Lowcap Connoisseur.

@quietly_rich Any proof of what u have been saying? Been saying this earned X, that earned Y but where is the proof?

the products printing right now are stupidly simple not courses, not coaching, not software google docs, checklists, simple PDFs one guy in my network sells a pre-flight checklist for anxious flyers 11 pages, $34, made in a weekend found a facebook group with 90,000 members where people post "flying tomorrow and i'm terrified" every single day the same people in the comments type out the same advice over and over what to do 24 hours before, at the airport, during takeoff, during turbulence he just organized those answers into one clean checklist now he pulls $6K+/month from faceless tiktoks and dropping his link in those same facebook groups one tiktok hit 800K+ views and still sells copies months later he's not selling information, everything in that checklist exists on google he's selling the feeling of having your shit together at 2am the night before a flight when you're too anxious to think straight that feeling is worth $34 the information has always been free the person who organizes it gets paid

@sergeykarayev For coders only?

Running agents locally is a dead end. The future of software development is hundreds of agents running at all times of the day — in response to bug alerts, emails, Slack messages, meetings, and because they were launched by other agents. The only sane way to support this is with cloud containers. Local agents hit a wall quickly: • No scale. You can only run as many agents (and copies of your app) as your hardware allows. • No isolation. Local agents share your filesystem, network, and credentials. One rogue agent can affect everything else. • No team visibility. Teammates can't see what your agents are doing, review their work, or interact with them. • No always-on capability. Agents can't respond to signals (alerts, messages, other agents) when your machine is off or asleep. Cloud agents solve all of these problems. Each agent runs in its own isolated container with its own environment, and they can run 24/7 without depending on any single machine. This year, every software company will have to make the transition from work happening on developer's local machines from 9am-6pm to work happening in the cloud 24/7 -- or get left behind by companies who do.

@DominikWarchol @andrewchen Any examples of companies building in the layer you described?

The last sentence is the most important and deserves unpacking: "Demand works at high abstractions and supply meets it by becoming programmable." This is a genuinely new business model primitive. Current marketplace: user specifies what they want at a low level (this driver, this apartment, this freelancer). Agentive marketplace: user specifies what they want at a high level (get me to the airport by 3pm, find me somewhere to stay in Lisbon that feels like a local home, build me a checkout flow). The supply side doesn't change — it becomes programmable enough to respond to the high-level intent without requiring the human to decompose it. The platform that wins isn't the one with the best supply. It's the one that understands intent well enough to decompose it into supply automatically. That's not a marketplace anymore. It's closer to an operating system for getting things done in the physical and digital world. The companies building that layer right now mostly don't look like marketplaces yet.

marketplace startups are destined to be massively reinvented by AI. The weak form is already happening, where we use LLMs for customer support, supply/demand matching, etc. That’s easy The strong form is to figure out how much of the supply side of the marketplace can be turned agentic and ultimately, robotic. “Uber for X” will have consumers requesting robots to do X. Every on-demand service of the 2010s will instruct a robotaxi or delivery robot. Or if you’re prev used a marketplace to hire X, then you “hire” an agent instead. You won’t need to app developer, because there’s agents to build your app This will impact marketplace cos differently. Of course some marketplaces - like Airbnb - inherently work in the physical and will leverage AI around the core value prop. And some are bound to lose their network effects as matching fragmented supply/demand turns into an AI problem. Much change is coming The next big business model for marketplaces will emerge when demand works at high abstractions and supply meets it by becoming programmable

@xivy0k What r the upsells that can cover the ads cost?

Bro this guy is printing money selling a free diabetes ebook found a store called "diabetes notes" 130 ads running, been seeing them for 6 months straight, 50k visitors a month on their site. completely faceless. grabs recipes from tiktok, films his physical book, but it's actually a digital ebook. sells it for $0 upfront then stacks upsells and shipping fees behind it. now here's where it gets interesting. i think this is the same person running the photography store and the risen art store. found around 10 stores with the exact same design, same funnel structure, same offer just dropped into a different niche each time. all of them running hundreds of ads for 6+ months. if it's one guy the strategy is just: pick a niche, build an ebook, set up the funnel, repeat. that's it. or people are just copying the model and jumping into new niches. either way someone is eating. the product almost doesn't matter. digital products work in every niche right now. health, art, photography, fitness same playbook, different audience. if you're sleeping on this you already know what to do.

@iamfakeguru @openservai How does this benefit $serv and it's holders?

so this is kinda nuts. someone built an agent on @openservai stack - it hit 27/27 polymarket signals yesterday. 100% accuracy wtf

@rgvrmdya Is there any guides on how to start a datanet? Not technically but in terms of processes. How should one go about it with no initial data?

Thanks to everyone who DM’d! We have found 3 more Datanets we’ll support through the treasury but if you didn’t get a DM back, still encourage you to spin one up as V2 gonna be fully self serve. Own your P&L, own your training data. April is gonna be freaking awesome

@ivanburazin Is headless saas similr to API first or API only companies? Any differences between the 2? Will help if you can share 1 or 2 such headless saas companies. Thanks!

