Work

Quiet automation, loud results.

Selected projects where automation paid for itself — fewer meetings, faster handovers, and time back to think.

6,700

storefronts on a daily, event-aware posting loop

Radical Storage · B2C travel · 6,700 storefronts · 2026

An autoposting agent that turned 6,700 storefronts into a live local-events calendar

Radical Storage's network of luggage-storage points lacked the team to post daily to each city's Google and Facebook pages. We built an agent to find nearby events and draft posts in each city's voice. It publishes them to Google and Facebook daily.

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Bracap

27%

Most clients flagged unprofitable once we tallied real hours.

Bracap · B2B travel · internal tooling · 2026

An internal tool that found 27% of clients were quietly losing money

Bracap was closing deals without knowing which ones paid. We built an internal tool that captures every hour worked and tells leadership, in real time, which clients are quietly draining margin.

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Radical Storage

14,552

listings under continuous health monitoring, up from ~400

Radical Storage · B2C travel · 14,552 listings · 2026

The listings sweep that found 3,271 storefronts invisible on Google

Radical Storage could only see health data for about 3% of its listings. We built a sweep that checks all 14,552 of them — and ranks what to fix by the revenue sitting behind each one.

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Foresee

5 views

views over one shared demand signal — overview, events, forecast, anomalies, map

Foresee · Travel demand · internal product · 2026

A demand dashboard that tells a travel network where the crowds go next

Event data is only useful if someone can act on it. Foresee turns a warehouse of upcoming events into a map, a forecast and an API — so operations, marketing and the other internal tools all read the same signal.

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Bracap

7 languages

languages published from a single English draft

Bracap · B2B travel · content operations · 2026

A content engine that writes in seven languages and still asks permission

Bracap needed a multilingual blog and had nobody to write it. We built an engine that picks a topic from real demand data, researches it, drafts it — and waits for a human to press publish before translating it into six more languages.

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