Echomindr

Real founder experiences from 100+ podcasts — searchable by AI agents.

1,150+ structured moments extracted from How I Built This, Lenny's Podcast, 20 Minute VC, Acquired, Y Combinator, and more. Each moment is a real decision, problem, lesson, or signal — with context, outcome, verbatim quote, and timestamp link.

Why

AI agents give generic startup advice. Echomindr gives them access to what founders actually did.

Ask: "How did founders handle their first pricing?" Get: Kevin Hale's 10-5-20 rule, Josh Pigford charging $249/month from day one, Madhavan Ramanujam's options trick — with quotes, outcomes, and source links.

Quick start

API (REST)

# Search for moments about pricing
curl "https://echomindr.com/search?q=pricing&limit=5"

# Describe a situation, get matching experiences
curl -X POST "https://echomindr.com/situation" \
  -H "Content-Type: application/json" \
  -d '{"situation": "B2B SaaS founder with free pilots that won'\''t convert to paid"}'

# Get moment details
curl "https://echomindr.com/moments/{id}"

# Find similar experiences
curl "https://echomindr.com/similar/{id}"

API docs: echomindr.com/docs

MCP (for AI agents)

Add to Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "echomindr": {
      "command": "python",
      "args": ["echomindr_mcp.py"],
      "env": {
        "ECHOMINDR_API_URL": "https://echomindr.com"
      }
    }
  }
}

Or connect via SSE: https://echomindr.com/mcp/

Tools exposed:

• search_experience — search by situation in natural language
• get_experience_detail — get full details of a moment
• find_similar_experiences — find related founder stories

llms.txt

https://echomindr.com/llms.txt

Data

• 1,150+ moments from 96 podcast episodes
• 82 founders including Stewart Butterfield, Yvon Chouinard, Joe Gebbia, and more
• 5 moment types: decision, problem, lesson, signal, advice
• 5 stages: idea, mvp, traction, scale, mature
• 3,824 unique tags

Each moment includes:

• Summary (2-3 sentences, self-contained)
• Verbatim quote from the founder
• What they decided and the outcome
• The lesson learned
• Stage and situation context
• Tags for filtering
• Timestamp link to the exact podcast moment

Self-hosting

To run your own instance with the sample data:

git clone https://github.com/echomindr/echomindr.git
cd echomindr
pip install -r requirements.txt

# Build a sample database
python echomindr_build_db.py --sample

# Start the API
python echomindr_api.py
# → http://localhost:8000/docs

To build the full database, you need your own podcast transcriptions and Claude API key. See echomindr_extract.py for the extraction pipeline.

Architecture

Podcast audio → Deepgram (transcription) → Claude (extraction) → SQLite → FastAPI → MCP

The extraction pipeline turns long-form podcast interviews into structured, searchable moments. Each episode yields 8-15 moments on average.

Endpoints

License

MIT — the code is open source. The hosted database at echomindr.com is a managed service.

Built by Thierry — author of "The System That Learns Wins" and "Designing for Permanent Hostility".