Has anyone tried Expert Picks (by Market Wind) in CoinDCX? How was your experience?
I'm not really sure about:
- High leverage they push
- No detailed historical data to analyse (they do not show the loss % on their past stop-loss transactions)
- 62% Success rate with 5.57% profit is too good to be true
- No algo option to opt
- There is no verifiable data
Has anyone tried Expert Picks (by Market Wind) in CoinDCX? How was your experience?
I’m not really sure about:
- High leverage they push
- No detailed historical data to analyse (they do not show the loss % on their past stop-loss transactions)
- 62% Success rate with 5.57% profit is too good to be true
- No algo option to opt
- There is no verifiable data
Has anyone tried Expert Picks (by Market Wind) in CoinDCX? How was your experience?
I’m not really sure about:
- High leverage they push
- No detailed historical data to analyse (they do not show the loss % on their past stop-loss transactions)
- 62% Success rate with 5.57% profit is too good to be true
- No algo option to opt
- There is no verifiable data
Hi, I work in M&A research for an US client, where a significant part of my role is identifying acquisition targets that fit a client’s investment criteria.
I’m a non-tech guy.. and whatever I currently know on a surface level is self taught.
My workflow starts with a database export of companies that already meet basic filters such as geography, industry, revenue range, and employee count. From there, I need to perform much deeper research on every company.
For each company, I need to determine things like:
- Is it independent or a subsidiary/PE-backed/VC-backed?
- Does it genuinely operate in the niche we’re targeting?
- How confident is the conclusion?
- Provide supporting evidence and citations.
I’ve experimented with several AI research tools, and the best results so far have come from deep research agents that browse the web, reason through conflicting information, and provide citations. The research quality is good.
The problem is scale.
A typical mandate involves screening anywhere from 500 to 2,000 companies.
Right now, I manually copy companies from my spreadsheet into an AI tool in small batches (usually five companies at a time) because that’s the only way I’ve found to maintain good output quality.
That means repeating the same process over and over:
- Copy a few companies
- Paste into the AI
- Wait for research
- Copy the next few
- Repeat 100+ times
The AI isn’t the bottleneck—the manual prompting is.
My questions:
- Has anyone built something similar for company research, due diligence, or M&A sourcing?
- Can Google AI Studio reliably process hundreds of spreadsheet rows in one run?
- Is using the Gemini API (or another API) the best long-term solution?
- What would you recommend as an automation platform?
- Is there an AI agent that can autonomously iterate through every row in a spreadsheet, perform web research with citations, and populate the output without requiring constant manual interaction?
- If you’ve solved a similar problem, what does your architecture look like?
I’m not necessarily looking for the smartest LLM. I’m looking for the most scalable, reliable, and cost-effective workflow for researching hundreds or thousands of private companies while maintaining high-quality outputs with verifiable citations.
I’d love to hear how others have approached this problem, whether using APIs, agent frameworks, or custom automation pipelines.
Please note that I’m a rookie and do describe whatever your suggestions are. Thanks in advance!
Hi, I work in M&A research for an US client, where a significant part of my role is identifying acquisition targets that fit a client’s investment criteria.
I’m a non-tech guy.. and whatever I currently know on a surface level is self taught.
My workflow starts with a database export of companies that already meet basic filters such as geography, industry, revenue range, and employee count. From there, I need to perform much deeper research on every company.
For each company, I need to determine things like:
- Is it independent or a subsidiary/PE-backed/VC-backed?
- Does it genuinely operate in the niche we’re targeting?
- How confident is the conclusion?
- Provide supporting evidence and citations.
I’ve experimented with several AI research tools, and the best results so far have come from deep research agents that browse the web, reason through conflicting information, and provide citations. The research quality is good.
The problem is scale.
A typical mandate involves screening anywhere from 500 to 2,000 companies.
Right now, I manually copy companies from my spreadsheet into an AI tool in small batches (usually five companies at a time) because that’s the only way I’ve found to maintain good output quality.
That means repeating the same process over and over:
- Copy a few companies
- Paste into the AI
- Wait for research
- Copy the next few
- Repeat 100+ times
The AI isn’t the bottleneck—the manual prompting is.
My questions:
- Has anyone built something similar for company research, due diligence, or M&A sourcing?
- Can Google AI Studio reliably process hundreds of spreadsheet rows in one run?
- Is using the Gemini API (or another API) the best long-term solution?
- What would you recommend as an automation platform?
- Is there an AI agent that can autonomously iterate through every row in a spreadsheet, perform web research with citations, and populate the output without requiring constant manual interaction?
- If you’ve solved a similar problem, what does your architecture look like?
I’m not necessarily looking for the smartest LLM. I’m looking for the most scalable, reliable, and cost-effective workflow for researching hundreds or thousands of private companies while maintaining high-quality outputs with verifiable citations.
I’d love to hear how others have approached this problem, whether using APIs, agent frameworks, or custom automation pipelines.
Car car car car elodi car 🚙
Hi peeps!
I like chai very much.. but i do not always have all yhe ingredients/time around to prepare a good cup of chai. I’m looking for any good instant chai premix recommendations for you all.
My Chai preference: I’m someone who likes masala chai with ginger.. i usually add 1/3 water and 2/3 milk in chai and add extra milk powder for that enhanced creamy taste and to thicken my chai a little bit.
Any good leads are much appreciated ☺️
Do you guys thinks its some kind of belief/superstition? What must be the reason?
Can you guys please recommend some good food places in dharwad?
I like the iconic places like LEA canteen or Bombay restaurant. But there are hardly any other good options to hang around and eat. Barely any cafes or small restaurants with good food in my opinion.
I’m open to any cuisine.. from chats at mishra to sandwiches at crb to fries at doorway. Please feel free to drop in places also do share your favourite food from their menu!
P.s.: I do visit Ocean pearl, travel inn, menaka (formerly mayura aditya), dwartwaka, ozone and ashoka. Not looking for these types of restaurants.
And please refrain from mentioning shell/ccd🙏🏻😭
I finally did it. As a die-hard CSK fan and a huge Dhoni admirer, I’ve booked my tickets for Gujarat Titans vs Chennai Super Kings on May 21. This could very well be CSK’s last group stage match, and honestly, I just want to watch Thala play live at least once before he retires.
Being a true CSK fan, my dream was always to watch CSK vs RCB, but with Dhoni injured earlier, that plan never worked out. My next best option was the second-last game - CSK vs SRH at Chepauk. Watching a match at Chepauk is a dream for any CSK fan across the world. But I chose this game instead, because it might be our last this season.
Given the way things have been going, it’s hard not to feel that CSK might miss out on the playoffs this year. That thought hurts. But more than anything, I just hope Thala plays at least a few matches before the tournament ends.
We deserve a proper farewell. And he deserves all the love, one last time. 💛
As a typical north-Karnataka guy.. how would you utilise this space?
Edit: By north-Karnataka guy.. i mean one would have a stereotypical things in our household right? Like in my house it would be a basavanna photo