Been loading up on $Sherpa first lp terminal on @RobinhoodCrypto and on top of everything they are building there listening to the community aswell
0x400ef5648167834e077983a903b184314f3c340b
Base Head retweeted
Community asked.
"Track top LP'ers and copy trade them would be an insane feature."
So... we built it.
Track the best LPs, study their positions, and copy their strategy directly from Sherpa.
Shipping today.
Base Head retweeted
You guys thinking what I'm thinking? About to get 100 new stocks on rippacks.fun !
BREAKING:
@RobinhoodApp just added 100 new Stock Tokens to Robinhood Chain, including @pfizer, @figma, @galaxyhq, and more.
Here's a full list:
🟢 Mega Caps ($100B+)
ADBE — Adobe
APP — AppLovin
ANET — Arista Networks
CSCO — Cisco
NET — Cloudflare
FI — Fiserv
FTNT — Fortinet
GE — General Electric
GEV — GE Vernova
IBM — IBM
JNJ — Johnson & Johnson
KLAC — KLA
LRCX — Lam Research
LMT — Lockheed Martin
PANW — Palo Alto Networks
CRM — Salesforce
SNOW — Snowflake
UNH — UnitedHealth
🔵 Large Caps ($50–100B)
AXON — Axon
CVNA — Carvana
CEG — Constellation Energy
CTSH — Cognizant
DOCN — DigitalOcean
FICO — Fair Isaac
GLXY — Galaxy Digital
HPE — Hewlett Packard Enterprise
HWM — Howmet Aerospace
KTOS — Kratos Defense & Security Solutions
MRNA — Moderna
MPWR — Monolithic Power Systems
ON — ON Semiconductor
PFE — Pfizer
TTD — The Trade Desk
VRT — Vertiv
🟠 Mid Caps ($10–50B)
AEHR — Aehr Test Systems
AVAV — AeroVironment
AMBA — Ambarella
ALAB — Astera Labs
CLS — Celestica
CIEN — Ciena
FIX — Comfort Systems USA
CRDO — Credo Technology Group
FLY — Firefly Aerospace
FIG — Figma
HIMS — Hims & Hers Health
JBL — Jabil
JOBY — Joby Aviation
MTSI — MACOM Technology Solutions
OKLO — Oklo
PL — Planet Labs
PWR — Quanta Services
RCAT — Red Cat Holdings
SIMO — Silicon Motion
TEM — Tempus AI
TER — Teradyne
PATH — UiPath
VICR — Vicor
VST — Vistra
WDC — Western Digital
🟡 Small / Emerging (<$10B)
ABCL — AbCellera Biologics
AEIS — Advanced Energy Industries
AMKR — Amkor Technology
AUR — Aurora Innovation
AXTI — AXT
BB — BlackBerry
BULL — Webull
CLOV — Clover Health
DJT — Trump Media & Technology Group
HII — Huntington Ingalls
IBRX — ImmunityBio
INFQ — Infleqtion
LHX — L3Harris Technologies
MOD — Modine Manufacturing
NAVN — Navan
ONTO — Onto Innovation
OUST — Ouster
POWL — Powell Industries
QNT — Quantum Inc.
SLS — SELLAS Life Sciences
SMR — NuScale Power
SNAP — Snap
SOUN — SoundHound AI
TE — T1 Energy
VSAT — ViaSat
WULF — TeraWulf
WYFI — WhiteFiber
📈 ETFs
VTI — Vanguard Total Stock Market ETF
SCHD — Schwab U.S. Dividend Equity ETF
JEPQ — JPMorgan Equity Premium Income ETF
SMH — VanEck Semiconductor ETF
INDA — iShares MSCI India ETF
EWT — iShares MSCI Taiwan ETF
🏛️ U.S. Treasuries
SHY — iShares 1–3 Year Treasury Bond ETF
🥇 Commodities
GLD — SPDR Gold Trust
------
This brings the total amount of Stock Tokens deployed by @RobinhoodApp on Robinhood Chain to 202, up from 101.
Base Head retweeted
Replying to @Natan_benish @longdotxyz
How about memecoins paired with leveraged stock tokens
NVDA2L
Base Head retweeted
.@RobinvistaApp is cooking behind the scenes
Deployer just added 10k liquidity into this NVDA2L
$VISTA ATH might be today if they have cracked these leverage tokens on @RobinhoodCrypto
robinvista.app/tokens/0x662b…
Base Head retweeted
$VISTA was the first platform to introduce tokens paired with STOCKS
Today @bankrbot integrated it and entire timeline is about stock tokens $GME $NVDA
$VISTA is super undervalued. It will be the only dex to trade leveraged stock tokens
Stocks season onchain.
Every launchpad is now integrating stock pairs✍️
We initiated the path; others are following it now. This proves the product-market fit of building an RWA DEX on @RobinhoodApp.
Leverage tokens are coming only on Robinvista.
Base Head retweeted
Some browsers might show a security warning when visiting the website.
We have submitted a formal review to Google - these typically get cleared quickly.
The site is safe to visit.
