ProGenEDA

The description states that ProGenEDA:

• Converts user intent and prompts into structured text containing full circuit and pin-to-pin information
• Uses AI (currently limited by Azure student credit) to generate circuit files for EDA tools
• Takes structured text and converts it into a contract acceptable to deterministic generators
• Outputs circuits for supported tools or errors if components are unsupported, prompts unclear, or resources exhausted

The author claims the system currently supports four EDA tools: Proteus, LTspice, KiCad, and EasyEDA.

The author states that ProGenEDA:

• Started as a personal solution to their own student project pain points
• Evolved from "Proteus Generator" to "ProGen" and then to "ProGenEDA"
• Was inspired by the frustration of manually building circuits in EDA tools like Proteus, LTspice, KiCad, and EasyEDA
• Positions itself as a way to eliminate manual circuit building through AI

The claim evolution shows progression from personal tool to commercial platform, with the author stating they are "in an amazing position to build it" for Y Combinator and South Park Commons.

The description states that ProGenEDA targets:

• Computer Engineers and Electrical Engineers who use EDA tools
• Students in engineering programs who work with circuit design
• Users of open-source or free EDA tools (Proteus, LTspice, KiCad, EasyEDA)

The author notes they already have "students ready to become its testers and early users" and access to "word-of-mouth promotion."

Not evidenced. The description does not contain any information about pricing models, revenue streams, or business model details.

The description states:

• Built using Azure, Codex, GPT5.6, CSS, HTML, Java, OpenAI, Python
• Uses AI to convert intent into structured text containing full circuit and pin-to-pin information
• Converts structured text into contracts acceptable to deterministic generators
• Currently limited by Azure student credit ($100)
• Architecture was initially "faulty" but later mapped out with help from Codex
• The system works with netlist-based approaches across multiple EDA tools

Not evidenced. The description contains no information about revenue, customers, usage metrics, or any traction indicators beyond the author's personal experience and testing.

The description states that ProGenEDA competes with:

• Proteus
• LTspice
• KiCad
• EasyEDA

These are all established EDA tools used by engineers for circuit design and simulation. The author notes they have "access to word-of-mouth promotion" and believe there is a "genuinely great market for it."

The description indicates several risks:

• Heavy reliance on AI tool usage (Codex, GPT-5.6) with limited resources ($100 Azure credit)
• Author is a student with limited financial resources
• The system was built using "tape" architecture initially and has been "hacked together"
• Limited to four EDA tools only
• No revenue or customer data provided
• The author states they cannot reliably share code due to exposure concerns
• The project appears to be a personal student effort rather than a commercial venture

1. What is the actual technical architecture and how scalable is it?
2. How does ProGenEDA handle edge cases or complex circuit designs that might not translate well to AI prompts?
3. What are the specific limitations of the current implementation with respect to supported components?
4. How do you plan to monetize this platform given that EDA tools already exist?
5. What is your roadmap for expanding beyond the four currently supported EDA tools?
6. How do you plan to address the resource constraints (Azure credits, Codex usage) in a commercial environment?
7. What are the actual use cases and potential customers beyond student testing?