X Demand Radar

("this is insane" OR "game changer" OR "holy shit" OR "mind blown" OR "this is crazy" OR "cannot believe" OR "blown away") (game OR tool OR app OR website OR "web app" OR builder OR generator OR platform OR "waitlist") min_faves:200 since:SINCE_48H

("just launched" OR "just dropped" OR "just shipped" OR "new AI tool" OR "just released" OR "introducing" OR "launching today") (AI OR LLM OR GPT OR agent OR open source) min_faves:30 since:SINCE_24H

("just launched" OR "just dropped" OR "just shipped" OR "just released" OR "introducing" OR "launching today" OR "new" OR "announcing") (game OR tool OR app OR website OR "web app" OR builder OR platform) min_faves:100 since:SINCE_24H

("this is insane" OR "game changer" OR "holy shit" OR "mind blown" OR "this is crazy" OR "cannot believe" OR "blown away") (AI OR LLM OR GPT OR agent OR tool) min_faves:100 since:SINCE_48H

("github.com" OR "open source") (AI OR LLM OR GPT OR agent) ("stars" OR "trending" OR "blew up" OR "blowing up" OR "just hit") min_faves:100 since:SINCE_48H

("waitlist" OR "beta access" OR "invite" OR "early access" OR "can't wait" OR "need this") (AI OR LLM OR tool OR app) min_faves:50 since:SINCE_72H

[Cron: 每12小时]
       ↓
[浏览器注入 X Cookie → 已登录状态]
       ↓
[L0-L4 逐层搜索 → JS 滚动收集]
       ↓
[合并去重 → 计算 raw_hot_score]
       ↓
[🔍 Step 2.5: 项目新鲜度校验]
       ↓
[AI 提取：关键词 + 产品名 + 项目年龄 + 一句话总结]
       ↓
[Top 10 排序 → 生成报告]
       ↓
[直接发送飞书]

const now = new Date();
const since24h = new Date(now - 24*60*60*1000).toISOString().split('T')[0];
const since48h = new Date(now - 48*60*60*1000).toISOString().split('T')[0];
const since72h = new Date(now - 72*60*60*1000).toISOString().split('T')[0];

const SEARCH_GROUPS = [
  {
    layer: 'L0-野生病毒',
    q: `("this is insane" OR "game changer" OR "holy shit" OR "mind blown" OR "this is crazy" OR "cannot believe" OR "blown away") (game OR tool OR app OR website OR "web app" OR builder OR generator OR platform OR "waitlist") min_faves:200 since:${since48h}`,
    since: since48h
  },
  {
    layer: 'L1-新品发射-AI',
    q: `("just launched" OR "just dropped" OR "just shipped" OR "new AI tool" OR "just released" OR "introducing") (AI OR LLM OR GPT OR agent OR "open source") min_faves:30 since:${since24h}`,
    since: since24h
  },
  {
    layer: 'L1-b-泛新品',
    q: `("just launched" OR "just dropped" OR "just shipped" OR "just released" OR "introducing" OR "launching today" OR "new" OR "announcing") (game OR tool OR app OR website OR "web app" OR builder OR platform) min_faves:100 since:${since24h}`,
    since: since24h
  },
  {
    layer: 'L2-病毒传播',
    q: `("this is insane" OR "game changer" OR "holy shit" OR "mind blown" OR "this is crazy" OR "cannot believe" OR "blown away") (AI OR LLM OR GPT OR agent OR tool) min_faves:100 since:${since48h}`,
    since: since48h
  },
  {
    layer: 'L3-GitHub爆发',
    q: `("github.com" OR "open source") (AI OR LLM OR GPT OR agent) ("stars" OR "trending" OR "blew up" OR "blowing up" OR "just hit") min_faves:100 since:${since48h}`,
    since: since48h
  },
  {
    layer: 'L4-FOMO',
    q: `("waitlist" OR "beta access" OR "invite" OR "early access" OR "can't wait" OR "need this") (AI OR LLM OR tool OR app) min_faves:50 since:${since72h}`,
    since: since72h
  }
];

// 在 browser console 中运行
async function collectAndScore(sinceHours) {
  let allPosts = [];
  let prevCount = 0;
  let scrolls = 0;
  const maxScrolls = 12;

  while (scrolls < maxScrolls) {
    const articles = document.querySelectorAll('article');
    articles.forEach((a) => {
      const textEl = a.querySelector('[data-testid="tweetText"]') || a.querySelector('[lang]');
      const text = textEl?.innerText || '';
      if (!text || text.length < 30) return;

      const likesEl = a.querySelector('[data-testid="like"] span');
      let likes = 0;
      if (likesEl) {
        const txt = likesEl.innerText.replace(/,/g, '');
        if (txt.includes('K')) likes = Math.round(parseFloat(txt.replace('K','')) * 1000);
        else if (txt.includes('M')) likes = Math.round(parseFloat(txt.replace('M','')) * 1000000);
        else likes = parseInt(txt) || 0;
      }

