Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-06-23 → 2026-09-20, SGT) · 3-5 yrs · Fullstack
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Who is posting

Grouped by UEN, Singapore's legal-entity number — two spellings of one employer are one row. Per-employer figures are withheld below 5 postings: one posting's applicant count is not a company's character, and a disclosure rate over three postings says nothing about its policy. "Applications/day" divides each posting's applicant count by how long it had been listed, then takes the median across the employer's postings.

EmployerTypePostingsOn board nowApplications/dayStates pay
SCIENTEC CONSULTING PTE. LTD.Consulting 3412 0.30 100.0% (34/34)
FLINTEX CONSULTING PTE. LTD.Consulting 266 0.08 100.0% (26/26)
INTUIT RECRUITMENT PTE. LTD.Other 2612 0.07 100.0% (26/26)
VINOVA PTE. LTD.Consulting 199 0.46 100.0% (19/19)
ITCAN PTE. LIMITEDLocal Tech 188 0.11 100.0% (18/18)
USER EXPERIENCE RESEARCHERS PTE. LTD.Consulting 113 0.26 100.0% (11/11)
NEXBRIDGE RECRUITMENT PTE. LTD.Other 1010 0.50 100.0% (10/10)
ACTIVATE INTERACTIVE PTE LTDStartup 85 0.13 100.0% (8/8)
CAPGEMINI SINGAPORE PTE. LTD.Local Tech 72 0.44 100.0% (7/7)
FPT ASIA PACIFIC PTE. LTD.Local Tech 73 0.30 100.0% (7/7)
RECRUIT EXPRESS PTE LTDOther 70 0.09 100.0% (7/7)
HAYS SPECIALIST RECRUITMENT PTE. LTD.Other 64 0.50 100.0% (6/6)
MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTDOther 62 0.13 100.0% (6/6)
RAPSYS TECHNOLOGIES PTE. LTD.Other 61 0.25 100.0% (6/6)
BEATHCHAPMAN (PTE. LTD.)Other 52 1.00 100.0% (5/5)
ELLIOTT MOSS CONSULTING PTE. LTD.Consulting 53 0.40 100.0% (5/5)
IDC TECHNOLOGIES (SINGAPORE) PTE. LTD.Startup 51 0.20 100.0% (5/5)
PERCEPT SOLUTIONS PTE. LTD.Consulting 52 0.27 100.0% (5/5)
PERSOL SINGAPORE PTE. LTD.Other 52 0.38 100.0% (5/5)
TRINITY CONSULTING SERVICES PTE. LTD.Consulting 52 0.32 100.0% (5/5)
WEBSPARKS PTE. LTD.Consulting 52 0.38 100.0% (5/5)
ARYAN SOLUTIONS PTE. LTD.Consulting 43 —(n=4) —(n=4)
DADACONSULTANTS PTE. LTD.Consulting 43 —(n=4) —(n=4)
DCI CONSULTANTS PRIVATE LIMITEDConsulting 41 —(n=4) —(n=4)
MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.Other 41 —(n=4) —(n=4)

By employer type

Consulting194Other170Local Tech61Startup32Bank & FinTech6MNC1

Type is derived from the company's SSIC industry code and headcount, not self-declared — read it as a bucket, not a badge.

2. How long postings stay up

30 days
Median, closed postings
281
Postings measured
183
Still up, not measured

This is how long closed postings stayed up — not how long a posting lasts. A posting still on the board has no end date, so it cannot be counted, and the ones that linger are exactly the ones missing. The figure therefore runs short, and the 183 still up are the size of what it cannot see. Resolution is one day: collection is a daily batch.

Listed forPostingsShare
<7 days00.0%
7-14 days62.1%
15-30 days14049.8%
30-60 days13548.0%
60+ days00.0%

Postings worth a second look

Of 183 postings on the board, 0.0% have been listed over 60 days (0) and 15.3% have been reposted at least once (28). Signals, not verdicts — a genuinely hard-to-fill role looks the same from outside as a listing nobody intends to close.

3. How contested

Median applications and views per day, by discipline, over the trailing 90 days. Both counters are cumulative totals read at collection time, so they are divided by how long each posting had been listed — otherwise the figure measures how old a posting is rather than how contested. Withheld below 5 postings.

DisciplinePostingsApplications/dayViews/dayApply rate
Fullstack464 0.37 5.89 7.9%

These are snapshots, not trends. Each collection overwrites the view and application counters, so no history is kept — "applications this week" and "competition over time" are questions this system cannot answer, and nothing here should be read as movement.

Numbers computed by SQL from public MyCareersFuture data; data is refreshed daily, so it lags the live market by up to 24h. Methodology: docs/03-data-model.md · data freshness · Compliance: aggregate statistics only, no personal data.