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Framework wars · updated daily

Which stacks are winning?

Share of monthly postings mentioning each technology - and what candidates actually click versus what companies post.

Share of postings mentioning each tech

0%14%28%SepOctNovDecJanFebMarAprMayJunJulAug
pythonjavatypescriptnodegolangruby

Median pay per stack · 2026-08

$0$171k$341kSepOctNovDecJanFebMarAprMayJunJulAug
rust$197k(10 disclosed)ruby$185k(13 disclosed)golang$180k(9 disclosed)python$160k(118 disclosed)java$158k(50 disclosed)node$148k(31 disclosed)

Supply vs demand · 2026-08

Where companies post versus where candidates click. A positive demand gap means candidates are more interested than the posting volume suggests.

react+2.9pp demand gap
11.4% posts
14.3% views
angular+2.7pp demand gap
1.8% posts
4.5% views
node+1.7pp demand gap
7.1% posts
8.8% views
java+1.0pp demand gap
10.1% posts
11.2% views
php+0.5pp demand gap
1.9% posts
2.5% views
laravel+0.5pp demand gap
1.1% posts
1.6% views
dotnet+0.5pp demand gap
3.6% posts
4.1% views
vue+0.5pp demand gap
1.2% posts
1.7% views

Frontend vs backend interest

FrontendBackend
0.0%3432.9%6865.7%SepOctNovDecJanFebMarAprMayJunJulAug

Unique views per posting each month - a rising line means candidate attention is concentrating on that discipline.

Total views by discipline
06.8k13.6kSepOctNovDecJanFebMarAprMayJunJulAug

Raw unique views across all postings - absolute candidate attention, not normalized per posting.

Stack synergy · most paired · 2026-08

Which techs appear together in the same posting — title & tags only. Darker = more frequent pairing.

angular
astro
dotnet
golang
java
javascript
laravel
nextjs
node
nuxt
php
python
react
remix
ruby
rust
svelte
tailwind
typescript
vite
vue
angular
astro
dotnet
golang
java
67
javascript
68
64
60
laravel
nextjs
node
49
nuxt
php
python
67
68
59
70
react
64
49
59
92
remix
ruby
rust
svelte
tailwind
typescript
60
70
92
vite
vue
  • react + typescript92 (17%)
  • python + typescript70 (13%)
  • javascript + python68 (13%)
  • java + python67 (13%)
  • javascript + react64 (12%)
  • javascript + typescript60 (11%)
  • python + react59 (11%)
  • node + react49 (9%)
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How this works

Every posting is scanned for technology signals in its title and category tags only - descriptions mention every tool under the sun and would flatten the signal into noise.

The chart lines show each tech's share of all postings that month, so overall hiring volume swings don't distort the picture.

Supply is where companies post; demand is where unique visitors click. A positive demand gap means candidates are hungrier for that stack than the posting volume suggests.

Median pay per stack only counts postings with a confidently parsed salary, normalized to yearly - stacks with fewer than 5 disclosed salaries in the month are skipped so one lucky posting can't set the bar.

Honest caveat: keywords are a proxy, not ground truth - and view history only starts when tracking began, so the demand bars get smarter over time.