Stanford Blockchain Accelerator (SBA)
@StanfordSBA
SBA is THE builder community for Stanford Blockchain @stanfordcrypto and CBAS *WILL NEVER LAUNCH A TOKEN OR ASK FOR MONEY* *DOES NOT INVEST IN PROJECTS*
315 Following 4.2K Followers
We just completely reworked our compaction algorithm to fit models with limited context window.
it is much more reliable and intelligent. Perfect for
- Local models
- Frontier models with super long running uninterrupted tasks (we tested a case with 90 compactions and 500+ steps)
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Our company one-liner was: "Team procedural memory for AI agents"
And we figured the concept of procedural memory hasn't been mentioned a lot.
Here is what we think you should know
Lesson to founders: invest in habits to build your product exponentially faster.
We spent 1.5 years perfecting production-grade data for Base and Solana. Just 2 weeks after launch, thanks to our architecture and agentic workflows, we went live with ETH mainnet support. We'll be adding more chains, protocols, and analytical endpoints in the coming weeks.
I'm proud of our 10-person team. They've built an extensible, high-performance system while also managing infra costs.
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Big brain @Stanford alumni onstage at BASS
In @jaeyong's presentation at @StanfordSBA, he illustrates how Cap is fixing the problems facing private credit 👇
- Verified collateral prevents double-pledging
- Underwriter skin in the game ensures accountability
- Instant liquidations maintain full collateralization
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Grateful to have Professor Kun Peng (@elkun_peng), Founding Partner of @theBBFund and Founder of @StanfordSBA, join us as a featured guest at our 7th #CEOForum#. 🎓
In the early stages of crypto, founders should focus on building real business fundamentals — not issuing tokens too early.
A token shifts your attention fast: holders, valuation, liquidity. The moment you launch one, you're managing a market instead of building a product.
As Kun Peng put it: what matters most is that people are willing to pay for what you build. The businesses that thrive are the ones that don't need a token to raise — they have real revenue and real users.
Focus on the product first. The rest follows.
#ABFinance# #CEOForum# #Web3#
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Amazing work from @AlexLWitt. This has been a major area of focus for @stanfordsba for the past 2 years and even we are surprised by the pace of growth! Some teams to follow @immersve @LevlFi @AEON_Community @HallidayHQ @getaxal @CapApp @efexpay @hinkal_protocol @inshAllahfi @getmoni_io @UnitasLabs @0xtristero
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One of the hardest questions in stablecoins shouldn't be:
"Who else is building and where?"
Today we launched a completely rebuilt Stablescape to help answer that.
- 6,000+ stablecoin companies
- Interactive market maps
- Rich company profiles
- And more
You can now submit your company, claim an existing one, and play around with interactive charts.
See it for yourself here:
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One of the hardest questions in stablecoins shouldn't be:
"Who else is building and where?"
Today we launched a completely rebuilt Stablescape to help answer that.
- 6,000+ stablecoin companies
- Interactive market maps
- Rich company profiles
- And more
You can now submit your company, claim an existing one, and play around with interactive charts.
See it for yourself here:
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Blown away by support for our launch; here's what people are doing with the Cambrian API
* Finding high/safe yield sources
* Identifying top owners of tokens
* Querying influencer credibility
* Analyzing tokens using Deep42
* Searching for tweets with alpha
What kind of data should we cover next?
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the why is bigger than the how. open up the model layer so many people train and own models together. real open source at the model layer, which he argues is completely missing today
@AlexanderLong: the frontier-model narrative says you need giant data centers, high-bandwidth GPU links and so much energy that companies are literally buying nuclear plants. @Pluralis's bet: do the same training across a swarm of consumer hardware
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the framing is mathematical: at every step, maximize the probability the code is correct given it was accepted. a factory that improves the machine that improves the code. (nexus chain is live, EVM-compatible, ~2 months old)
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@danielmarinq showed a "company brain," a 3D visualization of the entire @NexusLabs monorepo, marketing, strategy, engineering, all in one graph. the goal: automate 100% of the software development lifecycle
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@h_joshua_rivera of @blockchain_cap (8 years in, ~200 investments, ~$5B AUM) expanded the frame from agentic trading to agentic commerce, the whole agent economy learning to move money
@nathan_sj_stem of @Vishwa_lab is building a recursive, self-iterating multi-agent system that turns every financial product into something an agent can search, so institutions own a distribution channel that improves itself
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tony lu of @PsyProtocol: the agent economy can't run on rails where every transaction is public. privacy isn't a nice-to-have for autonomous agents, it's the precondition. that's what they're building
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how do agents actually do the money thing? tony lu of @PsyProtocol and @nathan_sj_stem of @Vishwa_lab, moderated by @h_joshua_rivera of @blockchain_cap 👇
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@cuysheffield, head of crypto at @Visa, in conversation with @nlevine19 of @a16zcrypto. theme: disrupting yourself 👇
who actually powers the banks going onchain? @nikil of @alchemy and @bhau___ of @paxoslabs, moderated by @ahnchrisj of @HaunVentures 👇
@Bfaviero joined @KrakenInsto in building a crypto prime broker: qualified custody, OTC, API trading, lending. he got there by selling in Magna, the token cap-table company he founded. builder to institutional backbone
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