The problem
The network is slow. Your interface should not be.
Most UI waits for an API and hopes responses arrive in order. Rapid clicks, latency and lost connections turn that simple pattern into visible lag and hidden bugs.
A causal mutation runtime for frontend applications
Causync makes the interface respond now, then follows the evidence until the application knows what is true.
The problem
Most UI waits for an API and hopes responses arrive in order. Rapid clicks, latency and lost connections turn that simple pattern into visible lag and hidden bugs.
The solution
Your app describes one typed mutation contract. Causync owns ordering, repeated input, reconciliation and the path from local intent to confirmed evidence.
The effect
Safe changes appear at once while the truth stays honest. The same model can power one product today and future TypeScript applications tomorrow.
Try it
Run the same interaction through ordinary promise state and the real Causync journal. Then introduce rapid intent, projection lag and a response lost after commit.
Complete → reopen → complete while one request is rejected.
Mock transport · no data leaves this page
Without Causync
Each click owns a snapshot and requests race independently.
Task state
Open
With Causync
Visible intents apply immediately; transport stays ordered and rejection removes only B.
Task state
Open
0 intents · 0 confirmed
Deterministic fault lab · mocked authority · nothing is persisted
Built for what comes next
Typed intents, causal ordering, runtime schemas, recovery, framework adapters and conformance tests give generated features one enforceable foundation.
A transport-neutral protocol specification, agent setup, deeper static analysis and certified adapters for existing REST, GraphQL, CQRS and transactional systems.
Make reliable, immediate interaction reusable enough that a slow-feeling application becomes the exception, whether its code is written by a person or an agent.