Crypto jitna bada scam tha 
 Utna hi bada genAi ka disruption hoga🥹

Software Developer

Hype is real. Lots of low tail jobs are going/have started to vanish

Here you go: 
 https://www.ft.com/content/b2928076-5c52-43e9-8872-08fda2aa2fcf

Chief of Staff

Checkout personate.ai . They have built Sana new anchor you see on Aajtak

Software Engineer

Founder’s Office

so, its generative AI now. what  happened to web3?

Consultant

Is it another crypto? 😜 or is the hype real?

Welcome to Indian Startups's Private Community

Which startups are working on Generative AI?

Which startups are working on Generative AI?- Grapevine

Have seen atleast a couple of trends die out, which were introduced to us as "future" i.e blockhain / crypto - we aren't seeing people talk about it as much they did in 2021-2022.

Remote work - they said it will be future. 
Now many offices firing if employees not reporting to office

Is generative AI going to be next on the list? Or which other trend do you think belongs to this list

Future of trends!!!

Welcome to Software Engineers's Private Community

Silly question I want to understand what is AI ? and it’s really exist or just hype and kindly suggest any links or anything to understand it

Welcome to News Discussion's Private Community

I think this whole Hungama around generative AI will go the crypto way. Apart for some nifty hacks whole thing doesn’t have legs.

Generative AI

Product Owner

Welcome to Data Scientists's Private Community

Which Generative AI product is your team/company building?

I have two years of experience as ML engineer/ Data Scientist and I m trying to switch to Generative AI role . Currently I am getting 8 LPA,which is very low. 

What salary should I ask for market standards for Generative AI Engineer role?

Generative AI role

Data Scientist

There are multiple companies worldwide leading the forefront of AI, with inovative strides in GPTs, Multi Agent models, GANs etc. However, most Indian AI startups are not working on the cutting edge. Rather, most of them are building wrappers around GPT-4 for a consumer experience.

With the lack of any meaningful innovation within this space, is it unreasonable for Indian founders to raise on similar multiples as our counterparts in the west?

Because honestly? I can see a lot of "crypto-nerd" founders shilling the new oil called "AI" after their previous NFT/crypto/ICO-crap didn't float.

[Thread] Will AI in India be the next Crypto?

Product Manager

Which are promising Gen AI startups from India?

Project Manager

Welcome to Product Managers's Private Community

hi all, 

i’m just curious how diff companies (including startups ofc) are leveraging gen ai. some questions: 

* are y’all using copilot / other similar tools ? 
* is your company giving you any gpt subscriptions? 
* is your company paying for any ai product or tool or consultancy? 

can share more apart from these qns as well! for mine, almost none so far

How is your company using generative ai/llms

A lot of noise around AI taking coding jobs, which i fear might be real. Like not completely but you get my point. So how should one upskill themselves (especially the average folks, top 1/2% will not be affected in any field imo) for the upcoming shift? Like will data analytics/science or maybe ai/ml engineering jobs be on rise ? Should be start upskilling in those fields or any other suggestions? I would really like to know it from someone who has good experience in the industry or someone with good insight. Thanks

Jobs which will be created /not impacted by AI

Seeing this for a few weeks now. Noticed it when PG tweeted about how there are 100 ai startups in the batch and all are legit. That is none of then it’s phony or opportunistic. He also talked about how domain experts are building in AI and great founders. 

Then saw Garry Tan promoting the batch and retweeting others doing it. A couple of other partners talked about the companies they are excited about too. 

To me, this signals that yc isn’t getting the kind of interest they used to get and they have to promote the quality of the batch to be able to generate enough interest. For the first time in 10-15 years maybe. If they have to do it to ensure the companies are getting enough funding interest, what about startups without a brand name behind them. 

We will see more of these as we get close to the demo day. Most startups are just ai wrappers or agents. Not sure about the exact differentiation between them. Not clear from the descriptions or websites.

Shower Thought: the market is so bad, even yc partners have to promote their startups

Founder

Is the tech. industry declining? What should the newcomers know before opting for this particular career path? Is there anything to fear about? A hype about the tech. jobs in society and especially in families of students choosing their career has made me ask this question. I hope a clear discussion with people who actually know about it will help.

Recession and increase in unemployment

Would you rather be an Engineer learning how to Product or a Product Manager learning how to Engineer?

Answer is obvious mate. And it's already in motion. 
 Everyone knows current product management breed is a messed up fraudulent bunch. They will run into poverty if they don't change ways🙂

Founding Engineer

Is there anyone here who is into Generative AI testing or development as part of the job role? 
The LLMs today are at best generic question answering machine. The answers are not deterministic. How do you think would these be deployed at scale?

Generative AI testing or development?

What would happen to all the AI startups that are raising massive rounds at insane valuations once OpenAI improves GPT-4 (some spicy rumours are going around) or comes up with GPT-5?

