u/No-Bird-123

We're a physician-founded AI health app (live on the App Store), partnering with a small group of US-based creators who'd post authentic videos to their own audiences — your account, your voice.

This isn't a mass call — we're looking for creators who take their craft seriously and have a genuinely engaged audience. Follower count isn't the deciding factor; what matters is how your audience actually responds to your work.

We work closely with the creators we bring on — a real partnership, not a one-off.

What you get:

- $250+ per video you post to your account, paid up front

- Free access to the app + a shot at an ongoing, long-term partnership

- Performance bonuses tied to how your video does

What we're looking for:

- Strong TikTok, Instagram, or YouTube creators with an engaged audience

- US-based

- Willing to genuinely try the app and post your honest take on your own account

- A real point of view — not just reach

- Bonus: you create around health, wellness, caregiving, or living with a health condition

Interested? Comment or DM me your handle(s) and a recent post you're proud of. We're reviewing on a rolling basis and only taking a handful — so don't wait. If you know a creator who'd be a great fit, an upvote helps the right people see this.

Question for founders.

The funding market feels very different from 2-3 years ago. Back then, it seemed possible for a strong founder to raise pre-seed on background + idea + early prototype, then quit and go full-time.

Now it feels like pre-seed investors often want real traction first, especially for B2B SaaS and consumer startups. But getting real traction usually requires working on the startup full-time.

That creates a catch-22:

You need traction to raise.
You need to quit to get traction.
But quitting before raising is a huge personal risk.

For founders who recently left stable jobs, how did you actually handle this?

Did you save up runway, go part-time, take unpaid leave, wait for revenue, or just quit and figure it out?

Curious what the practical path looked like.

I’m a physician and CS PhD candidate at UIUC, previously at Mayo Clinic Health System. I’m building Moku Health as a side project turned startup.

The basic idea: a lot of patients and caregivers have a giant pile of PDFs, portal notes, labs, imaging reports, and specialist summaries. The hard part usually isn’t “ask an AI doctor what to do.” It’s more basic:

• What abnormal results are buried in here?
• Was there supposed to be follow-up?
• Did an old finding ever get resolved?
• What should I bring up with the actual clinician?

For US patients, we’re working on connecting with EMRs where possible. For families helping parents abroad or across health systems, the flow is uploading records directly: PDFs, images, portal exports, records in different languages.

Moku reviews records and tries to flag unresolved issues, abnormal labs, and follow-ups that may have been missed. The important part is that findings should trace back to the original source document, so it’s not just a chatbot guessing from memory.

It’s meant for education and doctor conversations, not diagnosis or medical advice.

I’d really appreciate feedback from this sub on whether the use case is clear, especially for family caregivers managing a parent’s care.

Founder disclosure: I’m building this. Please don’t share personal health details in the comments.