and set to work. 

The idea is that you feed in the individual details of your current contract situation – current monthly cost, any early termination fees, additional service you might use and so on. You do this for every contract you have – and this is your current scenario. Then you feed in an alternative scenario – the specifics of a potential new contract, any subsidies to offset early termination fees, one off costs such as hardwear and delivery costs (in the case of broadband) and so on.

Using this information, DealDash then calculates whether there are any savings to be had, and provides some pretty graphs to help visualise any potential benefits in going with a new provider.

This time, I’ve been utilising Google’s Antigravity, one of the newest AI kids on the block – an agentic development platform only just launched in November 2025. So far, so good!

This project is in fairly early stages, but feels like it may have some real promise!

Owen Johnson : Portfolio