About Spacing

Spacing is a social-timing intelligence platform. We help brands understand when their audience is actually receptive — and when the room is closed — so every post lands in a window where attention is earned, not forced.

What we do

Most social tools optimise for volume, reach, or virality. We optimise for a different variable: receptivity. Using a continuously updated model of cultural mood, economic signals, platform-level conversation, and cohort-specific context, Spacing tells brands whether the audience they care about is open, guarded, reactive, or saturated — and what to do about it.

The output is a single, interpretable score per cohort called the Aperture, alongside the underlying dimensions that drive it. Teams use it to decide what to post, when to post, and when to stay quiet.

How it works

• Signals — we continuously ingest culture, macro, and platform-specific data: Pew public-opinion waves, FRED macroeconomic series, Polymarket probabilities, GDELT event data, Google Trends, and real-time competitor activity across Reddit, YouTube, TikTok, Instagram, and Facebook.
• Cohorts — we score audiences across eight dimensions that capture how open a cohort is to brand messaging at any given moment: mood, momentum, spending confidence, financial security, institutional trust, content receptivity, brand openness, and forward outlook.
• Campaigns — we turn the intelligence into action. Teams plan, schedule, and activate campaigns across channels, then watch real performance flow back into the model for the next decision.

Who we serve

Brand, communications, and growth teams who treat social as a signal, not a megaphone. If the question "should we post about this today?" matters to your team, Spacing is built for you.

How we build

Spacing is built on Google Cloud (Vertex AI, BigQuery, Firestore, Cloud Run) with a Next.js application layer. Our modelling stack is grounded in self-supervised representation learning — the same family of architectures behind modern world models — applied to the distinct problem of predicting cultural receptivity.

Contact

Spacing · steve@spacingiq.com