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# Discord Link Ingest Interest Profile
Updated: 2026-06-28
Source: discrawl read-only analysis of Yuta/toymaker Discord messages.
## Author IDs considered
- `890593691440398456` — yuta, historical messages through 2025-03-24
- `890908900520505354` — toymaker, current identity through 2026-06-28
## Evidence snapshot
- Total messages by these identities in archive: 42,677
- URL-containing messages: 13,169
- Top channels by message volume: `💭|yuta`, `chat`, `notes`
- Recent URL domains are heavily technical/source-oriented: `github.com`, `x.com`, `github.blog`, `zenn.dev`, `openai.com`, `blog.cloudflare.com`, `docs.litellm.ai`, `scrapbox.io`, `obsidian.md`, `hermes-agent.nousresearch.com`, `alphaxiv.org`.
- Keyword signals: AI/LLM, X/Twitter, development/code, workflow automation, wiki/knowledge management, agents/Hermes.
## Current scoring bias
Start strict. The wiki should remain curated; raw sources are acceptable, but wiki-page upgrades should require durable reuse value.
### Score 4 — create/update substantial wiki pages
Use for sources that are central to one of these durable themes:
- LLM Wiki / compiled knowledge bases / Obsidian / knowledge management systems
- AI agents, Hermes Agent, Codex/Claude/OpenCode-style automation, multi-agent workflows
- Developer tooling that changes Yuta's automation/dev workflow materially
- Quality engineering, security, supply-chain, infra reliability for AI/software systems
- Technical writeups with implementation details likely to be referenced later
- Niche, exciting design/hack/Hacker News-like material, especially when it exposes an unusual technique, tool, interface, or way of thinking
- Public-interest/public-sector technology, civic infrastructure, accessibility (a11y), inclusive design, and systems that make services more usable or equitable
- Papers or research with clear relevance to LLMs, agents, evaluation, knowledge systems, automation, accessibility, or public-interest technology
### Score 3 — update existing page only
Use when the source adds a concrete fact, method, comparison, or implementation note to an existing page, but does not deserve a new page.
### Score 2 — raw/articles only
Use for interesting but not-yet-connected sources:
- good one-off articles
- news with possible future relevance
- tools/repos worth remembering but not yet central
- X/Twitter links only when they point to durable technical content or a thread with reusable insight
### Score 1 — state/link-only
Use for URLs whose title/context is notable but body extraction fails or value is unclear.
### Score 0 — skip
- ads/campaigns
- memes/ephemeral posts
- shallow news with no later reuse value
- duplicate URLs
- login-only pages where no useful content is extractable
- media-only links unless explicitly tied to a technical/knowledge workflow
## Per-domain handling hints
- `github.com`: prioritize repos, READMEs, issues/PRs, commits related to automation, agents, LLMs, dev infra, security, QE. Skip personal one-off commits unless message context says they matter.
- `x.com`: do not auto-upgrade by default. Use only for high-signal technical threads or links to durable sources.
- `zenn.dev`, `github.blog`, `openai.com`, `blog.cloudflare.com`, technical docs/blogs: usually score 2+, score 3/4 if aligned with above themes.
- newspapers/general news: usually score 0-2 unless strongly connected to cyber/security/AI policy or a durable thesis.
- YouTube: usually link-only unless transcript/title/context indicates durable technical value.
## Learning rule
After each run, if repeated keep/skip decisions reveal a stable preference, append one compact note here or to state.md. Prefer explicit evidence from Discord messages over assumptions from short Hermes conversations.
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# Discord Link Ingest State
last_checked_at: 2026-06-28T11:58:52Z
last_message_created_at: 2026-06-28T07:26:20.859000000Z
lookback_used: 24h_initial_state_missing
channels:
chat: '1028287639918497822'
tw: '1477793137064935675'
## Last run summary — 2026-06-28
- Messages scanned: 110
- URL-containing messages: 103
- Normalized unique URLs found: 613
- Non-X/non-twitter URLs: 73
- Raw articles saved: 8
- Wiki pages created: 1
- Wiki pages updated: 3 (`concepts/llm-wiki-pattern.md`, `concepts/wiki-maintenance-loop.md`, `index.md`)
- Link-only / failed extraction: Obsidian Headless help (`defuddle` returned empty), alphaxiv 2606.25331 (`defuddle` returned empty), many X/t.co/media/news links below strict threshold.
## Raw articles saved this run
- https://github.com/nashsu/llm_wiki → raw/articles/nashsu-llm-wiki-2026.md (score 4)
- https://hermes-agent.nousresearch.com/docs/user-guide/skills/bundled/research/research-llm-wiki → raw/articles/hermes-research-llm-wiki-skill-2026.md (score 4)
- https://github.com/emacsmirror/howm → raw/articles/howm-2026.md (score 2)
- https://github.com/Imbad0202/academic-research-skills → raw/articles/academic-research-skills-2026.md (score 2)
- https://refactoringenglish.com/excerpts/write-an-effective-design-doc/ → raw/articles/refactoring-english-effective-design-doc-2026.md (score 2)
- https://github.blog/developer-skills/github/i-automated-my-job-and-it-made-me-a-better-leader/ → raw/articles/github-automated-my-job-better-leader-2026.md (score 2)
- https://www.chinatalk.media/p/how-to-buy-cheap-claude-tokens-in → raw/articles/chinatalk-transfer-station-economy-2026.md (score 2)
- https://github.com/BRO3886/rem → raw/articles/rem-cli-macos-reminders-2026.md (score 2)
## Processed high-signal URLs
- https://github.com/nashsu/llm_wiki
- https://hermes-agent.nousresearch.com/docs/user-guide/skills/bundled/research/research-llm-wiki
- https://github.com/emacsmirror/howm
- https://github.com/Imbad0202/academic-research-skills
- https://refactoringenglish.com/excerpts/write-an-effective-design-doc/
- https://github.blog/developer-skills/github/i-automated-my-job-and-it-made-me-a-better-leader/
- https://www.chinatalk.media/p/how-to-buy-cheap-claude-tokens-in
- https://github.com/BRO3886/rem
- https://obsidian.md/ja/help/headless
- https://www.alphaxiv.org/abs/2606.25331
## Rubric note
First run confirmed unusually dense interest in LLM Wiki / knowledge-management tooling (`llm_wiki`, Hermes bundled skill docs, howm, Obsidian Headless) from #chat. Keep scoring this cluster high, but continue strict wiki-page updates: create/update pages only for sources that directly change the LLM Wiki operating model; save adjacent workflow/security/dev-tool links as raw-only unless they connect to existing pages.