Google Trends · USAmazon
amazon acetaminophen recall aurobindo pharma
Cluster traffic bucket: 500+ · Oct 13, 2026
Official source monitor
Company news, backed by original sources.
Follow official updates, independent coverage and dated attention signals. Full originals open after free sign-up and an external-link warning.
Observation window
90 days
Published by official sources. Dates are shown in UTC.
Updated Oct 14, 2026, 01:25 AM UTC
Official updates
1,334
Published in this view
Companies publishing
87
Distinct companies in this window
Largest source share
6%
Of observed posts, from one company
Independent stories
101
4 verified US tech publishers
Google Trends signals
19
Matched search clusters, US + Israel
Open prediction markets
194
Separate from hiring rankings
The infographic
The publication pulse
Publication cadence
When the updates appeared
Daily publication dates in UTC. Bars count posts; the line counts distinct companies.
| Date UTC | Updates | Companies |
|---|---|---|
| 2026-07-17 | 0 | 0 |
| 2026-07-18 | 0 | 0 |
| 2026-07-19 | 1 | 1 |
| 2026-07-20 | 12 | 6 |
| 2026-07-21 | 8 | 8 |
| 2026-07-22 | 4 | 3 |
| 2026-07-23 | 6 | 6 |
| 2026-07-24 | 2 | 2 |
| 2026-07-25 | 1 | 1 |
| 2026-07-26 | 3 | 2 |
| 2026-07-27 | 5 | 4 |
| 2026-07-28 | 17 | 11 |
| 2026-07-29 | 7 | 6 |
| 2026-07-30 | 8 | 6 |
| 2026-07-31 | 5 | 5 |
| 2026-08-01 | 2 | 2 |
| 2026-08-02 | 1 | 1 |
| 2026-08-03 | 5 | 4 |
| 2026-08-04 | 8 | 5 |
| 2026-08-05 | 7 | 7 |
| 2026-08-06 | 7 | 6 |
| 2026-08-07 | 3 | 3 |
| 2026-08-08 | 0 | 0 |
| 2026-08-09 | 1 | 1 |
| 2026-08-10 | 1 | 1 |
| 2026-08-11 | 6 | 6 |
| 2026-08-12 | 7 | 6 |
| 2026-08-13 | 12 | 11 |
| 2026-08-14 | 4 | 4 |
| 2026-08-15 | 0 | 0 |
| 2026-08-16 | 1 | 1 |
| 2026-08-17 | 9 | 6 |
| 2026-08-18 | 11 | 9 |
| 2026-08-19 | 9 | 8 |
| 2026-08-20 | 8 | 8 |
| 2026-08-21 | 4 | 3 |
| 2026-08-22 | 0 | 0 |
| 2026-08-23 | 2 | 1 |
| 2026-08-24 | 4 | 4 |
| 2026-08-25 | 12 | 12 |
| 2026-08-26 | 10 | 9 |
| 2026-08-27 | 11 | 11 |
| 2026-08-28 | 9 | 7 |
| 2026-08-29 | 0 | 0 |
| 2026-08-30 | 1 | 1 |
| 2026-08-31 | 11 | 9 |
| 2026-09-01 | 14 | 11 |
| 2026-09-02 | 19 | 11 |
| 2026-09-03 | 12 | 10 |
| 2026-09-04 | 10 | 8 |
| 2026-09-05 | 0 | 0 |
| 2026-09-06 | 1 | 1 |
| 2026-09-07 | 5 | 4 |
| 2026-09-08 | 12 | 12 |
| 2026-09-09 | 18 | 15 |
| 2026-09-10 | 21 | 18 |
| 2026-09-11 | 13 | 12 |
| 2026-09-12 | 0 | 0 |
| 2026-09-13 | 1 | 1 |
| 2026-09-14 | 16 | 15 |
| 2026-09-15 | 32 | 21 |
| 2026-09-16 | 31 | 24 |
| 2026-09-17 | 30 | 22 |
| 2026-09-18 | 22 | 18 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 2 | 2 |
| 2026-09-21 | 25 | 15 |
| 2026-09-22 | 42 | 25 |
| 2026-09-23 | 53 | 26 |
| 2026-09-24 | 33 | 25 |
| 2026-09-25 | 21 | 13 |
| 2026-09-26 | 1 | 1 |
| 2026-09-27 | 2 | 2 |
| 2026-09-28 | 51 | 24 |
| 2026-09-29 | 50 | 33 |
| 2026-09-30 | 50 | 32 |
| 2026-10-01 | 54 | 28 |
| 2026-10-02 | 47 | 21 |
| 2026-10-03 | 6 | 2 |
| 2026-10-04 | 23 | 4 |
| 2026-10-05 | 47 | 22 |
| 2026-10-06 | 63 | 31 |
| 2026-10-07 | 73 | 26 |
| 2026-10-08 | 79 | 29 |
| 2026-10-09 | 33 | 18 |
| 2026-10-10 | 0 | 0 |
| 2026-10-11 | 4 | 3 |
| 2026-10-12 | 38 | 26 |
| 2026-10-13 | 34 | 21 |
| 2026-10-14 | 1 | 1 |
Source breadth
Who published most
Official updates from the most active companies in this view.
