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Simon Willison's Weblog

Release: datasette 1.0a29 Thoughts on GitLab’s workforce reduction A quote from James Shore Your AI Use Is Breaking My Brain TIL: Using LLM in the shebang line of a script Learning on the Shop floor A quote from New York Times Editors’ Note A quote from Andrew Quinn A quote from Luke Curley Release: llm-gemini 0.31 Tool: Big Words Behind the Scenes Hardening Firefox with Claude Mythos Preview Notes on the xAI/Anthropic data center deal Tool: GitHub Repo Stats Live blog: Code w/ Claude 2026 Vibe coding and agentic engineering are getting closer than I’d like Release: datasette-referrer-policy 0.1 Release: datasette-llm 0.1a7 Release: llm-echo 0.5a0 Granite 4.1 3B SVG Pelican Gallery A quote from Andy Masley April 2026 newsletter Research: TRE Python binding — ReDoS robustness demo Tool: Redis Array Playground A quote from Anthropic Sightings iNaturalist Sightings Codex CLI 0.128.0 adds /goal Our evaluation of OpenAI's GPT-5.5 cyber capabilities Quoting Andrew Kelley We need RSS for sharing abundant vibe-coded apps Release: llm 0.32a1 LLM 0.32a0 is a major backwards-compatible refactor Release: llm 0.32a0 Quoting OpenAI Codex base_instructions Quoting Matthew Yglesias What's new in pip 26.1 - lockfiles and dependency cooldowns! Introducing talkie: a 13B vintage language model from 1930 microsoft/VibeVoice Tracking the history of the now-deceased OpenAI Microsoft AGI clause WHY ARE YOU LIKE THIS Quoting Romain Huet GPT-5.5 prompting guide llm 0.31 DeepSeek V4 - almost on the frontier, a fraction of the price Tool: Millisecond Converter It's a big one russellromney/honker Extract PDF text in your browser with LiteParse for the web A pelican for GPT-5.5 via the semi-official Codex backdoor API Release: llm-openai-via-codex 0.1a0 Quoting Maggie Appleton A quote from Bobby Holley Is Claude Code going to cost $100/month? Probably not—it’s all very confusing Where’s the raccoon with the ham radio? (ChatGPT Images 2.0) A quote from Andreas Påhlsson-Notini scosman/pelicans_riding_bicycles Release: llm-openrouter 0.6 TIL: SQL functions in Google Sheets to fetch data from Datasette Claude Token Counter, now with model comparisons Headless everything for personal AI Research: Claude system prompts as a git timeline Adding a new content type to my blog-to-newsletter tool - Agentic Engineering Patterns Join us at PyCon US 2026 in Long Beach—we have new AI and security tracks this year Release: datasette 1.0a28 Release: llm-anthropic 0.25 Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7 Tool: datasette.io news preview Release: datasette-export-database 0.3a1 Release: datasette 1.0a27 Gemini 3.1 Flash TTS Tool: Gemini 3.1 Flash TTS A quote from Kyle Kingsbury Release: datasette-ports 0.3 Zig 0.16.0 release notes: “Juicy Main” datasette PR #2689: Replace token-based CSRF with Sec-Fetch-Site header protection Tool: SQLite Query Result Formatter Demo Tool: SQLite Query Result Formatter Demo A quote from Giles Turnbull A quote from Giles Turnbull Research: SQLite WAL Mode Across Docker Containers Sharing a Volume Research: SQLite WAL Mode Across Docker Containers Sharing a Volume Tool: Cleanup Claude Code Paste Release: datasette-ports 0.1 Eight years of wanting, three months of building with AI A quote from Chengpeng Mou Tool: Syntaqlite Playground Release: scan-for-secrets 0.2 Release: scan-for-secrets 0.1.1 Release: scan-for-secrets 0.1 Release: research-llm-apis 2026-04-04 A quote from Kyle Daigle Vulnerability Research Is Cooked The cognitive impact of coding agents A quote from Willy Tarreau A quote from Daniel Stenberg A quote from Greg Kroah-Hartman Research: Can JavaScript Escape a CSP Meta Tag Inside an Iframe? The Axios supply chain attack used individually targeted social engineering Highlights from my conversation about agentic engineering on Lenny’s Podcast
Serving the For You feed
2026-04-24 · via Simon Willison's Weblog
Serving the For You feed One of Bluesky's most interesting features is that anyone can run their own custom "feed" implementation and make it available to other users - effectively enabling custom algorithms that can use any mechanism they like to recommend posts. spacecowboy runs the For You Feed , used by around 70,000 people. This guest post on the AT Protocol blog explains how it works. The architecture is fascinating . The feed is served by a single Go process using SQLite on a "gaming" PC in spacecowboy's living room - 16 cores, 96GB of RAM and 4TB of attached NVMe storage. Recommendations are based on likes: what else are the people who like the same things as you liking on the platform? That Go server consumes the Bluesky firehose and stores the relevant details in SQLite, keeping the last 90 days of relevant data, which currently uses around 419GB of SQLite storage. Public internet traffic is handled by a $7/month VPS on OVH, which talks to the living room server via Tailscale. Total cost is now $30/month: $20 in electricity, $7 in VPS and $3 for the two domain names. spacecowboy estimates that the existing system could handle all ~1 million daily active Bluesky users if they were to switch to the cheapest algorithm they have found to work. Tags: go , scaling , sqlite , software-architecture , tailscale , bluesky