      // 提取作者
      const allLinks = Array.from(a.querySelectorAll('a[role="link"]'));
      const authorLink = allLinks.find(l => l.href && l.href.includes('x.com/') && !l.href.includes('/status/') && !l.href.includes('search') && !l.href.includes('hashtag'));
      const author = authorLink?.href?.split('/').pop() || '';

      // 提取时间
      const timeEl = a.querySelector('time');
      const time = timeEl?.getAttribute('datetime') || '';

      // 提取链接
      const statusLink = allLinks.find(l => l.href && l.href.includes('/status/'));
      const link = statusLink?.href || '';

      // 提取转发数
      const repostEl = a.querySelector('[data-testid="retweet"] span, [data-testid="repost"] span');
      let reposts = 0;
      if (repostEl) {
        const txt = repostEl.innerText.replace(/,/g, '');
        if (txt.includes('K')) reposts = Math.round(parseFloat(txt.replace('K','')) * 1000);
        else reposts = parseInt(txt) || 0;
      }

      if (!allPosts.some(p => p.text === text)) {
        allPosts.push({ text: text.substring(0, 400), likes, reposts, author, time, link });
      }
    });

    if (allPosts.length === prevCount && scrolls > 2) break;
    prevCount = allPosts.length;

    window.scrollBy(0, 600);
    await new Promise(r => setTimeout(r, 1500));
    scrolls++;
  }

  // 计算热力值
  const now = new Date();
  return allPosts.map(p => {
    const postTime = new Date(p.time);
    const hoursAgo = Math.max(0.1, (now - postTime) / (1000 * 60 * 60));
    const likesPerHour = p.likes / hoursAgo;
    const hotScore = Math.round(p.likes * Math.log(1 + likesPerHour));
    return { ...p, hoursAgo: Math.round(hoursAgo * 10) / 10, likesPerHour: Math.round(likesPerHour), hotScore };
  }).sort((a, b) => b.hotScore - a.hotScore);
}

// 在 GitHub 仓库页面运行
const createdEl = document.querySelector('relative-time');
const createdAt = createdEl?.getAttribute('datetime') || '';
const daysSinceCreated = (new Date() - new Date(createdAt)) / (1000 * 60 * 60 * 24);

let freshnessLabel;
if (daysSinceCreated < 7) freshnessLabel = '🆕 新品';
else if (daysSinceCreated < 30) freshnessLabel = '📈 上升';
else if (daysSinceCreated < 90) freshnessLabel = '⚠️ 旧项目回锅';
else freshnessLabel = '💀 古董（排除）';

const freshnessMultiplier = daysSinceCreated < 7 ? 1.0 : daysSinceCreated < 30 ? 0.7 : daysSinceCreated < 90 ? 0.3 : 0;
const finalScore = Math.round(rawHotScore * freshnessMultiplier);

// 排除话题：crypto、战争、NSFW、meme coin
const excludePatterns = [
  /crypto|bitcoin|nft|token.*sale/i,
  /war|killed|attack|bomb/i,
  /nsfw|onlyfans|porn/i,
  /ai.*girlfriend|ai.*waifu/i,
  /meme.*coin/i
];

const filtered = allPosts
  .filter(p => p.hotScore >= 200)  // 热力值阈值
  .filter(p => !excludePatterns.some(r => r.test(p.text)))
  .slice(0, 15);

从以下 X 帖子提取热点关键词（不限 AI）：

帖子：{{ text }}
发布者：@{{ author }}
点赞：{{ likes }} | 转发：{{ reposts }}
发布：{{ hoursAgo }}小时前 | 增速：{{ likesPerHour }}赞/小时

输出：
- **关键词/产品名**：[提取 1-3 个核心关键词]
- **一句话**：[这个工具/项目做什么]
- **热度评分**：[hotScore]
- **套利信号**：强/中/弱（增速>500赞/h = 强，100-500 = 中，<100 = 弱）

