MJ

158 posts

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MJ

MJ

@cerotoone

Building @joinCero

New York, NY Katılım Ağustos 2019
3K Takip Edilen316 Takipçiler
Alex Gedevani
Alex Gedevani@alexgedevani·
Cavs had Lebron for 11 years and won only 1 ring. Sad state of affairs Knicks look like a team of destiny
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gleb
gleb@glebcc·
Neobanks are primarily an interchange business, they can’t operate through NIM like their traditional counterparts due to lack of scale So really your only choice is to ship so well that your users are willing to eat higher fees, then eventually parter with / build out a credit business Ramp is a testament to that, they can’t compete on fees but they attract clients by saving them money through the feature set
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Cero
Cero@joinCero·
Something dropping this week. Who you bring matters 👀
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Lauris
Lauris@lzminsky·
30 year old well-capitalized founder (and if I recall correctly there were some schenanigans around “MMing” with team wallets) Saying that smart kids from Waterloo who just got their first check from @ycombinator are doing this for disingenius reasons What the fuck What’s wrong with you? Why are you punching down on peoplw younger than you + saying that VCs shouldnt give them any money How tall are you?
CJ (晨杰)@cjhtech

early stage funds are betting on companies building prediction market infrastructure because they want a more asymmetric bet that gives them exposure to the vertical most of these founders are just trying to trade their way to a 4 year hiring engagement at large prediction market companies, and the returns from talent acq deals are counter to venture math in that VC funds need huge outlier returns in order to return capital to their LPs and outperform the S&P 500 the real asymmetric bet is @trylimitless, the fastest growing prediction market in the world. we're not coming for 30%, we're coming for everything, but even 10-30% market penetration at maturity is a much larger outcome for investors than any adjacent infrastructure company that sells to a big corporation for $50m

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max
max@mxmnci·
who is working on the best white labeled / headless onboarding experience in crypto? apple pay -> crypto, no BS in between
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edviiz
edviiz@edviiz·
Its 10x faster to start trading on @crshmarket vs Kalshi Blink
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MJ
MJ@cerotoone·
@jeazous @jeazous i’d like to talk to you. we’re inventing smth new in the payment/fintech/crypto space, would love advice on design & feel. lmk how i can reach you
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gleb
gleb@glebcc·
@hotpot_dao Being able to play casino games directly from my banking app seems like a splendid idea
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Shuyao Kong
Shuyao Kong@hotpot_dao·
Genz and gen alpha never wanted a neo bank. They already have Venmo, Cash App, Revolut, Zelle, Apple Pay. What they don't have is a financial system that reflects how they actually live: online, social, personalized, gamified, risk-on, and deeply skeptical that the traditional path to wealth still works. That's the opportunity.
Shuyao Kong tweet media
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Zachary Perret
Zachary Perret@zachperret·
Launched some new banks on @Plaid recently: Coinbase Card, Crypto.com Card, Erebor, Rho, Flex, River, Rho, Bushel, PenFed CU. More coming.
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MJ
MJ@cerotoone·
@doganeth_en @doganeth_en what if i told you it’s not? bnpl reg arb for the best part of the last decade+ was mostly tech play, as soon as the reg loophole had been discovered. lets chat, we’re building this
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Dogan
Dogan@doganeth_en·
I agree! and just to keep in your mind if you are thinking to build this: this is 90% regulatory & licensing work and 10% tech play. You need money, connections and the playbook. would love to see more startups in this area as well but I think if someone would ship this, it will be @deel if you are building this, hmu!
Joel John@joeljohn

whoever allows employees/vendors to have stablecoin salaries/payments alongside a line of credit that speaks to tradfi credit-scoring systems will end up building a billion dollar company i think the opportunity set here divides into b2b, retail (high income) and nomadic users

