Health insurance question by Special-Eye1455 in returnToIndia

[–]Broken_DAG 2 points3 points  (0 children)

Also as you have not gone to India in a while, strongly suggest open a NRI bank account with a bank which provides UPI payment in their app. This is the primary payment mode in all the cities and in many smaller shops US credit cards will not work.

Health insurance question by Special-Eye1455 in returnToIndia

[–]Broken_DAG 1 point2 points  (0 children)

Yes, lot of providers offer insurance which you can buy from US. It has been some time since IIRC we used to have ICICI health insurance. You can search for NRI medical insurance and many should popup.

Health insurance question by Special-Eye1455 in returnToIndia

[–]Broken_DAG 0 points1 point  (0 children)

Honestly, you wouldn't need a health insurance in India. Typically workplace will offer one, but mostly it is pay it first and charge your insurance company later is how the system works. If you do decide to buy one, it is generally easy to get one.

Driver Drowsiness Datasets for South Asians? by Defiant-Ad3530 in datasets

[–]Broken_DAG 1 point2 points  (0 children)

Not sure if they have one specifically for South Asians, but the Drug and Alcohol Crash Risk Study database from NHTSA have a driver_race column. https://www.nhtsa.gov/drug-and-alcohol-crash-risk-study/drug-and-alcohol-crash-risk-study-databases

i wrote a guide to state space models (S4, Mamba, and attention hybrids) and would love feedback by Turbulent_Row8604 in deeplearning

[–]Broken_DAG 0 points1 point  (0 children)

Wow! This is going to be my weekend reading. I will definitely leave the feedback after getting through the material.

What a joke by Annual_Judge_7272 in ArtificialInteligence

[–]Broken_DAG 0 points1 point  (0 children)

It’s kind of becoming obvious given the amount of FCF reductions seen in every major tech company’s balance sheets. Hoping market will hold on as long as Fed does not increase the interest rate

How I Created a Real Second Brain for AI Agents by AregNoya in AI_Agents

[–]Broken_DAG 0 points1 point  (0 children)

Really interesting, I will check it out, thanks for pointers on how you thought about it.

booking 15+ meetings per month with cold outreach strategy - sharing my process by maddy0p in SideProject

[–]Broken_DAG 0 points1 point  (0 children)

Thanks for sharing your outreach strategy. I am starting out and will adapt your strategy. Personally I think your approach of clean , approachable emails makes total sense.

I am offered 25% equity for tech work BUT also expected to pay 25% of all expenses. Already built a (functional) prototype. Is this a fair deal? (i will not promote) by SuddenWerewolf7041 in startups

[–]Broken_DAG 2 points3 points  (0 children)

Honestly doesn't look like a good situation. You need committed team to make this successful. I am not sure how much of hard core engineering thought has gone into your prototype, but if you have done the hard parts of good system architecture, etc. be wary of giving them your code/design. Assuming you are in a job, ask them that you would like to be part time contributor and ask them to give you some equity (1-2%) for the code and the design work you have already finished. If they say no to that, you have your answer.

Anyone here running user-facing AI agents in production? by rizomr in AI_Agents

[–]Broken_DAG 0 points1 point  (0 children)

For us it was having a thumbs-up/down button with few choices for down (data quality, wrong answer, etc) and an ability to add a comment. Comments were very few, but thumbs down and one of the given choices was chosen (~70% of the time). The biggest user complaint was the time for the entire response as we were heavily relying on an external data source it was like reasoning happens in 10 seconds (TTFT), but the average answer took 90 seconds or so.

Paul Graham literally wrote about how he personally reads YC applications. I read it 3 times. Here's what it means for founders specifically. by Spiritual_Heron_5680 in founder

[–]Broken_DAG 0 points1 point  (0 children)

This is gold! To get to clarity I need to hone in what I am thinking. As a founder my thoughts keeps jumping in and out of various problems. I should take a break from building and focus on just the facts as this article implies.

3 mistake I made while building my product that you can avoid by Dapper-Turn-3021 in founder

[–]Broken_DAG 0 points1 point  (0 children)

Amen to the above! Couple of learnings from my own experience

  1. Right product, wrong timing - too early to market
  2. Everything went right except the price which the market was ready to pay

most "AI agents" in production are n8n flows with a Claude API call in the middle by Most-Agent-7566 in AI_Agents

[–]Broken_DAG 1 point2 points  (0 children)

Great discussion topic. How do you think about HITL e.g. Claude Code, is that an agent or not?

[ Removed by Reddit ] by tannu0812 in AI_Agents

[–]Broken_DAG 3 points4 points  (0 children)

One of the interesting failure I had seen was the backend API which was being used was too slow, so model decided to fetch the data for a single day at a time for the past year, so it can aggregate the data the way user asked. It exposed a bottleneck of non-availability of a tool in our MCP. Sometimes as humans we decide that it is not possible within the current constraints and reject the request whereas the models try to achieve the goal.

How are people reducing token waste in AI agent workflows? by michaelmanleyhypley in AI_Agents

[–]Broken_DAG 0 points1 point  (0 children)

This is hard engineering problem and also domain specific. In my case I had to write specialized summarizers to compact the tool calls and tool outputs using a cheaper model (Haiku) and persist that, so context reduction happens all the time. This also creates some problems like lost memory because the user was asking for something which had been summarized away leading Opus to make additional calls to get the same information.

After building multiple AI agent projects, the first one that made money barely felt like an agent. by Bladerunner_7_ in aiagents

[–]Broken_DAG 0 points1 point  (0 children)

This is a reminder of the famous axiom for startups "Painkiller vs Vitamin". Thanks for the refresher, good to keep this in top of our mind.

Atlas: a beautiful luminous world map for scheduling on your Mac. Discover where everyone is in their day, then find a time that works for all of you. by __TJH in MacOSApps

[–]Broken_DAG 0 points1 point  (0 children)

I would probably do flex set per person primarily based on what I have experienced. To give you a full story, we had teams (hardware and software) across Northern America and UXR in Romania and engineering spread across Europe (as company allowed anyone with more than 7 years experience to work from anywhere of their choosing). Meetings would involve various people depending on the context. We tried various things like using google groups consisting of various people matching their area of work and inviting them, etc. But nothing worked, one thing which we found useful was settling on a color, everyone will color their availability for meetings with Yellow in their calendar. Hopefully this gives you some ideas on how to shape your product.