What if we could map the neurodivergent energy cycle?
Clinical research has snapshots from 45-minute appointments. We have continuous, opt-in logs from real people in real days. With enough of us logging, we can answer questions clinical research has never captured at this scale.
This page is the first cut. It will get more interesting the more people contribute.
Aggregates below come from the 21 people actively logging right now. As the community grows, the patterns will sharpen.
A snapshot, not a verdict.
Where everyone is sitting today. Most days are neutral days. Most weeks have at least one drained day. You’re not alone in any of it.
- Charged33%
- Neutral56%
- Drained11%
Each member’s most recent day, bucketed: charged (≥7), neutral (5-6), drained (<5). Nobody’s identity in this number.
- High0%
- Medium0%
- Low100%
Approximation based on current consecutive charged-day streak (8+ → high, 4-7 → medium). The real per-user signal in the app is richer.
There’s a rhythm to the week.
Across the community, certain days run hot, others run quiet. Recognizable shapes emerge once you average across people.
Mons run highest on average (6.25). Suns run lowest (5.92). Last 90 days.
Average distinct logging days per active member, last 28 days. Three is the design target; whatever your number, you’re fine.
On the days members log at all, this is the average count. Three is the design target (morning / afternoon / evening); the real number tells us how the rhythm sits in real lives.
- Afternoon47%
- Morning29%
- Evening24%
For each member, we identify their personal peak time-of-day window from the last 60 days. This shows how the community’s peaks distribute.
How long phases tend to last.
Castellanos and others established that ADHD brains run with high within-person variability. Here’s what that looks like at population scale: typical phase durations across the community.
Average run length when a charged phase appears. Sample: 79 phases over the last 120 days.
Average run length when a neutral phase appears. Sample: 112 phases over the last 120 days.
Average run length when a drained phase appears. Sample: 45 phases over the last 120 days.
Members showing 2+ extreme days (avg ≤ 2 or ≥ 9) in the last 14 days. Same trigger the per-user Regulation signal uses. Boom-bust isn’t a flaw, it’s a pattern that anchors and pacing tend to soften.
The questions we can answer with more data.
- Top activities that lift energy
Which actions correlate with higher next-day energy across the community? Walking, eating, meditation, social time, all of it.
- Worst combinations for crashes
Activity sequences that consistently precede a drop. The patterns nobody warns you about.
- Mood–energy coupling at scale
Surman 2023 argues these are tightly coupled in adult ADHD. We’ll be able to show the population-level correlation with enough data.
- What recovery actually looks like
Distinguishing rested-recovery from sluggish-recovery patterns. Which one your data resembles, and what tends to shift it.
- k-anonymity floor. No community pattern is shown unless at least 10 people are actively contributing. Below that floor, the panels stay blank rather than infer from too few people.
- Aggregates only, never individuals. Every number on this page is an average or a percentage. Nothing here can be traced back to a single person.
- Approximations are labelled. Some panels (burnout pressure, boom-bust) use simpler proxies than the full per-user signals in the app. We say so on each panel rather than pretend they’re identical.
- Opt-out coming. We’re building an explicit opt-out into Settings so you can keep your data fully private without losing access to the rest of NeuroSpicy. Until that ships, contact us if you’d like to be excluded from the aggregates.
- No third parties. We don’t sell or share these aggregates. The patterns go back to the community that built them.
Help build this.
Every check-in adds a data point. Every consistent week sharpens the patterns. Download the app and start adding yours.
