Tech Demand

What is worth learning · reported week 2026-W37 (last completed ISO week, SGT) · 0-2 yrs · Fullstack
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Demand ranking

17 enriched SWE postings in 2026-W37. Share = postings mentioning the technology ÷ that number — postings still awaiting enrichment are excluded from the denominator, so a processing backlog cannot depress every share at once. The chart shows the top 15; the table in section 3 lists the top 30.

javascript12react12nodejs11sql8python7typescript7vue7angular6postgresql6csharp5go5java5aws4git4mssql4

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
nodejs64.7%+24.2pp11
react70.6%+10.8pp12

Cooling down

TechnologyShareChangePostings
javascript70.6%-0.7pp12

Change is in percentage points of share, not relative percent: a technology going from 1 to 3 postings would otherwise read as +200% and top the board. Boards consider every technology above the bar, not only the 30 the table below shows.

3. Salary premium and entry-friendliness

Premium compares the median advertised monthly salary of postings mentioning a technology against the overall median, over the trailing 90 days. Baseline: S$5250, the median of 143 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (143 of 143, in any unit); the rest hide it, and no figure here describes them. Entry-friendly is computed over the same 90-day window. Premium mixes seniority in (senior roles name more infrastructure); pick an experience band above to compare within one. Entry-friendly = the share of postings mentioning the technology that ask for at most 2 years' experience, or are Intern/Junior roles with no stated requirement. The table lists the top 30 technologies by postings.

TechnologyKindPostingsShareSalary premiumEntry-friendly
javascriptlanguage1270.6% +9.5% 100.0%
reactframework1270.6% +14.3% 100.0%
nodejslanguage1164.7% +14.3% 100.0%
sqllanguage847.1% -4.8% 100.0%
pythonlanguage741.2% +9.5% 100.0%
typescriptlanguage741.2% +14.3% 100.0%
vueframework741.2% +9.5% 100.0%
angularframework635.3% +1.4% 100.0%
postgresqldatabase635.3% +4.8% 100.0%
csharplanguage529.4% -14.3% 100.0%
golanguage529.4% +37.1% 100.0%
javalanguage529.4% +7.6% 100.0%
awscloud423.5% +14.3% 100.0%
gittool423.5% -7.6% 100.0%
mssqldatabase423.5% —(n=19) 100.0%
dockertool317.6% +14.3% 100.0%
kubernetestool317.6% +9.5% 100.0%
llmai317.6% +19.0% 100.0%
mysqldatabase317.6% -4.8% 100.0%
azurecloud211.8% +1.4% 100.0%
clickhousedatabase211.8% —(n=4) 100.0%
csslanguage211.8% -9.5% 100.0%
elasticsearchdatabase211.8% —(n=7) 100.0%
expressjsframework211.8% —(n=10) 100.0%
fastapiframework211.8% —(n=15) 100.0%
flaskframework211.8% —(n=15) 100.0%
htmllanguage211.8% -14.3% 100.0%
kafkatool211.8% —(n=13) 100.0%
machine-learningai211.8% —(n=15) 100.0%
mongodbdatabase211.8% +0.0% 100.0%

4. What else they ask for

These are MyCareersFuture's own skill tags — the competencies the employer filled in on the form, over the trailing 90 days (2026-06-23 → 2026-09-20) across 143 postings. They are not the technology ranking above: languages and frameworks appear only in the free-text description, which is why this system reads it separately. "Must-have" is the share of postings listing the tag that marked it essential rather than desirable — a tag that is everywhere but rarely essential is table stakes, one that is usually essential is a filter someone is applying.

SkillPostingsShareMarked must-have
Full Stack Development4128.7%36.6%
JavaScript3927.3%7.7%
React.js3121.7%9.7%
TypeScript3021.0%43.3%
Python2718.9%7.4%
Computer Science2618.2%0.0%
CSS2517.5%0.0%
Backend Development2416.8%4.2%
Software Development2416.8%4.2%
Content Development2215.4%0.0%
Create advertising campaigns2215.4%0.0%
Digital Channels2215.4%0.0%
Digital Media2215.4%0.0%
Email Campaign2215.4%0.0%
Market Research2215.4%0.0%
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.