Run summary
- Date
- 2026-07-02
- Digest model
-
claude-sonnet-4-6· 53,545 in · 6,945 out - Roundup model
-
claude-haiku-4-5-20251001· aliasclaude-haiku-4-5· 52,346 in · 5,844 out - Sources
- 49/104 ok · 19 failed · 0 blocked · 36 empty
- Items
- 169 fetched · 169 sent to LLM
- Duration
- 585.6 s
- User-Agent
evanalbright-digest/0.1
Retention funnel
Where each stage's items came from. Single axis, four stops; each bar is split by source tier so you can see whether the mix shifts as we cut down to what readers actually see.
Sources
104
feeds in registry
Fetched
169
items after dedup · 162.5% of previous · 162.5% of start
Considered
169
reached an LLM · 100.0% of previous · 162.5% of start
Published
0
in this issue · 0.0% of previous · 0.0% of start
Sources Tier 0 Tier 1 Tier 2 Tier 3
Fetch stats
49 ok 36 empty 19 failed 0 blocked
| Source | Status | Items | ms | Notes |
|---|---|---|---|---|
| Vercel Blog | ok | 12 | 910 | |
| Marginal Revolution (Tyler Cowen) | ok | 12 | 86 | |
| STAT News | ok | 12 | 209 | |
| r/MachineLearning | ok | 12 | 757 | |
| r/ClaudeAI | ok | 12 | 3408 | |
| Latent Space | ok | 11 | 59 | |
| Simon Willison | ok | 9 | 159 | |
| Dwarkesh Patel (YouTube) | ok | 9 | 1504 | |
| Hacker News (front page) | ok | 9 | 332 | |
| Cloudflare Blog | ok | 5 | 253 | |
| Hugging Face Blog | ok | 5 | 213 | |
| Google AI / DeepMind | ok | 4 | 272 | |
| Kyla Scanlon | ok | 3 | 1505 | |
| Rowan Cheung | ok | 3 | 1341 | |
| CodeEmporium | ok | 3 | 1684 | |
| Maxinomics | ok | 3 | 1362 | |
| Sabine Hossenfelder | ok | 3 | 1507 | |
| Astral Codex Ten (Scott Alexander) | ok | 3 | 139 | |
| The Pragmatic Engineer | ok | 2 | 123 | |
| Conversable Economist (Timothy Taylor) | ok | 2 | 122 | |
| Tomasz Tunguz | ok | 2 | 146 | |
| a16z News | ok | 2 | 86 | |
| Liberty Street Economics (NY Fed) | ok | 2 | 141 | |
| Google Research Blog | ok | 2 | 384 | |
| Dwarkesh Patel | ok | 2 | 260 | |
| Works in Progress | ok | 2 | 623 | |
| Fly.io Blog | ok | 1 | 147 | |
| Artificial Analysis | ok-html-fallback | 1 | 2551 | |
| Stripe Engineering | ok-html-fallback | 1 | 2087 | |
| Shopify Engineering | ok-html-fallback | 1 | 2228 | |
| All Things Distributed (Werner Vogels) | ok | 1 | 46 | |
| The Generalist (Mario Gabriele) | ok | 1 | 148 | |
| Discord Engineering | ok-html-fallback | 1 | 1863 | |
| LangChain Blog | ok-html-fallback | 1 | 2477 | |
| Hunter Walk | ok | 1 | 66 | |
| Anthropic News | ok-html-fallback | 1 | 10356 | |
| Out-Of-Pocket | ok-html-fallback | 1 | 2040 | |
| Asimov Press | ok-html-fallback | 1 | 1744 | |
| Two Minute Papers | ok | 1 | 118 | |
| Andrej Karpathy (GitHub) | ok-html-fallback | 1 | 2193 | |
| Mo Bitar (YouTube) | ok-discovered | 1 | 2842 | |
| Patrick Boyle | ok | 1 | 9 | |
| Fireship | ok | 1 | 1526 | |
| Money & Macro | ok | 1 | 1701 | |
| Y Combinator (YouTube) | ok | 1 | 1359 | |
| Noahpinion (Noah Smith) | ok | 1 | 53 | |
| a16z (YouTube) | ok | 1 | 1501 | |
| The Ezra Klein Show | ok | 1 | 563 | |
| Bessemer Atlas | ok-html-fallback | 1 | 295119 | |
| Interconnects (Nathan Lambert) | no-items | 0 | 189 | |
| Sebastian Raschka | no-items | 0 | 100 | |
| Eugene Yan | no-items | 0 | 114 | |
| Chip Huyen | no-items | 0 | 539 | |
| Alpha Signal | html-error | 0 | 1562 | Request failed with error code 403 |
| The Batch (deeplearning.ai) | html-error | 0 | 1701 | Request failed with error code 403 |
| Data Science Weekly | rss-error | 0 | 2030 | Request failed with error code 403 |
