Hello dear reader,
A tell-tale sign that this newsletter is still handcrafted and not AI automated is: once in a while, when life gets overwhelmingly full, we miss our publishing timeline.
Which is what happened last weekend.
Yash and I–both writers of this newsletter–were out doing life pro max. Yash was in Mumbai, closing out the final few days of his psych postgraduate program; while I was in San Francisco mingling with the digital mental health community.
Curiously, we were both watching the same industry from very different vantage points.
Yash sees it from the inside of a graduate training program: fresh graduates discerning their way into jobs and private practice, eyes open, hoping to build something sustainable.
I’m seeing it from the outside edge of digital mental health: where the industry is headed, and what clinicians with the most tech exposure are actually doing with that exposure.
Both views, it turns out, point to the same conclusion. The gap between clinicians and the tools shaping mental health delivery is closing but not fast enough, and definitely not on its own.
Which brings us to today. A baby step toward making the system work for you.
But First, Intentionality
My takeaway from the SF and the Bay Area is that there’s a top 1% of clinicians already embedded in Big Tech, consulting with the Googles and Metas of the world.
Meanwhile, the AI industry world over is actively creating demand for domain experts (for us, that’s therapists who can contribute to product building, AI training, and clinical quality assurance).
But most therapists don’t have the exposure and connections to land themselves these gigs. And if this trend is any indicator, more clinicians will work in tech over the years.
Here’s the problem: not everyone can fly to conferences and mingle with the right people to find these roles, get a pulse on the industry, or even know what questions to ask. That’s expensive, exhausting, and frankly unsustainable.
So how does the information reach you?
Social media.
I can hear your sigh from here! Stay with me.
Reframing The Use Of Social Media
I know I know – socials is fatiguing already. But let’s shift how we’re looking at it for a moment.
Instead of opening your feed to find someone’s hot take on a difficult client, or someone documenting their personal life in real time, what if you looked at social media as a tool to expand the surface area of your luck?
Social media is a two-player game: you and the algorithm. Both are malleable.
You can let the algorithm run the show. It’ll show you what it thinks you like based on what you’ve already seen. Or you can be intentional and train it: teach it who you are, what you care about, and who you want to be shown to.
That’s the shift I want us to have. From passive scrolling to active curation.
A Question For You
I’m building something, and I need your brain for a moment before I hand you the algo training list.
At TinT, we’re planning the launch of a new weekly content series on LinkedIn and the newsletter. Think of it as a trained scout that brings the most relevant mental health innovation signals back to therapists.
However, what counts as signal is deeply personal. It depends on your speciality, your career stage, your geography, your level of tech exposure. What’s noise for one clinician is exactly the thing another clinician has been searching for.
So I want to ask: if TinT showed up in your inbox every week with a tight, curated update, what would make you actually open it?
Reply to this email with whatever comes to mind, or pick from these:
- Tech + my clinical speciality (reply and tell me what that is)
- Research in mental health tech, translated for clinicians
- Companies and products in the mental health innovation space, and updates from them
- The business and funding side of mental health tech
- Career pathways for clinicians moving into tech
- Regional and cultural context — starting with South Asia specifically
- All of the above, but filtered to my speciality (reply and tell me what that is)
There’s no wrong answer.
This is me trying to be useful to you, not just to the average reader. Which brings me to the curation I’ve been doing this week.
How To Train Your Algorithm
Today I want to go deeper on one specific part of active curation: the incoming information feed. Here’s what I believe your feed should include, at minimum:
- Technology updates relevant to clinical practice
- Product updates and feature releases from mental health tools
- Research findings translated for clinical audiences (not raw papers)
- Funding rounds and government mental health initiatives
- Voices from the ML/AI community, not just clinical peers
An honest note before the list: the majority of what I’m about to share is written for and from the Global North. That’s a non-neutral fact. The AI and mental health innovation conversation is disproportionately happening in the US and UK, and the voices shaping it are disproportionately from there.
I name this not to dismiss the resources, but to hold them at the right distance. I actively seek out research and work from the Global South, and I think all of us should be doing the same.
With that in mind, dive into this!
Follow/ Subscribe To Train Your Algorithm
Develop Your Own Unique Lens
Don’t start with broad AI news. Start with where AI and tech overlap with your speciality. Here are some examples:
- Tech addiction is a concrete, growing clinical issue with existing assessment tools. If you are based in India and your speciality is addiction, you want to check out The NIMHANS SHUT Clinic initiative (Service for Healthy Use of Technology), a government-backed entry point into Tech addition that doesn’t require you to have a tech background, just clinical curiosity.
- ADHD and technology is already a natural intersection for many clinicians. The research is rich, the clinical questions are real, and the stakes are getting higher: the UK’s NICE now recommends objective testing tech as part of ADHD diagnostic workflows, and the first FDA-approved prescription video game for ADHD (EndeavorRx) has clinicians actively prescribing and monitoring digital therapeutics. If this is your speciality, you’re sitting at one of the richest intersections in digital mental health right now.
- Graduate education: if you’re a faculty member or a supervisor, the gap in AI literacy inside training programs is an immediate, actionable problem. The ACA published guidance in 2025 specifically for counsellor educators integrating AI into their teaching, which means the field knows the gap exists. You don’t need to wait for institutional permission to start closing it.
Your speciality is your entry point. Start there, and let the surface area expand from that point.
High Quality Signal For Clinicians
There’s a lot of noise out there. A lot of people packaging AI content for clicks, for virality, for a broad audience they hope to grow.
That’s not how I want to steer TinT.
TinT is not for everyone in mental health innovation. TinT is specifically for clinicians in mental health innovation.
TinT is for the clinicians who are curious but not yet connected, who know the industry is changing but don’t have a clear map, who want relevant tech and AI updates written in plain language and translated for a clinical mind.
I want to be that voice. And the only way I can do that well is if I know what signal means to you.
So: reply to this email. Tell me your speciality.
Tell me what you’d actually open every week. Tell me what’s been missing from your feed. Let’s work the algorithms intentionally.
I read every reply. This is still a handcrafted newsletter, after all. :)
Take care and see you soon,
Harshali
Founder, TinT
Follow along on @be_tint
For more resources view the website
Connect with me, Harshali on LinkedIn
