Scored 249 articles from 150 feeds; 15 included in digest.
Run ID: run-1785181935687
Generated: July 27, 2026 at 03:56 PM ET
Summaries: gemini-flash-lite-latest; enrichment 15/15 succeeded
| Source | Type | Included | Scored | 28d Digest Rate | 28d Avg Score | 28d Hotlist Hit | 7d Article Age | 28d Confidence |
|---|---|---|---|---|---|---|---|---|
| Guardian | news | 1 | 10 | 7% | 0.13 | 0% | 11.0h | Stable |
| Hacker News | commentary | 1 | 10 | 9% | 0.20 | 0% | 2.0d | Stable |
| MyFT | news | 1 | 10 | 5% | 0.04 | 0% | 3.9h | Stable |
| TechCrunch | news | 1 | 10 | 8% | 0.08 | 0% | 10.1h | Stable |
| The Verge | news | 1 | 10 | 12% | 0.15 | 0% | 7.8h | Stable |
| Tom’s Hardware | news | 1 | 10 | 9% | 0.16 | 0% | 8.8h | Stable |
| WSJ US Business | news | 1 | 10 | 6% | 0.04 | 0% | 8.9h | Stable |
| India Times | news | 1 | 8 | 2% | 0.01 | 0% | 3.5h | Stable |
| Medium AI (keyword) | commentary | 1 | 8 | 8% | 0.08 | 0% | 0.9h | Stable |
| The Atlantic | news | 1 | 8 | 12% | 0.09 | 0% | 9.3h | Stable |
| Book Riot | commentary | 1 | 7 | 14% | 0.22 | 0% | 9.9h | Stable |
| The Onion | news | 1 | 5 | 17% | 0.44 | 1% | 7.0h | Stable |
| Atlas Obscura | commentary | 1 | 3 | ~27% | ~0.61 | ~0% | 10.7h | Low sample |
| El Reg Offbeat | news | 1 | 3 | Collecting data | Collecting data | Collecting data | 7.9h | Collecting |
| FT Alphaville | news | 1 | 2 | ~7% | ~0.07 | ~0% | 5.7h | Low sample |
| Bloomberg Markets | news | 0 | 10 | 1% | 0.01 | 0% | 6.9h | Stable |
| Bogleheads forum | news | 0 | 10 | 5% | 0.04 | 0% | 1.1h | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 0 | 10 | 7% | 0.08 | 0% | 0.8h | Stable |
| NYT front page | news | 0 | 10 | 7% | 0.05 | 0% | 6.4h | Stable |
| R/PredictionMarkets | other | 0 | 10 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| Reddit AntiAI | news | 0 | 10 | 7% | 0.10 | 0% | 9.2h | Stable |
| Subreddit R/Options | news | 0 | 10 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| Zero Hedge | commentary | 0 | 10 | 2% | 0.02 | 0% | 10.1h | Stable |
| ZD Net | news | 0 | 9 | 9% | 0.09 | 0% | 7.7h | Stable |
| Seeking Alpha News | commentary | 0 | 7 | 2% | 0.01 | 0% | 1.3h | Stable |
| WSJ Tech | news | 0 | 7 | 7% | 0.05 | 0% | 7.8h | Stable |
| Futurism | news | 0 | 5 | 9% | 0.08 | 0% | 8.0h | Stable |
| Venture Beat | commentary | 0 | 4 | ~2% | ~0.04 | ~0% | 9.4h | Low sample |
| Ars Technical All News | news | 0 | 3 | 12% | 0.10 | 0% | 8.4h | Stable |
| Reddit R/Ethereum | news | 0 | 2 | ~4% | ~0.04 | ~0% | 4.4h | Low sample |
| WSJ Social Economy | news | 0 | 2 | 2% | 0.01 | 0% | 6.3h | Stable |
| AI Daily Brief YT podcast | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.0h | Collecting |
| Ars Technica All Features | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.7h | Collecting |
| Daring Fireball | commentary | 0 | 1 | ~19% | ~0.14 | ~0% | 8.7h | Low sample |
| Economist: Asia | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.1h | Collecting |
| Economist: Business | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.2h | Collecting |
| Economist: China | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.1h | Collecting |
| Economist: Finance & Economics | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.8h | Collecting |
| Hugging Face | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 20.0h | Collecting |
| IEEE AI | research | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.1h | Collecting |
| IEEE Semiconductors | research | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.1h | Collecting |
| MIT Research General | research | 0 | 1 | Collecting data | Collecting data | Collecting data | 5.0h | Collecting |
| Manifold Markets Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.5h | Collecting |
| Next Event Horizon Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.6h | Collecting |
| Popular Information Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.5h | Collecting |
| Wired AI News | news | 0 | 1 | ~16% | ~0.10 | ~0% | 7.0h | Low sample |
