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πŸ” Bello β€” Know Who You're Meeting

"Show up prepared, ask better questions, make real connections."

A Claude skill that helps you research people before meetings so you can have more meaningful conversations. Aggregates public information from LinkedIn, personal websites, academic profiles, and more into warm, readable reports that help you connect authentically β€” not awkwardly.

License: MIT Claude Code


🎯 What It Does

Bello helps you prepare for conversations by researching people from publicly available sources. It's like having a thoughtful friend who's an excellent researcher, helping you show up informed and ready to connect.

Perfect For:

  • 🀝 Coffee chats & networking β€” Show up knowing their interests, not just their job title
  • πŸ’Ό Job interviews β€” Ask informed questions about their team, company, or recent work
  • πŸ’° Investor meetings β€” Understand their portfolio, thesis, and what they actually fund
  • πŸŽ“ Academic connections β€” Reference their research, lab culture, and collaboration style
  • 🏒 Professional introductions β€” Break the ice with genuine shared interests

Why This Helps:

  • Stand out: Most people show up with generic questions. You'll reference their actual work.
  • Find common ground: Discover shared interests before the meeting (rock climbing, travel, food)
  • Ask thoughtful questions: Reference their recent posts, portfolio companies, or research
  • Build authentic rapport: Move past small talk to topics they genuinely care about

What Makes Bello Different:

  1. Personal life matters β€” Hobbies, travel, pets, food interests β€” the stuff that actually starts conversations
  2. Finance Intelligence Module β€” For VC/investor meetings: portfolio analysis, fund strategy, deal patterns
  3. Specific conversation starters β€” 6 openers backed by evidence from their actual work
  4. Multi-source synthesis β€” LinkedIn + personal websites + academic pages + writing = complete picture
  5. Warm, human writing β€” Reads like a friend briefing you, not a background check report

πŸ“¦ Installation

Prerequisites

LinkedIn MCP Server (Required for Full Functionality)

Bello works without connectors but gets only ~30% of LinkedIn profiles from search snippets. For full reports (95%+ coverage), install the LinkedIn MCP server:

# Install the LinkedIn MCP server
npm install -g @modelcontextprotocol/server-linkedin

Then add to ~/.claude/config.json:

{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-linkedin"],
      "env": {
        "LINKEDIN_USERNAME": "your-email@example.com",
        "LINKEDIN_PASSWORD": "your-password"
      }
    }
  }
}

Security note: Store credentials securely. For OAuth-based options (more secure), see docs/connector-setup.md.

Installing the Bello Skill

For Claude Code Users (Recommended)

  1. Clone this repository:
git clone https://github.com/evelynchen916-coder/bello-skill.git
cd bello-skill
  1. Copy the skill to your skills directory:
mkdir -p ~/.claude/skills/bello
cp SKILL.md ~/.claude/skills/bello/SKILL.md
  1. Verify installation:
# In Claude Code
/skills list

You should see bello in the list.

  1. Test it out:
Tell me about [Person Name at Company]

For Claude Desktop Users

  1. Download SKILL.md from this repository
  2. Copy to ~/.claude/skills/bello/SKILL.md
  3. Restart Claude Desktop
  4. The skill will automatically activate when you ask to research someone

πŸš€ Quick Start

Basic Usage

Research John Smith, VP of Engineering at Anthropic
Prepare me for a coffee chat with Sarah Chen, climate VC at Sequoia
Who is Dr. Emily Rodriguez? She's a computational biology professor at Stanford.

Finance Professional Example

Tell me about Ben Scruggs at Hatteras Venture Partners before our investor meeting

Bello automatically detects finance professionals and activates the Finance Intelligence Module, which includes:

  • Portfolio company financials
  • Fund economics and deployment strategy
  • Investment sector focus with normalized allocations
  • Deal-specific conversation starters

πŸ“Š What You Get

Every Bello report includes:

Core Sections (All Reports)

  • Identity signals β€” Quick context (location trail, platforms, confidence level)
  • The Pull Quote β€” Most revealing statement from their own words
  • Who They Really Are β€” 3-5 paragraph portrait with communication style analysis
  • What They Think About β€” Interest/capital allocation table (always sums to 100%)
  • Their Journey β€” Career timeline with insights
  • Signal Analysis β€” Communication style mapping
  • Life Outside Work β€” Hobbies, travel, pets, personal interests
  • Conversation Starters β€” 6 specific openers backed by evidence
  • Source Inventory β€” Transparent accounting of data sources
  • What We Didn't Find β€” Honest gaps in research

Finance Module (Auto-activates for VCs, PEs, Angels)

  • Capital Allocation Table β€” Normalized to 100% (thesis areas, deployment mechanisms)
  • Investment Sector Focus β€” Stage, check size, portfolio percentage by category
  • Fund & Deployment Strategy β€” AUM, fundraising history, typical check sizes
  • Portfolio Company Financials β€” Total raised, exit status, return signals
  • Financial Health Signals β€” Customer concentration, partnership status, exit velocity
  • Deal-Specific Conversation Starters β€” Reference actual funds, portfolio companies, check sizes

πŸ” Privacy & Ethics

Bello is read-only and uses only publicly available information:

  • βœ… Institutional pages, conference bios, academic databases
  • βœ… LinkedIn/Twitter search snippets (no login required)
  • βœ… Public company websites, press releases, news
  • βœ… Personal websites, Substacks, Medium, GitHub
  • ❌ Private accounts, locked profiles, non-public data
  • ❌ Never automates connection requests, messages, or engagement

Rate limiting: LinkedIn allows ~80-100 profile views/day on standard accounts. Bello typically needs 1-5 views per report.


