AI PRODUCT • FULL-STACK PROTOTYPE

Community chat creates messages. Clamor creates memory.

Clamor turns noisy student group chats into decisions, deadlines, action items, onboarding briefs, alerts, and source-backed answers—with a local analyzer that works without an API key.

Explore the code Read the product strategy
Trustworthy answersRetrieval and source cards keep important claims connected to the original messages.
Cost-aware AILocal rules handle lightweight analysis; an optional provider handles high-value generation.
Operational memoryDigests, tasks, risks, alerts, and onboarding turn conversation into coordinated action.
Clamor community memory dashboard

ORIGIN STORY

From a club challenge to a product question

Clamor began as a rapid-prototyping club competition idea. I wanted to build something fun and move quickly, but I also wanted to explore a real problem in a large, established product category: important context gets lost inside high-volume messaging apps.

Discord and similar tools are excellent for conversation, but weak as long-term organizational memory. Decisions disappear into scrollback, action items lose their owners, and new members have to reconstruct context by asking the same questions again.

The competition idea became an independent product experiment: could an AI layer turn chat history into trustworthy, useful memory without replacing the tools a community already uses? That question shaped Clamor's digests, action extraction, onboarding briefs, alerts, and source-backed answers.

SYSTEM FLOW

From scrollback to shared understanding

MessagesSignal extractionScoped retrievalSource-backed synthesisTeam action