| a16z | other | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.9h | Collecting |
Source: Guardian
Type: news
Included: 1
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 11.0h
28d Confidence: Stable
Source: Hacker News
Type: commentary
Included: 1
Scored: 10
28d Digest Rate: 9%
28d Avg Score: 0.20
28d Hotlist Hit: 0%
7d Article Age: 2.0d
28d Confidence: Stable
Source: MyFT
Type: news
Included: 1
Scored: 10
28d Digest Rate: 5%
28d Avg Score: 0.04
28d Hotlist Hit: 0%
7d Article Age: 3.9h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 1
Scored: 10
28d Digest Rate: 8%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 10.1h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 1
Scored: 10
28d Digest Rate: 12%
28d Avg Score: 0.15
28d Hotlist Hit: 0%
7d Article Age: 7.8h
28d Confidence: Stable
Source: Tom’s Hardware
Type: news
Included: 1
Scored: 10
28d Digest Rate: 9%
28d Avg Score: 0.16
28d Hotlist Hit: 0%
7d Article Age: 8.8h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 1
Scored: 10
28d Digest Rate: 6%
28d Avg Score: 0.04
28d Hotlist Hit: 0%
7d Article Age: 8.9h
28d Confidence: Stable
Source: India Times
Type: news
Included: 1
Scored: 8
28d Digest Rate: 2%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 3.5h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 1
Scored: 8
28d Digest Rate: 8%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 0.9h
28d Confidence: Stable
Source: The Atlantic
Type: news
Included: 1
Scored: 8
28d Digest Rate: 12%
28d Avg Score: 0.09
28d Hotlist Hit: 0%
7d Article Age: 9.3h
28d Confidence: Stable
Source: Book Riot
Type: commentary
Included: 1
Scored: 7
28d Digest Rate: 14%
28d Avg Score: 0.22
28d Hotlist Hit: 0%
7d Article Age: 9.9h
28d Confidence: Stable
Source: The Onion
Type: news
Included: 1
Scored: 5
28d Digest Rate: 17%
28d Avg Score: 0.44
28d Hotlist Hit: 1%
7d Article Age: 7.0h
28d Confidence: Stable
Source: Atlas Obscura
Type: commentary
Included: 1
Scored: 3
28d Digest Rate: ~27%
28d Avg Score: ~0.61
28d Hotlist Hit: ~0%
7d Article Age: 10.7h
28d Confidence: Low sample
Source: El Reg Offbeat
Type: news
Included: 1
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.9h
28d Confidence: Collecting
Source: FT Alphaville
Type: news
Included: 1
Scored: 2
28d Digest Rate: ~7%
28d Avg Score: ~0.07
28d Hotlist Hit: ~0%
7d Article Age: 5.7h
28d Confidence: Low sample
Source: Bloomberg Markets
Type: news
Included: 0
Scored: 10
28d Digest Rate: 1%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 6.9h
28d Confidence: Stable
Source: Bogleheads forum
Type: news
Included: 0
Scored: 10
28d Digest Rate: 5%
28d Avg Score: 0.04
28d Hotlist Hit: 0%
7d Article Age: 1.1h
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 0
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 0
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 6.4h
28d Confidence: Stable
Source: R/PredictionMarkets
Type: other
Included: 0
Scored: 10
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: No recent data
28d Confidence: Collecting
Source: Reddit AntiAI
Type: news
Included: 0
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 9.2h
28d Confidence: Stable
Source: Subreddit R/Options
Type: news
Included: 0
Scored: 10
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: No recent data
28d Confidence: Collecting
Source: Zero Hedge
Type: commentary
Included: 0
Scored: 10
28d Digest Rate: 2%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 10.1h
28d Confidence: Stable
Source: ZD Net
Type: news
Included: 0
Scored: 9
28d Digest Rate: 9%
28d Avg Score: 0.09
28d Hotlist Hit: 0%
7d Article Age: 7.7h
28d Confidence: Stable
Source: Seeking Alpha News
Type: commentary
Included: 0
Scored: 7
28d Digest Rate: 2%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 1.3h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 0
Scored: 7
28d Digest Rate: 7%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 7.8h
28d Confidence: Stable
Source: Futurism
Type: news
Included: 0
Scored: 5
28d Digest Rate: 9%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 8.0h
