APPLYDJINN

Official source monitor

Company news, backed by original sources.

Read free ApplyDjinn digests, follow company updates, and explore dated market context. Original source links open after free sign-up.

Observation window

90 days

Published by official sources. Dates are shown in UTC.

Updated Nov 15, 2026, 10:57 PM UTC

Official updates

10

Published in this view

Companies publishing

1

Distinct companies in this window

Days with activity

2

Days with at least one update

Independent stories

0

0 verified US tech publishers

Cross-company mentions

0

Independent stories associated with another company

Open prediction markets

0

Separate from hiring rankings

Time range

7 days30 days90 days
Clear

The infographic

Silk official publishing pulse

1 companies · 90 UTC days

Publication cadence

When the updates appeared

Daily publication dates in UTC. Bars count posts; the line counts distinct companies.

Daily official company news
Date UTCUpdatesCompanies
2026-08-1800
2026-08-1900
2026-08-2000
2026-08-2100
2026-08-2200
2026-08-2300
2026-08-2400
2026-08-2500
2026-08-2600
2026-08-2700
2026-08-2800
2026-08-2900
2026-08-3000
2026-08-3100
2026-09-0100
2026-09-0200
2026-09-0300
2026-09-0400
2026-09-0500
2026-09-0600
2026-09-0700
2026-09-0800
2026-09-0900
2026-09-1000
2026-09-1100
2026-09-1200
2026-09-1300
2026-09-1400
2026-09-1500
2026-09-1600
2026-09-1700
2026-09-1891
2026-09-1900
2026-09-2000
2026-09-2100
2026-09-2200
2026-09-2300
2026-09-2411
2026-09-2500
2026-09-2600
2026-09-2700
2026-09-2800
2026-09-2900
2026-09-3000
2026-10-0100
2026-10-0200
2026-10-0300
2026-10-0400
2026-10-0500
2026-10-0600
2026-10-0700
2026-10-0800
2026-10-0900
2026-10-1000
2026-10-1100
2026-10-1200
2026-10-1300
2026-10-1400
2026-10-1500
2026-10-1600
2026-10-1700
2026-10-1800
2026-10-1900
2026-10-2000
2026-10-2100
2026-10-2200
2026-10-2300
2026-10-2400
2026-10-2500
2026-10-2600
2026-10-2700
2026-10-2800
2026-10-2900
2026-10-3000
2026-10-3100
2026-11-0100
2026-11-0200
2026-11-0300
2026-11-0400
2026-11-0500
2026-11-0600
2026-11-0700
2026-11-0800
2026-11-0900
2026-11-1000
2026-11-1100
2026-11-1200
2026-11-1300
2026-11-1400
2026-11-1500

Source breadth

Who published most

Official updates from the most active companies in this view.

Official updates by company
CompanyUpdates
Silk10

Coverage map

Official posts and independent mentions

0 independent stories · 0 sources

One story may mention several companies. Bars follow its publication date and count it once in this view.

Daily source coverage
Date UTCOfficial postsIndependent stories
2026-08-1800
2026-08-1900
2026-08-2000
2026-08-2100
2026-08-2200
2026-08-2300
2026-08-2400
2026-08-2500
2026-08-2600
2026-08-2700
2026-08-2800
2026-08-2900
2026-08-3000
2026-08-3100
2026-09-0100
2026-09-0200
2026-09-0300
2026-09-0400
2026-09-0500
2026-09-0600
2026-09-0700
2026-09-0800
2026-09-0900
2026-09-1000
2026-09-1100
2026-09-1200
2026-09-1300
2026-09-1400
2026-09-1500
2026-09-1600
2026-09-1700
2026-09-1890
2026-09-1900
2026-09-2000
2026-09-2100
2026-09-2200
2026-09-2300
2026-09-2410
2026-09-2500
2026-09-2600
2026-09-2700
2026-09-2800
2026-09-2900
2026-09-3000
2026-10-0100
2026-10-0200
2026-10-0300
2026-10-0400
2026-10-0500
2026-10-0600
2026-10-0700
2026-10-0800
2026-10-0900
2026-10-1000
2026-10-1100
2026-10-1200
2026-10-1300
2026-10-1400
2026-10-1500
2026-10-1600
2026-10-1700
2026-10-1800
2026-10-1900
2026-10-2000
2026-10-2100
2026-10-2200
2026-10-2300
2026-10-2400
2026-10-2500
2026-10-2600
2026-10-2700
2026-10-2800
2026-10-2900
2026-10-3000
2026-10-3100
2026-11-0100
2026-11-0200
2026-11-0300
2026-11-0400
2026-11-0500
2026-11-0600
2026-11-0700
2026-11-0800
2026-11-0900
2026-11-1000
2026-11-1100
2026-11-1200
2026-11-1300
2026-11-1400
2026-11-1500

Country filters match explicit article text; employer headquarters are not used. Official charts count the selected company’s own feed; independent mentions include stories from other publishers. Charts cover only ingested sources, not all market news. Stock prices and prediction markets provide context; neither proves a hiring change nor affects the hiring ranking.

