Sulog Research
Sulog studies aggregate work and career conversations to understand where people are stuck, which routes they consider and how those pressures change over time.
What the corpus changed
Across the selected communities, discussion about job search, skills, hiring, salary, BPO, freelance and remote work is far larger than resume discussion alone. That makes resume tooling an enabling feature, not the product thesis.
Alternative work routes are structural rather than fringe. BPO, freelance/VA and remote-work questions belong in the main navigation model rather than a side category.
Posts and replies do different jobs
Posts reveal problem states. Comments contain local heuristics, warnings, practical next actions and peer norms. Sulog should learn from both without turning public identities into candidate profiles.
Tone over time
Transparent lexical proxies show pandemic-era pressure easing substantially by 2024–26. At the same time, the overall outlook balance softened from 2020–21 levels and employer-distrust language remained materially higher from 2024 onward. That supports a job-quality and navigation thesis more than a simple unemployment story.
Boundary
The dataset overrepresents digitally active, career-focused, BPO, freelance and technology-adjacent workers. Community composition changes over time. Lexical indicators are transparent proxies, not psychological diagnoses.
Raw research data stays separate from private candidate data. Shared evidence is aggregate or anonymized. Provenance is preserved. New data collection must answer a named product or market uncertainty.