| OpenAI News | html-error | 0 | 1535 | Request failed with error code 403 |
| PostHog Engineering | no-items | 0 | 592 | |
| Not Boring (Packy McCormick) | no-items | 0 | 63 | |
| Kwokchain (Kevin Kwok) | no-items | 0 | 85 | |
| Above the Crowd (Bill Gurley) | no-items | 0 | 76 | |
| Elad Gil | no-items | 0 | 1842 | |
| Sequoia Capital | no-items | 0 | 190 | |
| AVC (Fred Wilson) | rss-error | 0 | 2485 | Request failed with error code 415 |
| Fierce Pharma | no-items | 0 | 49 | |
| Fierce Biotech | no-items | 0 | 52 | |
| Health Tech Nerds | no-items | 0 | 2578 | |
| In The Pipeline (Derek Lowe) | html-error | 0 | 1953 | Request failed with error code 403 |
| Ground Truths (Eric Topol) | rss-error | 0 | 2036 | Request failed with error code 403 |
| Rock Health Insights | no-items | 0 | 201 | |
| Andrej Karpathy (YouTube) | no-items | 0 | 59 | |
| Decoding Bio | rss-error | 0 | 2035 | Request failed with error code 403 |
| Robert Wachter | rss-error | 0 | 2030 | Request failed with error code 403 |
| Acquired | no-items | 0 | 150 | |
| Yannic Kilcher | no-items | 0 | 1507 | |
| r/LLMDevs | rss-error | 0 | 2900 | Request failed with error code 429 |
| r/LocalLLaMA | rss-error | 0 | 2907 | Request failed with error code 429 |
| r/ExperiencedDevs | rss-error | 0 | 3004 | Request failed with error code 429 |
| r/devops | rss-error | 0 | 3009 | Request failed with error code 429 |
| r/biotech | rss-error | 0 | 2346 | Request failed with error code 429 |
| r/medicine | rss-error | 0 | 3003 | Request failed with error code 429 |
| r/pharmacy | rss-error | 0 | 3000 | Request failed with error code 429 |
| AI Explained | no-items | 0 | 9 | |
| r/pharmaindustry | rss-error | 0 | 3005 | Request failed with error code 429 |
| r/biotechnology | rss-error | 0 | 3005 | Request failed with error code 429 |
| Ben Felix | no-items | 0 | 1497 | |
| DeepLearningAI | no-items | 0 | 1519 | |
| Internet of Bugs | no-items | 0 | 1670 | |
| Anthropic (YouTube) | no-items | 0 | 1488 | |
| Practical Engineering | no-items | 0 | 1307 | |
| The Robot Brains Podcast | no-items | 0 | 1643 | |
| 3Blue1Brown | no-items | 0 | 1303 | |
| Neural Breakdown with AVB | no-items | 0 | 1641 | |
| Hannah Fry | no-items | 0 | 1653 | |
| Net Interest (Marc Rubinstein) | no-items | 0 | 128 | |
| Apricitas Economics (Joseph Politano) | no-items | 0 | 127 | |
| Bits about Money (Patrick McKenzie) | no-items | 0 | 338 | |
| Bank Underground (Bank of England) | no-items | 0 | 822 | |
| Lilian Weng | no-items | 0 | 25 | |
| Klement on Investing | rss-error | 0 | 2208 | Request failed with error code 403 |
| Dan Luu | no-items | 0 | 471 | |
| Brendan Gregg | no-items | 0 | 143 | |
| Made of Bugs (Nelson Elhage) | no-items | 0 | 495 | |
| Meta AI Research | no-items | 0 | 3319 |
Style rules
Hard punctuation and phrase rules applied to all generated prose.
# Style — hard rules for every paragraph
These rules apply to all generated prose (digest paragraphs and study why-lines). They are mechanically enforced; output that violates them will be repaired or rejected.
## Punctuation: forbidden
- **No em-dash (—).** Not anywhere. Use semicolons, commas, periods, or parentheses.
- **No en-dash (–) as punctuation.** Only acceptable when part of an established numeric range that you are quoting verbatim from a source.
- **No double-hyphen (`--`) used as a dash substitute.** Same intent as the em-dash; same ban.
