Designing for inactive users

2025-12-20 · Source: James' Coffee Blog · Field: Technology & Digital — Software Development & Engineering, Cloud Computing & IT Infrastructure · Depth: Intermediate, medium

Summary

Artemis, a calm web reader, implemented a new optimization strategy as of December 20, 2025, to reduce computational load and storage costs by only updating feeds for active users. Previously, Artemis checked web feeds hourly for all registered users, a process optimized with `If-Modified-Since` and `Etag` headers. The new approach stops polling feeds for users inactive for approximately 60 days, defined by not having viewed their feed in the last two months. This decision balances efficiency and cost savings with a commitment to minimal data collection, tracking only the `YYYY-MM` of a user's last feed view. When an inactive user returns, a "Welcome Back!" message informs them that feed retrieval will resume and backfill posts after midnight in their local time zone.

Key takeaway

For product managers designing services with recurring computational costs, consider implementing an inactivity policy that reduces resource consumption for dormant accounts. Your strategy should balance cost savings and system efficiency with user privacy by tracking only the minimum necessary data, such as the last month of activity, rather than precise login dates. Clearly communicate service changes to returning inactive users to manage expectations regarding feed updates.

Key insights

Optimizing for inactive users reduces costs and data collection while maintaining user privacy.

Principles

• Prioritize active user data retrieval.
• Minimize user data collection to essential metrics.
• Balance efficiency with privacy goals.

Method

Track user inactivity by month (`YYYY-MM`) rather than specific dates. Stop polling feeds for users inactive for approximately 60 days. Resume polling and backfill posts upon user return, notifying them of the change.

In practice

• Use `YYYY-MM` for approximate inactivity tracking.
• Implement clear user notifications for service changes.
• Consider feed backfilling limitations for N-latest posts.

Topics

• Inactive User Management
• Resource Optimization
• User Privacy
• Web Feed Retrieval
• Service Sustainability

Best for: Software Engineer, Product Manager, Entrepreneur

Related on AIssential

• Designing for inactive users: Account check-ins and deletion — Proactive account check-ins reduce data retention for inactive users, improving service efficiency.
• Match Group Doesn't Want You to Find Love — Dating apps prioritize user engagement over genuine connection, leveraging psychological design patterns for sustained platform use.
• Understanding Long-Term Dynamics of Individual Metro Usage: A Hidden Semi-Markov State Framework with Survival Analysis — The framework models individual metro usage lifecycles by integrating latent mobility states with exit and re-entry hazards.
• Managing Multiple Ad Accounts Efficiently: Multi-Account Management Guide (2026) — Account isolation is crucial for managing multiple ad accounts to prevent platform detection and cascading restrictions.
• I Found 487 GB Of Data Nobody Had Looked At In Three Years. Deleting It Felt Like Archaeology. — Regular storage audits can identify dormant data, reducing costs and improving database efficiency.
• Resolve the Conflict Between Efficiency and Resilience — Efficiency and resilience can coexist by aligning metrics with customer priorities and strategically managing buffers.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by James' Coffee Blog.