ShareCaster Studio replaces raw media ingestion with dynamic social trend harvesting. Powered by a high-throughput Rust engine, 2-tier signal deduplication, and self-correcting generator-validator agent loops.
Social feeds are full of noise. We discard 95%+ of low-signal traffic using fast Rust heuristics before routing high-velocity topics to lightweight classification nodes.
Fast regex matching, duplicate hashing via SQLx PostgreSQL state, and engagement velocity calculation.
Low-latency classification passes to ensure story depth, trend authenticity, and visual adaptability.
Static prompt engineering is fragile. ShareCaster uses an asynchronous dual-agent loop: a Generator node drafts the story layout, while a secondary Validator inspects AST dynamic constraints, automatically prompting delta retries until verified.
Raw vetted trend AST received from Tokio background worker queues.
Synthesizes visual storyboard frames, voiceover timing, and video hook variations.
Dynamic verification against strict JSON schemas, pacing rules, and layout logic.
Feedback Delta LoopVerified payload sent to AWS Lightsail/S3 rendering workers for final media assembly.
Experience real-time Tokio thread dispatching, multi-agent validation loops, and background cron pipeline updates streamed live to the client UI.
Zero-bloat dependencies, native Rust speed, and serverless edge distribution on AWS.
Asynchronous Tokio task management ensuring near-zero HTTP latency, safe multi-threading, and rock-solid database access via SQLx PostgreSQL connection pooling.
Route 53 DNS routing, restricted IAM role boundaries, automated S3 storage buckets, and high-speed Lightsail CDN distribution edge delivery.
Clean single-page creator workspace driven by real-time SSE event hooks, multiple-choice onboarding flows, and instant video previews.