Sunny Su

Sunny Su

Joined Oct 2026

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Products by Sunny

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Reset Beer

Reset Beer

Ai-workflow-automation

Keeping track of quota resets across multiple AI services represents a genuine friction point for developers juggling subscriptions to OpenAI, Anthropic, Google, and countless other platforms. Reset Beer addresses this squarely by aggregating quota reset announcements, status signals, and pricing changes for over fifteen AI products in a single dashboard. The product solves a straightforward problem: developers waste paid credits when they lose track of when daily, weekly, or rolling quotas refresh across different services. Each platform handles resets differently, ranging from midnight Pacific time resets for Gemini to hourly rolling windows for Claude to billing cycle alignments for other services. Rather than monitoring separate documentation pages and dashboards, users get centralized tracking with historical reset data and calculated average intervals between resets. What distinguishes Reset Beer is its dual-layer approach. The core offering tracks official reset announcements and displays recent signals across supported products alongside calculated patterns like last reset date and average reset interval. On top of that sits a price watch feature that flags pricing changes across the same product set, letting users catch pricing increases before they take effect. The free tier delivers daily email digests covering all tracked products. The Pro option at a one-time $9.99 price unlocks near-realtime alerts, access to the MCP protocol for integration into other workflows, and a Chrome extension that surfaces reset signals directly in the browser. A Telegram alert feature is listed as coming soon, suggesting roadmap expansion toward other notification channels. The product's value proposition narrows itself to a specific audience: developers and teams actively managing API quotas across multiple vendors rather than relying on a single service. Someone using only Claude or only OpenAI gets minimal benefit. But for teams splitting workloads or experimenting across models, avoiding quota exhaustion mid-project has real economic impact. The one-time Pro pricing model makes sense given the use case. Developers either solve this problem once and move on, or they establish a persistent monitoring routine. The free daily digest satisfies basic needs, while Pro positions itself as a convenience premium for those who want real-time signals without manual checking. The product appears lean and focused on its single stated problem without feature sprawl. The implementation includes the expected modern touches—a browser extension, API protocol access—without suggesting overengineering for a niche workflow optimization.

AI productivity monitoring
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