- **No standalone hyphens used as punctuation.** Hyphens are only legal as part of a hyphenated compound word that already exists in the language (`co-founder`, `self-hosted`, `mid-cap`). They are never legal as a beat or pause in a sentence.
If you find yourself reaching for any of those, you have probably written a run-on. The fix is usually to split the sentence at a semicolon or period.
## Phrases to avoid (AI-slop list)
Do not use these unless you are quoting them verbatim from a source you are summarising. The list is maintained alongside this file in `prompts/slop-blocklist.txt` and is checked programmatically.
- "load-bearing" (overused metaphor)
- "delve" / "delves into" / "delving"
- "moreover" / "furthermore" (as paragraph openers)
- "in today's fast-paced..."
- "game-changing" / "game-changer"
- "navigating the landscape"
- "tapestry"
- "intricate" (as a default adjective)
- "underscores" (as in "this underscores the importance of")
- "key takeaway"
- "ushering in"
- "transformative"
- "robust" (as filler)
- "leverage" (as a verb, when "use" works)
- "synergy"
- "comprehensive" (as filler)
- "in the realm of"
- "a testament to"
- "stands as a beacon"
- "navigate the complexities"
- "harness the power of"
- "unlock the potential"
- "the rise of"
- "in an era where"
- "paradigm shift"
If a source actually contains one of those phrases, you may quote it but you must put it in quotes and attribute it.
## Voice
- **Write like a journalist reporting news, not a critic weighing articles.** Tell the reader what happened, what was claimed, what the numbers are. Do not describe the article itself.
- Past tense for events. Present tense for ongoing dynamics. Future tense only when actually speculating.
- One thought per sentence. If a sentence has three clauses, it is at least two sentences.
- No "exciting", "huge", "massive", "ground-breaking", "incredible". Skeptical neutral by default.
- Skip the editorial throat-clearing ("It is worth noting that..."; "What's interesting here is..."). State the thing.
- Numbers in numerals (`$2.1B`, `15 minutes`). Years written in full (`2026`, not `'26`).
- No exclamation points.
## Forbidden: meta-commentary about the article
These constructions describe the article instead of reporting its content. They are banned.
- "The piece is technical but the payoff is concrete..."
- "The volume is the story."
- "An eventful month by Lambert's own description..."
- "The piece uses X as the worked example..."
- "This is a careful statistical argument dressed as a cultural essay..."
- "Raschka's coverage is among the clearest explanations of..."
- "The piece does not claim X; it claims Y." (talking about what the article does)
Banned patterns:
- Any sentence whose subject is "the piece", "the post", "the article", "the essay", "the coverage", "the analysis", "the argument", "the take", "this piece", "this post".
- Any sentence that grades the article ("worth reading", "useful", "clearer than most", "among the best", "more useful than most takes").
- Any reference to the writing itself ("dressed as a cultural essay", "technical but concrete", "tight argument", "careful piece").
**Write what the author said or what happened, not how the author said it. The author is a source; you are reporting their claim, not reviewing their prose.**
Examples:
- Bad: "Lambert's companion piece argues that open ecosystems have a compounding property."
- Good: "Lambert argues that open ecosystems compound. Fine-tunes, evals, and tooling built on open weights accumulate publicly, so the marginal cost of the next improvement falls for everyone."
- Bad: "The piece uses China's high-participation release culture as the worked example."
- Good: "China's high-participation release culture is the example Lambert leans on. Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, and GLM-5.1 all shipped within weeks."
- Bad: "Raschka's coverage is among the clearest explanations of why per-token inference costs have been falling."
- Good: "Raschka traces falling per-token inference costs to three changes: KV cache sharing across layers, multi-head compression, and compressed attention over long contexts."
## Colons: use sparingly
You cannot use the em-dash, so do not now lean on the colon as a pause or pivot. A colon introduces a list, a definition, or a direct quote. It is not a dramatic beat or a "here comes the payoff" reveal.
- Bad: "The piece is technical but the payoff is concrete: these changes are what allow..."
- Bad: "The core issue is verification lag: in science, the feedback loop can take decades."
- Good: Use two sentences. "The core issue is verification lag. In science, the feedback loop can take decades."
If a sentence has more than one colon, rewrite it. If a colon sits between two complete independent clauses, it is almost always wrong; use a period.
## When in doubt
Read the sentence aloud. If you would never say it out loud to a friend, rewrite it. If a semicolon is the answer, use the semicolon. If a sentence would be better as two sentences, make it two sentences.