Best of SQLiteApril 2026

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    Article
    Avatar of hnHacker News·6w

    How I run multiple $10K MRR companies on a $20/month tech stack

    A bootstrapper shares how they run multiple profitable SaaS products on a $20/month tech stack. The playbook covers using a cheap VPS (Linode/DigitalOcean) instead of AWS, Go for lean statically-compiled backends, SQLite with WAL mode instead of Postgres, local GPU inference via Ollama/VLLM for batch AI tasks, OpenRouter for frontier model access with automatic fallback, and GitHub Copilot over pricier AI IDEs. The author argues this approach gives unlimited runway and eliminates the need for VC funding.

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    Article
    Avatar of nodejsNode.js·6w

    Node.js — Node.js 24.15.0 (LTS)

    Node.js 24.15.0 'Krypton' LTS has been released with several notable changes: a new --max-heap-size CLI option, require(esm) and module compile cache marked as stable, raw key format support added to KeyObject crypto APIs, a throwIfNoEntry option for fs.stat, HTTP/1 fallback configuration for HTTP/2, setTOS/getTOS added to Socket, SQLite marked as release candidate with a new limits property, C++ support for diagnostics channels, and improvements to the test runner including worker ID exposure and SIGINT handling. The release also includes numerous bug fixes across streams, crypto, HTTP, ESM, and buffer modules, plus dependency updates including npm 11.12.1, SQLite 3.52.0, and updated root certificates.

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    Article
    Avatar of idialloIbrahim Diallo·7w

    AI Did It in 12 Minutes. It Took Me 10 Hours to Fix It

    A developer shares a firsthand experience using an AI coding agent (GLM-5 via z.ai) to build a PHP media manager for a personal blog. The AI generated ~5,000 lines of spaghetti code in 12 minutes, but it took 10 hours of debugging, restructuring, and rewriting to produce a maintainable 1,254-line codebase. Key issues included incorrect file includes, missing session_start() calls, SQLite permission quirks, and conflicting system prompts causing Node.js code generation. The author reflects on the real cost of AI-generated code: the cleanup and comprehension burden often negates the speed gains, and deploying code you don't understand is a liability.