What Looooooops users actually want
Mimir analyzed 3 public sources — app reviews, Reddit threads, forum posts — and surfaced 5 patterns with 5 actionable recommendations.
Top recommendation
AI-generated, ranked by impact and evidence strength
Expand trigger system to support webhook and email-based triggers alongside cron schedules
Rationale
The current time-based trigger limitation directly constrains the product's addressable market. Users need agents that respond to events, not just schedules. A product manager might want an agent that triggers when a GitHub issue is labeled 'urgent' or when a customer sends an email to a specific address. Without event-driven triggers, entire categories of personal automation remain impossible.
The team is shipping at velocity (14 features in 4 weeks), which means infrastructure exists to iterate quickly. Webhook triggers are table stakes for automation tools and should be prioritized before further UI polish. Email-based triggers expand use cases without requiring users to understand webhook configuration.
If you don't build this, users will continue evaluating the product, recognize it can't handle their workflow, and churn to alternatives like Zapier or Make that support event-driven automation. The gap between capability (code interpreter, file access) and trigger flexibility creates a mismatch between what the product can theoretically do and what users can actually automate.
More recommendations
4 additional recommendations generated from the same analysis
Personal agents are most valuable when they work in the background and surface results when needed. A desktop-only product forces users to remember to check in, which breaks the value proposition of automation. Users setting up morning briefings, deal alerts, or task reminders expect mobile delivery, not to open a browser tab.
The product includes code interpreter, web search, file system access, and screen description tools, but the team is still investing in UI refinements like instructions editor and file browser. This pattern suggests users may not realize what the product can do or how to access these capabilities when relevant. Advanced features become technical debt if users don't know they exist.
Limited access and waitlist-based onboarding cap the user base and prevent measurement of engagement and retention at scale. You cannot optimize for the primary metric (user engagement and retention) when sample size is artificially constrained. Early-stage products need volume to separate signal from noise in user behavior data.
The product is running in development mode, which means performance metrics, error rates, and stability data are likely incomplete or unreliable. For a product targeting retention, you need to know when agents fail, how long operations take, and where users experience friction. Without production telemetry, you're flying blind on the technical health of the system.
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Themes emerge from the noise.
Ranked by severity and frequency, with the original quotes inline so you can judge for yourself.
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What's the top churn signal?
Onboarding confusion appears in 12 of 16 sources. Users describe “not knowing where to start” [Interview #3, NPS]
A prioritized backlog, not a wall of sticky notes.
Ranked by impact and effort, with the reasoning you can actually defend in a roadmap review.
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