Most of these "AI" startups are just a wrapper around these existing, capable LLMs. Better versions of these LLMs would start generalising more and doing those specific functions done by these startups much better.

Future of GPT-wrapper "AI" startups

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it

A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup 
I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that.

Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI.

Look forward to all questions :)

AMA 🎙️: Hi, I am diffusedbandit, Senior ML Engineer at an Indian Unicorn

For me? It was GradCAM was a gamechanger at selling computer vision initiatives internally to the non-technical stakeholders. 

The gradCAM function computes the importance map by taking the derivative of the reduction layer output for a given class with respect to a convolutional feature map. If you have a 5 layered convolutional neural network, then you can use this against any layer and check the class activation map.

The best explanation to give is:
"Regions in Red are the areas of the image that the neural network is looking at to make a decision"

Well to be honest, regions in red represent the class activations arising from that region but, it would be too much for normie business guys.

As someone in AI, which concept blew your mind away when you first learnt about it?

Robotics Engineer

no crypto news/startups in the market. where has everyone disappeared?

Was crypto a big scam? also is AI the new scam?

Been spending way too much time on Grapevine lately - absolutely loving it @Micheal_Scott!

Posted the Prosus report takeaways yday - lots of you DMed asking questions. Then I saw NewsAnchor break down the entire Prosus Annual Report - great stuff.

I was an Associate at one of the largest VC funds in India, so I enjoy going through new reports and summarising them - found my notes from Bain's India Venture Capital Report 2024. Thought of sharing the unedited summary that I shared with the Partners at the fund, have a bunch of these - can share more if of value to any of you here (ofc removing the confidential parts)

Notes:
1/ India's maintaining its gravitational pull despite the global funding crunch. Sure, overall funding nosedived 63% to $9.6B, but we're still the #2 destination in Asia-Pacific. Might not necessarily be a crash, it's a necessary course correction.
2/ Early-stage investing is showing remarkable resilience. Seed deals now comprise 70% of all deals, up from 60%, with average check sizes holding steady at $1.4M. Smart money is quietly positioning itself for the next wave of innovation.
3/ The tech-only playbook is being rewritten. While consumer tech, fintech, and SaaS still command 60% of funding, traditional sectors like BFSI are gaining ground, with average deal sizes jumping from $8M to $15M. We're witnessing the birth of tech-enabled, not just tech-centric, growth stories.
4/ The unicorn factory has hit pause, with only 2 new billion-dollar valuations vs. 23 in 2022. Mega-rounds ($100M+) plummeted from 48 to 15. This isn't a drought; it's a return to fundamentals. The era of grow-now-profit-later is firmly behind us.
5/ Generative AI isn't just hype; it's reshaping the landscape. Funding exploded from $15M to $250M, with 80% flowing to existing companies integrating AI. India's quickly becoming a laboratory for practical AI applications, not just speculative moonshots.
6/ Electric mobility is rewiring itself. While overall funding dipped slightly to $600M+, charging infrastructure investment surged 50%. The real opportunity isn't just in vehicles; it's in building out the entire EV ecosystem.
7/ Exits are defying gravity, leaping 1.7x to $6.6B. Public market sales led the charge at 55%, even as IPOs cooled. LPs are getting liquidity, and the secondary market is proving surprisingly robust. There's still appetite for quality assets.
8/ PE is no longer just watching from the sidelines. These players doubled their share to 25% of investments, going toe-to-toe with traditional VCs. The lines between growth equity and venture capital are blurring, and it's changing the game for late-stage rounds.
9/ We're watching natural selection in real-time. Yes, 35,000+ startups shuttered and 20,000+ layoffs hit the headlines. But companies like Groww and Indifi turned profitable. This isn't a bubble bursting; it's an ecosystem strengthening its foundations.
10/ Domestic VCs are coming of age. While overall fund-raising halved to $4B, homegrown VCs led 90%+ of raises. They're not just following; they're specializing, with thematic funds like Omnivore's $150M agritech vehicle. The ecosystem is bootstrapping its own future.
11/ Regulation isn't just tightening; it's evolving. Angel Tax expanded and lending norms got stricter, but we're also seeing innovative policies like UPI for foreign travelers. India's crafting a uniquely balanced approach to fostering innovation while maintaining stability.

Topics we can discuss during our standup:
1/ Can India produce global tech giants if it's primarily adopting rather than pioneering in areas like AI? How do we enable this?
2/ How will the shift towards profitability impact India's ability to foster truly disruptive innovations? Implications for us, how should we be evaluating deals differently?
3/ With domestic VCs leading the charge, how will this change India's startup narrative on the global stage?
4/ Is this maturation setting the stage for more resilient, globally competitive Indian startups, or are we risking our innovation edge? How do we look at thesis driven investing v/s fomo investing?

Link to Bain's report - https://www.bain.com/insights/india-venture-capital-report-2024/

P.S. Do note that this is 6+ months old - data points mostly look diff now but sharing it anyways. Will post more as and when I get time :)

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