AI assistants and search decision
PlayReflect
A single developer can build the core personal reflection and analysis workflow and a simple API, but reproducing the vendor's polished mobile/offline UX, multi-team billing, and enterprise privacy/operational guarantees would be significant extra work.
Visit website↗Built by Kevin Middleton | FootballGPT, who ships 7 products in this index
$4.99/mo
$60/yr
Read off the official pricing page.
$100one-off96 h to build
$20/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 6 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- User submits short reflection -> store entry -> run LLM analysis to surface patterns -> present trends & coach-facing engagement stats -> sync via simple API
What it still won’t have
- Polished native iOS/Android apps and offline support
- Sport-specific prompt tuning and content tailored by age groups
- Priority support, on-prem or enterprise admin features and SLAs
- Built-in team billing, multi-team plans, and hosted trials
- Privacy/legal guarantees and audited data-handling claims the vendor provides
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 6 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a modest PlayReflect replacement as a Next.js + React web app, Node.js API server, and Postgres database deployed to Vercel (frontend) and a small managed Postgres (Supabase or Neon). Core features in scope: user auth, short guided reflection form (text + mood/energy + optional audio upload), store reflections in Postgres, an async worker that calls an LLM (OpenAI or Anthropic) to extract tags/sentiment and generate short coach-style feedback, a dashboard showing per-player mood and skill-trend charts and simple engagement stats for a single coach account, and a minimal MCP-compatible JSON API exposing log_reflection, get_patterns, and player_chat plus API key issuance/revocation. Out of scope: native iOS/Android offline apps, multi-team billing tiers, advanced curriculum management, and formal GDPR audit evidence. Include basic error handling, authentication checks, retry/backoff for LLM calls, input validation, and unit/integration tests for API endpoints and the worker.
How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score60
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 2
Every page the run actually retrieved.
- official productPlayReflect homepage
- official docsPlayReflect API Access
Integrity checks
What held up, and what did not.
