爱窝啦 AI 商机

Bottom Line

• Direct answer: All three candidates today have reproducible projects, but no one has proven Chinese users will pay for “run it for me.” Pick one, make a sample, and ask for quotes—watch for real intent.
• Do it or not: Do it. Pick the easiest project to reproduce, make a sample, ask 3-5 target users for pricing; if they all say “I can do it myself” or just bookmark without paying, stop immediately.
• Validate first: Pick the project with the fastest turnaround—like getting open-design running locally, screen-record the time and failure points.
• When to stop: No real inquiries or commitment deposits, only “let me bookmark this”; or sample production cost exceeds 3x the viable selling price.

Today’s Pick

Validate if anyone wants a local design tool setup package

Today’s open-design claims to turn coding tools into design engines, outputting HTML/PDF/PPTX/MP4. But no one has proven Chinese users will pay for “get it running for me.”

• Evidence & credibility: Medium. open-design official repo: proves project code, local app instructions, and multi-tool support exist ; supports Claude Code, Cursor, Codex, and 20+ tools. This candidate input provides no user payment evidence or pain point interviews.
• Fish pond & dumb method: Hypothesis to validate: some Chinese developers or small teams might get excited seeing this tool but have no clue how to run it locally or configure dependencies; they might be manually configuring tools repeatedly or asking setup questions in communities.
• Minimum delivery: Product prototype name: “open-design Local Setup Sample Package.” Deliverable: get it running in a test environment and export one verifiable file (HTML or PDF), record actual time spent and failure points, config screenshots and instructions. Does not include follow-up customization or long-term maintenance. Buyer can verify: real exported file and reproducible operation record.
• 48-hour validation: First reproduce basic functionality locally, record all steps from install to export with time spent, produce 1 showable sample file. Then send the sample, screenshots, and config instructions to 3-5 Chinese developers or design tool users, ask: “How much time would this local setup sample package save you? If I help you get it running first and deliver a verifiable file, what do you think it’s worth?” Watch if they’re willing to pay to skip installation hassle.
• First sale & repeat: Test pitch: “I’ll get open-design running locally for you, deliver verifiable export file and config instructions.” First sale fixed scope: only deliver local setup sample for one specific tool (e.g., Claude Code), one export file, and config instructions; does not include multi-tool adaptation or feature customization. If buyer needs dependency updates or adaptation to other tools, can form lightweight maintenance service; if multiple buyers request same config, can consolidate into standardized install script.
• Risk & stop conditions: After-sales and compliance risk low. Project is open source, but this input doesn’t provide specific license info—need to verify repo license terms and dependency boundaries during validation. Stop if: 3-5 target users all say “I can handle it myself” or “let me bookmark” without paying; or reproducing sample actually takes over 3 hours, making cost way higher than viable selling price; or discover project depends on external services or paid tools, can’t run independently locally.

This Week’s Tests

Validate if anyone wants code-to-knowledge-graph service

• Evidence source: graphify official repo: proves project code, feature descriptions, and multi-tool support exist
• Target pond: Hypothesis to validate: some developers or tech teams might be manually organizing codebase docs or mapping dependencies, but don’t know how to automate it.
• Minimum delivery: Use graphify in test environment to process a real codebase sample, generate queryable knowledge graph and export verifiable result (like relationship diagram or query examples); record operation time, failure points, and out-of-scope scenarios.
• 48-hour validation: First complete knowledge graph conversion using a small-to-medium open source project and record full process, then show results to 3-5 developers maintaining codebases or writing technical docs, ask if they’d pay to skip manual organization time.
• Why just a test: Project functionality is reproducible, but this candidate input provides no user interviews or payment evidence; need to validate first if target users really will pay for this kind of result.
• Stop conditions: Can’t successfully generate verifiable result in test environment; or 3-5 target users all say “I’ll research it myself” or “don’t need it right now” without paying.

Validate if anyone wants multi-agent config package

• Evidence source: agency-agents official repo: proves project code, agent descriptions, and feature list exist
• Target pond: Hypothesis to validate: some people might get excited about the AI agent team concept but don’t know how to configure or deploy.
• Minimum delivery: Deploy one basic agent from agency-agents in test environment and record config steps, produce showable running result (like agent conversation screenshot or task output); deliver config instructions and clearly excluded items.
• 48-hour validation: First deploy the simplest agent and record full process, then send config instructions and running screenshots to 3-5 Chinese users interested in AI agents, ask if they’d pay to skip config time.
• Why just a test: Project description is complete and functionality is reproducible, but this candidate input provides no user interviews or payment evidence; need to validate first if target users really will pay for “deploy it for me.”
• Stop conditions: Can’t successfully deploy or run agent in test environment; or 3-5 target users all say “I’ll try it myself” or “don’t need it right now” without paying.

Don’t Touch Today

No additional high-risk directions to call out today.

Today’s Three Steps

• Confirm today: Pick open-design and verify repo license terms and dependency boundaries
• Make today: Reproduce basic functionality in local environment and export one verifiable file
• Price today: Show sample to 3 Chinese developers and ask what they’d pay to skip installation hassle