UK seed founders — first 12-18 months — investor reporting, hiring funnel, EMI scheme, R&D credits, runway dashboard.
UK seed founders — first 12-18 months — investor reporting, hiring funnel, EMI scheme, R&D credits, runway dashboard. Pre-PMF, post-paperwork.
Stripe revenue, Linear shipping cadence, Pulley cap-table moves — pulled into a draft update the founder edits in fifteen minutes, not three hours of Sunday night.
Live cash across UK and US bank rails, payroll, recurring vendor cost, hire-trigger threshold model. The runway view the founder needs before the next board call.
Pipeline → offer → onboard, on one founder dashboard. Every candidate, every stage, every offer letter. Day-one onboarding doc auto-issued.
EMI valuations before each grant, share certs and SH01s filed, cap table source-of-truth chosen and maintained. The deadlines you cannot miss, never missed.
R&D credit window tracked, technical evidence captured as the engineering happens, claim package built with counsel — not reconstructed by Excel in March.
The institutional memory of a startup before the institution exists — investor data room, customer playbook, internal SOPs — searchable, version-tracked, owned.
A four-person seed startup was burning Sundays on investor decks, copying Stripe numbers into Notion, manually pasting Pinpoint pipeline into a board doc. Two-week build: Stripe + Linear + Pulley pull into a monthly update draft, Pinpoint wired to a founder pipeline view, EMI valuation calendar, R&D evidence-capture pipeline. Six months in: investor update prep dropped from eight hours to thirty-five minutes, ATS audit-ready before Series-A diligence, runway and hire-trigger live on one screen.
How we measure: Update prep measured wall-clock from data-pull to send across six monthly cycles pre vs post build; founder hours saved tracked across two founders over 12 weeks.
If your work isn't exactly this, the nearest sectors share the rhythm. Or browse every industry we build for.
Bring last month's investor update, the cap table, and the hiring pipeline. We diagnose from the data.