| 1 | # ============================================================ |
| 2 | # Daily Digest — Configuration |
| 3 | # ============================================================ |
| 4 | # This file is the "personal data container." The skeleton code |
| 5 | # is the same for everyone; only this config changes per user. |
| 6 | # ============================================================ |
| 7 | |
| 8 | profile: |
| 9 | name: Xinyu |
| 10 | interests: |
| 11 | - AI and machine learning (new models, research breakthroughs, industry |
| 12 | moves, infrastructure, and the craft of building systems) |
| 13 | - technology business (startup strategy, defensibility, platform shifts, |
| 14 | when to build vs. buy, how products win or die) |
| 15 | - software engineering as a craft (architecture, testing, building |
| 16 | things from scratch to understand them) |
| 17 | - semiconductor and hardware (GPU architecture, chip supply chains, |
| 18 | geopolitics of compute) |
| 19 | - science (physics, biology, genetics, climate — breakthroughs and |
| 20 | things that change how we understand the world) |
| 21 | - economics and policy (trade, labor markets, regulation, how |
| 22 | technology reshapes industries and jobs) |
| 23 | - culture worth experiencing (movies, books, live performances with |
| 24 | real depth or craft — skip the blockbuster hype) |
| 25 | - ideas that challenge assumptions or connect fields in unexpected ways |
| 26 | background: > |
| 27 | ML engineer based in California who builds algorithms from scratch to |
| 28 | understand them deeply. Technically strong but reads broadly — wants to |
| 29 | understand the world, not just the tech stack. Thinks critically about |
| 30 | moats, incentives, and why systems work the way they do. Prefers |
| 31 | substance over hype. Don't dumb things down, but don't make everything |
| 32 | about ML either. |
| 33 | location: Santa Clara, California |
| 34 | |
| 35 | sources: |
| 36 | nyt: |
| 37 | type: rss |
| 38 | feeds: |
| 39 | - section: Technology |
| 40 | url: "https://rss.nytimes.com/services/xml/rss/nyt/Technology.xml" |
| 41 | - section: Business |
| 42 | url: "https://rss.nytimes.com/services/xml/rss/nyt/Business.xml" |
| 43 | - section: Arts |
| 44 | url: "https://rss.nytimes.com/services/xml/rss/nyt/Arts.xml" |
| 45 | - section: Top Stories |
| 46 | url: "https://rss.nytimes.com/services/xml/rss/nyt/HomePage.xml" |
| 47 | hn: |
| 48 | type: rss |
| 49 | feeds: |
| 50 | - section: Best Stories |
| 51 | url: "https://hnrss.org/best" |
| 52 | - section: Best Comments |
| 53 | url: "https://hnrss.org/bestcomments" |
| 54 | reddit: |
| 55 | type: rss |
| 56 | feeds: |
| 57 | - section: r/singularity |
| 58 | url: "https://www.reddit.com/r/singularity/.rss" |
| 59 | - section: r/TrueFilm |
| 60 | url: "https://www.reddit.com/r/TrueFilm/.rss" |
| 61 | - section: r/investing |
| 62 | url: "https://www.reddit.com/r/investing/.rss" |
| 63 | - section: r/philosophy |
| 64 | url: "https://www.reddit.com/r/philosophy/.rss" |
| 65 | |
| 66 | digest: |
| 67 | target_read_time_minutes: 5 |
| 68 | max_items: |
| 69 | read_in_depth: 4 |
| 70 | check_it_out: 3 |
| 71 | fyi: 8 |
| 72 | style: > |
| 73 | Concise, no fluff. Technical when relevant. Don't dumb things down. |
| 74 | Write like a sharp colleague giving a morning briefing, not a news anchor. |
| 75 | |
| 76 | delivery: |
| 77 | method: email |
| 78 | smtp: |
| 79 | host: "smtp.gmail.com" |
| 80 | port: 587 |
| 81 | username: "${SMTP_USERNAME}" |
| 82 | password: "${SMTP_PASSWORD}" |
| 83 | from_address: "${SMTP_USERNAME}" |
| 84 | to_address: "${DIGEST_TO_EMAIL}" |
| 85 | schedule: "0 8 * * *" |
| 86 | timezone: "America/Los_Angeles" |
| 87 | |
| 88 | llm: |
| 89 | provider: anthropic |
| 90 | model: "claude-sonnet-4-6" |
| 91 | api_key: "${ANTHROPIC_API_KEY}" |