Rehan Aslam

I build a product mostly on my own, with agents doing a growing share of the mechanical work. This year my output went up and my days got worse, and it took me a while to see why.

Automation ate the typing. It did not touch the checking, and it multiplied the number of things waiting to be checked.

Then I found telemetry that matches: Faros AI looked at two years of workflow data from 22,000 developers across 4,000+ teams. Task throughput per developer up 33.7%. Median time a pull request sits in review up 441.5%. Daily PR contexts per developer up 67.4%.

Your AI is already smart enough. Give it somewhere to work.

Asking AI a question was never the hard part. The hard part is what happens after the answer. However good the draft is, the one pasting the table into the doc, saving the file where it belongs, and sending the email to the client that's still you. Your work is scattered across a dozen tools: some of it in your inbox, some in Notion, some in a folder on your laptop. Your AI lives in exactly one place, a chat box. Wherever it can't reach is wherever it can't help.

So the problem was never intelligence. It's that your AI has nowhere to work. That's the gap Happycapy Connectors close: a connector is a grant that lets Happycapy work inside a tool you already use the big apps, your inbox, even your own computer. You don't switch tools, migrate data, or learn anything new. Capy comes to your work, not the other way around. We've been saying AI should adapt to you since day one; this is what that looks like as a product.

Does every SaaS product need a mobile version?

For some products, mobile feels essential.
For others, it feels like forcing a desktop workflow onto a smaller screen.

We re building a mobile version for RunEvr - mainly to stay up to date, chat with the team, check project progress, and quickly respond when you re away from your desk.

A few things I m curious about: