Linkedin Post Draft · Jul 20–26, 2026 → Jul 20–26, 2026
Data quality flag — this report contains a known defect
A median_salary Trend value was displayed where job_postings_count was intended (e.g. 'snowflake mentions moved +15000 this week, to 172500' — 172500 is a median salary, not a mention count). Root cause: Trend queries in ReportingAgent filtered by period but not by metric. Fixed 2026-08-15 (see docs/MAINTENANCE.md, tests/test_metric_isolation.py). The underlying job_postings_count data for W30 was never wrong -- only this report's narrative text. Left unedited rather than silently corrected; flagged here instead.
29 job postings for software engineer roles in the week of Jul 20–26, 2026 (+29).
Window: Jul 20–26, 2026 to Jul 20–26, 2026. Source: configured job feeds only.
Scored forecasts so far: 72, mean accuracy 0.74.
The number I care about is the second one. Anyone can publish a prediction. Publishing the
score is the harder part.
#CareerIntelligence #Agile #DataInformed #StrategicHonesty
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How we know
Evidence
Confidence
Source diversity
2 sources
93% from one source — treat as narrow
Last updated
2026-07-26
Reality validation
Not yet scored against reality.
How this forecast was made
- Approach
- Linear trend fitted to recent weekly counts, with a range to account for uncertainty
- Can it be edited?
- No — forecasts are locked at publication and scored as-is
Primary sources