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// Real cognitive data · APP-01

We don't ask if CONKA works. We measure it.

Every chart on this page came from real CONKA app users running an FDA-cleared cognitive test on themselves, every day, alongside the days they take CONKA and the days they don't. Where the signal is strong, we say so. Where the data is too thin to draw a conclusion, we say that too.

712

Users tracked

7,593

Cognitive tests

30

Months of data

4

Public reports

// How this is possible · APP-01

CONKA isn't just a supplement. It's a measurement loop.

Most supplement brands point to studies on individual ingredients in other people. We do that too, where it matters. But everything below also comes from inside our own product, on our own users.

01.Step

Take CONKA.

Flow in the morning, Clear in the afternoon, or both. Whatever your day asks for.

02.Step

Test yourself, in the app.

A five-minute cognitive test built into the CONKA app. FDA-cleared, derived from Cambridge research, the same assessment used in NHS Memory Clinics.

03.Step

See your data.

Every test plots against your own personal baseline. CONKA days, non-CONKA days, sober mornings, hangovers, peak hours, and dips. Your curve, against itself.

Cambridge-derived · FDA cleared · NHS validated

93%

Sensitivity detecting cognitive change

ADePT Study, PMC10533908

87.5%

Test-retest reliability

ADePT Study, PMC10533908

14

NHS Trusts in clinical validation

HRA ISRCTN95636074

510(k)

FDA cleared as a medical device

Cognetivity Neurosciences

The CONKA app uses a clinically validated cognitive assessment developed by Cognetivity Neurosciences from Cambridge University research. The test is FDA cleared as a medical device with 93% sensitivity for detecting cognitive change and 87.5% test-retest reliability, validated across NHS Memory Clinics (ADePT Study, PMC10533908; HRA ISRCTN95636074). Test scores reflect individual cognitive test performance and do not constitute health claims about CONKA products. Many factors, including lifestyle changes, practice effects, and natural variation, may contribute to changes in test scores.

// What the data shows

// Ongoing app data · APP-01

// Filter by question

// Time of day · APP-01

Your brain runs on a curve.

Sharpest 9am–3pm · Dips from 6pm · 712 users · 30 months

// Headline finding

Your sharpest hours are 9am to 3pm. By 9pm, scores drop nearly a full point below your daily average.

Evidence: Strong712 users · 7,593 tests · 30 months

Peak to trough: ~1.5 points

Roughly the difference between catching the small typo and missing it.

9pm: -0.82 vs your own average

The same brain that nailed it at 11am is now operating below its own baseline.

// Key finding

Most people peak 9am–3pm. The evening dip is real and measurable.

Without CONKAWith CONKA

// When to take each shot

CONKA Flow

06:00 – 12:00

Morning focus. Take with or after breakfast.

CONKA Clear

12:00 – 18:00

Afternoon reset. Take with or after lunch.

01.MORNING PEAK

+0.47

Most people are at their sharpest between 9am and noon — about half a point above their daily average.

n=1,650 tests · 09-12

02.EVENING DIP

-0.82

By 9pm, scores drop nearly a full point below the daily average — a real, measurable dip.

n=818 tests · 21-24

03.CONKA EFFECT

+1.09

On days CONKA was taken, scores held above the daily average even during the evening dip — 1.09 points above the non-CONKA curve.^^

n=74 CONKA tests · 18-21

Your cognitive performance naturally rises and falls throughout the day. Most people hit their sharpest point between 9am and 3pm, then slide into a noticeable dip by evening — lowest around 9pm.^^

// CONKA observation · APP-01

CONKA users hold their level when others drop.

When we look at tests logged on CONKA days, scores stay above the daily average exactly where the curve normally drops most: late afternoon and evening. Mid-morning — when scores naturally peak anyway — the gap nearly disappears. We can't control for every variable, but the pattern is consistent across all four dip windows.

247 CONKA-tagged tests across the dip windows · directional consistency across all four windows · users may differ in unmeasured ways

// Methodology · APP-01

Per-user deviation from personal mean. Each test compared to that user's daily average across all hours. 7,593 tests across 712 users between November 2023 and May 2026. Timestamps treated as UK local time (timezone not stored).

