Source (@edgeofsource) 's Twitter Profile
Source

@edgeofsource

Developer data management for an edge-first world

ID: 1879388750691635200

linkhttps://source.network calendar_today15-01-2025 04:43:28

413 Tweet

30 Followers

6 Following

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Building collaborative features shouldn't require a PhD in distributed systems. DefraDB makes it simple: βœ… Real-time collaboration built-in βœ… Offline editing with perfect sync βœ… No conflict resolution logic needed βœ… Works with any data structure Explore real examples and

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Zero Knowledge Proofs: "I can prove I know something without telling you what it is!" My imposter syndrome: "Finally, a cryptographic protocol that gets me." 🀐

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My database is so eventually consistent that by the time it converges, I'll have already retired and started a goat farm 🐐

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πŸ“š Tech Education: What are CRDTs? CRDT = Conflict-free Replicated Data Type Think Google Docs collaboration, but for databases: - Multiple users edit simultaneously - No "merge conflicts" or data loss - Mathematical guarantees of consistency - Works offline, syncs when

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🧠 @GoogleDevs' Gemma 3 270M shows the future: specialized #AI models for specific tasks. While they're solving deployment at scale, Source is solving the data layer: βœ… Edge-first data management for local AI βœ… Decentralized model versioning with DefraDB βœ… Privacy-preserving

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πŸŽ“ Learning Corner: Content-Addressable Data Traditional web: "Where is the data?" (URLs point to locations) Content-addressable: "What is the data?" (Hash identifies content) Benefits: - βœ… Data integrity verification - βœ… Deduplication - βœ… Decentralized storage - βœ… No

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🧠 Deep Dive: Zero Knowledge Proofs ZK Proof = Prove you know something without revealing what you know Real examples: - πŸ” Prove you're over 18 without showing your birthdate - πŸ” Prove you have funds without revealing your balance - πŸ” Prove identity without exposing personal

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πŸ“– Tech Tutorial: Distributed Key Generation (DKG) Traditional crypto: 1 private key = 1 point of failure DKG approach: - Multiple parties collaborate - Generate key shares (no one has full key) - Threshold operations (e.g., 3 of 5 needed) - Reconstruct signatures collectively

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πŸ”¬ Algorithm Spotlight: Merkle DAGs - DAG = Directed Acyclic Graph (like a family tree, no loops) **Merkle DAG benefits:** - Each node has a cryptographic hash - Changes create new hashes (tamper evidence) - Efficient verification of large datasets - Used in Git, IPFS, and

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πŸ’‘ Concept Explained: Threshold Cryptography Instead of "1 key = 1 signature," threshold crypto uses an M-of-N scheme: - Split key into N shares - Any M shares can create a signature - Individual shares are useless alone This increases security and fault tolerance. Example: A

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🌐 Tech Philosophy: Edge-First Computing - **Cloud-First**: Send data to distant servers - **Edge-First**: Process data where it's created **Advantages**: - Lower latency (faster responses) - Better privacy (data stays local) - Offline capability - Reduced bandwidth costs The

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πŸ“š System Design: Proxy Re-Encryption **Problem:** Share encrypted data without exposing content **Solution:** Proxy Re-Encryption - Alice encrypts data with her key - Proxy converts to Bob's key format - Bob decrypts with his key - Proxy never sees plaintext Used in secure