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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

30 days

Published by official sources. Dates are shown in UTC.

Updated Oct 9, 2026, 02:32 PM UTC

Official updates

21

Published in this view

Companies publishing

1

Distinct companies in this window

Days with activity

13

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

GitLab official publishing pulse

1 companies · 30 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
2026-09-1000
2026-09-1111
2026-09-1200
2026-09-1300
2026-09-1411
2026-09-1500
2026-09-1611
2026-09-1751
2026-09-1821
2026-09-1900
2026-09-2000
2026-09-2100
2026-09-2221
2026-09-2311
2026-09-2400
2026-09-2500
2026-09-2600
2026-09-2700
2026-09-2811
2026-09-2911
2026-09-3000
2026-10-0100
2026-10-0211
2026-10-0300
2026-10-0400
2026-10-0511
2026-10-0631
2026-10-0700
2026-10-0811
2026-10-0900

Source breadth

Who published most

Official updates from the most active companies in this view.

Official updates by company
CompanyUpdates
GitLab21

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
2026-09-1000
2026-09-1110
2026-09-1200
2026-09-1300
2026-09-1410
2026-09-1500
2026-09-1610
2026-09-1750
2026-09-1820
2026-09-1900
2026-09-2000
2026-09-2100
2026-09-2220
2026-09-2310
2026-09-2400
2026-09-2500
2026-09-2600
2026-09-2700
2026-09-2810
2026-09-2910
2026-09-3000
2026-10-0100
2026-10-0210
2026-10-0300
2026-10-0400
2026-10-0510
2026-10-0630
2026-10-0700
2026-10-0810
2026-10-0900

Listed-company context

GitLab: stock and observed roles

+5.4%

Stock series is indexed to 100 at its first available point. Open roles are ApplyDjinn observations; the lines have different units and do not imply causation.

GitLab stock and roles
DateStock indexObserved roles
2026-09-03100.0125
2026-09-04101.1115
2026-09-05101.1115
2026-09-06101.1110
2026-09-0895.6
2026-09-0994.0
2026-09-1095.999
2026-09-1195.3110
2026-09-1295.3111
2026-09-1395.3107
2026-09-1499.9109
2026-09-1599.6109
2026-09-1698.9109
2026-09-17101.9108
2026-09-1899.8104
2026-09-1999.899
2026-09-2099.896
2026-09-21101.092
2026-09-2299.095
2026-09-2399.488
2026-09-2498.693
2026-09-2595.081
2026-09-2698.686
2026-09-2795.084
2026-09-2893.784
2026-09-2994.786
2026-09-3095.893
2026-10-01101.392
2026-10-02101.086
2026-10-03101.399
2026-10-04101.095
2026-10-05104.495
2026-10-06104.797
2026-10-07105.498
2026-10-08105.4103

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 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.

All signalsGoogle TrendsPolymarket

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

Data source: Google Trends and Polymarket. Only exact company-name matches are shown; ambiguous names are excluded.

Chronological feed

Latest about GitLab

1 stories · page 1 of 1

GitLab
GitLab

about.gitlab.com

Track organization-wide security risk in one dashboard

If you run application security across more than one top-level group, getting a single organization-wide view of your risk has meant manually pulling together data. That is operational work rebuilt in spreadsheets and one-off scripts every time someone asks. This manual work is easy to get wrong, and is often out of date the moment it is published. Every hou

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