PolymarketRobinhood
Will Robinhood Chain launch a token by ___?
Approx. volume: 19996 · Oct 15, 2026
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Observation window
90 days
Published by official sources. Dates are shown in UTC.
Updated Oct 15, 2026, 01:36 PM UTC
Official updates
1,453
Published in this view
Companies publishing
92
Distinct companies in this window
Largest source share
6%
Of observed posts, from one company
Independent stories
114
4 verified US tech publishers
Google Trends signals
19
Matched search clusters, US + Israel
Open prediction markets
212
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 |
|---|---|---|
| 2026-07-18 | 0 | 0 |
| 2026-07-19 | 1 | 1 |
| 2026-07-20 | 13 | 7 |
| 2026-07-21 | 8 | 8 |
| 2026-07-22 | 4 | 3 |
| 2026-07-23 | 7 | 7 |
| 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 | 8 | 7 |
| 2026-07-30 | 8 | 6 |
| 2026-07-31 | 7 | 6 |
| 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 | 7 | 7 |
| 2026-08-12 | 7 | 6 |
| 2026-08-13 | 14 | 13 |
| 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 | 5 | 4 |
| 2026-08-22 | 0 | 0 |
| 2026-08-23 | 2 | 1 |
| 2026-08-24 | 4 | 4 |
| 2026-08-25 | 12 | 12 |
| 2026-08-26 | 13 | 10 |
| 2026-08-27 | 11 | 11 |
| 2026-08-28 | 10 | 8 |
| 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 | 11 | 9 |
| 2026-09-05 | 0 | 0 |
| 2026-09-06 | 1 | 1 |
| 2026-09-07 | 6 | 5 |
| 2026-09-08 | 12 | 12 |
| 2026-09-09 | 18 | 15 |
| 2026-09-10 | 21 | 18 |
| 2026-09-11 | 15 | 14 |
| 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 | 23 | 18 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 3 | 2 |
| 2026-09-21 | 26 | 16 |
| 2026-09-22 | 44 | 26 |
| 2026-09-23 | 56 | 27 |
| 2026-09-24 | 33 | 25 |
| 2026-09-25 | 21 | 13 |
| 2026-09-26 | 1 | 1 |
| 2026-09-27 | 2 | 2 |
| 2026-09-28 | 54 | 26 |
| 2026-09-29 | 50 | 33 |
| 2026-09-30 | 50 | 32 |
| 2026-10-01 | 57 | 29 |
| 2026-10-02 | 48 | 21 |
| 2026-10-03 | 8 | 3 |
| 2026-10-04 | 23 | 4 |
| 2026-10-05 | 49 | 23 |
| 2026-10-06 | 65 | 32 |
| 2026-10-07 | 74 | 27 |
| 2026-10-08 | 82 | 31 |
| 2026-10-09 | 36 | 20 |
| 2026-10-10 | 0 | 0 |
| 2026-10-11 | 4 | 3 |
| 2026-10-12 | 42 | 28 |
| 2026-10-13 | 46 | 28 |
| 2026-10-14 | 44 | 23 |
| 2026-10-15 | 15 | 8 |
Source breadth
Who published most
Official updates from the most active companies in this view.
| Company | Updates |
|---|---|
| Deel | 83 |
| 72 | |
| OpenAI | 56 |
| Wix | 51 |
| Twilio | 49 |
| Datadog | 47 |
| SAP | 46 |
| Redis | 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 |
|---|---|---|
| 2026-07-18 | 0 | 0 |
| 2026-07-19 | 1 | 0 |
| 2026-07-20 | 13 | 0 |
| 2026-07-21 | 8 | 0 |
| 2026-07-22 | 4 | 0 |
| 2026-07-23 | 7 | 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 | 8 | 0 |
| 2026-07-30 | 8 | 0 |
| 2026-07-31 | 7 | 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 | 7 | 0 |
| 2026-08-12 | 7 | 0 |
| 2026-08-13 | 14 | 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 | 5 | 0 |
| 2026-08-22 | 0 | 0 |
| 2026-08-23 | 2 | 0 |
| 2026-08-24 | 4 | 0 |
| 2026-08-25 | 12 | 0 |
| 2026-08-26 | 13 | 0 |
| 2026-08-27 | 11 | 0 |
| 2026-08-28 | 10 | 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 | 11 | 0 |
| 2026-09-05 | 0 | 0 |
| 2026-09-06 | 1 | 0 |
| 2026-09-07 | 6 | 0 |
| 2026-09-08 | 12 | 0 |
| 2026-09-09 | 18 | 0 |
| 2026-09-10 | 21 | 0 |
| 2026-09-11 | 15 | 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 | 23 | 0 |
| 2026-09-19 | 0 | 0 |
| 2026-09-20 | 3 | 0 |
| 2026-09-21 | 26 | 0 |
| 2026-09-22 | 44 | 0 |
| 2026-09-23 | 56 | 0 |
| 2026-09-24 | 33 | 0 |
| 2026-09-25 | 21 | 0 |
| 2026-09-26 | 1 | 0 |
| 2026-09-27 | 2 | 0 |
| 2026-09-28 | 54 | 0 |
| 2026-09-29 | 50 | 0 |
| 2026-09-30 | 50 | 0 |
| 2026-10-01 | 57 | 0 |
| 2026-10-02 | 48 | 2 |
| 2026-10-03 | 8 | 0 |
| 2026-10-04 | 23 | 1 |
| 2026-10-05 | 49 | 5 |
| 2026-10-06 | 65 | 25 |
| 2026-10-07 | 74 | 18 |
| 2026-10-08 | 82 | 21 |
| 2026-10-09 | 36 | 4 |
| 2026-10-10 | 0 | 3 |
| 2026-10-11 | 4 | 1 |
| 2026-10-12 | 42 | 7 |
| 2026-10-13 | 46 | 14 |
| 2026-10-14 | 44 | 10 |
| 2026-10-15 | 15 | 3 |
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.
