A team to help the other healthcare business AIs by elevating their confidence by providing them the synthetic datasets. Would love to collaborate w/ anyone interested!!!
YC has a video on why its preferred to choose B2B over B2C, its called 'Avoid Tarpit ideas". We often don't realize **how high the bar actually is** and how good the products we use actually are.
This is the downside of “Do Things that don’t Scale”. Businesses will pay for a bad MVP if they know it’ll get better with time. Customers won’t pay for a bad MVP. They’ll just ignore you.
There's a reason there is only 18% doing b2c. Finding your audience/consumer can be difficult to find (relative to b2b), then they don't like paying for services, and theres loads of churn.
@@DataSciencewithHarshit I'm trying to build an internet 🛜 company to completely distrupt the internet market worldwide by giving free internet always to audience... already applied to ycombinator
B2B.. relatively it's easier to fake revenue.. say YC companies can use other YC startup services to make its valuation higher for IPO, or next funding round?
@@vijay0exactly. Y Combinator doesn’t teach companies how to make a good product. It gives its companies prestige, which they use to swindle investors and big businesses. It’s just like consulting firms and elite schools.
This video serves the heaviest drop in my bucket of making an AI startup. I, along w my colg frnd have been deeply involved in ideating over the idea of sy thetic data, esp in terms of Medicine AI training. The target market we agreed on is Indian subcont. This vid, came at ri8 time, and made my whole AI business research work less cumbersome by providing a summary. Additional, i would req you to make a vid on synthetic data industry, as it's really new and I myself need exposure about the trends of industry... धन्यवाद।
Chapters: 0:00 What to build with AI 00:12 Why this analysis 01:08 How to find good ideas? 03:08 Overview of Data 04:35 Hottest industries 05:29 B2B vs B2C 06:24 Infrastructure vs Application 07:58 Untapped industries ripe for AI disruption 08:28 Tech trends 09:41 Types of technical problems to solve 10:32 Potential in Ethical and Safe AI 11:31 Small business vs Enterprises 11:59 AI in Blockchain and Quantum Computing 12:53 YC-backed founder traits 14:58 My recommendation
Introduction and Framework for Choosing AI Projects - 00:00:01 Why Combinator as a Source for AI Trends - 00:01:11 Data Collection from YC's Startup Directory - 00:03:00 Analysis Overview and Use of Gumloop - 00:04:16 Hottest Industries and Sectors for AI - 00:04:49 B2B vs. B2C in AI Startups - 00:06:06 Infrastructure vs. Application Layers - 00:06:36 Automation: AI-Driven vs. AI-Assisted - 00:07:09 Underserved Industries in AI - 00:08:18 AI Technologies Utilized by Startups - 00:08:50 Open Source vs. Proprietary in AI - 00:09:22 Emerging Technologies and AI Trends - 00:09:54 Critical Issues: Data Privacy, AI Safety, Accessibility - 00:10:57 AI for Small Businesses vs. Enterprise Solutions - 00:11:31 Quantum Computing and Blockchain in AI - 00:12:09 Backgrounds of YC-Backed Founders - 00:13:16 Recommendations for AI Entrepreneurs - 00:15:09 Conclusion and Final Thoughts - 00:16:17
Also, remember that b2b doesn’t necessarily mean business to company, this may mean business to sole proprietor. For example something geared towards drivers or care-givers would be b2b even though there’s a single person on the other end of the solution. Saying this, so you don’t have this view that you need to find a big singular business customer and solve their specific problem, or focus on some generic need of all big businesses.
Very few, I assume because YC has a good selection process with smart folks assessing these companies. Many may have started from being a wrapper but would have convinced YC by showcasing a roadmap.
Companies that are simply calling OpenAI APIs and showcasing the output on a webpage like travel itinerary or email summary, etc. With Gmail introducing all these features, those companies don't have any future now.
Just a thought...does using the number of companies not potentially skew the interpretation, as opposed to revenue generated in that industry, or GDP in the sector, which would show a money-based measure? Obviously, both could be used in coming to conclusions.
Interesting point. As you said, both will be insightful and it all depends on the outcome you're optimising for. My people want to learn more about the kind of ideas they can start building with AI which have some backing and are not just "cool" or "best". So, this analysis is only catered towards people to find what's worth building and what it takes (people). This, by no means, is representative of all the companies / industries and doesn't capture the market caps, although that would also be a very insightful data point.
