Been using this to find runners on new @LaunchOnSF pairs. Stonk Radar shows new pairs the moment they become listed, as well as makes it easy to see the leaders for every stonkfun pair. Telegram bot alerts when a new pair type is listed and when a token enters the top rankings for a pair.
stonkradar.fun
I'm also starting a 1k -> 100k challenge on @Pumpfun
You can follow here.
pump.fun/profile/Hq1jtssXGkJ…
code soko_eth
pump.fun/join/soko_eth
Congrats @twynexyz team!
Credit in lending markets is stuck with whoever deposited collateral. Half of the market has idle credit, the other half is in need of credit.
Proud to announce our seed round, co-led by @cyberfund and @etherealvc, to build the Credit Delegation Layer that connects them!
Amazing what can be done with knowledge graphs starting from just a 95 person event list!
"The future is already here, it's just not evenly distributed." Nice one Arto.
What does personal intelligence mean? If tech like Palantir’s were to be democratized and available to you, what might your own personal seeing stone in your pocket enable you to know, to do?
Here’s a bit of a sneak peek through ASIMOV’s seeing stone regarding our San Francisco event later today. In the minute or so that this ingest took, we first extracted the Luma event’s guest list and then for each of the 95 guests figured out their social media accounts on X, Instagram, LinkedIn, and beyond
We obtained those profiles in full, as well as the respective social graphs (followers/followees/mutuals) for each of those accounts, and collated all that into a nontrivial (95 → ~300K → 50M+ nodes) knowledge graph representing the combined social network, reconciled with and layered onto our existing massive knowledge base. This tells us who is in the room and how they relate to us and to each other
We then fetched and indexed the most recent posts for each guest’s social media accounts, and computed & compiled executive summaries of their recent activities and demonstrated interests on each those platforms, not only from text posts but also from any available photos and (short) videos. These dossiers are incredibly helpful in pinpointing who might share mutual interests
We also, naturally enough, indexed all faces detected in guests’ profile photos and their most recent social media posts, as well as filed away a voice sample from any available Instagram or YouTube clip. This enables recognizing guests by their likeness and/or their voice, as we have showcased at previous events
All this, by the way, can run directly on your phone, tablet, or laptop as well; just rather slower than the dedicated, scalable upstream infrastructure showcased here. Nonetheless, in the future you will be able to produce and monetize this event intelligence in your pocket yourself, or just purchase on-the-go access to it as you like
The future is already here, it's just not evenly distributed.
Join us at Frontier Tower tonight at 6pm to learn & discuss personal intelligence built on your own personal context graph connecting all people and information in your life!
soko retweeted
my first hackathon was an online @ETHGlobal in 2024 (with legends @microchipgnu and @soko_eth)
since then I have been following ETHGlobal around the globe: from Bangkok to New Delhi, Buenos Aires and New York
now, it lands in Lisbon and I’m super excited to be a speaker
expect to learn insights about the current state of agentic transactions and what we have been building at @framesag
and yes: the slides will be nicely designed
see you there
🌟 NEW Pragma Lisbon speaker announced:
@marcelokunze, Co-founder of @framesag
July 25 • Pavilhão Carlos Lopes 🇵🇹
ethglob.al/HKRXP56HKA
Built all in one weekend with help from a generous room of builders, mentors and organizers.
Thank you to everyone who made Arbitrum Open House London happen, including:
@0xjesstech @aditichoprax @hummusonrails @ArbitrumDevs @zkLumi @encodeclub @RobinhoodCrypto 💚
soko retweeted
Check out what @soko_eth is cooking up!
Introducing AgentSec — security auditing for AI agent skills with built-in web3 support.
OWASP AST10 covers generic skill risks. Our AST-10 Web3 Annex extends it with 12 onchain-specific rules: signing authority, Permit2 capture, blind signing, RPC pinning, kill-switch, MCP drift, oracle/slippage, key material.
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