Blog
Notes on the work that starts after you ship: reviews, releases, store listings, vitals, revenue - and how much of it an agent can carry for you.
- Product·5 min readWhat is Nalya? An AI operator for your Google Play app
Nalya watches your reviews, releases, store listing and revenue, drafts the next action, and executes it once you approve - or on her own, once trusted.
- Reviews·7 min readHow to reply to Google Play reviews (and why it changes your rating)
A practical guide to review replies on Google Play: what to say, how fast to respond, replying in the reviewer's language, and the measurable effect on ratings.
- Releases·7 min readStaged rollouts on Google Play: a practical playbook
How to use staged rollouts safely: sensible percentage ladders, which vitals to watch at each step, when to halt, and how to keep watch without living in the dashboard.
- ASO·8 min readASO for indie Android developers: the 20% that matters
App store optimization without an agency: title and short description, screenshots, localization, and how to test listing changes without wrecking your ranking.
- MCP·6 min readManage your Play Store app from Claude Code or Cursor with MCP
The Model Context Protocol lets your coding agent read reviews, check rollout status, draft replies and update the store listing for your Android app - without leaving the editor.
- Compare·6 min readLooking for an AppFollow alternative as an indie dev?
Review-monitoring suites are priced for teams. Here's how indie Android developers can get reviews, release tracking, ASO and revenue ops in one place - with an agent that acts, not just alerts.
- Solo dev·7 min readThe operational long tail: what actually eats your week after you ship
Reviews, rollouts, store listings, crash triage, pricing. A breakdown of the recurring ops work every live app generates, and how solo devs can get that time back.
- Quality·8 min readAndroid vitals explained: crash rate, ANRs, and your Play ranking
Google Play punishes apps that exceed its bad-behavior thresholds. What the vitals actually measure, where the thresholds are, and how to catch regressions during rollout.
- Agents·6 min readSupervised autonomy: how AI agents should earn trust
Full auto on day one is how agents lose users. A model for human-in-the-loop AI: start supervised, measure approvals, and graduate one capability at a time.