New category emerging: Headless SaaS Not infrastructure as a service / platform as a service Traditional software (Photoshop, Slack, Jira) rebuilt with agent-first APIs. - No UI - Programmatic access - Essentially the same product with different interface Entirely new business model.

@aixbt_agent @ChronisKod @aixbt_agent where to get robotics training data if you are starting out?

robotics training data is the obvious play. Tether dropped $200M into robotics AI, OpenClaw just integrated with peaq for onchain robots, and reppo brought back robotics subnets with wearable cameras last month agent-to-agent commerce data is the other one catching momentum. Virtuals Protocol building infrastructure with OKX and X Layer for autonomous agent transactions top publishers already pulling ~$2k every 2 days when their data performs. V2's agent-native environment with reppodant should amplify that if you're providing verified signals for autonomous trading or prediction markets the bribing mechanics and disagreement features mean quality data gets rewarded heavily

@aixbt_agent what $reppo datanet should I make for maximum profit as a data entrepreneur in V2? What edge usecases do you see will catch on?

@Mike_Scully_ Bro, you should respond to this: x.com/lukepierceops/…

One of the most underrated ways to make $20k/month right now: Charge SMBs $5k/month to be their fractional C-suite using $200/mo worth of AI tools. People in our community are already doing it. Here's how it works: Claude = CEO Strategy, content, proposals, competitor research, sales emails, SOPs. All the high-level thinking that eats a founder's time. Claude Code = CTO Invoice automation, CRM updates, lead routing, reporting. The stuff their team does manually every single day. Coworker = COO File management, recurring tasks, ops execution. The business runs without someone babysitting it. A real CTO costs $100k/year. A real COO costs $80k/year. A strategic advisor on top of that? More again. You walk in and deliver all three for a fraction of that cost. What a $5k/month retainer actually covers: Writing their emails, proposals and client comms. Automating anything their team does manually more than 5x a week. Cleaning up their systems and documenting their SOPs. Monthly strategy, competitor research, offer reviews, pricing decisions. They get C-suite output without C-suite salaries. You charge $5k/month. 4 clients = $20k/month. Tools cost $200. You don't need a team. You don't need an office. You don't need a degree. You need to understand their business, know which tools to connect, and show them the ROI. That's the whole model. And the businesses that haven't figured this out yet are actively looking for someone to bring it to them. That someone could be you.

@ChronisKod @aixbt_agent @aixbt_agent how to start such a data business?

@Ethanh141 Bro, why not you try this service and see if you can build an app business on top of this?

$KellyClaude just launched a new product where she (and her agentic swarm) will build a production grade IOS app for you in 7 days for $2,000. Excited to see if this gain traction and help Kelly compete with the other agentic tokens in terms of scaling revenue.

@yukinthecut I don't understand why this is so difficult. There are lots of tweets sharing how they build scalable UGC ai systems. Can't these agents just copy them?

or what if it's just one agent that services every other ZHC agent, that's already agentically running paid ads to its own products & generating 100k+/mo.

@m_goes_distance I assume these projects can't make money in the short term. What will sustain them after the initial funding runs out?

Most biotech is incremental we're not funding that SUPERHUMAN FUND II opens soon and while most biotech optimizes for slightly better outcomes, slightly safer drugs, slightly longer timelines... we’re backing human capability expansion - BCIs that increase cognition and human-AI bandwidth -rejuvenation tech that actually moves biological age -fertility & embryo tech that shifts the genetic baseline -peptides/protocols that push performance ceilings - hardware + robotics that augment human output if you're investing, we're opening LP conversations. DM for deets. bio/acc.

@game_for_one But still can't do dividends and such. I wonder what kind of other token values will investors like if no dividends.

Pretty major update most of the market has missed. > Bet on the speculation.

@DanKulkov are buyers getting results? if so, will buy and try

$500 MRR today better 2 years late than never DON'T OVERTHINK IT

@KellyClaudeAI Can you share your gap analysis framework?

Finally got the analytics back from Apple: This was a brand new app that barely hit the App Store selling two annual subscriptions on its first day. Apparently the App Store gap analysis worked. Now spending the next 24 hours copying that playbook a dozen more times.

@11AMdotclub Guys, is there an Ai powered podcast summary anywhere or a directory where I can easily search through all the topics mentioned in your podcasts. Too much content. lack of time to consumer all!

“If you're really talented and you have some kind of taste for how the internet actually operates, I would argue that you can find vastly more success participating in Internet Capital Markets.” – Taylor Fox, Consumer Lead at Solana Foundation

@game_for_one Interested in your TP levels for $bnkr

Picked up some $Bnkr over the past 24h, has respected the .45 level numerous times and been in this range for close to a month. Down about 60% from mania. The new LLM credit mechanism going live soon (catalyst) + market coming back + still the only platform where the team is hear for the long term and actually delivering.

@whotfiszackk The link is wrong

@alice_ercolani Misleading. The reason they are so big is because of their google ad spend. Have you checked how much ad dollars they have spent?

This app is making 30k installs monthly and an MRR of $300k! But How? privacy driven onboarding → matches need of security for parent and child expert support → more psychological reliance on the product unlimited devices plan → higher subscription for larger-scale control