PolymarketRoblox
Epic Games vs Roblox - higher valuation on December 31?
Approx. volume: 2629 · Oct 15, 2026
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Observation window
90 days
Published by official sources. Dates are shown in UTC.
Updated Oct 15, 2026, 09:51 AM UTC
Official updates
1,426
Published in this view
Companies publishing
91
Distinct companies in this window
Largest source share
5%
Of observed posts, from one company
Independent stories
112
4 verified US tech publishers
Google Trends signals
20
Matched search clusters, US + Israel
Open prediction markets
215
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 | 25 | 15 |
| 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 | 55 | 28 |
| 2026-10-02 | 48 | 21 |
| 2026-10-03 | 6 | 2 |
| 2026-10-04 | 23 | 4 |
| 2026-10-05 | 47 | 22 |
| 2026-10-06 | 64 | 31 |
| 2026-10-07 | 74 | 27 |
| 2026-10-08 | 81 | 30 |
| 2026-10-09 | 36 | 20 |
| 2026-10-10 | 0 | 0 |
| 2026-10-11 | 4 | 3 |
| 2026-10-12 | 41 | 27 |
| 2026-10-13 | 45 | 27 |
| 2026-10-14 | 41 | 22 |
| 2026-10-15 | 2 | 2 |
Source breadth
Who published most
Official updates from the most active companies in this view.
| Company | Updates |
|---|---|
| Deel | 77 |
| 69 | |
| OpenAI | 56 |
| Wix | 51 |
| Twilio | 49 |
| Datadog | 47 |
| SAP | 44 |
| 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 | 25 | 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 | 55 | 0 |
| 2026-10-02 | 48 | 2 |
| 2026-10-03 | 6 | 0 |
| 2026-10-04 | 23 | 1 |
| 2026-10-05 | 47 | 5 |
| 2026-10-06 | 64 | 25 |
| 2026-10-07 | 74 | 18 |
| 2026-10-08 | 81 | 21 |
| 2026-10-09 | 36 | 4 |
| 2026-10-10 | 0 | 3 |
| 2026-10-11 | 4 | 1 |
| 2026-10-12 | 41 | 7 |
| 2026-10-13 | 45 | 14 |
| 2026-10-14 | 41 | 10 |
| 2026-10-15 | 2 | 1 |
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.
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Data source: Google Trends and Polymarket. Only exact company-name matches are shown; ambiguous names are excluded.
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Latest official updates
1,426 stories · page 72 of 80
Redis
redis.io
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Official company update
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How Do Dealerships Use AI in Marketing?
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Edvantis
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9 Real Estate Software Integrations That Elevate CX
Real estate markets are beginning to regain momentum after several subdued years. Transaction volumes and prices are gradually improving despite persistently high mortgage rates. Yet recovery does not make client acquisition easier. Buyers and sellers have become more discerning with their choice of an agent, and they’re often swayed by the customer experience (CX) the company offers. Service quality then depends heavily on how consistently the agent communicates and responds throughout a long decision cycle. Expectations are already visible: 35% of clients said agents could improve their communication, even though 45% identified responsiveness as a positive part of their experience. Personalization carries just about the same weight. Around 74% of customers expect real estate businesses to tailor their experience, while 69% are willing to pay more when that experience meets a higher standard.
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Team8
team8.vc
Team8 Announces $365 Million in New Capital
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Geniusee
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VMware migration services cost: How AWS OLA and MAP funding work
When people ask me about moving from VMware to AWS and actual migration costs, they rarely start with a technical question. Instead, I hear something like: > “We know we’re overpaying for VMware and licenses. We know AWS is probably where we should end up. But how do we turn that into real numbers and a real plan, not just a deck?” If you recognize yourself in that sentence, you’re exactly the audience AWS had in mind when they created Optimization and Licensing Assessment (OLA) and Migration Acceleration Program (MAP). Both exist because rising VMware licensing costs push teams to price out VMware alternatives long before they have the data to properly compare them. On high‑level marketing slides, this looks linear: run an OLA, gather data, join MAP, secure funding, migrate, celebrate. In real projects, OLA and MAP are more like a pair of frameworks with their own boundaries, prerequisites, and technical details, mainly when your world revolves around VMware, and you’re trying to decide how aggressively to modernize.
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MongoDB
www.mongodb.com
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MongoDB
www.mongodb.com
MongoDB Brings Live Operational Data to the Agentic Coding Stack
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Logz.io
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netlify.com
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DataArt Named an OpenAI Select Partner
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Weaviate
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Official company update
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