Tech Scout

Daily multi-source intelligence digest that proactively scans X, YouTube, Reddit, and GitHub for tools, techniques, and updates relevant to your active projects — delivered before your morning session. Filters high-signal from noise using a 7/10 quality bar. Each surfaced item includes a "why this matters for you" note. Use when you want your agent to stay on top of fast-moving AI, crypto, content creation, or technical domains without you doing manual research.

Tech Scout — Daily Intelligence Digest

Bottom line: Your agent runs this automatically each morning before your first session. You get a ranked list of 3-5 actionable items from the internet. No noise, no generic newsletters — only things with a clear reason they matter to your specific projects.

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When to Invoke

Automated: Run at 06:00-07:00 local time daily, before your morning briefing session.

Manual triggers:

• "What's new in [domain] this week?"
• "Did anything relevant drop overnight?"
• "Tech scout update"
• "What should I know before today's session?"
• Any time you want a signal sweep without doing the research yourself

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Setup — Define Your Project Domains

Before running Tech Scout for the first time, configure your keyword targets by project area. Example domains:

AI & Automation

• New model releases, API price drops, free tier changes
• new AI model AI API update open source LLM AI tool comparison [year]
• agent framework Claude update GPT update Gemini update

Crypto & Trading

• New trading frameworks, Hyperliquid updates, perpetuals strategies
• crypto trading bot algorithmic trading funding rate strategy
• crypto paper trading HFT bot open source perpetual futures strategy

Content Creation & YouTube

• Video generation tools, voiceover tech, automation workflows
• AI video generation faceless YouTube automation text to video [year]
• AI narration programmatic video YouTube automation tool

Your Active Projects

• Add any domain-specific keywords for your current focus areas

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Data Sources

1. X (Twitter)

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Search last 24 hours for each keyword cluster
Filter: min 50 likes OR min 20 retweets (quality signal)
Max 5 results per keyword cluster

2. YouTube

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Search for videos uploaded in last 48 hours per keyword cluster
Filter: min 500 views within 48h (early traction signal)
Max 3 results per keyword cluster

3. Reddit

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Subreddits relevant to your domains (e.g., r/MachineLearning, r/algotrading, r/YoutubeAutomation)
Filter: upvotes > 100, posted in last 24 hours

4. GitHub

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New repos and trending topics
Filter: created in last 7 days, stars > 50
Searches: tool names, framework names, strategy names from your keyword list

5. Web Search (via real-time LLM)

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"What new [domain] tools or updates were announced in the last 48 hours?"
"Any major [domain] price changes or new free tiers announced recently?"
Catch-all for items the structured searches miss

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Relevance Scoring

Each item gets scored 1-10:

Score	Meaning	Action
8-10	Direct match to an active project + actionable today	✅ Include — flag HIGH
7	Clearly relevant, worth seeing	✅ Include — flag MEDIUM
1-6	Too generic, wrong timing, or low signal	❌ Skip

Scoring factors:

• Exact keyword match on active project = +3
• Mentions cost savings or free alternative to paid tool = +2
• Has code / repo / tutorial = +2 (immediately actionable)
• High engagement (viral early signal) = +1
• Duplicate of something surfaced in last 7 days = -5 (dedup)
• Generic entertainment / low-signal social = hard reject

Quality bar: Every surfaced item must include a one-line "Why this matters for you" note. If you can't write that note, the item scores below 7 and gets rejected.

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Deduplication

Maintain state/tech_scout_seen_urls.txt — append every surfaced URL. Before including any item, check against this file. Never surface the same URL twice within 7 days.

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Output Format

File: state/tech_scout_digest_YYYY-MM-DD.md

markdown

# Tech Scout Digest — [DATE]
_Sources scanned: X + YouTube + Reddit + GitHub + Web Search_
_Items found: [N] | After 7/10 filter: [M] | Surfacing: [K]_

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## 🔴 HIGH — Act on This

### [Item Title]
**Source:** Reddit r/[subreddit] | **Score:** 9/10 | **Domain:** [project area]
**Why relevant:** [specific reason]
**Why this matters for you:** [one-line practical impact]
**Link:** [url]
**Suggested action:** [concrete next step — "test this tonight", "read section 3", "check if this replaces [current tool]"]

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## 🟡 MEDIUM — Good to Know

### [Item Title]
**Source:** YouTube | **Score:** 7/10 | **Domain:** [project area]
**Why relevant:** [specific reason]
**Link:** [url]
**Suggested action:** [concrete next step]

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## ⚪ FYI — No Action Needed
- [Item]: [one-line summary] ([link])
- [Item]: [one-line summary] ([link])

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Morning Briefing Integration

If you run a morning briefing, integrate Tech Scout as follows:

1. Read state/tech_scout_digest_YYYY-MM-DD.md
2. Extract the top 1-3 HIGH items
3. Include a "🔬 Tech Scout" section in your morning briefing output
4. If no HIGH items: include the top MEDIUM item
5. Always link to the full digest

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Error Handling

• X API rate-limited → skip X, continue with other sources, note in digest header
• Reddit quota exceeded → fall back to web search for Reddit content
• GitHub API returns 403 → skip GitHub for today, note in header
• Always write the output file even if partial — note which sources failed

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Implementation Notes

APIs typically needed:

• X (Twitter) Bearer Token
• Google API key (for YouTube search)
• Reddit scraper (Apify or direct Reddit API)
• GitHub REST API (public search, no key needed)
• Real-time web search LLM (Grok, Perplexity, or similar)

Script entry point: tech_scout.py --date today [--dry-run] Schedule: Daily at 06:00-07:00 before morning session Output path: state/tech_scout_digest_YYYY-MM-DD.md