Cold Start problem for user acquisition and content for Newton – Web3 Stack Overflow
Client: Newton.so – a place for web3 software developers to ask and answer questions, get tokens for contribution. (Web 3.0 Stack Overflow with token incentives)
My Role: Founding engineer, Growth & Backend lead
Context:
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📁 We started from scratch: the product, the users - there was nothing. We needed to find Product Market Fit, to solve the problem of a cold start:
(1) when there was no content
(2) when there was no users especially
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Results:
Helped over 1000 developers learn the Cairo programming language
- Connected omnichannel data collection automation for primary content (Python, MongoDB, PostgeSQL, TypeScript)
- Implemented product launch through the creation of a user community, where I gathered 20% of target users (StarkNet ecosystem developers)
- 100+ interviews conducted for users segmentation
- x3 organic user growth over community by SEO-optimized the site: hired an expert, generated tasks, handed over to development
- Collected product requests from users and led development, roll out to production
- Launched a feature: sponsored questions and answers (bounties). Recorded that the hypothesis did not bring significant improvements in metrics (CAC, Engagament, Retention)
- 13 closed deals with partners: reached partnerships with communities, including support from StarkNet
- Applied content marketing strategy to create retention funnels and attract new users:
- 15,000 users+ reach, top-1 ranking in SEO from two technical articles ([1], [2])
- 200,000+ reach, 500 first users, raising retention-14 metric to above market average: Launched "17 Days of Cairo" viral contest - with no marketing budget
- Hosted Twitter podcasts (AMA) with industry leaders (ArgentX, zkSync, StarkNet, DolphinLabs etc.)
- Achieved media strong word-of-mouth in user communities in United States, China, India, France, Israel
Data Warehouse for 30+ providers for Narcissa.xyz – web3 engagement platform for communities
Client: Narcissa.xyz – is a reputation leaderboard where you can measure one single score that tells how "useful" your community members were.
Results:
- Implemented the entire backend of the application to collect data from 30+ social networks
- Hired senior engineers
- Deployed Django + Python DevOps environment (Dokker, Dokku/Heroku, CI/CD), 3-tiered redundancy with different data accesses: MongoDB, PSQL, In-Cache
- Integrated a parser and implemented leaderboard system for communities
- Attracted the first paying users, made a custom collaborations with FileCoin, Hito, Altzone. Overall, attracted the first 15 communities (about 50,000 initial audience)