// Mental fatigue · APP-01

When you feel foggy, the test scores agree.

501 users · 6,282 entries · 18 months

// Headline finding

When you feel foggy, the data agrees. Fatigued days cost about 1.8 points off your personal best.

Evidence: Strong260 users · 1,248 fatigued tests · 18 months

+24ms slower reaction

About 6% slower than your fresh-day baseline. Noticeable on anything that needs a quick decision.

-2.7 pts when 'not feeling best'

Your gut sense of readiness reliably tracks how you actually score.

// Key finding

The more fatigued you are, the bigger the performance drop.

01.AVERAGE COST

-1.8 pts

On average, fatigued days cost users 1.8 points off their personal best — a measurable dip you can feel before the test starts.

n=260 users · 1,248 fatigued tests

02.REACTION

+24ms

Reaction time slows by about 6% when fatigued — not huge, but enough to notice on anything that requires a quick response.

n=123 users

03.SELF-MATCH

-2.7 pts

On days users said they weren't at their best, scores were 2.7 points below their personal peak — the data agreed with them.

n=78 users · 395 tests

The data backs up what you already sense: feeling foggy actually costs you. Fatigued days show a real and consistent dip in both score and reaction time — and the worse the fatigue, the bigger the drop.^^

// CONKA observation · APP-01

Faster reaction times on CONKA days.

When fatigued-day tests are split by whether CONKA was logged, the CONKA days show 41ms faster reaction times on average.^^ At 15 users this is an early signal, not a controlled trial — but the direction is consistent.

n=15 users with both conditions · directional, not statistically conclusive · accuracy delta is mixed at this sample size

// Ingredient evidence · APP-01

App data on CONKA's effect for fatigue is directional. Independent peer-reviewed studies on the relevant ingredients show:

  • Acetyl-L-Carnitine (ALCAR)PMID 18937015

    In one study, participants taking acetyl-L-carnitine showed improvements in psychomotor speed and attention, and reductions in mental fatigue (Malaguarnera et al. 2008).¶

    Randomised controlled clinical trial · 125 subjects · 90 days

  • Rhodiola roseaPMID 19016404

    In one study, participants with fatigue syndrome taking Rhodiola rosea showed an anti-fatigue effect and improvements in mental performance (Olsson et al. 2009).¶

    Phase III randomised, double-blind, placebo-controlled · 60 individuals with fatigue syndrome · 28 days

// Methodology · APP-01

Per-user delta method. Each user compared against their own fresh-day baseline. 260 users meeting the both-conditions threshold. Data from November 2024 to May 2026.

// Stress · APP-01

Stress costs more than most people realise.

12 users · 44 stress-day tests

// Headline finding

Moderate stress costs more than a heavy night's drinking. About 5 points off your calm-day baseline.

Evidence: Moderate12 users · 44 stress-day tests · 891 stress entries

+41ms slower under stress

Roughly 10% slower reaction time, plus about one extra error per session.

53% of all sessions logged under mild stress

Mild stress isn't an edge case. It's the default state most users test in.

// Key finding

Moderate stress costs more than a heavy night's drinking.

01.MODERATE

-5.4 pts

On moderate-stress days, scores drop over 5 points from each person's calm-day baseline — one of the largest effects across the entire dataset.

n=18 users · 58 tests

02.REACTION

+41ms

Reaction time slows by 10% under stress — enough to feel on anything that needs a quick decision.

n=12 users

03.BACKGROUND COST

53%

More than half of all test sessions are taken under mild stress. It's not an occasional event — it's the default state.

n=891 stress entries

Stress is the single largest performance signal in the app data. Mild stress appears in more than half of all sessions — it's the background state, not an edge case. Under moderate stress, scores fall over 5 points and reaction times slow by 10%. The effect under moderate stress is comparable to a heavy night's drinking.

