Drying plans that feel grounded
Start with the fruit profile, your dehydrator, and the texture you want. CrispClock gives you a practical duration plan instead of a vague guess.
Fruit Drying Companions
Dry fruit with less guessing and better next-run decisions.
CrispClock helps you plan dehydration batches, stay on top of checkpoints while trays are running, and learn from the final result so your next batch lands closer to ideal.
Built around dehydrators, fruit profiles, and batch checkpointsAnonymous telemetry onlyDesigned for repeatable drying, not one-off guesses
Friday batch57 C
Active dehydration run
Apple slices, soft finish
Planned from fruit profile, tray layout, and previous outcomes.
510 minFinal duration
5 traysDevice setup
6 mmSlice thickness
IdealLast result
Checkpoint plan
01:30
Rotate trays and check edge curl.
04:45
Check center softness before final stretch.
06:00
Finish batch and save result for next time.
What It Helps With
CrispClock turns messy kitchen notes into a reusable drying workflow.
Instead of remembering times on scraps of paper or relying on generic internet advice, you get a tool built around how dehydration batches actually run.
Checkpoint reminders while trays are running
Track active batches with planned inspection points so you remember when to rotate trays, check color, or decide if a run should end early.
History that improves the next batch
Save what happened last time, including duration changes and final results, so future recommendations can be based on your actual outcomes.
How It Works
One dehydration batch at a time, with just enough structure.
1
Choose the setup
Pick the dehydrator, fruit profile, tray layout, temperature, thickness, and target texture for the current run.
2
Run with structure
Use the planned end time and checkpoints as a calm guide while the batch is drying.
3
Capture the outcome
Mark whether the fruit was ideal, too dry, too soft, sticky, too dark, or uneven so the next batch gets smarter.
The product model is simple: devices, fruit profiles, batches, checkpoints, feedback.
CrispClock is not trying to be a generic food tracker. It is specifically structured around dehydration runs and the little decisions that change results from one batch to the next.
What gets remembered
Dehydrator setupDevice, power, tray count, temperature, and fruit profile context.
Batch outcomeWhether the result was ideal, too dry, too soft, sticky, too dark, or uneven.
Next-run adjustmentsTime and thickness changes that help the next dehydration run land closer to the texture you want.
Privacy
Usage insights without personal identity data.
The web and app stack are being built around anonymous telemetry so product insights come from drying behavior and outcomes, not personal profiles.
The app is designed around anonymous usage data. No names, emails, or identity fields are needed for telemetry.
What gets collected is focused on dehydration runs: devices, fruit profiles, timings, checkpoints, and batch feedback.
The goal is to improve future drying suggestions from real batch outcomes, not to build a personal-data-heavy platform.
Mobile links will live here when the app is ready to publish.
These are placeholders for the future store listings. The current focus is getting the product model, landing page, and anonymous telemetry aligned with the dehydration workflow.
PlaceholderGoogle Play link
PlaceholderApp Store link