Archive position — measured, not model output
0 likes on Devpost
2,264 of the 7,856 archived projects have more likes, and 5,592 share exactly 0 — so this project's #6,789 place in the like-ranked listing is a tie-break inside that group, not a ranking.
Projects (log scale)
Likes on Devpost. ▲ marks this project's group.
Show the figures
| Likes | Projects | Share of archive |
|---|---|---|
| 0 | 5,592 | 71.2% |
| 1 | 1,758 | 22.4% |
| 2 | 285 | 3.6% |
| 3–4 | 132 | 1.7% |
| 5–9 | 75 | 1.0% |
| 10+ | 14 | 0.2% |
Executive Summary
The description states that "Smart waveform viewers" is a waveform viewer tool built as a VSCode plugin, intended to detect protocols in digital design signals, group related signals, highlight errors, and suggest fixes. The author claims it improves engineer productivity. No revenue, customers, or traction data are provided. The project appears to be a hackathon submission with one founder, Hassan Ebrahimi, using Node.js and "vibe coding". The single most important open question is whether this tool has any real-world adoption or commercial viability beyond its initial prototype.
What The Product Actually Is
The description states that the product is a waveform viewer tool built as a VSCode plugin. It claims to understand protocols, group signals belonging to a protocol, highlight errors, and suggest how to fix them. The author describes it as a tool to improve digital design engineer productivity. It was built using Node.js and "vibe coding".
Positioning & Claim Evolution
The description states that the product is positioned as a waveform viewer that is "smart", with claims of detecting protocols, deciphering patterns, highlighting errors, and suggesting fixes. The author's own write-up describes it as a tool to improve digital design engineer productivity. There is no evidence of prior positioning or evolution in claims beyond this self-reported description.
Target Customer & ICP
The description states that the target customer appears to be digital design engineers, based on the claim that the tool improves their productivity. The author mentions "digital design" and "signals", suggesting a niche audience within hardware design or embedded systems engineering. No specific customer segments or personas are identified.
Business Model & Pricing Evidence
Not evidenced. The description does not contain any information about pricing, monetization strategy, or business model.
Technical & Delivery Signals
The description states that the tool was built with Node.js and "vibe coding". It is described as a VSCode plugin. The author notes challenges in automating testing. No evidence of technical architecture, scalability, or delivery mechanisms beyond this basic stack.
Traction & Maturity Signals
Not evidenced. The description does not contain any information about customers, usage metrics, revenue, or product maturity beyond its status as a hackathon submission.
Competitive Context
Not evidenced. The description does not mention competitors, market positioning, or competitive landscape.
Key Risks & Red Flags
- The project appears to be a hackathon submission with no evidence of commercial traction or adoption
- Only one team member is mentioned (Hassan Ebrahimi)
- No revenue, customer data, or business model disclosed
- The tool is described as a VSCode plugin, which may limit its market reach
- Testing challenges noted suggest potential technical limitations
- No evidence of product-market fit or user feedback beyond the author's own claims
Diligence Questions To Ask The Founders
- What specific protocols does the waveform viewer detect and how accurate is this detection?
- How many digital design engineers have actually used this tool and what was their feedback?
- What is the current development status and roadmap for the VSCode plugin?
- Are there any existing competitors in this space, and how does your solution differ?
- What are the technical limitations of the current implementation that might affect scalability?
- How do you plan to monetize this tool beyond its current prototype status?
Investment/Partnership Verdict
Not evidenced. The description provides no information about financials, traction, or commercial viability to support an investment or partnership decision. The project appears to be a hackathon submission with no demonstrated market adoption or business model.
Source
Submitted to the OpenAI 2026 hackathon on Devpost. Project home on DevPost.
The analysis above was generated by a language model from the project's own one-line description. It is not independent research and contains no verified traction, revenue or customer data.