// Ingredient evidence · APP-01

Only 3 users have stressed test days both with and without CONKA. Per-user app data is below the threshold for a CONKA-effect observation. Independent peer-reviewed studies on the stress-targeting ingredients in CONKA show:

  • Ashwagandha (Withania somnifera)PMID 23439798

    In one study, participants with chronic stress taking KSM-66 ashwagandha showed a reduction in perceived stress and serum cortisol levels (Chandrasekhar et al. 2012).¶

    Prospective, randomised, double-blind, placebo-controlled · 64 subjects with chronic stress · 60 days

  • Lemon Balm (Melissa officinalis)PMID 16444660

    In one study, participants taking Lemon Balm showed reduced effects of laboratory-induced stress on anxiety ratings (Kennedy et al. 2006).¶

    Randomised, double-blind, placebo-controlled, crossover · 24 healthy volunteers · Single-dose sessions

  • Rhodiola roseaPMID 19016404

    In one study, participants taking Rhodiola rosea showed a reduced cortisol response to awakening stress and an anti-fatigue effect (Olsson et al. 2009).¶

    Phase III randomised, double-blind, placebo-controlled · 60 individuals · 28 days

// Methodology · APP-01

Per-user delta. Stressed days (moderate stress or higher, normalised score ≤ 0.5) compared to each user's no-stress baseline. 12 users met the both-conditions threshold. Data from December 2025 to May 2026.

// Alcohol · APP-01

What a hangover actually does to your brain.

65 users · 638 entries · 6 months

// Headline finding

Under 6 drinks: no clear signal. Six or more: nearly 5 points off your sober baseline the next morning.

Evidence: Moderate27 users · 113 hangover tests · 638 entries

+29ms slower the morning after

About 7% slower reaction time. The next-day fog is real and measurable.

-16% reported readiness on hangover days

Users feel less prepared, and the test scores agree.

// Key finding

Under 6 drinks: no clear signal. Over 6: nearly 5 points lost.

01.6+ DRINKS

-4.9 pts

The morning after 6 or more drinks, scores drop nearly 5 points from each person's sober baseline — one of the largest single-cause drops in the dataset.

n=11 users · 24 tests

02.REACTION

+29ms

Hangover mornings slow reaction time by about 7% — enough to notice on anything that needs quick thinking.

n=27 users · 113 hangover tests

03.READINESS

-16%

People report feeling 16% less ready on hangover mornings. In this dataset, the test scores agree.

n=8 users

Light drinking (under 6 drinks) doesn't produce a consistent signal in this data. The effect appears clearly at 6 or more drinks: scores drop nearly 5 points, accuracy falls, and reaction time slows by 7%. If you've ever felt the next-day fog was real, this data suggests you were right.^^

// CONKA observation · APP-01

Faster on CONKA hangover days.

When hangover-day tests are split by whether CONKA was logged, the CONKA days show 56ms faster reaction times.^^ At 11 users this is directional — worth noting, not concluding from.

n=11 users with both conditions · directional, not statistically conclusive · sample may have followed lighter drinking nights

// Methodology · APP-01

Per-user delta. Hangover days (1+ drinks the previous night) compared to each user's sober baseline. 27 users met the both-conditions threshold for the core analysis. Data from December 2025 to May 2026.

Start measuring your brain today.

Free to use · No subscription required · Core features included

// Professional Trials · PROOF-01

15+

trials run with professional sports organisations.

Premiership RugbyPro 14 RugbyGB Sevens (Men)GB Sevens (Women)Premier LeagueEFL ChampionshipBundesligaNFLBoxingUCI CyclingUniversity Sport

All club data is held privately under NDA.

Enquire about a trial

// About this data · APP-01

How we look at the numbers.

Every analysis on this page uses a per-user delta method. We compute each user's personal baseline from their own clean-state tests, then compare their impaired-state tests against that baseline. This removes the confound of natural ability differences between users.

Wellness factors (alcohol, fatigue, stress, readiness) are self-reported in the CONKA app on an opt-in basis at the moment of testing. Cognitive scores come from the same test session.

^^ Cognitive test details and validation are documented above in "How this is possible".

¶ Ingredient-level peer-reviewed studies. Findings as published; not extrapolated to product-level effect.

Food supplements are not a substitute for a varied and balanced diet and a healthy lifestyle.