Case Study — Subscription Platforms / Live Product

Automating the parts of a subscription product that can't be done by hand every day

FingertipForm is a live subscription product built around three automated systems: daily tip ingestion, result settlement, and integrated billing across two payment providers.

The problem

Running a subscription tipping product day to day means publishing each day's selections reliably, marking every one of them win, place or loss once results are known, and gating access by paid tier — without a person doing any of that by hand, every single day, forever.

What was built

FingertipForm runs an ingestion pipeline that publishes each day's tips insert-only: re-running the same day's import, or importing a corrected re-export of it, can never silently rewrite a selection, price or comment that's already been published. A separate settlement process is the only thing allowed to touch a published tip afterward — and only its result and profit fields, nothing else. On top of that, a billing layer integrating both Stripe and PayPal automatically gates content by subscription tier.

Daily tipsfeed external data source Insert-onlyingestion re-imports can't overwrite Settlementpass only path allowed to touch a tip Stripe /PayPal gate tier-based access

Why this is the hard part

The genuinely hard requirement here isn't the plumbing — it's the guarantee. Once a tip is published, it has to stay exactly as published, forever, no matter how many times the source feed gets re-ingested. Settlement is deliberately the only path onto an already-published record, and it can only change two fields. That kind of correctness has to be designed into a pipeline from day one; it's not something you can safely bolt on after the fact once real subscribers are trusting what they see.

Where this pattern generalizes: the same publish-once, audit-safe discipline applies anywhere a business needs certainty that an automated process only changes data where and how it's meant to — invoicing, compliance records, anything a customer or regulator might later check against. See also the live data pipeline this pattern grew out of.

Got something like this running by hand?

The constraint that makes this automation-grade rather than just a CRUD app: once something is published, nothing is allowed to quietly change what a paying subscriber already saw.

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