Skip to content

Instantly share code, notes, and snippets.

@colbyn
Created October 21, 2025 20:09
Show Gist options
  • Select an option

  • Save colbyn/bb00e3ccc101f15cabdc4b0110b41357 to your computer and use it in GitHub Desktop.

Select an option

Save colbyn/bb00e3ccc101f15cabdc4b0110b41357 to your computer and use it in GitHub Desktop.
The mental health industry is ripe for disruption.

The mental health industry is ripe for disruption. Traditional therapy relies on state-licensed professionals charging premium rates for one-on-one sessions, but much of it boils down to discussing the human condition: subjective experiences like loss, relationships, and personal growth. Why enforce rigid licensing boards and standardized treatments that haven’t evolved much since Viktor Frankl’s era in the mid-20th century? These one-size-fits-all approaches can’t address inherently personal issues. Instead, we need market-driven solutions: a gig economy platform where anyone can offer paid talking sessions, regulated by user reviews, reputation, and demand rather than bureaucracy.

State licensing makes sense for objective fields like evidence-based medicine or precision treatments. But for “pay to talk” services (where clients vent, seek advice, or process life’s mess) it’s overkill. Human responses to existence are subjective; there’s no universal right or wrong. Standardized protocols ignore this, leading to inefficient outcomes. Research shows group therapy often outperforms individual sessions with licensed pros, likely due to personal resonance (that unteachable connection between people). If data points to better results from peer-like interactions, why stick with gatekept models? A gig platform could amplify this by matching clients with relatable providers, cutting costs and boosting effectiveness. Think Uber for taxis: states once capped drivers to “protect” the industry, but market forces via apps delivered better access, lower prices, and user-rated quality. The same Silicon Valley ethos should target stagnant professions encumbered by institutions. Therapy is a prime candidate given that it’s objectively failing in affordability, availability, and results for many. Broader sectors like coaching or consulting could follow, but starting with paid conversations makes practical sense.


This isn’t just theory; demographics scream opportunity. Women for instance drive consumer spending more than men, and rates of single, childless women are at historic highs. They prioritize personal, IRL connections, especially older cohorts and so a gig model could thrive here, offering diverse options from casual chats to niche advice. Beyond that, consider underserved niches:

  • Single mothers needing male role models for fatherless kids (now 1 in 4 children).
  • Peer support for ex-military, cancer survivors, or those grieving losses—people who’ve “been there.”
  • Pro-tier services: Stoic philosophers, mystics, dating gurus tackling maturity crises among young men and “leftover” women.

A gig economy unlocks variety: clients self-select based on profiles, reviews, and resonance, not credentials. Providers earn flexibly, without institutional barriers.


Something that’s been particularly enlightening was Adam Smith’s insights from The Theory of Moral Sentiments and The Wealth of Nations apply here. Self-interest, guided by ethics, creates an “invisible hand” benefiting society. Gig platforms embody this: providers chase earnings, clients seek value, and reputation enforces quality—adaptive, efficient, and self-regulating. Bureaucratic boards? They’ll underperform in cost, access, and outcomes.

AI chatbots in contrast offer constant affirmation, but that’s toxic for real growth (echo chambers stunt psyches). Human providers deliver tough love, nuance, and genuine connection. As AI socialization rises, this counterbalance becomes essential.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment