Scored 138 articles from 111 feeds; 15 included in digest.
Run ID: run-1792094131970
Generated: October 15, 2026 at 03:58 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 |
|---|---|---|---|---|---|---|---|---|
| MyFT | news | 3 | 5 | 30% | 0.10 | 0% | 4.3h | Stable |
| Bloomberg Markets | news | 2 | 5 | 34% | 0.11 | 1% | 7.7h | Stable |
| WSJ Tech | news | 2 | 5 | 21% | 0.09 | 0% | 8.8h | Stable |
| Economist: Business | news | 2 | 4 | Collecting data | Collecting data | Collecting data | 11.0h | Collecting |
| Seeking Alpha News | commentary | 1 | 5 | 19% | 0.07 | 0% | 1.5h | Stable |
| TechCrunch | news | 1 | 5 | 19% | 0.07 | 0% | 7.9h | Stable |
| WSJ Social Economy | news | 1 | 5 | 16% | 0.07 | 0% | 5.8h | Stable |
| WSJ US Business | news | 1 | 5 | 18% | 0.07 | 0% | 10.4h | Stable |
| FT Alphaville | news | 1 | 1 | ~18% | ~0.06 | ~0% | 2.5h | Low sample |
| Rod Dubitsky's substack | commentary | 1 | 1 | Collecting data | Collecting data | Collecting data | 3.3h | Collecting |
| Bogleheads forum | news | 0 | 5 | 6% | 0.03 | 0% | 1.0h | Stable |
| Futurism | news | 0 | 5 | 21% | 0.07 | 1% | 7.0h | Stable |
| Guardian | news | 0 | 5 | 8% | 0.02 | 0% | 11.7h | Stable |
| Medium AI (keyword) | commentary | 0 | 5 | 5% | 0.02 | 0% | 0.8h | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 0 | 5 | 8% | 0.03 | 0% | 0.8h | Stable |
| NYT front page | news | 0 | 5 | 6% | 0.02 | 0% | 9.2h | Stable |
| The Atlantic | news | 0 | 5 | 4% | 0.01 | 0% | 8.8h | Stable |
| The Verge | news | 0 | 5 | 9% | 0.03 | 0% | 9.4h | Stable |
| Tom’s Hardware | news | 0 | 5 | 9% | 0.03 | 0% | 9.3h | Stable |
| Zero Hedge | commentary | 0 | 5 | 36% | 0.12 | 1% | 10.0h | Stable |
| Ars Technical All News | news | 0 | 4 | 9% | 0.04 | 0% | 9.5h | Stable |
| Economist: Leaders | news | 0 | 4 | Collecting data | Collecting data | Collecting data | 1.9h | Collecting |
| ZD Net | news | 0 | 4 | ~4% | ~0.03 | ~0% | 7.9h | Low sample |
| Economist: China | news | 0 | 3 | Collecting data | Collecting data | Collecting data | 3.5h | Collecting |
| Economist: Europe | news | 0 | 3 | Collecting data | Collecting data | Collecting data | 9.9h | Collecting |
| Economist: Finance & Economics | news | 0 | 3 | Collecting data | Collecting data | Collecting data | 3.1h | Collecting |
| Economist: United States | news | 0 | 3 | Collecting data | Collecting data | Collecting data | 5.0h | Collecting |
| NYT Economy | news | 0 | 3 | Collecting data | Collecting data | Collecting data | 2.6h | Collecting |
| Silver Bulletin | commentary | 0 | 3 | Collecting data | Collecting data | Collecting data | 1.6h | Collecting |
| Economist: Asia | news | 0 | 2 | Collecting data | Collecting data | Collecting data | 3.5h | Collecting |
| El Reg Offbeat | news | 0 | 2 | Collecting data | Collecting data | Collecting data | 8.3h | Collecting |
| a16z | other | 0 | 2 | Collecting data | Collecting data | Collecting data | 5.8h | Collecting |
| Better Markets Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| Daring Fireball | commentary | 0 | 1 | ~5% | ~0.03 | ~0% | 4.9h | Low sample |
| Derek Thompson | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.7h | Collecting |
| Economist: Sci & Tech | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.4h | Collecting |
| FRBNY Liberty Street | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.8h | Collecting |
| Next Event Horizon Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.7h | Collecting |
| Noahpinion | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.5h | Collecting |
| Popular Information Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.8h | Collecting |
| Reddit R/Ethereum | news | 0 | 1 | ~7% | ~0.02 | ~0% | 2.7h | Low sample |
| Reddit R/FuturesTrading | news | 0 | 1 | ~12% | ~0.04 | ~0% | 11.4h | Low sample |
| Tunkus Crises Notes | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.4h | Collecting |
Source: MyFT
Type: news
Included: 3
Scored: 5
28d Digest Rate: 30%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 4.3h
28d Confidence: Stable
Source: Bloomberg Markets
Type: news
Included: 2
Scored: 5
28d Digest Rate: 34%
28d Avg Score: 0.11
28d Hotlist Hit: 1%
7d Article Age: 7.7h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 2
Scored: 5
28d Digest Rate: 21%
28d Avg Score: 0.09
28d Hotlist Hit: 0%
7d Article Age: 8.8h
28d Confidence: Stable
Source: Economist: Business
Type: news
Included: 2
Scored: 4
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 11.0h
28d Confidence: Collecting
Source: Seeking Alpha News
Type: commentary
Included: 1
Scored: 5
28d Digest Rate: 19%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 1.5h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 1
Scored: 5
28d Digest Rate: 19%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 7.9h
28d Confidence: Stable
Source: WSJ Social Economy
Type: news
Included: 1
Scored: 5
