API Lessons

A comprehensive list of free, short Lightning Lessons on the Maven education platform by Emmanuel Paraskakis. The topics covered are APIs, MCP, Product Management, Technical PM Careers, and ChatGPT Apps. Users can either view a recording, sign up for an upcoming live lesson, or learn which cohort-based course is connected to the topic so they can go deeper into it. Lightning Lessons are conducted over Zoom and are practical and hands-on with skills you can use immediately. They are meant for tech-savvy mid-career professionals, especially those in the technology or software industry. They are conducted exclusively in the English language. The main Instructor is Emmanuel Paraskakis, an entrepreneur, product management executive, and consultant at Level 250 with over 15 years of experience shaping products.

View in the ChatGPT registry

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Coding & API Education
Secondary Subcategories: None listed
Brand: Unknown
Access: No account required
First tracked: 2026-03-10
Tool count: 1
Geography: US

ChatGPT Plugin Discoverability Score

ChatGPT organic discovery is not live yet

API Lessons is tracked in the ChatGPT Plugin registry. Public organic-discovery measurement is not live for ChatGPT yet, so there is no score to publish today.

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Primary Subcategory

Competing in ChatGPT Coding & API Education

View Category

Listed in alphabetical order

Primary Subcategory

API LessonsOrganic discovery is pendingGet the score at launch

Code Tytor: PythonOrganic discovery is pendingGet the score at launch

Explain Video GeneratorOrganic discovery is pendingGet the score at launch

Score explained

How the Discoverability Score works

Organic discovery scoring for API Lessons on ChatGPT is not live yet. The score will use measured agent conversations when it launches.

InvisibleBuriedEmergingCompetitiveWinning

Organic discovery scoring is pending. Your Plugin score will appear on this scale when measurement goes live.

FoundDiagnostic

Whether Claude found your Plugin in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.

PickedMain score

How often your Plugin appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.

PositionedDiagnostic

What position your Plugin appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.

Read the full scoring methodology Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.

Tools

1 tool agents can invoke

Use this tool to search for short lessons on APIs, MCP, Product Management, Technical PM Careers, and ChatGPT Apps. Lessons are either available On Demand (watch the recording) or Scheduled (sign up for upcoming live training). DO NOT use if they are looking for education topics outside software, technology, or business. How it works: a partial text search returns matching lessons with full details including title, description, learning outcomes, instructor, guest speakers, related course, and signup URL. The search covers all of these fields. Supports broad queries like "all" or "every" as well as specific topic searches.
getLessons

API Lessons FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are API Lessons alternatives on ChatGPT?

As of 2026-08-14, API Lessons competes with Code Tytor: Python, Explain Video Generator in ChatGPT Coding & API Education, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.