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Trade the companies defining a generation, from seed to pre-IPO.
Waitlist now live, refer friends, skip the line.
So, what do you wanna trade first?
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Soar (Trade Startups)
1.1K posts
Soar (Trade Startups)
@TrySoar
Private market futures exchange
San Francisco, CA Katılım Temmuz 2025
24 Takip Edilen11.2K Takipçiler
Soar (Trade Startups) retweetledi
kalshi just started using binary market forward curves to derive implied future pricing on gpus.
we've been doing this for private companies since may, but have been obsessed over this idea since last december.
we published the research on @TrySoar, describing how you can use forward curves to produce implied future valuations for private companies.
weeks later i wrote how to make those curves far more capital efficient with better execution and price expression.
soar has been running this model internally for our private beta testers. we created robinhood for private companies, and the forward curve infrastructure is a piece of how we got there.
Tarek Mansour@mansourtarek_
Today, we launched GPU compute forward curves derived from our prediction market prices. Forward curves are now available on Nvidia B200. H200, and A100 chips. Forward curves track implied future prices. They are how mature commodity markets form expectations, allocate capital, and manage risk. Energy, interest rates/SOFR, FX, metals, and agricultural markets all rely on market-implied forward prices. Despite becoming one of the key inputs in the global economy, compute has lacked that market-derived infrastructure. Compute right now is where oil was before NYMEX — traded only via OTC deals, just like oil used to trade OTC between producers and refiners. As compute becomes as fundamental to the economy as energy, the industry will need a similar derivative market to promote efficient price discovery. Prediction markets are uniquely suited to this problem. Compute is not one uniform commodity and spans many chips, grades, tenors, locations, and contract structures. A live prediction market can aggregate those dispersed views into transparent prices that reflect market expectations for different maturities. The opportunity is big. Hyperscalers are spending over $700B on compute this year and the market is expected to grow to $7-10T by 2030. If this market behaves like traditional commodity markets, a liquid derivative market could be 10-20x bigger than the underlying spot market. Compute is still not uniform enough, but this is a step towards standardization as forward curves will help us see the rise and fall of different model prices and how they correlate. The forward curve is a first step. Up next: futures and perps.
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The Round Up - 07/14/2026 🪂
Every week, we track the 5 hottest startup funding rounds so you don't have to.
Which of these would you trade on SOAR? 🧵
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Every week, generational companies raise funding to push humanity forward.
And soon, you'll be able to trade them all on SOAR!
Get in on the action 👇
trysoar.com
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5/ @HelsingAI
Helsing raised a $1.8B Series E, valuing the company at $18B.
Dubbed the @anduriltech of Europe, Helsing raised from many institutional players, including @lightspeedvp, Growth Equity at Goldman Sachs Alternatives, JPMorgan Chase, Canada Pension Plan Investment Board (CPP Investments), @generalcatalyst, and others.
x.com/HelsingAI/stat…
Helsing@HelsingAI
Helsing raises US$1.8bn in Series E helsing.ai/de/newsroom/he…
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4/ @TeamOratomic
Oratomic raised a $300M Series A to build a fault-tolerant quantum computer.
The round was led by @khoslaventures, ARCH Venture Partners and @sparkcapital with participation from others.
x.com/TeamOratomic/s…
Oratomic, Inc.@TeamOratomic
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3/ @gauntlet_xyz
Gauntlet, founded by @tarunchitra raised a $125M Series C.
The round was led by SBI Holdings and will be used to scale coverage of current offerings, and expand their product suite.
x.com/gauntlet_xyz/s…
Gauntlet@gauntlet_xyz
We've closed a $125M Series C led by SBI Holdings. The capital will support building our infrastructure across traditional capital markets, expanding stablecoin coverage, and accelerating new onchain offerings. As institutions move onchain, we're providing the quantitative guardrails to scale their capital deployment. Learn more: gauntlet.xyz/resources/gaun…
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2/ @PrimeIntellect
Prime Intellect raised a $130M Series A, valuing it at $1B.
The round was led by Radical Ventures, with participation from NVIDIA, Intel Capital, Dell Capital, and existing investors.
The capital will be used to scale their product - The Open Superintelligence Stack, where you can train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack.
x.com/PrimeIntellect…
Prime Intellect@PrimeIntellect
Announcing our $130M Series A to build the Open Superintelligence Stack Led by Radical Ventures, with NVIDIA, Intel Capital, Dell Capital, and existing investors Train, deploy, and continuously improve your own models using our stack. Own your intelligence.
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1/ @normativeai
Norm Ai raised a $120M Series C, led by @khoslaventures and joined by @craft_ventures, @BainCapital, @coatuemgmt and others.
They've now raised more than $260 million to build agentic law systems.
x.com/johnjnay/statu…
John Nay@johnjnay
We just raised a $120 million Series C at a $1.2 billion valuation, led by @khoslaventures, to pursue the full-stack approach to legal AI. Blackstone, Bain Capital, Craft Ventures, Coatue, Vanguard, New York Life, TIAA, Tony James, and Jeff Hammes (former Chairman of Kirkland & Ellis) also participated. Norm Ai (@normativeai ) has now raised more than $260 million since I founded the company less than three years ago to build agentic law. We’ve built a team of more than 200, primarily engineers and attorneys, to embed law into AI agents. Norm Law, an affiliated AI-native law firm running on the Norm Ai platform, uses those AI agents to serve clients like Blackstone as outside counsel, with attorneys supervising and improving the agents. Because Norm Law runs natively on Norm Ai’s agentic law technology and prices based on outcomes rather than hours, benefits of AI can now flow directly to the client. This creates a client-aligned incentive structure, unlike model providers, whose revenue is driven by token usage, and traditional law firms, whose revenue is driven by billing hours of human labor. The key distinction is the integration of the pricing model, the technology, and the people. Norm Law is chaired by Mike Schmidtberger, the former Chair of the Executive Committee of Sidley Austin. Other Partners include the former Global Head of Real Estate at Sidley Austin, a senior M&A Partner from Ropes & Gray, the General Counsel from Bain Capital Ventures, and key attorneys from Kirkland & Ellis, Simpson Thacher, Paul Weiss, Davis Polk, Skadden, Cleary Gottlieb, Latham & Watkins, Paul Hastings, Proskauer, and Pillsbury. Clients representing more than $30 trillion in assets under management use Norm Ai software, deploying legal AI agents directly for their in-house legal teams. Norm Ai’s technology is increasingly deployed to supervise other AI agents operating in regulated environments. When companies deploy their own AI agents in high-stakes roles like communicating directly with clients about investment products, Norm Ai's agents check that those agents are in compliance. The Series C will accelerate expanding practice area coverage and advance our supervisory agents.
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It's time to give your conviction value
tag someone you'd invest in on Soar 👀👇
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Today in investor updates: Startup apologizes for growing a mere 36% in June, because they were focused mostly on fundraising.
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There has been a shift in AI research, where the focus has moved from theoretical science to engineering-heavy scaling, causing a profound professional identity crisis among researchers.
Top talent is increasingly disillusioned by the demand for brute-force data engineering over intellectual innovation, driven by intense commercial pressure to deliver products at a high velocity.
You can read more here: theinformation.com/newsletters/th…
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BREAKING: AI researchers are having an identity crisis.
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