Truth Signal
Migrated a complex multi-layered AI credibility pipeline from server-based flows to a fully serverless architecture — same quality, lower latency, zero server maintenance.
A no-functionality-loss serverless re-architecture engagement.
What was broken
Truth Signal performs three layers of content analysis — factual verification, Bayesian probability scoring, and presentation/bias detection — plus author credibility tracking over time. The original pipeline ran on N8N workflows requiring an external server: added cost, operational complexity, and a single point of failure.
What we built
A full re-architecture into Supabase Edge Functions powered by OpenAI models with pg_cron scheduled jobs. Every analysis pathway preserved. No external server. Lower latency. Zero maintenance overhead. The system now runs autonomously, end-to-end.
What shipped
Same analysis quality at lower operational cost. Eliminated the single point of failure. Significantly reduced infrastructure overhead — and proved a repeatable service offering: migrate complex existing systems to serverless without functionality loss.
Reflects designed capacity from the build; live numbers verified per engagement.
Overdrive
Reliable, observable, queue-driven AI analytics at scale.
Let's build something that ships.
You'll talk to a founder, not a sales rep. Tell us what you're building and we'll tell you how we'd ship it.