A series a b2b saas, generated to feel real.
Recurring revenue, deferred-revenue schedules, and a burn rate someone watches weekly.
What this company looks like
A fictional series a b2b saaswith five years of correlated books — customers, vendors, payroll, ledger — that tie out the same way every time. It's not a real company and any resemblance is coincidental; it's a profile you control, generated from a seed.
What's hard to test about it
- Deferred revenue and recognition over the subscription term
- MRR movements — new, expansion, contraction, churn — tying to the GL
- Stripe payouts (net of fees) reconciling to the bank feed
Compatible with the tools it runs on
Fictix exposes this company through endpoints shaped like each of these services, so your existing integration code points at it with no changes. (Fictix is independent and not affiliated with these products — the names describe compatibility only.)
The mistakes you can hide in it
Plant the failures this profile actually suffers from, then measure whether your product catches them:
Questions
Is this based on a real series a b2b saas?
No. It's a fictional company generated from a profile (industry, stage, size); any resemblance to a real business is coincidental. You own the parameters, not someone else's brand.
Does the data reconcile across systems?
Yes — one company is projected into each tool's shape (QuickBooks, Stripe, Mercury, Gusto), so the invoice, the charge and the bank deposit are the same event.
Is it reproducible?
Yes. The company is generated from a seed, so the same profile yields the identical company every time — locally, in CI, and in demos.