Möbius ∞

[Soon @soontechnology]

We went searching for a shipwreck with @UlyssesInc's $50,000 underwater drone in the San Francisco Bay.

See how it went in our latest video.

00:00 This is Ulysses
01:18 How autonomous underwater drones work
03:03 Searching for the shipwreck
04:17 Inside Ulysses’ HQ
06:38 Meet the Mako
08:40 Navigating the water
09:45 Mission success

[Citrini @citrini]

We only write 1-2 primers a year because we want them to be durable. It’s simple to publish something market relevant for 6 months, but our goal is a piece you can return to years later and still derive value.

Our Robotics primer meets that standard.

https://t.co/qPSAXaLgYN

[Möbius ∞ @800TUSD]

@LegacySiu James Rodriguez

[ADIN @ADINonline]

20 early-stage rooms hiring right now

@StructuredLabs — founding eng (knowledge infra, YC)
@HappyRobotAI — FDE, ML eng, designer, AE (logistics AI)
@reductoai — product eng (doc parsing for AI)
@FastinoAI — AI eng, remote ($25M seed)
@nansen_ai — sr product designer + ML eng (web3)
@adasupport — sr product designer (AI support)
@pulley_hq — staff product designer

also hiring (search the name):
• Town — founding eng (AI assistant, $55M Series A)
• Sprig — enterprise AE (agentic research)
• Allium — founding product designer (blockchain data)
• Wildcard — founding eng (AI commerce, YC)
• ANORIA — founding software eng (emotion wearable, YC)
• Cerenovus — founding eng, summer SF (YC S26)
• Kindred — founding growth lead (home swap)
• Lassie — founding growth (AI doctor's office)
• Adaptive Security — chief of staff (cyber, a16z)
• Pryzm — forward deployed eng (federal AI)
• Bayesian Health — software eng (clinical AI)
• Bold Business — lead AI eng (RAG/agents)
• Narrative — founding eng, backend + AI

most <100 ppl. founder access day one.

[fundable @fundable_ai]

Top 10 Largest Raises of The Week

@deepseek_ai 🇨🇳 - Open-source AGI lab ($7.4B Equity)
@CtrlSdc 🇮🇳 - India's AI data centers ($423M Equity)
@cusp_ai 🇬🇧 - AI materials discovery ($400M Equity)
@odysseyml 🇺🇸 - AI world model lab ($310M Series B)
@SiliconFlowAI 🇸🇬 - AI model infrastructure ($294M Series B)
Evoken 🇨🇳 - AI creative content platform ($300M Series B+)
Principal Mineral 🇺🇸 - Critical minerals midstream ($280M Equity)
Dream Security 🇮🇱 - Sovereign AI defense ($260M Equity)
Galaxy Data Center 🇸🇬 - AI data center platform ($250M Equity)
@Behavox 🇬🇧 - AI compliance platform ($175M Preferred Equity)

A breakdown of the 10 biggest bets VCs made this week (a thread) 🧵

[fundable @fundable_ai]

10 seed raises you probably missed this week.

@RadicalNumerics - Biological AI lab ($50M seed)
@traysartech - Subterranean defense tech ($25M seed)
@architectlabs - AI chip design ($24M seed)
Critical Energy - Geothermal turbines ($19M seed)
@tastelabs - AI taste and judgment layer ($18.5M seed)
@noxmetals - AI metals supplier ($11.5M seed)
@magnitude_hq - AI third-party risk ($10M seed)
HighGround - Defense capital intelligence ($6.5M seed)
@copperlaneai - AI mortgage origination ($4.1M seed)
@joinswsh - Fan engagement platform ($4M seed)

Breakdown of these emerging companies (a thread)

[Nuke @nuketrade]

delta-neutral yield, accessible by default

coming soon on @solana

[Nuke @nuketrade]

Introducing Nuke ⚡
The trading layer for perp DEXs.

We’re building Nuke to help traders earn sustainable APYs through funding rate arbitrage, capturing inefficiencies across perpetual markets automatically and at scale.

[Almanac @almanac_market]

https://t.co/UMHnwFC43z

[Positions Finance @PositionsFi]

Prediction markets don't grow through ideas alone. They grow through the products people use and the builders behind them.

This week on THE DESK // a conversation with the teams building new ways to discover, trade, and participate in markets.

Ft. @functionspaceHQ @trycoinpilot @playhunchxyz @aeonarena

18 June 2026 at 04:30 UTC – Set Reminder Now 👇

[functionSPACE @functionspaceHQ]

Tight summary on the state of PM's and some observations about where we can go - cheers for the shout out @Rashan

[functionSPACE @functionspaceHQ]

👀 what if what seemed like a bug was actually a feature - numerical range markets can actually have parity with the benefit of a simple "who wins" while allowing for trades that meet the traders level of sophistication

[Itô @itomarkets]

Prediction markets let you trade any event in the world.

Nobody gave you a way to hedge a geopolitical
crisis, trade the AI narrative, or profit off a
macro shock as one position.

We did.

The Itô Thesis.

[Damnang @damnang2]

The Time of OSATs Is Coming

[Legion @uselegion]

The hardest money to raise in venture is your first institutional check.

These are the LPs who back first-time funds:

1. Cendana Capital (@CendanaCapital)
Michael Kim's fund-of-funds. Anchors very early-stage and micro VC funds, often on Fund I.

2. Screendoor (@screendoorvc)
Built for one purpose: anchoring new managers raising their first institutional fund.

3. Recast Capital (@RecastCapital)
Backs emerging managers and runs an enablement program for women-led funds.

4. Plexo Capital (@PlexoCapital)
Founded by Lo Toney (@lo_toney). Backs diverse GPs and first-time funds globally.

5. Chris Douvos (@cdouvos)
Ahoy Capital. The self-described "SuperLP," backing emerging managers others pass on.

6. Beezer Clarkson (@Beezer232)
Runs @Open_LP, MD at LGT Capital Partners. Maybe the most public emerging-manager advocate in venture.

7. Samir Kaji (@Samirkaji)
CEO of Allocate, host of Venture Unlocked. Has backed first-time managers for 20+ years.

Save this for your next raise.

Who else actually backs first-timers? Tag them.

[Sasha Malysheva @aimalysheva]

another day, another batch haha

- @RicursiveAI (@annadgoldie)
- @AI21Labs (@AmnonShashua, @origoshen, @yshoham)
- @unconvai (@mcarbin)
- @inflectionAI (@mustafasuleyman)
- @hark_labs (@adcock_brett)
- @simile_ai (@percyliang, @joon_s_pk)

as always, you're welcome to bookmark the post, subscribe to the list, and suggest who else should be there :)

https://t.co/mIJB2Ml8GO

[NEA @NEA]

🤠 It’s the Neolab wild west! The era of betting on frontier generalist AI labs may be over — and the next trillion dollars could belong to specialized Neolabs. 🤖🧪

In order to be the ace cowboy, we believe the best Neo Lab formula needs three layers: a proprietary domain corpus, a closed RL training loop, and a domain-specific verifier — each reinforcing the others as a compounding moat. 💡

NEA's @thomastjoshi @lilatretikov @AndrewSchoen & former NEA team member-turned AI operator @maddiehfaulkner collaborate on: The Neolab Wild West 🐎

https://t.co/76Zsxzquso