arunbhatia

The fundamental difference is in the design philosophy - other meta harnesses focus on agent-in-the-loop, and we focus on the other half, i.e human-in-the-loop. We will be feature-complete in the next 2 months - launching the cloud and offrun mobile app soon.

thats a great point - we will keep that in mind while building offrun.dev

we are focusing on human attention - managing multiple agents leads to approval fatigue and human-in-the-loop design goes for a toss. We are making sure that agentic engineers are focused on building the right product without worrying about assembling tools to build the right product.

On a lighter note - our biggest differentiator(which my CTO won't agree with) is that we have an in-built radio in the product that the user can listen to while agents are running.

great point! we have released only for Mac for now (both silicon and Intel) and will be launching Windows and Linux versions soon.

We are going to integrate Herdr, Pi, Opencode and provision to add custom harness soon - already working in that direction.

Yes, one can always build this on their own. We are just building based on our observations on what is missing while using claude, codex, Pi, Opencode etc.

The whole point of Offrun is that we want the users to stay in a flow state. Users will never be stuck because of session/account limits because they can simply switch to any other account in 1-click and resume the work seamlessly.

because it was written by an LLM - using the direction given by a fellow human :)

thats the future we are heading to, right?

Herdr lets you run agents anywhere, and Offrun helps you to manage the agents. We are going to launch Herdr integration inside Offrun soon.

haha really appreciate your comment - I have taken your feedback and will definitely add the thought process to our roadmap.

haha thanks for the positive comment - we are working on the right design to get users! Our early users are appreciating the intuitive design of the tool - our focus is to manage multiple coding agents without getting human attention in the way.

we are somewhat already heading in this direction to handle complex workflows like yours

hey, thanks

Apologies, I have removed the forced sign-in to the Google account now. Thanks!

Hey - Thanks for highlighting that! I will keep that in mind from next time. I have also removed the mandatory Google account sign-up for the waiting list.

hahaha good one

No idea! I am also wondering the same.

Thanks for the feedback! I sort of agree with you on acupuncture being a bit pseudoscience, and that's the reason I built this tool to have evidence-based answers. Seems like that Chinese study got published in PubMed, and that's why it got picked up by the tool: https://pubmed.ncbi.nlm.nih.gov/40557042/

I am working on more features to get deeper insights and more refined search results.

Thanks, glad that you liked it! It's a simple RAG w/o indexing, which fetches the relevant research papers and summarizes them as per the question.

I have just launched the POC last week, and mostly focused on improving the search results, so I didn't get time to create the social pages yet. Will do it soon! But, thanks for pointing that out :)

I don't have any test sets because I haven't trained any model from scratch. I have built a simple RAG, and my validation comes from users directly, like whether they find the answer useful or not.

AskMedically only "summarises" answers from research papers, and Gemini or any other LLM "generates" answers. For medical queries, the citations are important and should be grounded in research papers - this is the only difference between AskMedically and Gemini or any other equivalent LLM.

I completely agree with you! LLMs are not good for medical queries, and that's exactly the reason I built this tool. I have used a simple RAG mechanism where I feed only research papers from trusted sources to the LLM to summarise them. In short, every answer is grounded in research papers. The idea is to cut down the time to do research for daily medical queries. I am still working on refining the answers, though - many new features are coming soon to make the research process easy.

Thanks! Also, you don't need to be a health professional to use this platform. I have noticed that curious people are also asking their medical queries like "How to improve focus?" and getting good research-backed answers. https://www.askmedically.com/search/how-to-improve-focus/y3O...

Must-know twitter bot. Can be quite handy to take notes from long podcasts.

Tried it on various videos on Twitter. Works like a charm!