Overview
How It Works
SignalAI turns product feedback into a prioritized product backlog. The Product Hunt demo uses seeded data so the full story works without asking visitors to authenticate an external tool.
The Pipeline
01
Signals
02
Sentiment
03
Patterns
04
Epics
Signals
A signal is one piece of feedback. In the public demo, signals come from seeded Slack messages and GitHub issues so the experience is reliable without OAuth.
Sentiment
Signals carry sentiment, severity, emotional tone, source metadata, and timestamps. These fields power ranking, filtering, dashboard summaries, and trend charts.
Patterns
Patterns cluster related signals into product themes. Each pattern shows severity, affected users, related signals, sentiment distribution, and recent signal volume.
Epics
Generated epics convert a pattern into buildable product work with acceptance criteria, user stories, priority, effort, and linked source feedback.
Key Concepts
SignalA single feedback item with title, body, source, author, sentiment, severity, and timestamps.
ChannelThe source a signal came from. The demo uses read-only Slack and GitHub channels.
PatternA recurring product theme made from multiple related signals.
EpicA structured product spec generated from a pattern, including acceptance criteria and user stories.
ImpactA prioritization signal based on volume, severity, recency, sentiment, and users affected.
Recommended Demo Story
- -Dashboard: show current health and trend summaries.
- -Feed: filter and rank raw signals.
- -Patterns: explain how related feedback becomes a theme.
- -Epics: show the final product artifact.
Ready to try it?
Use the launch guide to move through the demo in the intended order.