Echomindr

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

1,150+ structured moments + 1,000+ concrete facts extracted from How I Built This, Lenny's Podcast, 20 Minute VC, Acquired, Y Combinator, and more, plus YouTube vlogs (Valy Sy in China, Matt & Ari in Canada, Oscar Lindhardt in Denmark, Aidan Walsh in USA).

Why

AI agents give generic startup advice. Echomindr gives them access to what founders actually did — and the real numbers behind it.

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 ad budget to test a dropshipping product?" Get: $87 Meta Ads CBO broad campaign, ROAS break-even at 1.39 — from Valy Sy's actual campaign data.

Quick start

API (REST)

# Search for founder experiences (qualitative)
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"}'

# Search for concrete facts (quantitative: metrics, prices, MOQ, ROAS…)
curl "https://echomindr.com/facts/search?q=Meta+Ads+budget&location=China&limit=5"

# Describe a situation, get matching facts
curl -X POST "https://echomindr.com/facts/situation" \
  -H "Content-Type: application/json" \
  -d '{"situation": "MOQ minimum order quantity factory Guangzhou", "location": "China"}'

# Get moment or fact details
curl "https://echomindr.com/moments/{id}"
curl "https://echomindr.com/facts/{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 founder stories by situation in natural language
• get_experience_detail — get full details of a moment (quote, decision, outcome, lesson)
• find_similar_experiences — find related founder stories by shared themes
• search_facts — search for concrete facts (metrics, prices, MOQ, ROAS, timelines, volumes)
• get_fact_detail — get full fact details including verbatim transcript excerpt

llms.txt

https://echomindr.com/llms.txt

Data

Founder experiences (qualitative)

• 1,150+ moments from 100+ 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, verbatim quote, decision, outcome, lesson, stage, tags, and timestamp link.

Concrete facts (quantitative)

• 1,000+ facts from 60 episodes including YouTube vlogs
• Sources: Valy Sy (China sourcing/e-commerce), Matt & Ari (Canada), Oscar Lindhardt (Denmark), Aidan Walsh (USA), Acquired, YC, How I Built This
• 10 domains: GO-TO-MARKET, PRODUCT, OPERATIONS, TECHNICAL, ACQUISITION, FUNDRAISING, HIRING, PRICING, COMPETITION, RETENTION
• Filters: stage, domain, location (China/USA/Canada/Denmark), city

Each fact includes: the concrete event, observable signal, verbatim transcript excerpt, and 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.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

Experiences (qualitative)

Endpoint	Method	Description
/search	GET	Full-text search with stage/type/podcast filters
/situation	POST	Describe a situation, get matching experiences
/moments/{id}	GET	Full moment detail
/similar/{id}	GET	Similar moments by shared tags

Facts (quantitative)

Endpoint	Method	Description
/facts/search	GET	Full-text search with stage/domain/location/city filters
/facts/situation	POST	Describe a situation, get matching facts
/facts/{id}	GET	Full fact detail including verbatim transcript

Other

Endpoint	Method	Description
/stats	GET	Database statistics (moments + facts)
/llms.txt	GET	LLM-optimized description
/docs	GET	Swagger documentation

License

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

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