| Company | Updates |
|---|---|
| Deel | 77 |
| 62 | |
| OpenAI | 51 |
| Wix | 51 |
| Datadog | 47 |
| Twilio | 47 |
| Redis | 42 |
| SAP | 42 |
Coverage map
Official posts and independent mentions
One story may mention several companies. Bars follow its publication date and count it once in this view.
| Date UTC | Official posts | Independent stories |
|---|---|---|
| 2026-07-17 | 0 | 0 |
| 2026-07-18 | 0 | 0 |
| 2026-07-19 | 1 | 0 |
| 2026-07-20 | 12 | 0 |
| 2026-07-21 | 8 | 0 |
| 2026-07-22 | 4 | 0 |
| 2026-07-23 | 6 | 0 |
| 2026-07-24 | 2 | 0 |
| 2026-07-25 | 1 | 0 |
| 2026-07-26 | 3 | 0 |
| 2026-07-27 | 5 | 0 |
| 2026-07-28 | 17 | 0 |
| 2026-07-29 | 7 | 0 |
| 2026-07-30 | 8 | 0 |
| 2026-07-31 | 5 | 0 |
| 2026-08-01 | 2 | 0 |
| 2026-08-02 | 1 | 0 |
| 2026-08-03 | 5 | 0 |
| 2026-08-04 | 8 | 0 |
| 2026-08-05 | 7 | 0 |
| 2026-08-06 | 7 | 0 |
| 2026-08-07 | 3 | 0 |
| 2026-08-08 | 0 | 0 |
| 2026-08-09 | 1 | 0 |
| 2026-08-10 | 1 | 0 |
| 2026-08-11 | 6 | 0 |
| 2026-08-12 | 7 | 0 |
| 2026-08-13 | 12 | 0 |
| 2026-08-14 | 4 | 0 |
| 2026-08-15 | 0 | 0 |
| 2026-08-16 | 1 | 0 |
| 2026-08-17 | 9 | 0 |
| 2026-08-18 | 11 | 0 |
| 2026-08-19 | 9 | 0 |
| 2026-08-20 | 8 | 0 |
| 2026-08-21 | 4 | 0 |
| 2026-08-22 | 0 | 0 |
| 2026-08-23 | 2 | 0 |
| 2026-08-24 | 4 | 0 |
| 2026-08-25 | 12 | 0 |
| 2026-08-26 | 10 | 0 |
| 2026-08-27 | 11 | 0 |
| 2026-08-28 | 9 | 0 |
| 2026-08-29 | 0 | 0 |
| 2026-08-30 | 1 | 0 |
| 2026-08-31 | 11 | 0 |
| 2026-09-01 | 14 | 0 |
| 2026-09-02 | 19 | 0 |
| 2026-09-03 | 12 | 0 |
| 2026-09-04 | 10 | 0 |
| 2026-09-05 | 0 | 0 |
| 2026-09-06 | 1 | 0 |
| 2026-09-07 | 5 | 0 |
| 2026-09-08 | 12 | 0 |
| 2026-09-09 | 18 | 0 |
| 2026-09-10 | 21 | 0 |
| 2026-09-11 | 13 | 0 |
| 2026-09-12 | 0 | 0 |
| 2026-09-13 | 1 | 0 |
| 2026-09-14 | 16 | 0 |
| 2026-09-15 | 32 | 0 |
| 2026-09-16 | 31 | 0 |
| 2026-09-17 | 30 | 0 |
| 2026-09-18 | 22 | 0 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 2 | 0 |
| 2026-09-21 | 25 | 0 |
| 2026-09-22 | 42 | 0 |
| 2026-09-23 | 53 | 0 |
| 2026-09-24 | 33 | 0 |
| 2026-09-25 | 21 | 0 |
| 2026-09-26 | 1 | 0 |
| 2026-09-27 | 2 | 0 |
| 2026-09-28 | 51 | 0 |
| 2026-09-29 | 50 | 0 |
| 2026-09-30 | 50 | 0 |
| 2026-10-01 | 54 | 0 |
| 2026-10-02 | 47 | 2 |
| 2026-10-03 | 6 | 0 |
| 2026-10-04 | 23 | 1 |
| 2026-10-05 | 47 | 5 |
| 2026-10-06 | 63 | 25 |
| 2026-10-07 | 73 | 18 |
| 2026-10-08 | 79 | 21 |
| 2026-10-09 | 33 | 4 |
| 2026-10-10 | 0 | 3 |
| 2026-10-11 | 4 | 1 |
| 2026-10-12 | 38 | 7 |
| 2026-10-13 | 34 | 14 |
| 2026-10-14 | 1 | 0 |
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
Google Trends shows a traffic bucket for a trending search cluster, not searches for this employer alone. Polymarket markets reflect their own question and trading activity. Neither is a hiring indicator.
Google Trends · USAnthropic
anthropic ai self replication warning