28d Digest Rate: 16%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 5.8h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 1
Scored: 5
28d Digest Rate: 18%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 10.4h
28d Confidence: Stable
Source: FT Alphaville
Type: news
Included: 1
Scored: 1
28d Digest Rate: ~18%
28d Avg Score: ~0.06
28d Hotlist Hit: ~0%
7d Article Age: 2.5h
28d Confidence: Low sample
Source: Rod Dubitsky's substack
Type: commentary
Included: 1
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 3.3h
28d Confidence: Collecting
Source: Bogleheads forum
Type: news
Included: 0
Scored: 5
28d Digest Rate: 6%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 1.0h
28d Confidence: Stable
Source: Futurism
Type: news
Included: 0
Scored: 5
28d Digest Rate: 21%
28d Avg Score: 0.07
28d Hotlist Hit: 1%
7d Article Age: 7.0h
28d Confidence: Stable
Source: Guardian
Type: news
Included: 0
Scored: 5
28d Digest Rate: 8%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 11.7h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 5%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 8%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 0
Scored: 5
28d Digest Rate: 6%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 9.2h
28d Confidence: Stable
Source: The Atlantic
Type: news
Included: 0
Scored: 5
28d Digest Rate: 4%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 8.8h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 0
Scored: 5
28d Digest Rate: 9%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 9.4h
28d Confidence: Stable
Source: Tom’s Hardware
Type: news
Included: 0
Scored: 5
28d Digest Rate: 9%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 9.3h
28d Confidence: Stable
Source: Zero Hedge
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 36%
28d Avg Score: 0.12
28d Hotlist Hit: 1%
7d Article Age: 10.0h
28d Confidence: Stable
Source: Ars Technical All News
Type: news
Included: 0
Scored: 4
28d Digest Rate: 9%
28d Avg Score: 0.04
28d Hotlist Hit: 0%
7d Article Age: 9.5h
28d Confidence: Stable
Source: Economist: Leaders
Type: news
Included: 0
Scored: 4
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 1.9h
28d Confidence: Collecting
Source: ZD Net
Type: news
Included: 0
Scored: 4
28d Digest Rate: ~4%
28d Avg Score: ~0.03
28d Hotlist Hit: ~0%
7d Article Age: 7.9h
28d Confidence: Low sample
Source: Economist: China
Type: news
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 3.5h
28d Confidence: Collecting
Source: Economist: Europe
Type: news
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.9h
28d Confidence: Collecting
Source: Economist: Finance & Economics
Type: news
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 3.1h
28d Confidence: Collecting
Source: Economist: United States
Type: news
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 5.0h
28d Confidence: Collecting
Source: NYT Economy
Type: news
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 2.6h
28d Confidence: Collecting
Source: Silver Bulletin
Type: commentary
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 1.6h
28d Confidence: Collecting
Source: Economist: Asia
Type: news
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 3.5h
28d Confidence: Collecting
Source: El Reg Offbeat
Type: news
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 8.3h
28d Confidence: Collecting
Source: a16z
Type: other
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 5.8h
28d Confidence: Collecting
Source: Better 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: No recent data
28d Confidence: Collecting
Source: Daring Fireball
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: ~5%
28d Avg Score: ~0.03
28d Hotlist Hit: ~0%
7d Article Age: 4.9h
28d Confidence: Low sample
Source: Derek Thompson
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.7h
28d Confidence: Collecting
Source: Economist: Sci & Tech
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 4.4h
28d Confidence: Collecting
Source: FRBNY Liberty Street
Type: policy_release
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 8.8h
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: 8.7h
28d Confidence: Collecting
Source: Noahpinion
Type: commentary
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: 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: 8.8h
28d Confidence: Collecting
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~7%
28d Avg Score: ~0.02
28d Hotlist Hit: ~0%
7d Article Age: 2.7h
28d Confidence: Low sample
Source: Reddit R/FuturesTrading
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~12%
28d Avg Score: ~0.04
28d Hotlist Hit: ~0%
7d Article Age: 11.4h
28d Confidence: Low sample
Source: Tunkus Crises Notes
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.4h
28d Confidence: Collecting
An article from FT Alphaville titled "CoreWeave’s bonds scream financial distress" states that the company needs to quickly figure out how to obtain cash from insurers.
