HN user

hjaveed

106 karma

Former CTO of an acquired healthtech startup where we combined fintech + healthtech + AI.

CTO/Co-Founder RevelAI Health we are transforming how patient care is delivered through AI. Happy to chat about building AI products that actually solve real problems, or share war stories about HIPAA compliance adventures. Always up for brainstorming

Posts7
Comments12
View on HN

I’ve been seeing a lot of noise about Clawdbot, so I spent time actually running it and writing down what I learned.

2026 could be the year of personalized agent harnesses in a box, where developers use agent SDKs to build their own systems, specialized and verticalized for a specific use case.

Under the hype, the interesting part is simple: this is AI that lives with you, not something you open and close. It runs, remembers, and does work in the background. That shift matters more than the product itself. And yes currently it's a security nightmare, but we will evolve soon using more secure sandboxes to run the AI.

I wrote this as a thinking-out-loud piece, not a review.

Sharing here if you want to read: https://www.hadijaveed.me/2026/01/28/clawdbot-beyond-the-hyp...

good for the founding team! Kafka is an enterprise bloat. most of the queueing solutions could be built with something much simpler

[dead] 2 years ago

Inspired by the ideas from this Cognitive Architecture paper and an insightful Langchain Blog by Harrison Chase.

For production use-case, we're exploring how to create closed-loop, safe agents in healthcare — systems that can reason and execute on patient needs in a secure and reliable way. The key is understanding how these agentic systems should think, the flow of execution in response to patient intent, and ensuring safety through structured, observable loops.

[dead] 2 years ago

We're inspired by the ideas from this Cognitive Architecture paper and an insightful Langchain Blog by Harrison Chase.

At RevelAI Health, we're exploring how to create closed-loop, safe agents in healthcare — systems that can reason and execute on patient needs in a secure and reliable way. The key is understanding how these agentic systems should think, the flow of execution in response to patient intent, and ensuring safety through structured, observable loops.

No matter how innovative your healthcare product is, you won't get deployed without convincing the security team. Here's what I learned from successfully implementing HIPAA compliance at large health systems - focusing on practical cloud architecture decisions and navigating dated security questionnaires.

For patch management particularly with EC2s, we use AWS Systems Manager Patch Manager.... fairly straightforward to setup once you configure a base image

obviously, it's not cloud-native... but if you are using AWS EC2 it works

After listening to @levelsio on Lex Friedman’s podcast, I became obsessed to simplify my deployments:

Do startups really need complex cloud architecture?

Inspired, I wrote a blog exploring simpler approaches and created a docker-compose template for deployment

Curious to know your thoughts on how you manage your infrastructure. How do you simplify it? How do you balance?