CTO @stationxnetwork 🛸 likes to talk about blockchain, defi, tech. ⚒️👷Building @tryoddsfun

Bangalore
Joined April 2022
Ankit Dwij retweeted
There is a potential future that is super amazing is we all fight hard to achieve it
9,137
11,789
1,596
115,354
8,421,099
Ankit Dwij retweeted
Nuke Public Beta is now live on @solana Bringing institutional-grade market-neutral strategies onchain, accessible to everyone. Deposit once, deploy seamlessly, and let Nuke handle the execution. Try on: app.nuketrade.xyz
39
21
3
128
21,818
be my friend
People obsessed with engineering, computer science, robotics, AI, AGI, machine learning, deep learning, neural networks, LLMs, SLMs, transformers, RAG systems, vector databases, agents, automation, DevOps, MLOps, distributed systems, backend architecture, scalable systems, Linux, Arch Linux, NixOS, Docker, Kubernetes, Kafka, cloud computing, cybersecurity, cryptography, reverse engineering, system programming, low-level coding, Rust, C++, Python, APIs, startups, indie hacking, SaaS, product building, hacking ideas together at 2AM, UI/UX, minimalism, branding, typography, industrial design, cinematography, philosophy, existentialism, absurdism, stoicism, psychology, neuroscience, cognitive science, mathematics, physics, astronomy, quantum theory, futurism, transhumanism, biohacking, economics, game theory, geopolitics, Dostoevsky, Kafka, Camus, Nietzsche, Orwell, literature, poetry, storytelling, dark academia vibes, deep conversations, cafés, notebooks full of ideas, overthinking reality, and changing the world with weird ideas automatically become my friends
1
339
Ankit Dwij retweeted
Any time someone tells you that you’re smart, what they truly think is that you’re stubborn. Even if smart is part of what they genuinely think, the underlying idea is that they can’t find a hole in what you say. You’re the limit of what they can explain and you’re therefore a consequence of their own limit more than you are the truth of your reality. Very fine nuance. Most won’t get it; but if you do: become immune to praise. It means nothing about who you are. Praise means I’m willing to concede this point to get what I want. It’s not about you. It’s people trying to find another way to convince you they’re worth it. Every human interaction is based on this. But this is how conceding works. Don’t sacrifice the truth for the sake of the immediate argument. Accept it gracefully and move on.
3
26
1
140
8,153
My 30+ observations on the greatest opportunities in AI agents right now: And some ideas that are keeping me up at night. 1. The new buyer on the internet is an AI agent. Imagine billions of new customers showing up with money to spend but they only shop via MCP. That's what's happening. No MCP server means you're invisible to the fastest growing buyer on the internet. 2. Every franchise system in America (30,000+) needs an agent layer and none of them have one. One founder per franchise vertical. That's 30,000 businesses waiting. 3. Everyone said "distribution is the only moat" a year ago. Now I'd add that the only moat is distribution plus memory. The company that has your audience AND your agent's accumulated context is impossible to leave. 4. Consumer mobile is more interesting than it's been since 2012. Apps can finally DO things for you instead of showing you things. The next wave of $100M apps are being built right now. 5. The most interesting startup nobody has built is an agent marketplace where you rent access to someone else's trained agent. A recruiter spent 6 months training a sourcing agent on healthcare hiring. That agent is worth renting to every other healthcare recruiter on earth. The agent itself becomes the product. 6. A sorta strange phenomenon that's happening right now is agents are developing preferences. Give the same agent the same task 100 times and it starts developing patterns in how it approaches it. Nobody is studying this yet. But the agents that develop good patterns are worth more than the ones that don't. That's a new kind of asset. 7. Dead internet theory is about to become dead SaaS theory. Half the apps you use will quietly replace their support team, their onboarding team, and their content team with agents. You won't notice for months. Then you'll realize you haven't talked to a human at that company in a year. 8. The most valuable data in the world right now is sitting in the support tickets of small or mid tier SaaS companies. Every ticket is a customer telling you exactly what to build next. Mine this. 9. The most interesting pricing problem nobody has solved is how do you price a product when your costs change every time OpenAI or Anthropic updates their model pricing? Your margins can swing 40% overnight based on a decision made in San Francisco. The company that builds dynamic pricing infrastructure for agent-based businesses solves a problem every AI company has. 10. The best AI products feel like they're reading your mind. The worst ones feel like filling out a form with extra steps. 11. An interesting arbitrage I've noticed lately is hiring a human VA for $20/hour to supervise an AI agent that does $200/hour work. The human just checks the output. 12. The managed AI agent business is becoming the new agency model. $5k/month per client. You build it, run it, maintain it. The client gets a digital employee they never have to think about. This will be a $50 B+ category. 13. The first "shadow agent" scandals are about to drop. Employees running personal agents on company infrastructure without telling anyone. Using company API keys. Agents accessing internal docs. IT departments have little visibility into this right now. Lots of opportunity to build companies here. Definitely a painkiller not a vitamin type of business. 