How Signal works
One operating loop. Nine stages. Every stage is deterministic, and the platform integrations — OAuth, publishing, and verified metrics — are wired in behind the same types.
- 1
Configure product profiles
Voice, target audience, CTA policy, forbidden claims, and risk tolerance for each product in the portfolio.
- 2
Set up accounts manually
A guided wizard prepares a setup kit, a 14-day warm-up plan, and a manual checklist. Signal never creates accounts or asks for credentials.
- 3
Add source insights
Founder observations, product lessons, support patterns. Signal turns insights into platform-native opportunities — never AI-generated prompts.
- 4
Generate platform-native opportunities
Reddit, X, and LinkedIn adapters transform each insight into format-appropriate drafts. Google produces discoverability opportunities instead.
- 5
Evaluate discussions
Signal scores discussion threads for community fit, audience match, and noise — and recommends participate, watch, or skip.
- 6
Score risk deterministically
Every draft and comment is scored against a deterministic risk model. Aggressive CTAs, launch language, and fake certainty are blocked at the door.
- 7
Approve once a week
One calm review pass. Approve, soften, delay, remove links, convert to comment, save to backlog. Bulk approve all low-risk items in one click.
- 8
Distribute across the week
The scheduler respects platform cadence and per-account cooldown. Items that exceed safe capacity move to the backlog automatically.
- 9
Watch the discoverability loop
Search-to-social, social-to-search, refresh windows, internal linking, evergreen distribution. Discoverability is its own surface, not a posting feed.
What this is not
- · Not an autonomous publisher — nothing publishes without your approval.
- · Not an auto-commenter.
- · Not an indexing API or auto-indexer.
- · Not a feed of AI-generated posts.
- · Not a vendor of fake analytics — when the data isn't connected, Signal says so.