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Copper Byproduct Recovery Consultancy
Found an idea? We can build it for you.
We design and develop SaaS, AI, and mobile products — from concept to launch in weeks.
Inspired by a conversation on:
Found an idea? We can build it for you.
We design and develop SaaS, AI, and mobile products — from concept to launch in weeks.
Direct Quote
"副产品收益主要是半生的黄金、白银、硫酸和稀散金属等。"
Market Gap
Smelting companies are missing out on profitable byproducts.
Summary
Categorization
Potential MRR (18-24 months)
* Estimates assume solo founder/bootstrap scenario with competent execution
Scores
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Sign InHow should I validate this service idea before building it?
2:34 PM
Great question! For a service idea like this, I'd recommend starting with these validation steps:
- Customer interviews: Talk to Subject Matter Expert to understand their pain points
- MVP approach: Build a simple landing page to test demand
- Competitor analysis: Research existing solutions and identify gaps
Would you like me to help you create a specific validation plan for your medium difficulty idea?
2:35 PM
Yes, and what about the technical implementation? Should I build this myself or hire a team?
2:36 PM
Based on your idea's complexity and 3-6 months, here's my recommendation:
Technical Strategy:
- Start with no-code tools for rapid prototyping
- Consider your technical background and available < $100
- Plan for scalability from day one
I can help you create a detailed technical roadmap and resource allocation plan...
2:37 PM
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Automated Copper Smelting Optimization Software
The idea is to develop an Automated Copper Smelting Optimization Software that utilizes machine learning and real-time data analytics to optimize the smelting process. This software would help copper smelting companies reduce their operational costs by automating processes, improving recovery rates of metals like gold and silver, and minimizing waste. Target customers would include mid to large-scale copper smelting companies looking to modernize their operations and increase profitability. The software could integrate with existing machinery and provide actionable insights to operators, allowing them to make data-driven decisions that enhance efficiency and reduce costs.