@DataSciencewithHarshit Accepted. My point though is, knowing 20 YC companies are present in a sector, for example, wouldn't seem to me to get you closer to a decision to enter there since those 20 could be small or large, their revenues could be small or large, and the industry GDP could be small or large. Please don't take what I am saying as a criticism, beyond wondering whether your analysis would provide the information needed. I just think, without having a financial metric or two thrown in, that provide the size, growth possibilities, potential barriers etc of a sector, comparing sector based on the number of companies alone could lead to joining one with fewer companies, only to discover it's actually "crowded" even with a small number of firms vying, with revenue hard to pry from the hands of clients and competitors. Your analysis is definitely food for thought, regardless of my observation, so many thanks for putting it together!👍🏼
As a business opportunity, what if the Ai NWO was worse than anyone thought? Swell robots everywhere causing ai jobloss for everyone. Abruptly ceasing humanity. Shouldn’t it be us demanding to cease Ai, first?
What are you building with AI? 👇
A team to help the other healthcare business AIs by elevating their confidence by providing them the synthetic datasets. Would love to collaborate w/ anyone interested!!!
I’m one of the founders of Aether. Great video!
End to end marketing automation tool for SMEs using Gen AI🎯 Great analysis bro. Thank you!
I am based in Indonesia and is working on a project related to human resource management. Right now looking for a team.
#1 A.I Idea - make a video about ideas 💡 perfect for content creators who have no idea
welcome to griftonomics
YC has a video on why its preferred to choose B2B over B2C, its called 'Avoid Tarpit ideas". We often don't realize **how high the bar actually is** and how good the products we use actually are.
This is the downside of “Do Things that don’t Scale”. Businesses will pay for a bad MVP if they know it’ll get better with time. Customers won’t pay for a bad MVP. They’ll just ignore you.
I was just thinking of researching the YC company myself, thanks man
There's a reason there is only 18% doing b2c. Finding your audience/consumer can be difficult to find (relative to b2b), then they don't like paying for services, and theres loads of churn.
agreed and on top of that you've giants catering to this audience which can very easily take your audience away.
@@DataSciencewithHarshit I'm trying to build an internet 🛜 company to completely distrupt the internet market worldwide by giving free internet always to audience... already applied to ycombinator
B2B.. relatively it's easier to fake revenue.. say YC companies can use other YC startup services to make its valuation higher for IPO, or next funding round?
@@vijay0exactly. Y Combinator doesn’t teach companies how to make a good product. It gives its companies prestige, which they use to swindle investors and big businesses. It’s just like consulting firms and elite schools.
Not really.
your analysis of high-potential AI use cases is spot on. The video provides a clear framework for evaluating project ideas.
you gained 1 more subscriber with this informative video. Very well articulated.
Welcome aboard!
Interesting and Insightful. Thanks for bringing in a new perspective in AI Industry with your analysis. Worth watching every sec !!
what a beautifully simplified and insightful video!
Please upload a case study of start-ups based on different sectors... Makes more of this kind of videos nicely explained ❤
Awsome Content Harshit......thanks for valuable insights.....keep up...Respect from Bangalore.
This video serves the heaviest drop in my bucket of making an AI startup. I, along w my colg frnd have been deeply involved in ideating over the idea of sy thetic data, esp in terms of Medicine AI training. The target market we agreed on is Indian subcont.
This vid, came at ri8 time, and made my whole AI business research work less cumbersome by providing a summary.
Additional, i would req you to make a vid on synthetic data industry, as it's really new and I myself need exposure about the trends of industry...
धन्यवाद।
Very informative and concise video. I would like to see more contents from you.
Chapters:
0:00 What to build with AI
00:12 Why this analysis
01:08 How to find good ideas?
03:08 Overview of Data
04:35 Hottest industries
05:29 B2B vs B2C
06:24 Infrastructure vs Application
07:58 Untapped industries ripe for AI disruption
08:28 Tech trends
09:41 Types of technical problems to solve
10:32 Potential in Ethical and Safe AI
11:31 Small business vs Enterprises
11:59 AI in Blockchain and Quantum Computing
12:53 YC-backed founder traits
14:58 My recommendation
Introduction and Framework for Choosing AI Projects - 00:00:01
Why Combinator as a Source for AI Trends - 00:01:11
Data Collection from YC's Startup Directory - 00:03:00
Analysis Overview and Use of Gumloop - 00:04:16
Hottest Industries and Sectors for AI - 00:04:49
B2B vs. B2C in AI Startups - 00:06:06
Infrastructure vs. Application Layers - 00:06:36
Automation: AI-Driven vs. AI-Assisted - 00:07:09
Underserved Industries in AI - 00:08:18
AI Technologies Utilized by Startups - 00:08:50
Open Source vs. Proprietary in AI - 00:09:22
Emerging Technologies and AI Trends - 00:09:54
Critical Issues: Data Privacy, AI Safety, Accessibility - 00:10:57
AI for Small Businesses vs. Enterprise Solutions - 00:11:31
Quantum Computing and Blockchain in AI - 00:12:09
Backgrounds of YC-Backed Founders - 00:13:16
Recommendations for AI Entrepreneurs - 00:15:09
Conclusion and Final Thoughts - 00:16:17
I love the clean look of your notes. Could you share the tools you used, particularly for the charts?
