I stopped reading my GitHub notifications. So I build a fix
I work across multiple projects and got to a point where I completely stopped reading GitHub notification emails. Too many, all looking the same, and the important stuff was getting buried.
I'd miss failing builds for days. Not because I didn't care but because the signal was gone. Every notification looked identical whether it was a critical CI failure on main or just another merged PR.
So I built Dailix nights and weekends around a full time job. One email every morning that groups CI failures by root cause, flags flaky tests, surfaces PRs waiting on your review, and uses AI to give you a ranked focus list with actual reasoning behind each item.
No dashboard. No config. Just the email.
Just shipped it publicly for the first time and looking for developers who feel the same pain to try it and tell me honestly if it's useful.
GitHub notifications have a way of turning from a helpful feed into a stressful "to-do" list that you eventually just learn to ignore to stay productive.
The real breakdown happens when developers start treating notification pings as background noise, which is exactly when critical deployment errors slip through the cracks. Moving away from a "real-time firehose" to a structured, prioritized morning digest is smart because it aligns with a developer's natural workflow—handling the "maintenance" tasks in one batch before diving into deep work.
Since the AI is ranking the list based on reasoning, does it take into account things like which PRs are blocking other team members' work, or is it strictly focused on technical urgency like CI failures?
right now the prioritisation is based on technical signals, things like how long a build has been failing, whether it's on main, how many failures on the same repo. It doesn't yet know which PRs are blocking other people's work.
That's actually a really good gap to point out though. Review request age is tracked so if someone requested your review 9 hours ago it surfaces that, but it doesn't reason about downstream impact like "this PR is blocking 3 other branches." That would need a bit more GitHub context than what webhooks give you out of the box.
Something worth thinking about for teams. Are you working solo or with a small team?
Managing a high volume of outreach across multiple devices has taught me that the biggest risk is always the "unseen bottleneck"—where one small oversight blocks the entire system's progress.
Knowing that a review request is 9 hours old is a great start, but bridging that gap toward understanding "downstream impact" is what would elevate this from a notification filter to a true project management ally.
I focus on this type of operational clarity in my work with high-tier PR and media placement, where we have to prioritize communication based on which "story" is currently blocking a brand's authority on major news outlets.
To answer your question, I manage my own agency operations with a focus on high-ticket client engagement, so a tool that can flag exactly which task is holding up a "deal" or a "deployment" would be a massive efficiency booster.
Have you considered adding a "severity flag" for repositories that are currently in a production-ready state versus those still in early development?