novita-social-monitor
Novita Social Monitor
AI industry intelligence gathering through sequential X/Twitter account review.
Output Language
Default: Chinese (中文) - All reports, summaries, and records should be in Chinese unless the user explicitly requests English.
Commands
Get Following List
twitterapi user following Jax_Zhang_4R --limit 200
Response includes: id, screen_name, name, description, followers_count, verified for each account. No additional API calls needed for account info.
Fetch Tweets (Time-Filtered)
# Read last check time from state file
STATE_FILE="$HOME/.novita-monitor/state.json"
LAST_CHECK=$(cat "$STATE_FILE" | grep -o '"last_check": "[^"]*"' | cut -d'"' -f4 2>/dev/null || echo "2026-01-01_00:00:00_UTC")
# Get current time
UNTIL=$(date -u +"%Y-%m-%d_%H:%M:%S_UTC")
# Fetch tweets from last check to now
twitterapi tweet search "from:<account> since:${LAST_CHECK} until:${UNTIL}" --limit 3 --compact
# Update state file with current time
echo "{\"last_check\": \"$UNTIL\"}" > "$STATE_FILE"
Fallback (No Time Filter)
twitterapi user tweets <account> --limit 3 --compact
Search Brand Mentions
twitterapi tweet search "@novita_labs" --limit 50 --compact
Processing Workflow
For each account in the following list:
-
按描述分类 - 使用 following 列表返回的
description字段确定分类:- LLM 竞争对手: LLM 提供商、模型托管、推理 API
- GPU 竞争对手: GPU 云、计算基础设施
- 合作伙伴: 集成合作伙伴、生态协作者
- 生态领袖: 主要平台 (OpenAI、Anthropic 等)
- 中国开源: 中国 AI 模型提供商
- AI KOL: 行业思想领袖、研究人员
- 未分类: 一般 AI 行业相关性
注意:
following命令已返回description、name、followers_count和verified状态 - 无需单独获取账户信息。 -
获取推文 - 使用上述时间过滤命令
-
按分类分析:
- 竞争对手: 产品发布、定价、合作
- 合作伙伴: 集成更新
- 生态: 平台变化
- 检查互动: 100-500 (有趣)、500-2000 (值得关注)、2000+ (重要)
-
立即记录 - 重要: 在完成每个账户审查后立即保存结果到文件,然后再处理下一个账户。这确保:
- 如果进程中断不会丢失数据
- 可以进行增量汇总
- 为将来提供审计追踪
Record Format & File Storage
Directory Structure
~/.novita-monitor/
├── <datetime>/ # Per-run directory (e.g., 2026-02-26_14-30)
│ ├── @<account>.md # Individual account reviews
│ ├── brand-mentions.md # @novita_labs brand mentions
│ └── summary.md # End-of-run summary
└── state.json # Last check timestamp
DateTime format: YYYY-MM-DD_HH-MM (UTC)
Each execution creates a new directory based on the start time:
# Get current datetime for directory name
RUN_DATETIME=$(date -u +"%Y-%m-%d_%H-%M")
mkdir -p "$HOME/.novita-monitor/$RUN_DATETIME"
Individual Account Record
File: ~/.novita-monitor/<datetime>/@<account>.md
Create immediately after reviewing each account.
# @<account> - <日期>
## 账户信息
- **分类**: [分类]
- **粉丝数**: [数量]
- **认证**: [是/否]
## 推文分析
### [摘要]
- **互动**: [点赞] 点赞, [转发] 转发
- **时间**: [时间戳]
- **链接**: https://x.com/<account>/status/<tweet_id>
- **相关性**: [为什么重要]
每条推文必须包含原始链接。
Brand Mentions Record
File: ~/.novita-monitor/<datetime>/brand-mentions.md
# 品牌提及 - <日期时间>
## 概述
总提及数: [数量]
## 重要提及
### @<提及账户>
- **推文**: [摘要]
- **链接**: https://x.com/<account>/status/<tweet_id>
- **情感**: [正面/负面/中性]
- **需要行动**: [是/否]
End-of-Run Summary
File: ~/.novita-monitor/<datetime>/summary.md
# 运行总结 - <日期时间>
## 已审查账户
总计: [数量]
## 按分类统计
- **LLM 竞争对手**: [数量] - [关键洞察]
- **GPU 竞争对手**: [数量] - [关键洞察]
- **合作伙伴**: [数量] - [关键洞察]
- **生态领袖**: [数量] - [关键洞察]
- **中国开源**: [数量] - [关键洞察]
- **AI KOL**: [数量] - [关键洞察]
- **未分类**: [数量]
## 重大动态
[需要关注的关键事件]
## 行动项
- [ ] [行动 1]
- [ ] [行动 2]
Data Aggregation (Optional)
To aggregate data across multiple runs:
# Get all summaries from today
cat ~/.novita-monitor/2026-02-26_*/summary.md
# Get all records for a specific account across all runs
find ~/.novita-monitor -name "@github.md" -exec cat {} \;
State File
Location: ~/.novita-monitor/state.json
{
"last_check": "2026-02-26_14:50:00_UTC"
}
Purpose: Records last execution time. Each run reads this time as since: value, then updates to current time after fetching tweets.
First run: Create file manually or script will use default 2026-01-01_00:00:00_UTC.
Language Preference
Default: All reports are generated in Chinese (中文).
English output: If you explicitly request English reports, specify at the start of your request:
"请生成英文报告" or "Generate reports in English"
This applies to:
- Individual account records
- Brand mentions summaries
- End-of-run summaries
- All analysis and insights