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Moozonian News
github.com• Feb 3, 2026• 1 min read
Show HN: Localflare – Local Dev Dashboard for Cloudflare Workers(D1, KV, R2 etc.I built Localflare because developing with Cloudflare Workers locally felt blind – you couldn't see what was actually in your D1 databases, KV stores, or R2 buckets during development.Just run `npx localflare` in any Workers project and get a full dashboard with:- D1 Studio: SQL editor, inline editing, filtering, dummy data generation (Faker.js) - KV Browser: View/edit key-value pairs - R2 File Manager: Upload/download objects - Queue Inspector: Send test messages - Durable Objects: View instance stateThe interesting technical bit: it uses a sidecar architecture that injects an API worker alongside yours in the same wrangler process. Both workers share the exact same binding instances – no mocks, real data. Your code stays completely untouched.Zero config. Works with any framework (Hono, Remix, Astro, OpenNext, Nuxt). Just needs wrangler.toml.Would love feedback, especially on what bindings or features you'd want next.
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Moozonian News
github.com• Feb 3, 2026• 1 min read
Show HN: Homomorphically Encrypted Vector DatabaseAs personal AI agents like OpenClaw become more powerful by leveraging intimate user data, privacy has emerged as a fundamental bottleneck.We’re releasing HEVEC, a vector database built on homomorphic encryption, enabling end-to-end privacy with real-time search at scale.HEVEC is designed as a drop-in alternative to plaintext vector databases and supports real-time encrypted search at scale (1M vectors in ~187 ms).Key points: - A secure, drop-in alternative to plaintext vector databases - End-to-end homomorphic encryption for both data and queries - Real-time encrypted search at scale (1M vectors in 187 ms)As personal AI agents become deeply personalized, data ownership must belong to users.HEVEC enforces this through privacy-by-design architecture.We’d appreciate feedback from the AI, systems, and privacy communities.
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