Padel Coaching Tech — Independent Research

An evidence-graded research portfolio on padel coaching technology in 2026. Eight pages cover the competitor landscape, subscription economics, an MVP design, a first-quarter operating plan, and full disclosure of every AI model used to produce the research. Every numeric claim cites a verifiable source URL fetched at the time of writing.

Read the strategic work

Strategic brief →

Eighteen sections on market sizing, jobs to be done, the competitive landscape, defensibility, go-to-market, risks, and pivot triggers.

Evidence map →

Source trace for the brief — every claim paired with the verbatim source quote and the URL it came from.

Methodology →

How the research was built: agents, models, evidence gates, mobile-first rendering, adversarial review.

Read the supporting analyses

Competitor landscape →

Padel coaching apps, club software, and racket-sport AI. Who has the data moats and where the white space is.

Subscription economics →

Eight pricing anchors verified May 2026. LTV/CAC by channel across four geographic scenarios.

MVP design →

The smallest product loop that earns the right to exist. Three pilot tracks compared, decision tree, risk register.

90-day plan →

Twelve testable hypotheses for the first quarter. A metric tree from the headline number down to weekly leading indicators.

Model provenance →

Every AI model used in the research, by billing class. Paid Anthropic, paid Perplexity, plus a free Alibaba arm as a cross-check.

What this work shows