PolymarketRobinhood
Tokenized stocks available on Robinhood by ___?
Approx. volume: 8099 · Oct 15, 2026
PolymarketRobinhood
What will Robinhood Markets, Inc. (HOOD) hit Week of October 12 2026?
Approx. volume: 17956 · Oct 15, 2026
PolymarketRobinhood
What will Robinhood Markets, Inc. (HOOD) hit in October 2026?
Approx. volume: 46605 · Oct 15, 2026
PolymarketAirbnb
What will Airbnb, Inc. (ABNB) hit Week of October 12 2026?
Approx. volume: 7844 · Oct 15, 2026
PolymarketAirbnb
Airbnb (ABNB) Up or Down on October 15?
Approx. volume: 252 · Oct 15, 2026
PolymarketAirbnb
What will Airbnb, Inc. (ABNB) hit in October 2026?
Approx. volume: 29740 · Oct 15, 2026
PolymarketPinterest
Will OpenAI acquire Pinterest in 2026?
Approx. volume: 32025 · Oct 15, 2026
Data source: Google Trends and Polymarket. Only exact company-name matches are shown; ambiguous names are excluded.
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1,453 stories · page 77 of 81
Together AI
together.ai
Kimi K3: the complete developer guide
Kimi K3 is the first open 3T-class model. See how it benchmarks, what it costs, and how to call it on the Together AI API, with copy-paste code examples.
Official company update
Netlify
netlify.com
Ask mode: consult an agent before making changes
Meet Ask mode for Netlify Agent Runners: a fast, genuinely read-only way to explore your codebase, query your data, investigate issues, and understand your project before making changes.
Official company update
Transmit Security
transmitsecurity.com
It’s always been about visibility, but Understanding AI is an entirely new security category.
Every serious conversation about AI security eventually arrives at the same realization: the traffic hitting your applications no longer comes from only humans and the bots you already know how to classify. A third population has arrived:  AI agents that are acting on behalf of legitimate customers, researching products, comparing rates, assembling cart
Official company update
Geniusee
geniusee.com
How to build a compliant fintech SaaS platform in 2026
A fintech product fails commercially for 1 of 2 reasons: it takes 14 months to onboard a single regulated enterprise client, or the underwriting logic that worked for 500 merchants collapses at 50,000. The market pressure is real. According toMarketintelo’s embedded finance vertical SaaS market report, the global embedded finance vertical SaaS market was valued at $51.0 billion in 2025 and is projected to reach $253.7 billion by 2034, expanding at a 19.2% CAGR. The same analysis notes that platforms integrating at least 1 embedded financial product see net revenue retention above 125%, against roughly 105% for pure-play software vendors. That gap is why vertical SaaS companies can offer lending and payment processing as core products rather than as integration tickets, and why many SaaS teams that started in the fintech space now describe themselves as financial infrastructure. - Why financial institutions are moving off legacy systems, and what breaks during migration - The reference architecture behind a production SaaS platform in finance: API layer, ledger, embedded fintech rails, underwriting, risk engine
Official company update
Supabase
supabase.com
Introducing Supabase Evals
Our open-source benchmark for how well AI coding agents build with Supabase.
