Refinement of ".SOL" Domain Appraisal Algorithm
Budget: $30 – $250 USD
We are seeking a skilled freelancer to help refine and improve the algorithm for a nearly complete domain name appraisal tool. This tool appraises domains with the ".SOL" TLD, using factors such as registration cost, floor price, character length penalty, and relevance. We need a candidate with a strong background in mathematics, economics, pricing, or similar fields involving numerical analysis and algorithm development. Web3 experience is a plus but not strictly required.
Scope
1. Evaluation: Assess the current state of our algorithm, including available variables, data sources, and methods used for appraising domain names.
2. Data Analysis: Analyze the data currently being used in our tool, identifying any gaps or opportunities for improvement.
3. Algorithm Refinement:Recommend and develop an enhanced algorithm that accurately reflects the value of ".SOL" domains, factoring in aspects like registration cost, floor price trends, penalties for character length, and relevance scores.
Ideal Candidate:
- Experience in pricing algorithms, valuation methods, or similar quantitative tasks.
- Proficient in data analysis and algorithm design.
- Background in mathematics, economics, or finance is a plus.
- Ability to work with limited data sources and make optimization recommendations.
- Web3/blockchain experience is a plus but not mandatory.
Deliverables:
- A comprehensive evaluation of the current algorithm and available data sources
- A report on insights and analysis from the data.
- A refined or new algorithm for domain appraisal, with clear documentation of variables and their impact.
How to Apply:
Please share any relevant experience with pricing models, domain valuation, or algorithm development. Links to previous projects are a plus.
All links and data sources can be found here
https://docs.google.com/document/d/1nuHkUjwRJ3Z7f31DTtw0hQBm52OqRA9AAJkdrmFwWxQ/edit?usp=sharing
Scope
1. Evaluation: Assess the current state of our algorithm, including available variables, data sources, and methods used for appraising domain names.
2. Data Analysis: Analyze the data currently being used in our tool, identifying any gaps or opportunities for improvement.
3. Algorithm Refinement:Recommend and develop an enhanced algorithm that accurately reflects the value of ".SOL" domains, factoring in aspects like registration cost, floor price trends, penalties for character length, and relevance scores.
Ideal Candidate:
- Experience in pricing algorithms, valuation methods, or similar quantitative tasks.
- Proficient in data analysis and algorithm design.
- Background in mathematics, economics, or finance is a plus.
- Ability to work with limited data sources and make optimization recommendations.
- Web3/blockchain experience is a plus but not mandatory.
Deliverables:
- A comprehensive evaluation of the current algorithm and available data sources
- A report on insights and analysis from the data.
- A refined or new algorithm for domain appraisal, with clear documentation of variables and their impact.
How to Apply:
Please share any relevant experience with pricing models, domain valuation, or algorithm development. Links to previous projects are a plus.
All links and data sources can be found here
https://docs.google.com/document/d/1nuHkUjwRJ3Z7f31DTtw0hQBm52OqRA9AAJkdrmFwWxQ/edit?usp=sharing