28d Confidence: Stable
Source: Venture Beat
Type: commentary
Included: 0
Scored: 4
28d Digest Rate: ~2%
28d Avg Score: ~0.04
28d Hotlist Hit: ~0%
7d Article Age: 9.4h
28d Confidence: Low sample
Source: Ars Technical All News
Type: news
Included: 0
Scored: 3
28d Digest Rate: 12%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 8.4h
28d Confidence: Stable
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~4%
28d Avg Score: ~0.04
28d Hotlist Hit: ~0%
7d Article Age: 4.4h
28d Confidence: Low sample
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 2
28d Digest Rate: 2%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 6.3h
28d Confidence: Stable
Source: AI Daily Brief YT podcast
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.0h
28d Confidence: Collecting
Source: Ars Technica All Features
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 8.7h
28d Confidence: Collecting
Source: Daring Fireball
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: ~19%
28d Avg Score: ~0.14
28d Hotlist Hit: ~0%
7d Article Age: 8.7h
28d Confidence: Low sample
Source: Economist: Asia
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 4.1h
28d Confidence: Collecting
Source: Economist: Business
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.2h
28d Confidence: Collecting
Source: Economist: China
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.1h
28d Confidence: Collecting
Source: Economist: Finance & Economics
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.8h
28d Confidence: Collecting
Source: Hugging Face
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 20.0h
28d Confidence: Collecting
Source: IEEE AI
Type: research
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.1h
28d Confidence: Collecting
Source: IEEE Semiconductors
Type: research
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 8.1h
28d Confidence: Collecting
Source: MIT Research General
Type: research
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 5.0h
28d Confidence: Collecting
Source: Manifold Markets Substack
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.5h
28d Confidence: Collecting
Source: Next Event Horizon Substack
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.6h
28d Confidence: Collecting
Source: Popular Information Substack
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.5h
28d Confidence: Collecting
Source: Wired AI News
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~16%
28d Avg Score: ~0.10
28d Hotlist Hit: ~0%
7d Article Age: 7.0h
28d Confidence: Low sample
Source: a16z
Type: other
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 4.9h
28d Confidence: Collecting
An opinion piece from the Guardian reflects on the life and personality of Morris, a Staffordshire bull terrier adopted at age two after being abandoned in a park. Known for his laziness, love of routine, and food motivation, Morris was notorious for stealing various foods, including sandwiches, birthday cake, raw potatoes, an entire rack of ribs, and a whole roast chicken. After living with his owners for 12 years, Morris developed dementia, leading his owners to make the decision to euthanize him after a final day of eating his favorite foods.
Keywords: Morris, Staffordshire bull terrier, dog, rescue pet, animal humor
The article from Book Riot discusses the enduring genre of gothic romance and outlines fictional tropes that could indicate a person has inadvertently become the main character in such a scenario. These signs include being invited to stay at an ancestral family manor or abbey, encountering inhabitants who keep secrets and avoid answering questions, and becoming attracted to a mysterious and brooding man who may be a widower with a past.
Keywords: gothic romance, humor, creepy manor, literature tropes
While eating a salad in Grand Junction, Colorado, local man Logan Barger paused to congratulate himself on making a healthy dietary choice. Later, sources reported that Barger drove to a Five Guys parking lot.
