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Why I track every AI quota reset announcement (and why the site has no admin panel)

A developer built Alca, a read-only, anonymous site that compares AI model access, pricing, free quotas and rate limits across providers, with a dated reset log linking each announced quota or limit change back to its original source post. All content lives as typed TypeScript files in a repo — models.ts, offers.ts and codexResets.ts — where edits arrive as pull requests and CI enforces referential integrity before deploy, with no admin panel, CMS or public database. The reset feed regenerates roughly hourly from a public API, and feedback submissions are pulled from a queue by an outbound-only agent using at-least-once delivery.

read2 min views1 publishedSep 19, 2026

This month my Codex plan hit 0% for the third time, and each time I found out the reset schedule had quietly moved. I was the kind of person who kept screenshots of the docs in a notes app, but the docs never said when an announced reset actually landed, or which tier was on which clock. So I stopped taking notes and started building a log instead.

That log became Alca: a read-only, anonymous, no-signup site comparing AI model access, pricing, free quotas and rate limits across providers. The part I use most is the reset log: a dated list of every announced reset and limit change, each entry linked back to the original post.

All the content is typed TypeScript files in a repo: models.ts, offers.ts, codexResets.ts. A "content editor" is just a pull request. I edit a file, CI checks referential integrity (an offer can't reference a model slug that doesn't exist, every URL must be http/https, slugs are unique), and the change deploys. No admin panel, no database for public data, no CMS.

I chose that on purpose. When a row says some provider's free tier gets you X requests a day, I want to be able to point at exactly where that came from. Every row carries a verification_status: verified means I checked a source link, and I paste it in. unverified means "this is a placeholder, replace me." Showing the honesty level of the data beats hiding it behind a clean table.

The reset feed regenerates about hourly from a public API: fetch, validate, typecheck and test, commit only when the data actually changed, push, and the deploy happens. The upstream blocks datacenter IPs, so it runs on a consumer machine, with a manual workflow as the backup. "Watch" entries — forecasts, not confirmed events — are clearly marked unconfirmed.

The site has a feedback form, but I didn't want it pointing at a personal email address. Submissions pass size and rate checks, then sit in a queue that an outbound-only agent I run pulls from: it heartbeats, leases up to 20 items, saves them durably, and acks idempotently. Expired leases get redelivered. In practice: at-least-once delivery, no browser-visible tracking of visitors.

Is "linked back to the original post" actually useful to anyone besides me? Do you cross-check a claim against its source, or just trust the table? I keep the links because a stale limit number cost me a week of guessing once. A dated, cited reset log turns a schedule change from a rumor into an event.

The site is at https://alca-navy.vercel.app/en/models. There's a feedback form, and a public JSON API under /api/v1 if you want the data instead of the pages.

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