Cluster traffic bucket: 200+ · Oct 13, 2026
Google Trends · USNVIDIA
nvidia stock price
Cluster traffic bucket: 200+ · Oct 13, 2026
Google Trends · USNetflix
is below on netflix good
Cluster traffic bucket: 2000+ · Oct 12, 2026
Google Trends · USGoogle
google fitbit edge fitness tracker
Cluster traffic bucket: 2000+ · Oct 12, 2026
Google Trends · USNetflix
what's on netflix
Cluster traffic bucket: 200+ · Oct 12, 2026
Google Trends · USNetflix
netflix stock
Cluster traffic bucket: 500+ · Oct 12, 2026
Google Trends · USAmazon
amazon stock price
Cluster traffic bucket: 100+ · Oct 12, 2026
Data source: Google Trends and Polymarket. Only exact company-name matches are shown; ambiguous names are excluded.
Source concentration
Explore a publisher
Select one to update the charts and feed
Chronological feed
Latest company stories
1,435 stories · page 70 of 80
Datarails
datarails.com
How Does a Finance Operating System Work?
A step-by-step look at how data moves through a finance operating system, and how the same governed layer serves finance applications, chat-based AI tools, apps finance teams build themselves, and autonomous agents. A finance operating system is the infrastructure that sits between an organization’s raw financial data and the software and AI tools fina
Official company update
VAST Data
vastdata.com
Five Ways to Think About the Future of the Datacenter
Five infrastructure leaders on why AI is redesigning the datacenter from power and cooling to networking and space-based compute.
Official company update
Optibus
blog.optibus.com
Agentic AI Belongs on the Strategic Plan
Every public transit agency has a strategic plan, and it’s genuinely ambitious: grow ridership, close the workforce gap with a stronger team, win the next round of public funding, hit an electrification target, build a service people trust enough to plan their lives around. Those are big, exciting goals, worth getting right. The best agencies […]
Official company update
Supabase
supabase.com
Enterprise-managed auth for the Supabase MCP server
Enterprise IT admins can now manage access to Supabase in Claude centrally through Okta, scoped to each person's existing permissions.
Official company update
VAST Data
vastdata.com
Build AI Factories on a Unified Data Foundation with Cloudera and VAST Data
Power production AI with Cloudera and VAST Data. Build an enterprise AI factory on a unified data foundation to scale compute and storage independently.
Official company update
Redis
redis.io
Efficient Bulk Hash Insertion with Redis 8.10’s HIMPORT
I’m not a Ruby developer, and my code samples might make that clear. However, there are two reasons I’m using Ruby for the examples in this article: A new release of redis-rb. Its support for a new Redis command: HIMPORT. Getting started Establish...
