Your AI CEO reads every dashboard so you don't have to.
You'd think this needs a Sunday afternoon strategy session — Astra has it ready by 9am Monday with the receipts.
Astra answers "what should I focus on this week" by cross-checking your real data — not by asking you. Every Monday morning she pulls Stripe revenue movement vs last week, GA4 traffic anomalies, your calendar density, unfinished tasks from last sprint, and any incident pings — then weighs each signal by impact and surfaces the three things that actually move the needle. The output is a one-screen Lark message: top 3 priorities, why each one matters, what specifically to do first, and what to deprioritize. You stop guessing what's important. You stop opening 6 dashboards Sunday night. You read one summary Monday and start with the right thing. Updates automatically as the week's data shifts.
Stripe revenue delta WoW, GA4 sessions delta, PostHog activation delta, last sprint's incomplete tasks, and any open incidents.
Revenue swings outweigh vanity metrics. Recurring incidents outweigh one-offs. Promised-to-investor items outweigh nice-to-haves.
Drop everything else. If five things look urgent, the first three get a plan, the rest get a parking-lot note for next week.
Lark message with top 3, why each matters, the first concrete action for each, and one sentence on what to defer.
If something material breaks (revenue dips 10%+, incident escalates), Astra re-pings you with an updated top 3.
One Lark message every Monday at 9am with your top 3 priorities, the reasoning, and the first concrete action for each — plus mid-week re-rank pings if a major signal breaks.
Weekly Monday 9am, plus event-driven mid-week re-rank.
We'll spin up your workspace, hand the prompt to Astra, and you see the answer in 60 seconds. Free.
Try this with AstraClear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
Astra learns from your historical decisions (which tasks you actually do vs defer), your stated goals (OKRs, recent investor commitments), and recurring patterns in your data. The first week is calibration; by week 3 her top-3 picks match what you would have chosen 80%+ of the time.
Astra works with whatever signals you have. With just chat history and calendar, she'll surface meeting prep and follow-ups. Each new data source connected sharpens her picks. Most users start with 2 sources and add more as they go.
Yes — say "Astra, this week is all about the launch" and she'll re-rank to put launch-relevant signals first. The override holds until you tell her otherwise or the launch ships.
Reply with what you would have swapped in. She updates her weighting and the next week's pick reflects it. Three corrections is usually enough to dial her in to your judgment.