The notes are my article on Substack. I use Obsidian for notes.
Charts are created using Python on Jupyter notebooks.
This was very insightful. Thank you somuch!😊
Best video ever!!!!!!❤❤❤
Thank you so muchhh!!!
Did you use airtable for the video? Could you say it is useful to use this strategy towards other industries?
Also, remember that b2b doesn’t necessarily mean business to company, this may mean business to sole proprietor. For example something geared towards drivers or care-givers would be b2b even though there’s a single person on the other end of the solution. Saying this, so you don’t have this view that you need to find a big singular business customer and solve their specific problem, or focus on some generic need of all big businesses.
Hey, well researched content. Subscribed, because we share the same interest in Blockchain.
quite useful. Something I'd like to know is how many of these YC companies are LLM wrappers ?
Very few, I assume because YC has a good selection process with smart folks assessing these companies.
Many may have started from being a wrapper but would have convinced YC by showcasing a roadmap.
I like your analysis Harshit.
Q: Why do you say business will shut with the OpenAI's next model?Please elaborate with example.
Companies that are simply calling OpenAI APIs and showcasing the output on a webpage like travel itinerary or email summary, etc. With Gmail introducing all these features, those companies don't have any future now.
Interesting approach.
Thank you!
Just a thought...does using the number of companies not potentially skew the interpretation, as opposed to revenue generated in that industry, or GDP in the sector, which would show a money-based measure? Obviously, both could be used in coming to conclusions.
Interesting point. As you said, both will be insightful and it all depends on the outcome you're optimising for. My people want to learn more about the kind of ideas they can start building with AI which have some backing and are not just "cool" or "best".
So, this analysis is only catered towards people to find what's worth building and what it takes (people). This, by no means, is representative of all the companies / industries and doesn't capture the market caps, although that would also be a very insightful data point.
@DataSciencewithHarshit Accepted. My point though is, knowing 20 YC companies are present in a sector, for example, wouldn't seem to me to get you closer to a decision to enter there since those 20 could be small or large, their revenues could be small or large, and the industry GDP could be small or large. Please don't take what I am saying as a criticism, beyond wondering whether your analysis would provide the information needed. I just think, without having a financial metric or two thrown in, that provide the size, growth possibilities, potential barriers etc of a sector, comparing sector based on the number of companies alone could lead to joining one with fewer companies, only to discover it's actually "crowded" even with a small number of firms vying, with revenue hard to pry from the hands of clients and competitors.
Your analysis is definitely food for thought, regardless of my observation, so many thanks for putting it together!👍🏼
I subscribed to the newsletter but didn't get the database
Interesting insights
nice! interesting!
Interesting insights, thanks for sharing it
does the shure mic record the background ceiling fan noise ?
thats interesting
Solution for retail chains means you will have to provide support 24 *7
Can you create a video about how do you scraped these data and structured it
Check out my video on Gumloop.
this is inspiring.
Worth watching 👍
Really great insights at last what is mean by wrappers?
Startups that are built on top of API calls and minimal engineering
@@DataSciencewithHarshit Ok we are at our company creating Saas product using this Llm's API's leveraging RAG
Interesting insights!!
Hi Harshit great content , is it possible to talk with you ? I wanted some guidance on data and research part
thank You for the Wonderful Insight!
Both won for Life .
What did you use to build this report using that Airtable data?
Jupyter Notebook
As a business opportunity, what if the Ai NWO was worse than anyone thought? Swell robots everywhere causing ai jobloss for everyone. Abruptly ceasing humanity. Shouldn’t it be us demanding to cease Ai, first?
i cant access to your discord i woule like advice😊
discord.gg/RdN7gh5f
Can you name the companies participating in this data points
Check the description