Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-08-08 → 2026-11-05, SGT) · 0-2 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
RECRUIT EXPERT PTE. LTD.Other 278 0.13 100.0% (27/27)
INTUIT RECRUITMENT PTE. LTD.Other 72 0.23 100.0% (7/7)
JOBSTER PRIVATE LTD.Other 73 0.33 100.0% (7/7)
TIKTOK PTE. LTD.Local Tech 51 1.23 100.0% (5/5)
GOOGLE ASIA PACIFIC PTE. LTD.Local Tech 41 —(n=4) —(n=4)
HELIUS TECHNOLOGIES PTE. LTD.Consulting 41 —(n=4) —(n=4)
ACTIVATE INTERACTIVE PTE LTDStartup 32 —(n=3) —(n=3)
JOBLINE RESOURCES PTE. LTD.Other 31 —(n=3) —(n=3)
PERSOL OUTSOURCING SINGAPORE PTE. LTD.Consulting 30 —(n=3) —(n=3)
CMC-APAC PRIVATE LIMITEDStartup 20 —(n=2) —(n=2)
COMBUILDER PTE LTDConsulting 20 —(n=2) —(n=2)
GMP TECHNOLOGIES (S) PTE LTDOther 20 —(n=2) —(n=2)
KEYSIGHT TECHNOLOGIES SINGAPORE (SALES) PTE. LTD.Other 20 —(n=2) —(n=2)
MAESTRO HUMAN RESOURCE PTE. LTD.Other 21 —(n=2) —(n=2)
MAVERICKS CONSULTING PTE. LTD.Consulting 21 —(n=2) —(n=2)
MINDTECK SINGAPORE PTE LTDLocal Tech 21 —(n=2) —(n=2)
NINJA CODING HOUSE PTE. LTD.Other 21 —(n=2) —(n=2)
RAPSYS TECHNOLOGIES PTE. LTD.Other 21 —(n=2) —(n=2)
RED ALPHA CYBERSECURITY PTE. LTD.Consulting 21 —(n=2) —(n=2)
TALENTSIS PTE. LTD.Startup 21 —(n=2) —(n=2)
TRINAX PRIVATE LIMITEDLocal Tech 21 —(n=2) —(n=2)
WEBSPARKS PTE. LTD.Consulting 21 —(n=2) —(n=2)
1M R&D PTE. LTD.Startup 11 —(n=1) —(n=1)
A*STAR RESEARCH ENTITIESOther 10 —(n=1) —(n=1)
ADECCO PERSONNEL PTE LTDOther 10 —(n=1) —(n=1)

By employer type

Other82Consulting37Startup18Local Tech17Bank & FinTech2Government1

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

31 days
Median, closed postings
156
Postings measured
57
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 57 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 days138.3%
15-30 days5535.3%
30-60 days8856.4%
60+ days00.0%

Postings worth a second look

Of 49 postings on the board, 0.0% have been listed over 60 days (0) and 32.7% have been reposted at least once (16). 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
Fullstack157 0.54 7.40 8.5%

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.