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Lotanna Ezeike 💳
Lotanna Ezeike 💳@lottsnomad·
retention is the only metric that tells you the truth everything else can be gamed
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MJ
MJ@cerotoone·
@metaproph3t i salute you, metadao is the future. admire the dedication & belief in the vision, day by day it’s becoming a reality. founders must learn i’d be more bullish on projects on metadao if founders were required to pass the “Prophet Test” assessing their devotion to the vision. somehow must solve for vetting the team - infinite number of ideas out there, only a few true builders.
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Jon Wu
Jon Wu@jonwu_·
if you're a community-driven business i.e. your GTM motion depends on people sharing outputs from your product you need to be PUMPING use-case testimonials from your power users 1. capture e-mails at signup 2. enrich with Clay 3. feed to Claude and categorize by credibility according to a scorecard you determine (most of the time this is just title + company, but it could be e.g. social media followers for some products) 4. AS THE FOUNDER, hand-message the user and request an interview. if your product data shows they are a power user / superfan, this should have an insanely high close rate 5. ask to record the interview, then simply ask about the biggest wins and insights they've had using the product 6. ask for a headshot and permission to publish quotes 7. do 1 of these a week, every week in a many-to-many business, the user is not learning from you, they are learning *from other users,* so the social proof isn't "logos," it's use-cases. and a lot more businesses than you'd think are community-driven. AI coding tools, imagegen, even many (most) enterprise pro tools tl;dr - who are the legit-ass people using your product - what amazing things are they doing with it go forth
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Cedric Roberge
Cedric Roberge@Cedric_Roberge·
A lot of people have been asking me how I marketed my peptide tracking app Pep AI to make over $125,000 in revenue in 80 days. Here's what I did. - Influencer marketing: signed over 100 content creators in my app's niche. They all post once or twice a week about the app on TikTok and Instagram. We pay them based on engagement. So if they average 1k-2k views per video we give them around $100 for 8 posts. - Affiliate deals: Content creators make 15% of subscription sales under there personal code. This way they care and put more effort into the posts. On top of that they'll post more than we asked them too because they want to make more money. We still get 85% so it works out pretty well. - Meta ads and TikTok spark ads: We run meta ads on the best performing videos from our creators. For TikTok spark ads we get the code from the creators and run ads on there posts that performed well. - Another tip is YOU have to spend money to make money. Don't be afraid to pay people at the beginning and try different marketing channels. Find out which ones work and go all in. You don't need to be profitable right away. - Outreach: You need to be sending over 100 messages a day to content creators. We hired people to do this for us. Our team sends out over 1,000 messages to content creators every single week. You need an army of content creators. - Free channels: Take advantage of free channels like reddit. Find groups similar to your niche and post in there. You can't promote or it's considered spam and they'll take it down. However, if you post it like this it'll work: "I have been taking a GLP for 2 months now and I have been looking for an app that can track it. Thinking about making one, would anyone be interested in this? If yes what would you all like to see on the app?" Then respond to comments with the app name saying you found one. You'll also get good feedback for your app from this. - Lastly: Build in public. Post about your startup journey on all platforms: X, TikTok, Instagram, Reddit. You'll get great feedback and people will download your app to see what you've built. I hope this all helps! This is what has worked for me and I truly believe it translates over to any app. If you have any questions feel free to comment, message me, or book a call from the link in my bio. Also feel free to download my app and see what it looks like from this link: apps.apple.com/us/app/pep-ai-…
Cedric Roberge tweet media
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SAMIEE
SAMIEE@oxsamiee·
Early-Stage Projects Spotlight 1) Loofta Pay | @looftapay Loofta Pay is building a dedicated payment and deal-management ecosystem tailored specifically for Web3 freelancers, creators, KOLs. Operating primarily as a Telegram Mini App to meet users directly where crypto business conversation naturally happens, the platform facilitates smooth peer-to-peer transactions. Its long-term vision focuses heavily on trust-building, with plans to layer in advanced smart contract-powered escrow features that safely hold client funds until agreed-upon freelance work or digital services are fully delivered. 2) Magno Finance | @MagnoFinance Magno Finance is an emerging decentralized finance protocol designed to optimize on-chain capital efficiency and asset growth. While maintaining a lean, under-the-radar profile during its early structural phases, the project focuses on infrastructure that stream-lines yield optimization and decentralized liquidity provisioning. By engineering modular smart contract frameworks, Magno Finance aims to provide users with secure, low-friction avenues to maximize returns on their digital assets across multiple blockchain networks. 3) Blink Trade | @blinktrade Blink Trade focuses on developing high-performance, open-source transactional infrastructure aimed at bridging traditional consumer financial networks with digital asset technology. By engineering New York Stock Exchange-caliber technology for the crypto space, they enable instant business-to-business payments and connect a global network of digital exchanges with licensed consumer remittance companies. Their core mission centers on financial inclusion, adding mobile payments and terminal touchpoints to easily bank the unbanked. 4) Caspius | @caspius_ai Caspius is building a specialized, cutting-edge data infrastructure layer focused on the intersection of artificial intelligence and physical robotics. Built within the Base ecosystem, the project acts as a fundamental pipeline for embodied AI, creating and structuring the massive training datasets required for advanced autonomous robots to interact accurately with the physical world. By pinning down this critical data layer, Caspius aims to accelerate how developers train machine intelligence for complex hardware tasks. 5) Fiber | @fiber_evm Fiber is building a privacy-centric, non-custodial wallet infrastructure that smoothly unifies smart accounts, multi-chain assets, and on-chain applications into a highly polished, mobile-first experience. By leveraging advanced cryptography to preserve user transaction privacy by default, the platform abstracts away the intimidating, complex layers of standard crypto wallets. It acts as a real-time, sleek gateway for users who want complete control over their digital assets without sacrificing their on-chain privacy or navigating clunky interfaces. Found this valuable? Follow me & turn on post notifications so you don't miss out on the next project spotlight post. See ya on my next.....adios👋
SAMIEE tweet media
SAMIEE@oxsamiee