Base Head retweeted
Fun fact about🦝:
Raccoons are nocturnal, which means they're most active while everyone else is asleep. They're out there exploring, searching for food, and taking advantage of quiet hours when there's less competition.
Kinda reminds me of crypto.
Some of the best opportunities don't show up when everyone's screaming about them on the timeline. They usually appear when nobody's paying attention, when volume is low, when ct is asleep, and when everyone thinks nothing is happening.
By the time the crowd wakes up, the raccoons have already found the gems.🦝
@BanditOnHood
Base Head retweeted
in our private group we are checking $bandit, hearing dev's previous project on Base did very well 🧐
This Post is from an account that no longer exists. Learn more
Base Head retweeted
Replying to @Yaki_fomoArt
Yeah, you're right it's not an easy one to crack, there are multiple layers to ensure people (including @Meanwhile_cash itself) are not gaming it.
I'm still polishing the solution, so some things will change in the whitepaper, but here's how it might look:
Let's start with the assumption that campaigns are distributed correctly, that we have a solid risk engine, and that each impression is printed correctly. In the future, that risk engine will be made open source, and its signature will be known. Each impression will be signed by our worker via this engine, removing that assumption, but we could even push it further and run with AVS (e.g., @LayerOnEth) for total verifiability.
The next question, how do we store each campaign and make sure that anyone (including agents) can have an audit trail that?
Every certain amount of time (epoch) or per campaign (still need to think about it) we will post a digest of the leaves and update the root of a Merkle tree that lives on @solana. We will also add the revenue gross revenue in the same call to help us buyback $CASHBACK automatically (2 bird with 1 stone).
Having the digest only is not enough, Each leaf is one accepted impression (campaign, user, install, amount, time AND risk engine signature) and the whole tree needs to be stored somewhere to be reconstructed. Currently exploring @FlareNetworks or @ArweaveEco (in terms of immutability guarantees but cost will play a big part in the decision, still need to look into it). Also worth nothing that this cost is predictable as each campaign has a known amount of impressions (which give more room to integrate $CASHBACK)!
The "proofs" and everything needed to reconstruct the Merkle tree should be made easy for non technical users on a transparency page.
The end goal is to have the whole loop verifiable by human agent alike!
Ps: a questions you might have is: "But we have to trust you to input the right amount as some payments will be made in fiat via @stripe. I believe that all payments will be made on chain but in the Meanwhile we could a) Run the payment in a AVS b) Tust the 70/30 rate, which is a far smaller, auditable assumption (because payouts are a 100% on chain we can re construct the initial amount paid by the advertisers)
Here's a paper I wrote back in the days where I had to solve a similar issue (in terms of the layering): reconciling a private ledger with a public chain to
benefit from it's immutability, transparency, and verifiability while maintaining investors privacy using a Merkle tree
app.pdf.net/edit/Q6LF62hlafE…
Working on multiple things at the same time and will explain / polish everything in an upcoming whitepaper so hopefully this make sense!
Base Head retweeted
we rebuilt the @playhunchxyz docs from the ground up:
· every market type + resolution logic
· the payout math, with diagrams
· full-text search across all of it
· copy any page as markdown → paste straight into ChatGPT or Claude
human-readable and agent-readable.
Base Head retweeted
PMFI is now live on the @bankrbot projects page.
If you are building on Bankr and haven't added your project to the projects page, please do so!
bankr.bot/agents
Base Head retweeted
PMFI is building a DeFi capital layer for prediction markets.
One piece of that vision is oplend.pmfi.cc.
OpLend V1 is a lending primitive that works without price oracles and without liquidations inspired by recent @VitalikButerin research that highlighted two major weaknesses of lending markets: oracle risk and liquidation cascades.
For PMFI, OpLend is more than a standalone lending market.
OpLend can extend pArbitrage in two directions: users can borrow USDC against pArbitrage vault shares, redeposit it, and repeat the cycle to create leverage (looping) , or borrow against another supported asset and deploy the USDC into pArbitrage while keeping their original exposure.
Traditional lending protocols are often extremely selective about what can be used as collateral. While security make it impossible to support everything, OpLend significantly expands the available choices by supporting many @bankrbot ecosystem tokens.
A practical example is founder funding. In the recent case of @mac_eth, funding required selling part of the token supply. OpLend allows users to borrow USDC for up to one year while maintaining exposure to their collateral.
Many founders do not want to sell their own tokens to finance development. Recent innovations such as Gliderpath by bankr provide new models for founders to access liquidity without nuking the chart, but they still assume founders are giving out their exposure to market. OpLend offers another option: access liquidity without selling the asset.
The model is also highly flexible.
Today, collateral is ERC-20 based, but the same framework could eventually support prediction market positions, Pokemon cards and other non-traditional forms of collateral.
The long-term vision goes beyond simple p2p lending.
Future versions may introduce lender offers and counter-offers, prediction-market-style order books with asks and bids, and liquidity pools that automatically match borrowers and lenders.
The goal is not to build another isolated lending market.
The goal is to build a scalable capital layer that can support a much wider range of assets and financial strategies across the PMFI ecosystem.





