Official company update
Geniusee
geniusee.com
Local LLM use cases: What running LLMs locally solves for your business
Companies experimenting with AI today rely on cloud-based LLMs. They send data to a remote server, get a response, pay per token, and repeat. That works fine at low volume. At production scale, in regulated industries, or with sensitive data, it creates real problems: cost, compliance, and latency chief among them. Running LLMs locally solves all three. In 2023, Gartner predicted that over 80% of enterprises would deploy generative AI APIs or applications by 2026. Now, over 78% of Fortune 500 companies have at least one LLM-powered workflow in production. - Local LLMs keep all data on your infrastructure, which removes compliance risk for HIPAA, GDPR, and CCPA-regulated workloads. - On-premises inference costs around $0.11 per million tokens vs $2.00 for cloud APIs, an 18x difference at production volume.
Official company update
King Group
kinggroup.io
Лише 3,3% кандидатів отримують офер: що рекрутингова аналітика King Group говорить про новий ринок праці
King Group реалізує численні проєкти у сфері iGaming на ринках України, Європи та США. Ми завжди в пошуку перспективних ідей і людей, які здатні перетворити ці ідеї на реальність.
Official company update
Sysdig
webflow.sysdig.com
Introducing the Runtime Remediation Skill for headless cloud security
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Official company update
Optibus
blog.optibus.com
Optibus wins WRI India Better E-Bus Challenge 2022
Optibus to collaborate with Delhi Transport Corporation to optimize the operations of 150 electric buses  Optibus, the end-to-end, cloud-native software platform for public transportation planning and operations, has been declared as one of the winners of the Better e-Bus Challenge 2022, organized by the World Resources Institute India (WRI) with suppor
Official company update
Optibus
blog.optibus.com
Enel X and Optibus Partner on an End-to-End eBus Operations Solution
The partnership integrates Optibus’ EV management software with Enel X’s eBus and charging infrastructure    Enel X, the Enel Group’s advanced energy solutions business line, and Optibus, an AI software platform that powers complex transit operations in over 500 cities worldwide, announced their partnership for the creation of an
Official company update
Optibus
blog.optibus.com
Free Scooters, Electric Bikes And Hoverboards at Optibus
  At Optibus, we believe that our technology is making a difference by optimizing transportation systems to create a more efficient, green, commuter-friendly world. What kind of company would we be if we didn’t live out that philosophy ourselves? Externally, we are helping our clients provide the best possible transportation services. Internally, we are
Official company update
Fullpath
fullpath.com
How Can My Dealership Get More Leads From Our Website?
Most dealerships pour money into getting people to their website, then lose the overwhelming majority of that traffic the moment it arrives. Visitors browse a few vehicles, don't find an obvious reason to identify themselves, and leave – anonymous, untracked, and gone. So when a dealer asks how to get more leads from their website, the instinct is usually to
Official company update
Logz.io
logz.io
What is Cloud-Based SIEM for Security Teams
When an alert fires at 2 a.m., responders need context more than another dashboard. A suspicious authentication event may begin in an identity provider, touch a cloud control plane, appear in an application log, and end with an unusual data transfer. If each signal lives in a separate tool, analysts spend the first part of […]
Official company update
Sysdig
webflow.sysdig.com
Introducing the SysQL Skill: Ask your security graph anything.
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Official company update
Weaviate
weaviate.io
Building Foundry: AI isn’t replacing creativity, it’s removing friction
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Gong
gong.io
3 ways to use Gong Assistant to improve customer relationships
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Official company update
Aqua Security
aquasec.com
What Can the World Cup Teach Us About Stopping Agentic AI Attacks?
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Official company update
Sombra
sombrainc.com
Salesforce Agentforce vs. Custom AI Agents: Enterprise Evaluation Framework
In the real world, most enterprises end up hybrid: Agentforce for standard scenarios, custom agents for the two or three processes that differentiate the business. Agentforce 3’s MCP and Agent2Agent support now lets both run in one Salesforce-centered architecture. Probably, somewhere in your organization, a leadership deck already has a slide about AI agents in Salesforce. The debate that follows usually splits the room. One camp wants Agentforce because it ships with the platform. The other wants a custom build because your quoting process, approval chains, or compliance rules have never fit a standard tool. The Agentforce vs. custom AI agents decision deserves better than a turf war. Through our work with clients, Sombra has seen that as AI agents improve productivity, they also drive up costs and expose weak risk controls. As a result, many businesses evaluate them more cautiously, and some even decide against adopting them altogether. This article provides a five-pillar framework for making the right decision for your AI agent project: platform fit, governance, speed and scalability, cost, and security. It reflects our experience delivering enterprise Salesforce solutions at Sombra, where both paths (and hybrids of the two) show up in production.
Official company update
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