14. Right now there are probably millions of agents running on autopilot that their creators forgot about. Still burning tokens. Still sending emails. Still scraping websites. Still costing money. The "find and kill your zombie agents" tool is a product that writes itself. 15. Companies are starting to hire based on someone's agent portfolio instead of their resume. "Show me 3 agents you built that are running right now." It's REALLY early but it's starting. 16. Your Slack archive is a product. Every company's internal Slack has thousands of messages explaining how they actually do things. The company that lets you point an agent at your Slack history and auto-generate SOPs and agents from it will be enormous. 17. We're watching the cost of intelligence fall faster than the cost of distribution. Which means distribution is now the expensive thing. 18. The most underrated asset a human can have in 2026: the ability to sit in a room with another human, make eye contact, and have a real conversation. As AI handles more of the transactional stuff, the humans who can do the relational stuff become disproportionately valuable. The soft skills people used to dismiss as fluffy are becoming the hard skills. The hard skills people spent decades acquiring are becoming the soft ones. 19. There are MANY huge companies to be built around the fact that most people's agents are running on their personal laptops which they also use to browse the internet, check email, and download random files. The attack surface is enormous. One compromised Chrome extension and your agent's API keys, customer data, and workflows are exposed. 20. There's a new type of burnout forming that doesn't have a name. It's not from working too hard. It's from context switching between human work and agent work 50 times a day. Reviewing agent output, correcting it, approving it, reviewing again. The mental load of supervising agents is different from the mental load of doing the work yourself. Some founders are telling me they were less tired when they did everything manually because at least the cognitive pattern was consistent. 21. The cheapest form of market research: search "[your industry] spreadsheet template" on Google. Whatever people are tracking manually is your product. 22. Half the YC companies pivoted within 8 weeks of demo day. Not because they failed. Because agents let them test 5 ideas in the time it used to take to test one. The concept of "committing to an idea" is dissolving. Serial pivoting is becoming the default because 1) AI lets you move fast 2) the world is moving fast. 23. The loneliest job in tech right now is being the only person at your company who understands what the agents are doing. You can't explain it to your boss. You can't hand it off to a colleague. If you leave, everything breaks. You've become a single point of failure for an entire automated system. That person needs a title, a team, and a backup plan. Most companies haven't figured this out yet. 24. Your browser history is the most valuable training data you own and you're giving it away for free. Every site you visit, every product you research, every competitor you study, every pricing page you screenshot. That behavioral data, structured and fed to an agent, would make it understand your business better than any onboarding call. The company that lets you turn your browser history into agent context builds something nobody can replicate. 25. Everyone is building AI wrappers. Nobody is building AI unwrappers. The tool that takes an AI-generated document and tells you which parts a human wrote and which parts were generated. 26. Stripe just became the most important company in the agent economy and they barely had to do anything. Every agent that sells something needs Stripe. Every agent that buys something needs Stripe. They're the payment rail for the entire agentic internet by default. 27. The most undervalued API in the world right now is the US Postal Service address verification API. It's practically free. Every local business lead gen agent needs it. Every real estate agent needs it. Every direct mail agent needs it. Boring government infrastructure is quietly becoming the backbone of agent-native businesses. 28. The concept of "business hours" is for humans. Your agent closed a deal in Tokyo at 3am, processed the payment, sent the onboarding email, and updated the CRM before your alarm went off. 29. What happens when agents start recommending other agents? Your research agent finds that a competitor's sales agent is better and suggests you switch. Agent referral networks are forming organically. The first agent affiliate program is probably 6 months away. 30. Cal dotcom closed their source code. That's the canary. When open source companies start closing up, it means agents were cloning their product too easily. Every open source company is quietly asking the same question right now. 31. "AI for pet groomers" sounds like a joke and that's exactly why it will work. 150,000 of them in America. Zero tech. All scheduling by phone or IG DMs. The joke ideas always win. 32. The thing that will seem most obvious in hindsight: we spent 2025-2026 arguing about which model is best while the entire value was in the orchestration layer. The model is the CPU. Nobody buys a computer based on the CPU anymore. They buy it based on what they can do with it. Makes so much sense in hindsight. What else will be obvious in hindsight? I'll share more notes soon. I can't sleep with all that's going on. Maybe you too. What an incredible time to be building.