Keywords: CoreWeave, bonds, financial distress, insurers, cash
Superstar researchers who start their own ventures need to begin producing results.
Keywords: AI neolabs, fundraising, venture capital, artificial intelligence, startups
A Swiss banking giant has received approaches from potential U.S. deal partners while publicly sparring with Swiss politicians over substantially higher capital requirements.
Keywords: Swiss banking, capital requirements, regulatory pressure, U.S. deal partners, corporate relocation
According to Deutsche Bank, AI-related spending contributed up to a third of growth in the U.K. economy during the first seven months of the year.
Keywords: U.K. Economy, AI, Artificial Intelligence, Deutsche Bank, Economic Growth
The WSJ Economics newsletter discusses topics including government equity purchases, AI-driven inflation, and the risks associated with the Treasury's short-term borrowing.
Keywords: economics, government equity, AI-driven inflation, Treasury, short-term borrowing
According to The Kobeissi Letter, today's 'stealth' bear market represents 'one of the most significant opportunities.'
Keywords: stealth bear market, investment opportunities, The Kobeissi Letter, market commentary
An African agricultural initiative funded by prominent foundations is receiving new capital despite having disappointing results.
Keywords: philanthropy, accountability, agriculture, foundations, recapitalisation
Nasdaq's effort to delist small foreign companies with volatile trading records has drawn criticism that the measure will also remove legitimate domestic businesses.
Keywords: Nasdaq, pump-and-dump, delisting, foreign companies, regulation
Harvard University's endowment reached a record $68 billion following a 27% annual return, driven by investments in equities and venture capital such as SpaceX holdings, which aided the institution during a pressure campaign from President Donald Trump.
Keywords: Harvard endowment, venture capital, equities, SpaceX, financial returns
According to WSJ Tech, gas exporter Venture Global plans to build gas-fired power plants to supply data centers in order to participate in the artificial intelligence power boom.
Keywords: Venture Global, natural gas, AI power boom, data centers, power plants
Rod Dubitsky's commentary discusses recent negative developments surrounding CoreWeave, including its pursuit of an investment-grade rating despite its unsecured debt trading at a 15% yield, a 20% stock drop, and soaring debt yields. The article frames neoclods as critical financial intermediaries in the AI bubble and revisits the author's previous analyses of CoreWeave's financial structure, including a criticized AAA rating on a SASB CMBS deal where CoreWeave was the largest tenant, a past technical default on a Blackstone loan due to covenant breaches, and a struggling debt offering involving questionable rating agency actions regarding counterparties like Jane Street.
Keywords: CoreWeave, financial risk, valuation, market trends
Rapidly growing artificial intelligence expenditure is demanding a rethink of capital deployment.
Keywords: AI, infrastructure, capital deployment, tokenomics, expenditure
Josh Wander, co-founder of 777 Partners and a former Everton bidder, is expected to plead guilty in a US fraud case involving an alleged scheme to defraud investors and lenders, just one day before his trial.
Keywords: Josh Wander, 777 Partners, fraud case, investors, lenders, Everton
According to Economist Business, Elon Musk is placing a bet that robotics will significantly increase the demand for connectivity through SpaceX's Starlink expansion.
Keywords: SpaceX, Starlink, Elon Musk, robotics, connectivity
Expense management company Ramp has raised $1.85 billion in a funding round co-led by Dragoneer Investment Group, Thrive Capital, Founders Fund, Sands Capital, and Avenir Growth, bringing its valuation to $60 billion. Ramp reported crossing $2 billion in annualized revenue, facilitating over $275 billion in annualized purchase volume, and serving 85,000 customers. The company has expanded beyond expense management into payments, fraud detection, procurement, vendor management, accounting, and AI-focused offerings, such as embedding AI agents, launching a corporate credit card for AI agents, entering the model routing business, and releasing a workspace called Glass. The new funding brings Ramp's total raised capital to approximately $5 billion as it faces increasing market overlap with HR and payroll software company Rippling.
Keywords: Ramp, valuation, AI, funding, revenue