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LEADIY
HIRING
PULSE

Observed opportunities
428in the last 30 days
All observed opportunities
1,682overall
Organizations
358
Observed window
30
VERIFIED FRESH Observed through Verified at

Observed 17 Sept — 16 Oct 2026

Change the window or lens without mixing unlike measures.

Period
Metric
Methodology Deduplicated · comparable groups only · aggregate
DAILY SIGNAL VOLUME Vacancy signals by first observed date
Hiring Pulse time series Daily first-observed vacancy counts across 17 Sept — 16 Oct 2026. Verified days with no new source rows are shown as 0; days without a successful source check remain unavailable; small daily groups are withheld.
Signals in period
428
17 Sept — 16 Oct 2026
Average per verified day
14.3
verified 30/30 · with observations 21 · zero 9 · 358 distinct organizations
Latest observed day
8
16 Oct 2026
Selected date 16 Oct 2026 8 signals
Accessible values for the selected chart
DateValue
17 Sept 20260
18 Sept 20260
19 Sept 2026<5
20 Sept 2026<5
21 Sept 20269
22 Sept 202623
23 Sept 202636
24 Sept 202626
25 Sept 202637
26 Sept 202644
27 Sept 202664
28 Sept 202650
29 Sept 202647
30 Sept 20260
1 Oct 20260
2 Oct 20260
3 Oct 20260
4 Oct 20260
5 Oct 20260
6 Oct 202610
7 Oct 20267
8 Oct 202613
9 Oct 20269
10 Oct 20268
11 Oct 20260
12 Oct 2026<5
13 Oct 20269
14 Oct 20268
15 Oct 20268
16 Oct 20268

Demand is a set of overlapping layers.

One opportunity may mention several technologies. Counts therefore measure normalized mentions inside the sample and are not mutually exclusive.

Cite this edition
Technology mentions in the current Leadiy Hiring Pulse sample
RankTechnologySignalsShare of sample
01AI / LLM25559.6%
02Python17140%
03React12429%
04TypeScript11426.6%
05PostgreSQL10825.2%
06AWS9822.9%
07Docker9722.7%
08Next.js9321.7%
09FastAPI9021%
10Node.js7517.5%

Only aggregate buckets with at least five observations are published. Personal details and individual records never appear in this dataset.

Demand becomes useful when the evidence survives.

Each layer narrows the observed sample using normalized technology, source evidence and the current agency-fit threshold. It describes this sample, not universal market quality.

  1. Observed428
  2. Technology identified426
  3. Evidence verified414
  4. Qualified opportunity164

The gaps are part of the data.

Pulse exposes sample limits instead of converting missing fields into false certainty.

Technology classification
42699.5% of the sample
Organization coverage
428100% of the sample
Fit-score coverage
428100% of the sample
Evidence-confidence coverage
428100% of the sample
Trend baseline
Not readyAt least three snapshots spanning 14 days are required before trend claims appear.

Cite the snapshot, not a marketing claim.

Use the dated permalink and keep the scope attached to the number. The JSON endpoint contains the same aggregate-only snapshot used on this page.

Leadiy Hiring Pulse, live 30d view: 428 agency projects, contracts, RFPs and selected hiring signals across 17 Sept — 16 Oct 2026. n8n appeared in 62 of 428 observations (14.5%). Leading mentions: AI / LLM (255), Python (171), React (124). Observed through: 2026-10-16; verified at: 2026-10-16T16:00:10.177Z. Dataset: https://leadiy.co/hiring-pulse/#dataset, CC BY 4.0. Source: https://leadiy.co/hiring-pulse/?period=30d&metric=count
FROZEN RESEARCH SNAPSHOT / 31 AUG 2026 · n=340

Research from the fixed n=340 snapshot

These articles analyze a frozen 30-day extract verified on 31 August. The live counters above continue to change; the articles' evidence base does not.

Browse all insights
01 / WORK FORMAT

Project work is 3.75× employment in this snapshot

The fixed extract contains 240 project or contract briefs versus 64 employment signals. The analysis explains what that ratio can—and cannot—say.

Read the analysis
02 / STACK SIGNAL

WordPress and React are separated by two opportunities

WordPress appears in 104 opportunities and React in 106. A two-signal gap shows why buyer intent matters more than a stack-war headline.

Read the analysis
03 / AUTOMATION

n8n appears in nearly one in ten opportunities

The fixed extract contains 33 n8n mentions (9.7%). The analysis separates a visible automation signal from an unsupported market-size claim.

Read the analysis

How this edition was built

The current edition uses imported vacancy and project observations only. Direct leads are excluded from the public dataset because they may contain personal contact data or do-not-contact instructions.

Scope

The sample combines agency projects, contracts, public RFPs and selected hiring signals collected by Leadiy's configured search. It does not estimate the entire labor market.

Normalization

Stable record identities reduce duplicates. Technology mentions are normalized into controlled public groups, and one observation may contribute to more than one technology.

Privacy

The public endpoint publishes aggregates only, suppresses groups with fewer than five observations, and never returns names, email addresses, phone numbers, URLs, outreach copy or raw source rows.

Freshness

The page displays the last successful verified snapshot. Failed source checks keep the last good edition visible and change its status to delayed instead of silently presenting old data as live.

Provenance & reuse

The aggregate dataset identifier is https://leadiy.co/hiring-pulse/#dataset. Leadiy-published aggregates are licensed under CC BY 4.0; underlying source posts retain their original terms. Read the full methodology.

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