O
Technical Ambassador
Oasis Protocol,
@manav_goyal
Manav Goyal
@manav_goyal
Aspiring Entrepreneur | Web3 & AI enthusiast
Aspiring Entrepreneur | Web3 & AI enthusiast
Technical Ambassador, Oasis Protocol
New Delhi, India
1
project
1
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prizes
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13
hackathons
13
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Hackathons org.
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contributions in the last year
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17
stars earned
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followers
Melodica is a revolutionary SocialFi platform built on the Aptos blockchain that is set to redefine the music industry. It empowers both artists and fans by providing a decentralized ecosystem for music creation, distribution, and engagement.
TypeScript
1Stars
2Forks
An AI-powered intent layer for Algorand that lets users perform crypto and DeFi actions in plain English through a simple chat interface.
TypeScript
1Stars
3Forks
JavaScript
0Stars
0Forks
Job board built on Arkiv with full ownership.
TypeScript
0Stars
0Forks
O
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Oasis Protocol,

medium.com
I’ve spent more time fixing broken integration tests than I’d like to admit. A database seed doesn’t match expectations. A mocked response drifts from reality. A small schema change breaks half the test suite. The API works, but the tests slowly become the most fragile part of the system. While working on a CRUD-based backend project, I came across Keploy, a tool that takes a very different approach. Instead of writing integration tests by hand, Keploy records real API traffic and turns it into test case...
medium.com
Introduction Public blockchains are transparent by design. Every transaction, variable, and function call is visible to anyone who inspects the chain. That’s what gives blockchains their verifiability, but it’s also their greatest limitation when you want privacy. If you’re building an on-chain poker game, every player’s hand is public. If you’re designing a DeFi protocol for private lending, everyone can see deposits, loan amounts, and liquidation thresholds. And if you want to store user credentials o...

medium.com
How Oasis Protocol’s ROFL Is Building the Foundation for Verifiable, Autonomous Intelligence. In the race to decentralize intelligence, something remarkable is happening: artificial agents are starting to transact, negotiate, and operate onchain. They’re managing treasuries, executing trades, gathering data, and coordinating tasks, not as scripts but as semi-autonomous economic actors. Yet this new wave of “onchain agents” runs into an old problem: trust. How do we know an autonomous agent is doing what...