Victor

@0xMerp DM’d! Would love help shaping hedging HL perps using prediction markets @offsetxyz

if anybody is building a protocol and wants to work with me in some advisory capacity, i need something to do and i want to help build the future of gud tokens i have no academic accolades (majored in hospitality though, can probably throw a gud party) i understand narratives and momentum and think my greatest strength is likely opinions on brand presentation. i have been here 6 years, 18 hours a day, and have seen what works and what doesn't, and how successful protocols communicate the value of their brand, and the importance of healthy comms probably a mid trader, only top 1% of HL points, not even top .1%

Excited to share that I've been building @offsetxyz Most @HyperliquidX traders get wrecked by risks they never saw coming. There are two main ways you'd use it. 1. You already have a Hyperliquid perp open and you want to cover it 2. You're thinking about opening one and you want to assess the risk first. Either way, you want to know the same thing: what could move it. Offset intelligently shows you the most relevant prediction markets for your BTC, ETH, TSLA, or any other perp, long or short. Right now live with @Polymarket. HIP-4 and Kalshi coming soon. Try it out now: useoffset.xyz Join the Discord for early access, feedback, and feature requests → discord.gg/VHETa6ehqY

Hmmmm interesting. What if... "Despite everybody thinking the market is super crowded, we still don't have enough good quality data vendors that actually understand how to deliver product plus services in a way researchers are looking for."

Two things that will be true in 5 years: 1. Every company adopts specialized AI or dies. 2. Winners own unique data. Imagine Duolingo for your voice & life on @base 👀 Watch your data earn onchain every time AI labs use it. Daily quests: Record your voice, film routines, share your style.

Retired my Amex Gold for the @coinbase one card

The TAM of AI data/RL is still tens of billions (and growing fast). Labs are burning > $1B this year on RL data alone. Few.

@sxtvik @alliance @QwQiao DM’d!

how @alliance changed my life trajectory: > 2024 was living in india, building from my room > feeling pretty hopeless about fundraising > flew to singapore in september > met @QwQiao irl for my final round interview > 1 week later qiao texts saying we were in > flew to nyc end of 2024 for my cohort > fell in love with nyc again > raised our preseed > made great friends during our irl cohort >graduated alliance > got my O1 > moved to nyc full time > fell in actual love, got an apartment together > raised another round of funding just try

@mykcryptodev @base @bankrbot So cool

my birdfeeder is live streaming at birdbets.mykclawd.xyz it records each bird visit & makes a prediction market for the number of visits each day! use your favorite AI harness (supports @base mcp plugin and @bankrbot skills). links are in the quoted post!

Got some questions about the $AGENTBASE token that was launched Someone from the @bankrbot community launched a token for my side project useagentbase.com with me as the fee recipient. Pretty cool and insane to see how powerful the Bankr community is. I already have > $1.3k in fees within a day which is crazy to think about. But, this is NOT an official token being endorsed by me, since this isn't a project i'm fully committed to building out. Will use the fees to continue building in the trenches. Stay tuned🫡 The @base trenches are alive. @bankrbot szn.

100k: the cycle isn't real 60k: the four year cycle is the realest thing i've ever heard Reflexivity is real

@shreybirmiwal W

Goodbye Austin Sf I am in you

The best way to build is to constantly launch, constantly iterate, and constantly re launch with new customer learnings

Seems like @bankrbot szn

may we have many more people who start in the trenches and grow into building products that change the world

I’m not a doomer an AI at all. I think the nature of work, particularly entry level jobs will change. Ai will make business more complicated and competitive. Not less. Which means more layers where humans have to make decisions before the next process can happen And there will be millions, if not more, local models. We will we modify and train them for our lives and the businesses we create. Just leveraging the foundational models for things we don’t have access to. Maybe the new gig economy will be the models that represent our lives and the knowledge and experiences each one of us train those models on, and we get hired by companies for access to those models ? Thoughts ?

@hthieblot Sent a dm! Building a platform to source specialized data to train specific agent LLM use cases

I'm investing up to 250k first checks in teams building: - robotics, drones, space - Models, vertical AI - manufacturing, logistics - Stablecoins DMs are always open. Tell me what you're building!

Today, we’re launching pgGraph: an Apache open-source graph traversal engine for Postgres, written in Rust 🦀 When we started Evokoa, we kept running into the same wall every serious agent team eventually hits: > Agents need to reason across relationships. > But graph DBs are expensive AF, and suck to use. So, we built pgGraph around a simple, single idea: Postgres should stay the source of truth, and the graph engine should live beside it. pgGraph does something different. > It keeps the rows in Postgres, > Compiles the topology around them, > Creates a virtual graph layer using CSR-style adjacency arrays. We're making your existing postgres database graph-traversable for agents without any of the usual BS. > No recursive join hell. > No ETL pipeline. > No second source of truth. > Blazing fast performance pgGraph is already live in production workflows across RevOps, healthcare, and visa services. We’re open-sourcing it because graph traversal should become a default primitive in the agent stack, not an enterprise migration project. Treat Postgres as a graph. Zero data migration. This is what Apache AGE should have been. Docs + Repo below.

What if we made a @useKled competitor on @base 🤔