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Two companies hit billion-dollar marks this week by pitching the future harder than the present. One sold ten years of preventive health before the tests proved anything. The other is floating a $2T IPO on revenue projections that triple by next year.

The pattern: investors are buying belief systems again. The question is whether the fundamentals arrive before the multiples correct. Either way, the bar for vision just moved.

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RUSHIN' ROULETTE



Five bullets of updates

  1. 🛡️ Hackers using AI agents breached Taiwan’s government computer systems in just four days, extracting sensitive data from Ministry of Digital Affairs networks. The AI-driven attack shows how automated tooling can compress breach timelines and raise the bar for national and enterprise security teams that rely on slower, manual cyber defenses.

  2. 📵 Meta removed 756,000 Instagram and Facebook accounts tied to Australian teens under 16 after a new national social-media ban. The purge shows how weak age-gating remains: 80% of teens still use the platforms, signaling tougher global youth-safety rules ahead and demand for better in-app age checks and parental controls.

  3. 🚨 X (formerly Twitter social network) is open-sourcing its ‘For You’ ranking algorithm and adding shadowban visibility tools for all accounts. By letting users see when ranking systems have limited their reach, X shifts power toward creators and regulators scrutinizing opaque recommendation engines and moderation bias.

  4. 🤖 Josh Kushner’s Thrive Holdings investment firm has raised $2 billion to buy AI‑vulnerable accounting, IT, and other service firms. By embedding its own engineers and AI tools into these incumbents’ workflows, it’s betting that acquiring and upgrading legacy operators will out-earn building greenfield AI startups to attack them.

  5. 🧬 Vivodyne, a drug-testing startup near San Francisco, is running the world’s largest “biological datacenter” to grow human tissue and execute thousands of AI-designed drug experiments in parallel. If regulators accept these data to replace preclinical animal studies, pharma pipelines could shorten, costs drop, and trial failure risk fall.

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“From one entrepreneur to another, no one has time to make skincare another problem to solve. I started burnd because my mom got melanoma. We made the rest because I couldn't find simple products or straight answers I trusted. Skincare doesn't need to be complicated. Protect, clean, moisturize. That’s it. And if you're only going to do one thing, use sunscreen.”

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STARTUP NEWS



She dropped out of Harvard, then built a $2.5B checkup

Photo by Mingwei Lim on Unsplash

In healthtech, “move fast and break things” sounds less clever when the thing is your pancreas. Pranitha Patil dropped out of Harvard after her own PCOS and prediabetes scare to build Function, now a $2.5B preventive health membership. The bet: people will pay to know their real risk and biological age before the system calls it “disease.”

Function offers 160+ labs, MRI/CT, and AI that turns scattered inputs into a longitudinal, layperson-readable picture of health for $365/year instead of five-figure à la carte testing. Act one was distribution and trust: get people testing multiple times a year and prove the numbers move.

Act two is scale via acquisitions and AI. They’re using deals for imaging, supplements, and home draws to build a preventive stack, while AI stitches labs and imaging into an insight layer that’s hard to unseat.

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BIG TECH NEWS



Anthropic chases a $2T IPO while its own models stay quiet

Investors, not Anthropic, are sketching a $2T IPO. In late‑stage AI, reality often trails the term sheet. On their math, the lab would list at ~43x its last disclosed $47B in annualized revenue, actually cheaper than AI proxies trading near 55x, and above SpaceX’s $1.77T June debut.

The machinery is real: three bulge‑brackets are assembling an autumn float and the CFO is already probing appetite in meetings. Bulls model revenue jumping toward $100–120B by end‑2026.

The bear case is simpler. U.S. regulators have already shut top models off once. Enterprise buyers are simultaneously standardizing on Anthropic and capping AI spend, with cheaper Chinese and open‑weight rivals closing the gap. The S‑1 will show whether this is disciplined exuberance or the cycle’s purest momentum trade.

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