Official company update
Logz.io
logz.io
Logz.io vs. Datadog in 2026: How to Choose the Right Observability Platform
Observability budgets got a lot more scrutiny this year. Finance teams want predictable bills. Engineering teams want tools that catch problems before customers do. And more of them are asking the same question: is Datadog still worth it, or is there a better fit for 2026? We get this question a lot, because we’re one […]
Official company update
Logz.io
logz.io
From Answers to Assets: Open 360 AI Chat Can Now Create Your Alerts and Dashboards
TL;DR: Open 360 AI chat can now do more than investigate and explain. With new Logz.io API skills, the agent can create and manage Open 360 and Cloud SIEM objects, such as alerts and dashboards, directly from the conversation. Find an error pattern worth watching? Ask the agent to create the alert. Need a view […]
Official company update
Lightrun
lightrun.com
Why AI Agent Orchestration Needs Runtime Context Between Agents
Every multi-agent system depends on one agent handing its output to the next, and nothing in the architecture confirms that the handoff carried what it should have. Orchestration adds a failure surface that single-agent architecture doesn’t have: a point between every two agents where one has to trust that the other passed along everything it […]
Official company update
Together AI
together.ai
GLM-5.3 vs. Claude Fable 5 on DeepSWE: Cost, Coding, and Routing
We ran 904 DeepSWE rollouts on GLM-5.3 and Claude Fable 5. A tie on pass@1, but GLM-5.3 wins pass@4 and costs 5.4x less: \$3.99 per rollout vs. \$21.63.
Official company update
Together AI
together.ai
GLM-5.3 vs. GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routing
We ran 904 DeepSWE rollouts on GLM-5.3 and GPT-5.6 Sol. Sol leads pass@1 by 3.7 points; GLM-5.3 wins pass@4 at half the cost, and a GLM-first cascade hits 85.9%.
Official company update
Gong
gong.io
AI won't strip healthcare of humanity, it might save it
The healthcare industry is hesitant to embrace AI, even though it might be the thing that helps create more time for face-to-face patient care.
Official company update
HiBob
hibob.com
Beyond the gatekeeper: Forging the CFO–CHRO partnership
The relationship between HR and Finance teams can often feel like a tug-of-war. Finance is sometimes cast as the ultimate gatekeeper, with “no” as the default response for people-focused projects. HR can get stuck explaining or justifying people decisions after the fact. But the real weight of that dynamic doesn’t only land on HR or […] The post Beyond the g
Official company update
Optibus
blog.optibus.com
Winning the complex Human Tetris in Public Transportation
Why optimizing driver allocation is emerging as the greatest hidden potential for profitability and efficiency Most of the conversation around operational efficiency in public transportation has historically focused on the structural components: creating the best timetables, precisely calibrating trips against ridership, and optimizing blocks and duties. The
Official company update
Aqua Security
aquasec.com
Integrate Aqua and Datadog to Connect Runtime Security with Application Performance
TL;DR AI is compressing the time between vulnerability discovery and exploitation, while security teams still depend on workflows that require people to review alerts and piece together context. A vulnerable or unauthorized image, a runtime policy violation or a change in workload protection can become relevant to application availability before teams unders
Official company update
Lightrun
lightrun.com
Why AI Agent Architecture Needs a Runtime Context Layer
Every AI agent architecture diagram shows the same five layers: perception, memory, reasoning, action, and feedback. Each layer assumes the one before it worked correctly, and none of them can confirm that once the agent runs against live production data. Runtime context is the sixth layer most designs leave out, and it’s the one that […] The pos
Official company update
Intellias
career.intellias.com
Intellias donates UAH 1.5 million for interceptor drones for Ukraine’s Third Army Corps ahead of Independence Day
Запис Intellias donates UAH 1.5 million for interceptor drones for Ukraine’s Third Army Corps ahead of Independence Day спершу з'явиться на Intellias .
Official company update
N-iX
n-ix.com
N-iX named an OpenAI Select Partner to help enterprises move AI into production
N-iX, a global software engineering company that builds and operates AI systems in enterprise production environments, announced that it has been name [...]
Official company update
Free accountOriginal company news
Follow the story to its source.
Explore the charts and previews openly. A free account opens full originals on their verified publisher sites, after an external-link warning.
- 01Explore
News and context stay open
- 02Join for free
No payment for source links
- 03Open source
Full source article
ApplyDjinn registration and opening the source link are free. The destination site may have its own access rules.