LEADIY

LEADIY
HIRING
PULSE

Observed opportunities
412
Organizations
331
Observed window
30
VERIFIED FRESH Observed through Verified at

Observed 3 Aug — 1 Sept 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 observed vacancy counts across 3 Aug — 1 Sept 2026. Small daily groups are withheld.
Signals in period
412
3 Aug — 1 Sept 2026
Average per calendar day
13.7
5 visible day buckets · 331 distinct organizations
Latest observed day
72
31 Aug 2026
Selected date 31 Aug 2026 72 signals
Accessible values for the selected chart
DateValue
27 Aug 20267
28 Aug 2026175
29 Aug 2026138
30 Aug 202620
31 Aug 202672

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 / LLM15838.3%
02Next.js13532.8%
03React12630.6%
04WordPress12530.3%
05TypeScript8721.1%
06PostgreSQL7718.7%
07Python6816.5%
08Node.js5613.6%
09Supabase5212.6%
10PHP389.2%

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. Observed412
  2. Technology identified408
  3. Evidence verified408
  4. Qualified opportunity148

The gaps are part of the data.

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

Technology classification
40899% of the sample
Organization coverage
412100% of the sample
Fit-score coverage
412100% of the sample
Evidence-confidence coverage
412100% 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, edition 2026-W36: 412 agency projects, contracts, RFPs and selected hiring signals across 3 Aug — 1 Sept 2026. Leading mentions: AI / LLM (158), Next.js (135), React (126). Observed through: 2026-09-01; verified at: 2026-09-01T11:00:04.036Z. Dataset: https://leadiy.co/hiring-pulse/#dataset, CC BY 4.0. Source: https://leadiy.co/hiring-pulse/?period=30d&metric=count
RESEARCH / EDITION 2026-W36

Research from this edition

Three evidence-led readings of the same 340-opportunity snapshot. Each keeps the denominator and the limits beside the claim.

Browse all insights
01 / WORK FORMAT

Project work is 3.75× employment in this snapshot

Project and contract briefs account for 240 of 340 observed opportunities. 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

n8n appears in 33 of 340 opportunities. 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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