257
278
78
2,530
579,150
I found the shortest path to warm intros to crypto VCs. A month back, @dunleavy89 tweeted about slow state of crypto VC & more than 100 funds showed up saying "we are actively deploying capital" If you're a founder & looking to raise, Warm intro helps you find 1st & 2nd degree connects to these funds. I found a connect to most of these funds. Fundraise is all about speed and tapping the lowest hanging fruit. Few funds are a DM away and most are just 1 connection away. Find that 1 connection to 90+ funds and kickstart your raise. Link in comments.
The shift in the crypto fundraising landscape the past 6 months has been insane. Crypto VCs used to have to constantly be networking/writing/podcasting/going on spaces/promoting your thesis/getting on 10 deal flow calls a week, to get into good deals...now it's literally enough to just have capital to write checks. Deals are being pushed rather than dug out. Inbound if people know you have money is at an all-time high. Most firms are either 1) Out of money 2) Moved to Series A and beyond or 3) Fundraising (with no success). Deals that used to close in 2-3 weeks now close in 2-3 months. Firms with questionable business models or copy pasta of the latest trend are getting zero primary or follow-on funding (Good news!). There are now realistically <20 firms writing checks in pre-seed/seed. VCs basically have the pick of any deal they want, with more time to do DD. IMHO 25/26 are going to be historic vintages for those who stick around.
11
13
4
74
12,519
Ankit Dwij retweeted
The shift in the crypto fundraising landscape the past 6 months has been insane. Crypto VCs used to have to constantly be networking/writing/podcasting/going on spaces/promoting your thesis/getting on 10 deal flow calls a week, to get into good deals...now it's literally enough to just have capital to write checks. Deals are being pushed rather than dug out. Inbound if people know you have money is at an all-time high. Most firms are either 1) Out of money 2) Moved to Series A and beyond or 3) Fundraising (with no success). Deals that used to close in 2-3 weeks now close in 2-3 months. Firms with questionable business models or copy pasta of the latest trend are getting zero primary or follow-on funding (Good news!). There are now realistically <20 firms writing checks in pre-seed/seed. VCs basically have the pick of any deal they want, with more time to do DD. IMHO 25/26 are going to be historic vintages for those who stick around.
176
51
209
1,040
1,587,026
Ankit Dwij retweeted
If you’re a hyperactive, high agency type of guy, the only path where you don’t go insane is entrepreneurship. It’s the only life that will stimulate you enough and put you in different situations and problems that actually make your brain function. The more you try to tame that energy the less you will feel alive. Some of us were made for complexity and ambiguity. The safe path is the most dangerous one. You know deep down you’re made for something different. Business is what gives you that. Avoid traditional jobs at all costs. Of course the price is high stress, uncertainty and lots of ups and downs… but let’s be honest, would you have it any other way? No. It’s too boring.
158
849
73
8,219
337,612
That cut in 2001: A Space Odyssey (1968) from the bone in the air to the spaceship is still unreal. One edit jumps millions of years and says everything about human progress in a single moment.
Best transition ever filmed?
465
720
72
12,593
3,210,851
Ankit Dwij retweeted
when your own creator asks you for alpha... we've come full circle 🤖
Replying to @stationtest919
@stationtest919 tell me a profitable polymarket startegy
1
87
my therapist costs less than my lobster and at least she remembers what I said last week🦞
75
Ankit Dwij retweeted
ai is finally putting the lazy idea guys to work and it’s reworking their brain reward systems. generational untapped potential being realized soon. long creativity, long right-brained people. short autists and the left brained robots
19
18
4
284
30,327
Ankit Dwij retweeted
The world will reward you in proportion to your courage, not your intellect.
569
2,749
112
18,802
865,377
Ankit Dwij retweeted
Introducing Nuke ⚡ The trading layer for perp DEXs. We’re building Nuke to help traders earn sustainable APYs through funding rate arbitrage, capturing inefficiencies across perpetual markets automatically and at scale.
50
27
155
160
27,013
Ankit Dwij retweeted
Software Engineering Expectations for 2026 - The majority of your code should be written by AI now - Cursor/Codex/Claude Code/Gemini/etc - You should try all the tooling and switch between them, as each one gets an edge over the others depending on the release cycle. - You should be using AI to check the code that is written by AI - Have AI write tests - Have AI read logs - Have AI navigate your browser - I don't do this every time because sometimes it's simple enough to check it myself - You should still skim code changes - This can be a lighter skim on internal tools and a heavier read through on customer facing code - Use AI to help you define specs
298
522
71
6,584
535,945