// Peer-reviewed fitness intelligence
Science.[1]Not bro-science.
Get the research, not the myth — cited from 0+ peer-reviewed studies.
5 free answers · No card required
[1] Unlike every other fitness AI. See for yourself below.
- 0+
- peer-reviewed papers
- 100%
- of research-backed answers cited
- 0
- influencer opinions
// Live replay
Watch it cite its sources.
This is a replay of real Gainsplain answers — evidence grade first, every claim footnoted to an actual paper.
Mostly a myth. Meta-analytic evidence shows concurrent cardio and strength training produces only minor interference with hypertrophy[1] — and mainly when cardio is high-frequency, long-duration running. Keep it to 2–3 moderate sessions per week (cycling interferes less) and lifting gains are essentially unaffected[2].
Sources
- [1] Wilson, J.M. et al. (2012). “Concurrent training: a meta-analysis examining interference of aerobic and resistance exercises.” J Strength Cond Res. DOI: 10.1519/JSC.0b013e31823a3e2d
- [2] Schumann, M. et al. (2022). “Compatibility of concurrent aerobic and strength training for skeletal muscle size and function.” Sports Medicine. DOI: 10.1007/s40279-021-01587-7
// Why Gainsplain
Better than a hunch.
Ten years of training tells you what worked for you — it can't tell you why, or whether it'll work for anyone else. A chatbot answers from memory. Gainsplain answers from the research.
Where the answer comes from
- Gainsplain:Controlled research across thousands of people
- ChatGPT:Its memory — can invent papers that don't exist
- Experience & influencers:One person, no control group
Citations you can actually check
- Gainsplain:Real DOIs, linked to the study
- ChatGPT:Often fabricated or unverifiable
- Experience & influencers:"Trust me, bro"
Tells you when the evidence is weak
- Gainsplain:Graded strong / mixed / weak on every answer
- ChatGPT:Sounds confident either way
- Experience & influencers:Never admits doubt
Free of survivorship bias & genetic luck
- Gainsplain:Pooled results, not the outliers
- ChatGPT:Inherits whatever it was trained on
- Experience & influencers:Shows you only the people it worked for
Has nothing to sell you
- Gainsplain:No program, no supplement stack, no agenda
- ChatGPT:No fitness agenda
- Experience & influencers:Usually selling a program or a powder
// Methodology
The anatomy of an answer.
Every Gainsplain response is built to be checked. Here's the same answer, dissected.
Q · Does cardio kill gains?
Strong evidenceMostly a myth. Meta-analytic evidence shows concurrent cardio and lifting produces only minor interference with hypertrophy[1] — and mainly with high-frequency, long-duration running. Keep it to 2–3 moderate sessions a week and your gains stay essentially intact[2].
- [1] Wilson, J.M. et al. (2012) · J Strength Cond Res · DOI 10.1519/JSC.0b013e31823a3e2d
- [2] Schumann, M. et al. (2022) · Sports Medicine · DOI 10.1007/s40279-021-01587-7
// retrieval
Retrieved live, per question. Drawn from a corpus of 0+ peer-reviewed papers at the moment you ask — not training-data folklore.
// evidence grade
Graded, not guessed. Strong, mixed, or weak on every answer — and when the science is thin, Gainsplain says so instead of bluffing.
// citation
Citations you can check. Numbered footnotes link to the real study — author, journal, year, DOI. Click through and read it yourself.
// No bluffing
It won't fake confidence.
The fitness internet is full of people who sound certain because certainty gets clicks. Real research is often messier than that.
Gainsplain grades every answer — strong, mixed, or weak.
When the studies genuinely disagree, it tells you the evidence is mixed and explains why — instead of picking a side to sound smart. That's the difference between an answer you can trust and one that's just trying to win the argument.
Q · Do I have to train to failure to grow?
Mixed evidenceThe honest answer: probably not. Training close to failure clearly matters, but studies disagree on whether going all the way to failure adds meaningful muscle — and the trials are small and heterogeneous[1]. Most show similar hypertrophy stopping 1–2 reps short, with less fatigue[2]. Bottom line: the evidence isn't strong enough to claim failure is required.
- [1] Grgic, J. et al. (2022) · Sports Medicine · DOI 10.1007/s40279-021-01620-9
- [2] Refalo, M.C. et al. (2023) · Sports Medicine · DOI 10.1007/s40279-022-01784-y
// Pricing
Peer-reviewed answers, priced for what they’re worth.
Research-backed answers come fully cited and evidence-graded — on every tier — and when no study fits, Gainsplain says so instead of guessing. Dial in the monthly volume that fits how you train.
Ask a quick cited question or commission a full Deep Research program build — both come back fully cited.
2 months free when you pay yearly
Most questions count as one. Deep Research and full program builds use a little more — we always show you before you run one.
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// FAQ
Fair questions.
ChatGPT cites from memory — it can invent papers that don't exist. Gainsplain retrieves real studies from a curated corpus of 0+ peer-reviewed papers at question time and answers only from what it retrieved. Every citation maps to an actual paper with a clickable DOI, and when no relevant research exists, it tells you instead of guessing.
Yes. Citations are rendered directly from stored paper metadata (authors, journal, year, DOI) — the AI never reconstructs them from memory. The corpus is sourced from PubMed and Semantic Scholar, limited to systematic reviews, meta-analyses, RCTs, and well-designed observational studies, and checked against the Retraction Watch database.
No. Gainsplain summarizes peer-reviewed exercise science — it does not diagnose conditions or prescribe treatment. Questions that touch on medical issues get the general fitness-science context plus a clear pointer to consult a qualified healthcare professional.
5 cited answers — yours for life, no credit card required. Every one runs the full research-retrieval pipeline: when the studies are there, the answer comes back fully cited; when none fit, Gainsplain tells you instead of guessing. That's enough to genuinely test whether the evidence holds up before you pay anything.
A normal cited answer counts as one. Deep Research and full program builds do a lot more work behind the scenes — reading across several bodies of literature to assemble the response — so they use a bit more of your monthly allowance. The app always shows you what one will use and asks before it runs, so nothing bigger happens without your say-so.
Yes. Every paid plan offers annual billing for the price of ten months — so you get roughly two months free versus paying monthly. You can switch between monthly and annual, and cancel anytime; there's no long-term lock-in either way.
Honest answer: anti-abuse. Phone verification stops people from farming unlimited free accounts, which keeps the free tier generous for everyone. Your number is verified once, stored only as a hash, and never used for marketing.
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