mcpField
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echomindr

echomindr

Remote
echomindr.comBusiness & Marketing1Updated 33w ago

About echomindr

echomindr organizes founder experiences from podcasts into searchable records for founders and AI agents researching real decisions and outcomes. Each record includes a verbatim quote and timestamped source link, with semantic search by situation.

Key features

  1. 01Search structured founder experiences
  2. 02Match stories to a situation semantically
  3. 03View quotes, decisions, outcomes, and lessons
  4. 04Filter by stage and moment type
  5. 05Find related experiences

Use cases

  1. 01Find founder examples for pricing decisions
  2. 02Research responses to near-term cash shortages
  3. 03Search for lessons by startup stage

MCP support

A remote MCP endpoint provides three tools to search experiences, retrieve full details, and find similar experiences.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://echomindr.com/mcp/
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Echomindr

3,500+ real founder moments from 60+ podcasts — searchable by AI agents.

Each moment: a named founder, a verbatim quote, a decision taken, an outcome observed, a lesson extracted — with a timestamped link to the source. Not summaries. Not paraphrases. What actually happened.

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.

Ask: "What did founders do when they nearly ran out of money?" Get: Airbnb selling cereal boxes, Notion's near-collapse during COVID, Calm's years of slow growth before the breakout — directly from the founders who lived it.

Quick start

API (REST)
# Search for founder experiences
curl "https://echomindr.com/search?q=pricing&limit=5"

# Describe a situation, get matching experiences (vector search)
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 moments
curl "https://echomindr.com/similar/{id}?limit=5"

API docs: echomindr.com/docs

MCP (for AI agents)

Connect via remote MCP: https://echomindr.com/mcp/

Or add to Claude Desktop (claude_desktop_config.json):

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

3 MCP tools:

  • search_experience — semantic search for founder stories by situation
  • get_experience_detail — full details of a moment (quote, decision, outcome, lesson)
  • find_similar_experiences — related founder stories by shared themes
llms.txt
https://echomindr.com/llms.txt

Data

  • 3,500+ moments from 340+ podcast episodes across 60+ shows
  • 52 canonical situations across 10 thematic families (PMF, growth, pricing, fundraising, team, operations, resilience, strategy, founder psychology, hostile environments)
  • 5 moment types: decision, problem, lesson, signal, advice
  • 5 stages: idea, mvp, traction, scale, mature
  • Sources: How I Built This, Lenny's Podcast, 20 Minute VC, Acquired, Y Combinator, My First Million, GDIY (Génération Do It Yourself), Disrupting Japan, Silicon Carne, Startup Ministerio, Kevin Kamis, Wall Street Paper, Valy Sy (China), Matt & Ari (Canada), Oscar Lindhardt (Denmark), Aidan Walsh (USA)

Each moment: summary · verbatim quote · decision · outcome · lesson · stage · tags · timestamp link

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_v2.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. Semantic search uses BAAI/BGE-M3 embeddings (1024-dim) via sqlite-vec.

Endpoints

EndpointMethodDescription
/searchGETFull-text search with stage/type filters
/situationPOSTDescribe a situation, get matching experiences (vector search)
/moments/{id}GETFull moment detail
/similar/{id}GETSimilar moments by shared tags
/taxonomyGET52 canonical situations across 10 families
/statsGETDatabase statistics
/llms.txtGETLLM-optimized API description
/docsGETSwagger documentation

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".

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