中文 | English
Signal + Nexus — where signals converge.
A personal intelligence agent that runs entirely inside Claude Code.
You're tracking the AI coding tools space. Every day you check Hacker News, GitHub Trending, Reddit, X, Product Hunt… a dozen sources, an hour of scanning, mostly noise, and you still almost miss that one critical signal.
Signex does this for you. Describe what you care about in one sentence, and it automatically collects from 15+ data sources, deduplicates, analyzes, and delivers a report with actionable insights. You read the conclusions, give feedback, and it learns what matters to you.
- Indie developers — tracking product opportunities, competitors, tech trends
- Startup founders — discovering unmet needs, validating product direction
- Tech leads — following industry direction, evaluating new tools and frameworks
- Product managers — monitoring user feedback, feature requests, market signals
- Investors / analysts — tracking market dynamics, spotting early signals
- Content creators — catching trending topics, sourcing writing material
- Researchers — continuously following developments in a specific domain
Signex is your AI intelligence analyst. You define what you care about (a "Watch"), and it autonomously collects data from multiple sources, analyzes it through different lenses, and delivers actionable reports. It remembers your feedback and adjusts future analysis accordingly.
Architecturally, Claude Code IS the runtime. There is no standalone app, server, or CLI wrapper. The agent's behavior is defined entirely in CLAUDE.md, and its capabilities are modular skills in .claude/skills/. You interact with it by talking to Claude Code.
| Concept | What it does |
|---|---|
| Watch | A continuous monitoring intent. Defines what direction to watch and what signals matter. |
| Sensor | Data collection probes. Each sensor fetches from a specific source — Hacker News, GitHub, Reddit, search APIs, RSS, etc. |
| Lens | Analysis perspectives. Choose how to look at the data — deep insight, quick brief, pro/con evaluation, or timeline trace. |
| Vault | Cross-watch insight storage. Valuable findings that transcend individual watches get deposited here. |
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flowchart TB
UA["You · shapes & calibrates"]:::actor
UA -. "watch-shape · feedback · calibrate" .-> W
UA -. "identity-shape · shape profile" .-> ID
ID["Identity<br/>identity.md"]:::identity -. "context" .-> W
W["Watches<br/>intent.md + memory.md"]:::core --> S["Sensor Selection"]:::core
subgraph Sensors["Sensors (extensible)"]
direction TB
S --> S1["Hacker News"]:::sensor
S --> S2["GitHub Trending"]:::sensor
S --> S3["Tavily / Brave / Exa"]:::sensor
S --> S4["Reddit / X / V2EX"]:::sensor
S --> S5["Product Hunt / RSS / …"]:::sensor
S --> S6["arXiv / OpenAlex"]:::sensor
S --> S7["+ Your Own Sensor"]:::sensorAlt
end
S1 & S2 & S3 & S4 & S5 & S6 & S7 --> DB[("SQLite")]:::store
DB --> L{"Lens"}:::decision
subgraph Lenses["Lenses (extensible)"]
direction TB
L --> L1["Deep Insight"]:::lens
L --> L2["Flash Brief"]:::lens
L --> L3["Dual Take"]:::lens
L --> L4["Timeline Trace"]:::lens
L --> L5["+ Your Own Lens"]:::lensAlt
end
L1 & L2 & L3 & L4 & L5 --> R["Reports & Alerts"]:::out
R --> UB["You · reads & iterates"]:::actor
UB -. "cross-watch insights" .-> V["Vault"]:::vault
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classDef actor fill:#FFF1F2,stroke:#FB7185,stroke-width:1.6px,color:#0F172A,rx:14,ry:14
style Sensors fill:transparent,stroke:#CBD5E1,stroke-width:1.2px,rx:16,ry:16
style Lenses fill:transparent,stroke:#CBD5E1,stroke-width:1.2px,rx:16,ry:16
linkStyle default stroke:#94A3B8,stroke-width:1.5px
- Python 3.11+
- uv (Python package manager)
- Claude Code (the CLI)
# Clone the repo
git clone https://github.com/zhiyuzi/Signex.git
cd signex
# Install dependencies
uv sync
# Configure API keys (at minimum, set one search API key)
cp .env.example .env
# Edit .env with your API keys
# Start Claude Code in the project directory
claudeYou: Hi
Signex initializes automatically on first greeting — creates your profile, watch templates, and vault. Then it gives you a situational briefing.
