Aditya Kumar

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Aditya Kumar

Aditya Kumar

@theguywithideas

founder @smartbdmai . Tweets about Tech and startups. Prev - @ArreTweets & @leherapp. Second-time founder.

Bengaluru, India Katılım Nisan 2011
408 Takip Edilen539 Takipçiler
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Aditya Kumar
Aditya Kumar@theguywithideas·
We're hiring our next Senior Sales Executive at smartbdm.ai Every growing business in India runs on the same broken loop — leads come in faster than teams can respond, customer data is scattered across five tools, and half the follow-ups promised on Monday are forgotten by Friday. Businesses have spent years layering more software on top of this problem. It's only gotten worse. We're building SmartBDM to collapse that entire stack — CRM, WhatsApp, lead management, sales engagement, conversation intelligence — into one AI-first platform. Reps update deals by speaking a voice note in any Indian language. AI does the rest. Teams go live in 7–10 days and save ₹14–20 lakhs a year versus their existing tools. The product is working. The market is ready. We need someone to go get it. What I'm looking for: 1. 3–6 years of B2B SaaS or solution sales 2. Full-cycle closer — you've carried a quota and hit it 3. Comfortable in meeting client in their offices (30% travel) 4. Can hold your own with founders, sales heads, and finance teams in the same meeting 5. Fluent in English and Hindi; other Indian languages a bonus 6. Hungry, curious, and okay with writing the playbook instead of inheriting one This is an early-stage seat at a company going after a very large market. If you've been waiting for the right moment to bet on yourself, this might be it. JD link in the comments. DMs open. Referrals appreciated.
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Aditya Kumar
Aditya Kumar@theguywithideas·
@suritalreja Is there a minimum order value for free deliveries? Or you the delivery charge?
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Aditya Kumar
Aditya Kumar@theguywithideas·
@justinskycak The AI companies that finally succeeds will be the ones that solve for exactly this.
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Josh Pigford
Josh Pigford@Shpigford·
everyone talks about how all the frontier labs are eating companies left and right with new features. but i swear i've stopped using at least a dozen random SaaS tools because @cloudflare has quietly shipped entire replacements for them.
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Aditya Kumar
Aditya Kumar@theguywithideas·
Increasing efficiency requires 1. Acceptance that it needs to increase 2. Curiousity on what are the gaps and best solutions to those problems (AI or not) 3. Actively take efforts to try the solutions and iterate based on learning. All of these are high effort, medium impact items. They will never be organic behaviours in masses. Ever. AI or not.
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Paras Chopra
Paras Chopra@paraschopra·
Been wondering lately that given everyone has a consultant with all the world’s knowledge in their pockets, we should be seeing efficiency rise across the board everywhere. Literally everyone can now get personalised advise on how to serve their customers better, improve quality of their outputs, cut inefficiencies and increase revenue. .. yet, this is nowhere to be seen (especially for small local businesses). Why aren’t we seeing the rate of change accelerate in the world? One possible explanation is inertia, and there’s some truth to that. But perhaps a better explanation is that perhaps advice was never a bottleneck. Maybe implementation was? Or perhaps most businesses are already in their local optima and any change is too risky for them to bear? This, of course, is theory of constraints and it explains a lot: when outputs are a result of many factors, when one factor is made efficient, what holds back output is the slowest changing factor.
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Vijay Shekhar Sharma
Vijay Shekhar Sharma@vijayshekhar·
1. Once you get used to using a model often, it will understand you better than a new model. Effectively like your best core teammate who knows you. You will prefer to replicate it instead of switching. 2. The more a model or agent is used by more of the same kind of people, the more it becomes a super expert in that. This is better than network effect. (The term distillation will be heard more often than network effect in the AI age.) 3. While training costs are high today, over time—just like video streaming—token costs for AI inference will be so low that we will use it in all use cases. Today’s internet will seem like a feature phone in the era of smartphones. #aiBull
Diva Jain@DivaJain2

Economics of AI are fundamentally different from what has made Big Tech cash flow rich. There is no network effect, switching costs are low and marginal cost of additional customer is not close to zero.

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Aditya Kumar
Aditya Kumar@theguywithideas·
The Delta created by Claude design is insane! The rate limits are a bit less, but i am sure the moment they get rid of those, most design workflows will shift here! Both AI and normal editing capabilities are so good.
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Aditya Kumar
Aditya Kumar@theguywithideas·
@kushgrwl Interesting. I thought a dedicated guy would be required to fulfill all pickups at time and that becomes a bottleneck for good customer experience. Atleast thats how its working in Bangalore, where I live.
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Aditya Kumar
Aditya Kumar@theguywithideas·
@WandersWithVik Yes. The online economies cannot be a hostage to a handful of platforms. They are classic single point of failures. We need a UPI moment for solving the top of the funnel problem to unlock true potential of digital economy at true India scale.
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Vic TheLooser
Vic TheLooser@WandersWithVik·
@theguywithideas Spot on. India's digital growth can't be built on rented land. Independent top-of-funnel at scale isn't nice-to-have, it's the infrastructure layer the whole ecosystem stands on.
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Aditya Kumar
Aditya Kumar@theguywithideas·
The single biggest challenge to India' digital consumer tech growth story is our dependence on Meta and Google for top of the funnel. There is quite literally no other way to reach prospective customers at scale. If there is something worth funding/building - This it it!
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Aditya Kumar
Aditya Kumar@theguywithideas·
As a techie, I know for a fact that building that ad engine is a relatively easy job. Can be done with talent we have here (as long as we pay them well). Its the behaviour these platforms have trained. The natural pull factor they have. If we are able to replicate that or appeal to a baser desire (like getting money and fame), then we have a fighting chance.
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Aditya Kumar
Aditya Kumar@theguywithideas·
@_swanand They cant. They converted it to vector and archived it after nothing was flagged
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Swanand
Swanand@_swanand·
Hey FBI, I forgot to turn on my AI note taker for this long 3 hour discussion I just had. Can you please send over the transcript, I’ll do the rest. Thanks.
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Aditya Kumar
Aditya Kumar@theguywithideas·
@kushgrwl The fact that so many people know what EBITDA means is the problem. All the accounting magic that funding cycles run on will bite back at scale in near future. Compounding works both ways. I'm surprised investors havent realized it yet!
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Aditya Kumar
Aditya Kumar@theguywithideas·
@andrewchen Theory - PM know what to build Reality - PM understand the least about the product they are incharge of. Tech, Business, Growth or even product - They dont have full or even acceptable understanding of any of these dimensions
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andrew chen
andrew chen@andrewchen·
bullish on the PM role quietly becoming the most important role in tech again when anyone can build, the person who decides WHAT to build becomes the bottleneck
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