Early-Stage Projects Spotlight 1) Oroswap | @Oroswap Oroswap is building an AI-powered decentralized exchange DEX natively deployed within the Zigchain ecosystem. The project aims to integrate artificial intelligence directly into the DeFi experience, optimizing automated market making, liquidity provisioning, and user onboarding. By leveraging AI, the protocol attempts to make onchain trading and market discovery more intuitive and efficient for both everyday retail traders and native DeFi builders. 2) HatcherLabs | @HatcherLabs HatcherLabs is building operational infrastructure and management tools for the emerging agentic economy, with a heavy focus on mobile accessibility and modular frameworks. The team has launched solutions like the Hatcher Android app, which allows developers to deploy, monitor, and chat with AI agents built on frameworks like OpenClaw and Hermes directly from mobile devices. Working closely with networks like SKALE, they provide gas-free, high-throughput environments designed specifically for running live crypto trading bots, automated Discord/Twitter agents, and on-the-go coding assistants. 3) Mavora | @mavoraio Mavora is building an AI-powered behavioral simulation engine designed to model the human psychological engine behind real financial markets rather than just forecasting price charts. Moving past simple LLM text outputs and basic Multi-Agent "swarm" simulations which they argue inevitably drift into a generic, unified consensus, Mavora uses an engineered financial cognition layer populated by highly distinct, financially literate agent personas (such as VC analysts, whales, and retail actors). These agents are hardcoded with specific risk profiles, behavioral thresholds, and curated real-world information diets, allowing users to run complex market scenarios where agents independently react, disagree, and challenge one another with citation-grounded reasoning, starting first in the highly narrative-driven crypto market. 4) GM Wallet | @GMWallet GM Wallet is a Web3 native, multi-chain user interface wallet engineered specifically around daily social interactions, trading, and dApp engagement. Rather than focusing solely on deep institutional custody, the wallet emphasizes seamless asset swaps, fast cross-border value transfers, and direct integration with community rewards (such as integrated airdrop portals and incentive tasks). Its core architecture balances ease of use with instant mainnet connectivity, aiming to capture the everyday retail user demographic through a highly streamlined UX. 5) Cacheon | @cacheon_ai Cacheon is a decentralized AI network building specialized inference optimization infrastructure, operating as Subnet 14 (SN14) on the Bittensor network. The architecture utilizes decentralized miners and validators to maximize processing speed, cut latency, and maintain strict quality control for large-scale AI inference workloads. By creating an open-market competition for compute efficiency, the protocol incentivizes miners to continually optimize how data is processed, cached, and served back to machine learning applications. Found this valuable? Follow me & turn on post notifications so you don't miss out on the next project spotlight post. See ya on my next.....adios👋

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MJ
MJ@cerotoone·
@Evanrrama i can bot 100k tomorrow. actually, i could rig it same as i rigged poly on video view markets, haha. catch me tmrw at the madison square park and ask me my follower count
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Evan Rama
Evan Rama@Evanrrama·
Just because you have 100K followers on Instagram doesn’t mean you’re qualified to be a CMO at a startup. Product marketing and personal brand marketing are two completely different ballgames.
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