You: Help me watch AI coding tools — new IDEs, agent features, community reactions.
Signex creates a new Watch with your intent, picks relevant sensors, and is ready to run.
You: Run it.
Sensors fire, data flows into SQLite, the lens analyzes, and you get a report.
| Skill | Source | API Key | Get Key |
|---|---|---|---|
fetch-hacker-news |
Hacker News front page & search | — | |
fetch-github-trending |
GitHub Trending repos | — | |
fetch-v2ex |
V2EX (Chinese tech community) | — | |
fetch-reddit |
Reddit posts & search | — | |
fetch-rss |
Any RSS/Atom feed | — | |
fetch-tavily |
Tavily web search | Yes | tavily.com |
fetch-brave-search |
Brave Search | Yes | brave.com |
fetch-exa |
Exa AI semantic search | Yes | exa.ai |
fetch-product-hunt |
Product Hunt launches | Yes | producthunt.com |
fetch-request-hunt |
RequestHunt feature requests | Yes | requesthunt.com |
fetch-news-api |
NewsAPI.org | Yes | newsapi.org |
fetch-gnews |
GNews | Yes | gnews.io |
fetch-x |
X / Twitter search | Yes | developer.x.com |
fetch-arxiv |
arXiv preprints | — | |
fetch-openalex |
OpenAlex academic papers | Yes | openalex.org |
extract-content |
Extract full article text from URLs (supplements sensor data when needed) | — |
| Skill | Purpose |
|---|---|
lens-deep-insight |
Comprehensive analysis — key findings, trends, action items (default) |
lens-flash-brief |
3–5 bullet quick summary |
lens-dual-take |
Pro/con evaluation of a topic |
lens-timeline-trace |
Event timeline reconstruction |
| Skill | Purpose |
|---|---|
db-save-items |
Store sensor data (auto-dedup) |
db-query-items |
Query items by watch, source, time |
db-save-analysis |
Record analysis runs |
db-stats |
Run history & statistics |
db-source-health |
Data source health monitoring |
| Skill | Purpose |
|---|---|
identity-shape |
Conversational user profile shaping & iteration |
watch-shape |
Conversational watch cognitive structure design & iteration |
| Skill | Purpose |
|---|---|
run-watch |
Execute full watch cycle (collect → analyze → report) |
save-report |
Write reports and alerts to disk |
update-memory |
Integrate user feedback into watch memory |
webhook-notify |
Push report summary to IM tools (Feishu, Discord, WeCom, etc.) |
| Skill | Purpose |
|---|---|
setup |
Project initialization (directories, templates, database) |
webhook-setup |
Interactive webhook configuration wizard |
skill-creator |
Guide for creating new skills |
signex/
├── CLAUDE.md # Agent behavior definition (the brain)
├── .claude/skills/ # All skills (sensor, lens, db, action)
├── profile/identity.md # User identity & preferences
├── watches/ # Watch definitions
│ ├── index.md # Watch registry
│ └── {watch-name}/
│ ├── intent.md # What to monitor
│ ├── memory.md # Feedback memory & cognitive evolution
│ └── state.json # Run state
├── vault/ # Cross-watch insights
│ ├── index.md # Vault index
│ └── *.md # Individual insight notes
├── reports/{date}/{watch}/ # Analysis output
├── alerts/{date}/ # High-signal alerts
├── knowledge/ # Skill knowledge base (reference docs)
├── data/signex.db # SQLite database
├── src/ # Python scripts (HTTP + SQLite only)
└── .env # API keys (not committed)
Copyright (c) 2026 Li Ze
This project is licensed under the GNU Affero General Public License v3.0.
You are free to use, modify, and distribute this software under the terms of the AGPL-3.0. If you run a modified version as a network service, you must make the source code available to its users.
