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Software Engineer
Zone01 Kisumu,
@FredGitonga
Fred Gitonga
@FredGitonga
DeFi builder focused on primitives and empowering Kisumu’s developer community.
DeFi builder focused on primitives and empowering Kisumu’s developer community.
Nairobi, Kenya
4
projects
4
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prizes
0
5
hackathons
5
0
Hackathons org.
0
2,320
contributions in the last year
Apr
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Mar
2
stars earned
58
repositories
91
followers
Topizzy is a web3 fintech tool built for USDC holders who want to use their crypto in everyday life. Instead of converting to fiat and then spending, Topizzy lets you top-up mobile airtime using USDC directly, Topizzy opens a bridge between digital assets and real‐world utility.
TypeScript
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A social support network for cancer patients, survivors, caregivers, and health coaches onCare blends community connection, mentorship, and blockchain-powered rewards (via Hedera) to create a safe, stigma-free, and motivating environment for healing and resilience.
JavaScript
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A trustless peer-to-peer (P2P) sports betting platform enabling users to directly create and accept sports bets with one another, without intermediaries. All bets are executed and settled via secure smart contracts, ensuring transparency, fairness, and instant payouts on-chain.
TypeScript
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ChetuPamoja is a simple, secure crypto donation platform designed for Kenyan organizations. It works alongside existing channels like MPESA, making it easy for organizations to accept crypto without technical barriers.
JavaScript
0Stars
0Forks
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Zone01 Kisumu,
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medium.com
Descriptions when talking about investment maths Risk Events Risky events — Events with known probabilities and measurable outcomes (e.g., coin flip, dice roll) Uncertain events — Events where probabilities are unknown or cannot be reliably estimated (e.g., new technology success, unprecedented market conditions) Probability Concepts Probability density function (pdf) — Function that assigns probability to outcomes of risky events Discrete — Assigns probabilities to specific, countable outcomes (e.g., r...
medium.com
In statistics, an outlier is a data point that differs significantly from other observations. Consider a neighborhood where most households have moderate surface areas, ranging from 75 to 140 squared meters. However, there are several households with an area of > 5000 squared meters. In this case, the households with an area of 250 squared meters are the outliers because they significantly differ from the area range of the rest of the neighborhood. You can identify outliers using visualizations like box ...
medium.com
Start with the basics. Try these out. GitHub. Learn from the creators. 2. Choose a language....