Signailist Overview
What it is
Signailist is a Telegram monitoring platform for editorial and research teams. It collects messages from selected channels and chats, scores relevance with AI, detects fast-moving events, and helps teams turn those events into digests or moderated publications.
What it solves
- Source monitoring: collect messages from Telegram channels and chats on a schedule.
- AI relevance scoring: evaluate every item against workspace themes with a score and explanation.
- Signals and alerts: notify operators when an event crosses the configured thresholds.
- Autopublish: generate drafts from triggered signals and route them into moderation.
- Digests: assemble curated briefings for a time window with AI-assisted writing and manual review.
Core workflow
Telegram sources -> message collection -> normalization -> AI scoring by theme
|
+-> signals -> Telegram alerts
| |
| +-> autopublish draft -> moderation -> publication
|
+-> digests -> candidate selection -> generation -> review -> approval
Capabilities
| Capability | Description |
|---|---|
| Telegram connection | Connect a Telegram account, inspect dialogs, and manage the session |
| Sources and collection | Add channels and chats and collect messages on a schedule |
| Message processing | Normalize, deduplicate, and classify incoming content |
| Themes | Define interest profiles in plain language, including what to exclude |
| AI scoring | Score each news item against each active theme on a 0..1 scale |
| Signals | Subscribe to themes with hotness thresholds, cooldowns, and alert delivery |
| Autopublish | Generate and moderate publication drafts when a signal fires |
| Digests | Build curated news summaries with AI-generated text and manual editing |
| Digest templates | Define tone, structure, and generation rules for digest output |
| Promo images | Generate promotional images for digest-related content |
Multi-workspace model
Signailist supports isolated workspaces with role-based access for Owners, Editors, and Viewers. One Telegram account can be connected to multiple workspaces, while data and configuration stay isolated per workspace.