Resolve

• The description states that Resolve is a lightweight Node.js CLI tool.
• It uses structured JSON sources for marketplace scans.
• It includes:
  • A scoring and classification script
  • Structured opportunity source files
  • Rejection reasons and priority labels
  • A workflow for safe manual review before executing unknown code

• The tool is described as not just a tracker, but an AI-assisted decision layer for filtering paid opportunities.

Evidence Self-reported by the authors. No independent verification or product demo provided.

• The description states that Resolve was built to address a real operational problem: finding paid technical work is not just about spotting opportunities, but knowing which ones are worth pursuing.
• It evolved from a basic opportunity scanner into a safety-first developer tool after discovering a suspicious repository during the hackathon.

Inference The positioning shifted from a generic job tracker to a tool focused on developer safety and time protection, especially in Web3 freelance environments.

Evidence Self-reported. No external market positioning or branding data.

• The description states that Resolve is for freelancers and small technical teams.
• It is designed to help them decide whether to apply, investigate, or reject paid opportunities before spending hours on them.
• It targets those looking for work on platforms like GitHub, Algora, Superteam Earn, and Telegram job channels.

Evidence Self-reported. No segmentation data or customer interviews cited.

• The description does not state any pricing model, revenue streams, or monetization strategy.
• It is described as a CLI tool, not a SaaS product.
• No mention of subscriptions, paid features, or commercial use cases beyond the hackathon prototype.

Evidence Not evidenced. The authors do not describe how they intend to make money from this tool.

• Built with:
  • Node.js
  • JavaScript
  • OpenAI Codex
  • JSON sources
  • GitHub, Algora, Superteam Earn integrations (initially)
• Uses structured JSON for marketplace scans.
• Includes a scoring and classification script, and a workflow for safe manual review before executing unknown code.
• The first version evaluates real candidates from:
  • Algora
  • Superteam Earn
  • Telegram job channels
  • Manual intake

Evidence Self-reported. No delivery history or technical architecture details beyond the initial build.

• The project is described as a hackathon prototype.
• It was submitted to the OpenAI 2026 hackathon on Devpost.
• No evidence of:
  • Revenue
  • Customers
  • Adoption
  • Product usage metrics
  • Product versioning or iteration history

Evidence Not evidenced. The authors do not report any traction beyond the initial build.

• The description does not mention competitors or similar tools.
• It is positioned as a decision-making layer for freelance opportunities, especially in Web3 environments.
• No mention of existing tools that filter bounties or job listings.

Evidence Not evidenced. No competitive analysis or market positioning provided.

• The tool is described as a CLI-based prototype, not a commercial product.
• No evidence of:
  • Product-market fit
  • Customer feedback
  • Revenue model
  • Scalability or delivery mechanisms beyond the hackathon version
• The project was built in one week, and no follow-up or iteration is reported.

Inference The tool may be experimental, with limited commercial viability without further development or traction.

1. What is the actual usage of this tool beyond the hackathon prototype?
2. Have you validated the accuracy of your scoring model with real freelancers?
3. How do you plan to monetize this tool, if at all?
4. Are there any existing users or early adopters?
5. What are the key assumptions behind the classification logic (e.g., how is “low-value” defined)?
6. Do you have plans for a web-based interface or API integration?