Use cases

Temporary state is a product strategy, not just a shortcut.

TmpState works best when the cost of provisioning a permanent backend is higher than the risk of letting early data expire. That makes it useful for prototypes, hackathons, demos, agent workflows, QA repros, and startup experiments.

Build from a recipe

Rapid developers

You need a real backend before the design settles. TmpState gives you reads, writes, pagination, and admin inspection without creating a cloud project.

Serial entrepreneurs

You are testing a dozen wedges, not committing to a database architecture. Keep each experiment isolated, cheap, and easy to abandon.

Hackathon teams

You have hours, not sprint cycles. One teammate can create state, another can build UI, and the demo can show live data immediately.

Coding agents

Agents can discover the API, create state, follow the skill playbooks, and verify real read/write paths without asking a human for credentials.

Where TmpState fits

These are not templates for ranking pages. They are decision patterns: when TmpState is a good fit, how to wire it, and why temporary storage is a feature instead of a liability.

MVP waitlist or lead capture

Good fit when: You are validating demand and need a form that stores real submissions today.
Implementation pattern: Keep the TmpState URL in a server-only env var. Expose /api/leads from your app, validate the form body, then POST to $DB/leads.
Why temporary helps: The data is valuable enough to inspect, but not yet valuable enough to design a full CRM pipeline.

Experiment flags and prototype settings

Good fit when: A prototype needs editable settings, feature toggles, or prompt variants while the team explores product shape.
Implementation pattern: Store one document per experiment. Let internal tooling PATCH the setting, while the product route reads a small normalized object.
Why temporary helps: It gives product iteration a real persistence layer without coupling early decisions to a long-term config system.

Hackathon leaderboard

Good fit when: Teams, scores, votes, and judges need to update during the event.
Implementation pattern: Use collections like teams, submissions, votes, and judging_sessions. Keep writes small and cache public reads in the app.
Why temporary helps: TmpState is a good event database because it naturally expires after the moment the event matters most.

Agent scratchpad with audit trail

Good fit when: An AI agent needs shared state across steps: decisions, artifacts, tasks, and verification results.
Implementation pattern: Create collections by workflow concern: tasks, decisions, artifacts, checks. Append records instead of rewriting large documents.
Why temporary helps: The URL-as-capability model is easy for an agent to persist server-side, and the admin page makes the run inspectable.

Demo data behind a sales prototype

Good fit when: A clickable prototype needs to feel alive for a pitch, pilot, or customer discovery call.
Implementation pattern: Seed a few realistic records, let the UI mutate them through app-specific API routes, and export the database after the meeting if the feedback matters.
Why temporary helps: You get the credibility of live state without making the demo depend on a production database roadmap.

Bug repro bins for QA

Good fit when: A bug report needs a small payload, reproduction state, logs, and screenshots links that can be shared privately.
Implementation pattern: Create one database per repro. Store browser info, steps, expected result, actual result, and log fragments in separate collections.
Why temporary helps: The bearer URL behaves like a private share link, and stale repro data disappears unless the team deliberately keeps it.

Workshop and classroom state

Good fit when: Students or participants need a backend for one session, but you do not want account setup to consume the lesson.
Implementation pattern: Generate one database per participant or team. Put the URL in their server-side starter config and point them to /docs.
Why temporary helps: The lesson can focus on product behavior, HTTP, and data modeling instead of dashboard provisioning.

Tiny internal tools

Good fit when: A checklist, review queue, content calendar, or triage board needs persistence before it needs an owner.
Implementation pattern: Build a narrow app API around one or two collections. Use __meta to monitor quota and extend only if the tool proves useful.
Why temporary helps: It lets internal tools earn a permanent database instead of requiring one before anyone knows the tool will survive.

The lifecycle decision

A free database lasts 24 hours. Expired data freezes for 72 hours before deletion, so a team can still recover it if the prototype suddenly matters. Keep it alive from $1 when there is a demo, user-entered data, or work the team will continue.

Choose deliberately

Let it expire for throwaway exploration.
Extend one database when a demo or feedback loop continues.
Use Pro when TmpState becomes your active storage provider.
Migrate when you need permanent database operations.

Where TmpState is the wrong tool

Regulated or highly sensitive data such as card numbers, health records, or government identifiers.

High-traffic production systems that need contractual uptime, backups, roles, and database-level access controls.

Public browser apps that would expose the raw database URL to every visitor.

Anything where silent expiry would be unacceptable and no one will monitor __meta or move to Pro.