{
  "date": "YYYY-MM-DD",
  "signals": [{
    "rank": 1,
    "keyword": "产品/项目名",
    "description": "一句话描述做什么",
    "likes": 188, "velocity": 109, "hotScore": 884,
    "freshness": "🆕 新品", "finalScore": 884, "signal": "🟡 中",
    "author": "@handle",
    "tweetLink": "https://x.com/user/status/xxx",
    "hoursAgo": 1.7,
    "github": "owner/repo", "stars": "2.8K",
    "sourceLayer": "L1 新品发射-AI",
    "arbitrageDirection": "套利方向说明 + 推荐域名",
    "domainSuggestions": ["domain1.com", "domain2.com"],
    "actionPlan": "具体行动方案：做什么、怎么做、为什么现在是时机",
    "painPoint": "用户痛点：为什么有人需要这个"
  }]
}

🔍 AI 热点雷达 | {{DATE}} {{TIME}}

> **数据来源：X/Twitter 实时抓取 @claw0x**

## 📰 Today's News 侧边栏

| 话题 | 时间 | 帖数 |
|------|------|------|
| {{topic}} | {{age}} | {{posts}} |

## 🔥 Top 10 热力榜

| # | 关键词 | 赞 | 增速(赞/h) | 热力值 | 新鲜度 | 最终得分 | 套利信号 |
|---|--------|-----|-----------|--------|--------|---------|---------|
| 1 | xxx | 5.2K | 1,200 | 36,000 | 🆕 0.8天 | 36,000 | 🔴 强 |

### 🚀 立即行动（套利信号 ≥ 中）
1. **{{keyword}}** — {{summary}}
   - @{{author}} | {{likes}}赞 | {{likesPerHour}}赞/小时 | {{hoursAgo}}h前
   - GitHub: `{{owner/repo}}` | 创建 {{daysAgo}} 天前 | {{stars}} stars
   - 域名：{{domain}}.com（{{status}}）
   - 套利方向：{{arbitrageDirection}}

## ⚠️ 已排除（旧项目回锅）

| 项目 | 原因 | 星标 | 年龄 |
|------|------|------|------|
| UI-TARS-desktop (ByteDance) | 桌面自动化 agent，X 重新被提起 | 30.9K | >12个月 |

---

📊 扫描参数
- 搜索层：L0 野生 / L1 新品-AI / L1-b 泛新品 / L2 病毒 / L3 GitHub / L4 FOMO
- 时间范围：{{since}} - {{until}}
- 原始帖子：{{raw}} 条 → 去重 {{deduped}} → 过滤 {{filtered}} → 精选 {{top}} 条
- GitHub 校验：排除 {{excluded}} 个旧项目
- 浏览器状态：已登录 @claw0x

## 🔮 关键洞察

（列出 2-4 个本日扫描发现的关键趋势）

cd /Volumes/sunzi/Code/ludusAI
# Save per-date JSON snapshot for /radar detail pages
cp public/data/demand-radar.json "public/data/radar/YYYY-MM-DD.json" 2>/dev/null || true
# Build manifest
ls public/data/radar/*.json | python3 -c "
import json,os,sys
m=[]
for f in sys.stdin.read().strip().split():
  d=json.load(open(f))
  t=d.get('top10',[])
  m.append({'date':os.path.basename(f).replace('.json',''),'topKeywords':[x.get('keyword','') for x in t[:3]],'signalCount':len(t),'newsTopics':[n.get('topic','') for n in d.get('news',[])[:2]],'insights':d.get('insights',[])[:3],'strongSignal':sum(1 for x in t if '强' in x.get('signal','')),'mediumSignal':sum(1 for x in t if '中' in x.get('signal','')),'raw':d.get('scanParams',{}).get('raw',0),'top':d.get('scanParams',{}).get('top',0),'excluded':d.get('scanParams',{}).get('githubExcluded',0),'layers':d.get('scanParams',{}).get('layers',[])})
m.sort(key=lambda x:x['date'],reverse=True)
json.dump(m,open('public/data/radar-manifest.json','w'),ensure_ascii=False,indent=2)
print(f'manifest: {len(m)} reports')
"
git add daily-reports/YYYY-MM-DD/x-demand-radar.md public/data/demand-radar.json public/data/radar/YYYY-MM-DD.json public/data/radar-manifest.json
git commit -m "radar: YYYY-MM-DD HH:MM CST - <top signal summary>"
git pull --rebase && git push  # ⚠️ 必须 rebase，防止 non-fast-forward 拒绝

// 先导航到 x.com 再注入，然后验证 x.com/home 登录成功
document.cookie = "auth_token=06dec19f563932f39d96f93e9d8c005d3de9b7a9; domain=.x.com; path=/; secure; SameSite=None";