Keywords: salad, humor, The Onion, eccentric behavior, food
A Steam Deck owner on Reddit named ConroyyJenkinss created a customized, hostile-architecture case for their handheld console to prevent family members from borrowing it and draining the battery. The modification features a 3D-printed spiky design modeled in Blender and a Raspberry Pi-powered system that includes a speaker, an object detection camera, a servo motor, and a built-in taser to warn and deter unauthorized users. The creator reports that the deterrent has successfully stopped family members from touching the device without permission, despite the hassle of removing the case and disarming the taser for personal use.
Keywords: Steam Deck, DIY, booby trap, gaming, Raspberry Pi, family humor
Located beside the Border Village Roadhouse on the edge of the Nullarbor Plain in South Australia, Rooey II is a large kangaroo sculpture holding a tub of Vegemite. Built in 1987 by roadhouse owners to attract travelers during the America's Cup in Perth, the sculpture was designed by Bill Metherel and named Rooey II after a naming competition because the original name was already taken by one of the roadhouse owners.
Keywords: Rooey II, Nullarbor Plain, Australia, Vegemite, roadside attraction, giant kangaroo sculpture
The Autonomous Key is a $9 physical NFC device that pairs with a companion app to physically lock distracting smartphone apps, requiring users to scan the key with their phone to regain access for up to 60 minutes. Designed to remove reliance on willpower by allowing users to leave the key in another location, the device is compatible with Android 8.0+ and iOS 15+, requires no subscription fees, and can pair with multiple phones. The companion app features AI-powered habit insights with a sassy personality. Testing revealed that the NFC scan can occasionally require multiple attempts, and losing the key currently requires uninstalling and reinstalling the companion app if apps are locked, though a future update will add a backup unlock method. The product is currently in beta following a Kickstarter campaign and is available in five colors.
Keywords: NFC key, apps, phone distraction, gadget
The provided text contains headlines and snippets from various technology news categories including AI, Infosec, and FOSS, but does not include the full article text regarding the cassette simulator.
Keywords: cassette simulator, digital audio, analog, nostalgia, gadgets
The author wanted a personal assistant that could be messaged like a normal person, leading them to build a personal "Jarvis".
Keywords: personal assistant, Jarvis, AI, coding, maker project
The provided text contains only a link to a Hacker News comments page regarding Shay Locomotives.
Keywords: Shay Locomotives, steam locomotives, railroad history, mechanical engineering
According to a study reported by India Times, researchers have linked the human pineal gland—the organ controlling the sleep cycle—to a single, median "third eye" from a stationary, worm-like Cyclops ancestor that lived approximately 600 million years ago. While descendants later developed new image-forming eyes from repurposed parts of this central eye, the original structure survived and evolved into the pineal gland, which continues to regulate sleep and melatonin production in response to light and dark cycles.
Keywords: evolution, Cyclops, prehistoric sea creature, neuroscience, science
FT Alphaville announces the winner of its charts quiz.
Keywords: FTAV, charts quiz, craft, winner
Palaeographer Christopher de Hamel explores the journeys and provenance of the medieval texts that shaped his life, as discussed in a biography and memoir piece.
Keywords: Christopher de Hamel, The Migrants, medieval manuscripts, palaeography, books
San Diego Comic-Con featured various news announcements across film, TV, and gaming over the weekend, including Marvel revealing Ryan Gosling as Ghost Rider and David Jonsson as Black Panther, alongside release dates for God of War: Laufey on February 16th and the fourth and final installment of an unspecified project.
Keywords: SDCC 2026, San Diego Comic-Con, Marvel, trailers, pop culture
In an episode of The Atlantic's podcast How to Touch Grass, hosts Julie Beck and Natalie Brennan discuss the cultural trend of tech-focused nostalgia and the desire to return to a pre-smartphone era. They speak with psychologist Clay Routledge about his research on nostalgia, which indicates that yearning for past eras—including among Gen Z members who were not yet alive during them—serves as a psychological resource that helps people manage current challenges, anxieties, and life disruptions while looking forward to the future.
Keywords: smartphones, nostalgia, technology, history
Due to algorithmic changes, brands are shifting a larger portion of their influencer marketing budgets toward budding creators who have very small followings.
Keywords: social-media marketing, micro-influencers, algorithms, brand budgets