Seven-day attention radar

Search and prediction signals

Source links unlock with a free account

Google Trending Now provides cluster traffic buckets; company Explore results provide related query indices. These measures stay distinct. Polymarket markets reflect their own question and trading activity. Neither is a hiring indicator.

All signalsGoogle TrendsPolymarket

No verified company matches for this signal filter yet. The monitor will keep checking.

Data source: Google Trends and Polymarket. Company names and provider query context are verified; ambiguous mentions are excluded.

Chronological feed

Latest about Silk

10 stories · page 1 of 1

Silk
Silk

silk.us

5 Steps to Making Your Multi-Cloud Strategy Actually Work

Multi-cloud was pitched as the answer to vendor lock-in. Spread your workloads across providers, the thinking went, and you'd get flexibility, leverage, and freedom to put each workload where it runs best.

Official company update
Silk
Silk

silk.us

Time to Face Facts: Retailers are Becoming Tech Companies | Silk

Have you ever noticed how shopping has evolved from a simple trip to the store to a fully immersive, tech-infused experience? Today’s consumers are seeking personalized shopping encounters that seamlessly blend the physical with the digital. Rather than merely selling products, retailers must now adopt the mindset of technology companies to meet these evolving demands. In this blog post, we’ll explore some innovative retailers leading the charge and delve into the compelling reasons why retailers need to embrace technology.

Official company update
Silk
Silk

silk.us

The Top Microsoft Ignite Takeaways: AI-First Infrastructure, Data Lakes, and the Future of Enterprise Data

Microsoft Ignite made one thing unmistakably clear: we’re entering the era of the AI-first enterprise. Every product, every workload, and every piece of infrastructure is being reshaped around AI acceleration. Whether you’re building customer-facing applications, running mission-critical databases, or storing decades of historical data, the expectations around speed, flexibility, and scale have completely changed.

Official company update
Silk
Silk

silk.us

Big Endian Conversion While Migrating to Azure | Silk

One of the most ‘untouchables’ of the ‘untouchable’ workloads are AIX and Solaris hosted. These are the traditional ‘Big Iron Unix’ go-to platforms for large enterprise workloads. Each is based on a company specific RISC Chip: Power PC in the case of IBM and Sparc for Sun. AIX and Solaris are the correlated Unix  OSes for each. A good number of high value, high activity on-premise workloads are still running on these RISC based commercial Unix platforms.  These ‘classic’ 64-bit RISC chip-based Unix operating systems are nearly identical to Linux (or rather Linux is nearly functionally identical to them as they pre-date it). But they are of a different word byte order.

Official company update
Silk
Silk

silk.us

Throughput vs IOPS: Navigating Cloud Performance in 2024 | Silk

As businesses continue their digital transformations, cloud migration remains a critical priority. Whether you’re an emerging cloud-native startup or a well-established company transitioning legacy systems, optimizing cloud performance is crucial. Key cloud providers like AWS, Microsoft Azure, and Google Cloud have enabled companies to scale faster than ever. However, with increased scalability comes the challenge of ensuring high-performance operations. In this landscape, two fundamental metrics—Throughput and IOPS—are essential to understand for ensuring top-tier cloud performance.

Official company update
Silk
Silk

silk.us

How Franciscan Health is Using Silk to Revolutionize Patient Care | Silk

Franciscan Health, a 12-hospital system serving communities from Indianapolis to Chicago, is leveraging cutting-edge technology to enhance its operations and patient care. Known for its commitment to innovation, Franciscan has embraced telemedicine, virtual care, and advanced analytics to better serve patients wherever they are. Central to this transformation is its strategic partnership with Silk, whose software-defined cloud storage platform has enabled Franciscan to optimize its data infrastructure.

Official company update
Silk
Silk

silk.us

Real-Time AI Inference on AWS: Fix the Data Bottleneck with Silk

If you listened to Jensen Huang’s recent interview on Stratechery, one thing is abundantly clear: AI has officially crossed the threshold from experimental to operational.

Official company update
Silk
Silk

silk.us

What is Cloud Performance? | Silk

Cloud performance refers to how well your applications, workloads and databases operate on the cloud. Your underlying cloud infrastructure should support your business objectives. In today’s digital age, speed matters. On the cloud, performance is everything. Cloud performance allows you to remain competitive as a business.

Official company update
Silk
Silk

silk.us

Cloud Storage for AI: Key Considerations, Options, and Best Choice | Silk

Artificial intelligence (AI) is only as good as the data it runs on. Whether you’re training massive language models, fine-tuning predictive algorithms, or running real-time inference, your data needs a home that can keep up. That’s where cloud storage for AI comes in. Choosing the right storage isn’t just about capacity — it’s about speed, scalability, integration, and cost-effectiveness.

Official company update
Silk
Silk

silk.us

5 Challenges of Migrating Oracle Workloads to Azure | Silk

The Oracle database is widely used around the globe for mission-critical applications and migrating Oracle workloads to the public cloud requires significant planning and testing. This blog examines the 5 challenges of migrating Oracle database workloads to Microsoft Azure and how to solve them.

Official company update
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