πŸ”Œ Optional: LinkedIn Connector Setup

Bello works without any connectors, but LinkedIn MCP access improves report quality by 3-4x.

Without connector: ~30% of LinkedIn profile from search snippets With connector: Full profile, all posts, experience details, skills, recommendations

Option A: Claude in Chrome (Easiest)

  1. Navigate to the LinkedIn profile in your browser
  2. Ask Claude to read the page directly
  3. Works with your authenticated session β€” no setup required

Option B: LinkedIn MCP Server (Recommended for Developers)

See docs/connector-setup.md for detailed instructions on:

  • ConnectSafely MCP (OAuth, no password sharing)
  • LinkupAPI (no-code, free tier)
  • Composio LinkedIn integration (for Claude Code)

πŸ“š How It Works

Bello runs a 6-phase research process:

  1. Intake β€” Extract name, context, hints from user query
  2. Discovery β€” 15-25 targeted searches across multiple source types
  3. Extraction β€” Collect professional, academic, personal, finance data
  4. Analysis β€” Pattern detection, network inference, deduction
  5. Finance Module β€” (If applicable) Deep dive into portfolio, fund economics, deal strategy
  6. Writing β€” Synthesize into magazine-quality report

Source Priority Hierarchy:

  1. Institutional pages (lab pages, company "About" pages) β€” fully accessible
  2. Conference bios, speaker pages β€” fully accessible
  3. Personal websites, Substacks, Medium, GitHub β€” fully accessible
  4. Academic databases (Google Scholar, Semantic Scholar) β€” accessible
  5. LinkedIn search snippets β€” partial access, ~30% of profile
  6. Finance databases (Crunchbase, PitchBook snippets) β€” accessible
  7. News, podcasts, press β€” fully accessible

🎯 Use Cases

1. Networking Prep

Scenario: You have a coffee chat with a senior engineer at a company you admire.

Bello delivers:

  • Career trajectory and technical skills
  • Recent talks/blog posts to reference
  • Hobbies and personal interests for rapport
  • Specific conversation starters backed by evidence

2. Investor Meetings

Scenario: You're pitching a VC and want to understand their investment thesis.

Bello delivers (Finance Module):

  • Portfolio company analysis with financials
  • Check size ranges by stage
  • Investment sector focus (normalized allocation)
  • Co-investment patterns and syndicate strategy
  • Deal-specific conversation starters

3. Academic Collaboration

Scenario: You're considering a PhD advisor or research collaboration.

Bello delivers:

  • Publication history and citation patterns
  • Advisor relationships and co-author network
  • Research focus evolution over time
  • Lab culture signals from student/postdoc pages

4. Job Interviews

Scenario: You're interviewing at a startup and want to research the founders.

Bello delivers:

  • Founding team analysis (technical backgrounds, complementary skills)
  • Company product/technology deep dive
  • Communication style and intellectual positioning
  • Personal interests for authentic connection

πŸ› οΈ Advanced Features

Finance Intelligence Module

Automatically activates for VCs, private equity, angels, asset managers. Includes:

1. Normalized Capital Allocation

| Focus Area | % of Capital/Time | Trend | Deployment Mechanism |
|-----------|------------------|-------|----------------------|
| NAM infrastructure | 35% | ↑↑ | Lead seed checks, board seats |
| Biopharmaceutical therapeutics | 40% | β†’ | Series A-B follow-ons |
| Regulatory policy & FDA alignment | 15% | ↑ | SPV co-investments |
| Life science tools | 10% | ↑ | Opportunistic |
| **TOTAL** | **100%** | | |

2. Portfolio Company Financials

| Company | Stage | Total Raised | Exit Status | Timeline | Return Signal |
|---------|-------|--------------|------------|----------|--------------|
| Kymera Therapeutics | Public | $500M+ | $KYMR | 8 years | >$3B market cap |
| HistoSonics | Acquired | $20M | Bezos Expeditions | 15 years | 112x return |

3. Investment Pattern Analysis

  • Check sizes by stage (seed: $500K-$2M, Series A: $2M-$8M)
  • Follow-on participation rate
  • Board seat allocation (reveals conviction)
  • Exit velocity and return patterns

Multi-Source Search Strategy

Bello runs 15-25 searches across 5-6 different source types:

  • Core identity (LinkedIn snippets, institutional affiliations)
  • Institutional traces (lab pages, university profiles, conference bios)
  • Academic depth (Google Scholar, papers, co-authors)
  • Writing & personal (Substack, Medium, podcasts, hobbies)
  • Startup/company (Crunchbase, product descriptions, co-founder analysis)
  • Finance (portfolio searches, fund data, board seats)

Identity Confirmation

Cross-references across sources to ensure correct person:

  • Same university + graduation year β†’ high confidence
  • Co-author with known advisor β†’ very high confidence
  • Shared surname + complementary skills β†’ flag as potential family connection

🀝 Contributing

Contributions welcome! See CONTRIBUTING.md for guidelines.

Areas for Improvement:

  • Additional finance database integrations (PitchBook, Dealroom)
  • International source support (non-English profiles)
  • Academic paper sentiment analysis (citation context)
  • Company financial health scoring
  • Network graph visualization

πŸ“ License

MIT License - see LICENSE for details.


πŸ™ Acknowledgments

Built for Claude Code by Evelyn Chen.

Inspired by the need for authentic, evidence-based networking prep that respects privacy while delivering genuine insights.


πŸ“§ Contact & Support


⭐ Star this repo if Bello helps you make meaningful connections!

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Know who you're meeting before you meet them. Research people from public sources to ask better questions, find common ground, and stand out in coffee chats and networking.

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