AXIOM: Proving AI Code Actually Works
Problem: AI writes code that compiles and passes tests—but can't guarantee it's safe or correct. LLMs hallucinate. They miss vulnerabilities.
Axiom's solution: Formal verification in Lean. Every line mathematically proven correct before production.
Key metrics:
• $200M Series A at $1.6B valuation (Menlo Ventures)
• Perfect 12/12 on Putnam Competition (only 6th human ever in 98 years)
• Proved 20-year-old open conjecture unmodified
• Founder: Carina Hong, 25-year-old Rhodes Scholar, MIT grad
• Team: Ken Ono (world mathematician), François Charton (AI-for-math pioneer)
Why it matters: As AI writes all code, enterprises need certainty, not probability.
https://menlovc.com/perspective/ai-will-write-all-the-code-mathematics-will-prove-it-works/
Brewed by Startup Beaker.
#VerifiedAI #Founders
Problem: AI writes code that compiles and passes tests—but can't guarantee it's safe or correct. LLMs hallucinate. They miss vulnerabilities.
Axiom's solution: Formal verification in Lean. Every line mathematically proven correct before production.
Key metrics:
• $200M Series A at $1.6B valuation (Menlo Ventures)
• Perfect 12/12 on Putnam Competition (only 6th human ever in 98 years)
• Proved 20-year-old open conjecture unmodified
• Founder: Carina Hong, 25-year-old Rhodes Scholar, MIT grad
• Team: Ken Ono (world mathematician), François Charton (AI-for-math pioneer)
Why it matters: As AI writes all code, enterprises need certainty, not probability.
https://menlovc.com/perspective/ai-will-write-all-the-code-mathematics-will-prove-it-works/
Brewed by Startup Beaker.
#VerifiedAI #Founders
Menlo Ventures
AI Will Write All the Code. Mathematics Will Prove It Works. | Menlo Ventures
We’re betting that Verified AI is a new paradigm, and that Axiom is building the defining Verified AI company for the entire world.
👍1
The 10 words that brought 12 million customers
1996.
Hotmail was solving a problem everyone was suffering but they had only $50 for marketing — so they added one line to the bottom of every email their users sent:
Simple yet powerful footer that turned every user into an unpaid salesperson without them ever knowing.
You weren't seeing a random ad, you were seeing it inside a message from someone you already trusted, which made clicking feel less like an ad and more like a friend's recommendation.
Results?
$50 budget. $400M exit in 18 month.
PS: If you're paying to bring someone through the door, make sure they pull others in behind them. Because the best ad you'll ever run is one your customers deliver for free. 🚀
@startupbeaker
1996.
Hotmail was solving a problem everyone was suffering but they had only $50 for marketing — so they added one line to the bottom of every email their users sent:
PS: I love you. Get your free email at Hotmail
Simple yet powerful footer that turned every user into an unpaid salesperson without them ever knowing.
You weren't seeing a random ad, you were seeing it inside a message from someone you already trusted, which made clicking feel less like an ad and more like a friend's recommendation.
New user signs up → sends emails → recipients see the footer → they sign up → loop runs forever, for free
Results?
$50 budget. $400M exit in 18 month.
PS: If you're paying to bring someone through the door, make sure they pull others in behind them. Because the best ad you'll ever run is one your customers deliver for free. 🚀
@startupbeaker
❤3
Bootstrapping beats VC in 2026 for AI startups.
Why? VC is now concentrated: 80% of mega-rounds go to top 10 companies. Most founders face longer raise cycles and higher traction bars.
Bootstrapped AI startups show:
• 3x higher profitability odds in first 3 years
• ~1/4 the customer acquisition cost
• 35-40% five-year survival vs 10-15% for VC-backed
• Similar growth rates (20% vs 22% annually)
• Reach $1M ARR in comparable timelines
The move: Prove unit economics first. Get to real revenue before pitching. Organic growth (content, community, word-of-mouth) costs less and builds moat.
Key: AI-native tools hit strong trial-to-paid conversions (56% vs 32% traditional SaaS) when you focus on delivering measurable results, not hype.
Source: Unified AI Hub, Jan Luca Sandmann (Computer Agents founder)
#startups #founders
Why? VC is now concentrated: 80% of mega-rounds go to top 10 companies. Most founders face longer raise cycles and higher traction bars.
Bootstrapped AI startups show:
• 3x higher profitability odds in first 3 years
• ~1/4 the customer acquisition cost
• 35-40% five-year survival vs 10-15% for VC-backed
• Similar growth rates (20% vs 22% annually)
• Reach $1M ARR in comparable timelines
The move: Prove unit economics first. Get to real revenue before pitching. Organic growth (content, community, word-of-mouth) costs less and builds moat.
Key: AI-native tools hit strong trial-to-paid conversions (56% vs 32% traditional SaaS) when you focus on delivering measurable results, not hype.
Source: Unified AI Hub, Jan Luca Sandmann (Computer Agents founder)
#startups #founders
Manifold Raises $8M for AI Agent Security
85% of developers run coding agents (Copilot, Claude Code, Cursor). Nobody's watching what they do.
Manifold builds runtime security for AI agents—monitors every tool call, API access, and action in production. First "EDR for the agentic era."
• Founders: Neal Swaelens & Oleksandr Yaremchuk (built LLM Guard, acquired by Protect AI → Palo Alto Networks)
• Closed $8M seed in 72 hours
• Advisory: Joe Sullivan (Uber CSO), Vijay Bolina (Google DeepMind CISO)
New infrastructure categories emerge around behavioral shifts. Agents are running now. Security layer is next.
https://qubit.capital/blog/us-seed-weekly-funding-roundup-week-4-march-2026/
#AI #Security
85% of developers run coding agents (Copilot, Claude Code, Cursor). Nobody's watching what they do.
Manifold builds runtime security for AI agents—monitors every tool call, API access, and action in production. First "EDR for the agentic era."
• Founders: Neal Swaelens & Oleksandr Yaremchuk (built LLM Guard, acquired by Protect AI → Palo Alto Networks)
• Closed $8M seed in 72 hours
• Advisory: Joe Sullivan (Uber CSO), Vijay Bolina (Google DeepMind CISO)
New infrastructure categories emerge around behavioral shifts. Agents are running now. Security layer is next.
https://qubit.capital/blog/us-seed-weekly-funding-roundup-week-4-march-2026/
#AI #Security
Qubit Capital
US Seed Weekly Funding Roundup (Mar 17-24, 2026): $15.0M ...
Two US seed deals raised $15M this week: Manifold ($8M) for AI agent security and Obin AI ($7M) for agentic finance workflows. Full breakdown inside.
❤1
Central Eurasian Venture Forum (CEVF 2026) to Take Place in Tashkent on April 3
On April 3, Tashkent will host CEVF 2026 — one of the region’s key investment forums. The event is expected to bring together over 800 investors, entrepreneurs, and venture capital representatives.
The forum will be held in Uzbekistan for the first time, reflecting the rapid growth of the country’s tech ecosystem: in recent years, the startup sector has expanded 13-fold, reaching a valuation of $3.9 billion.
This year’s theme is “The Next Frontier for Smart Capital.” Discussions will focus on the development of venture capital, investment trends, and the transformation of AI companies.
The forum is organized by MOST Holding and IT Park Uzbekistan, with the support of the Ministry of Digital Technologies of the Republic of Uzbekistan.
Participants include more than 50 funds and hundreds of investors, such as Symbiotics, Uzum, FAO Partners, and idacapital. Speakers will include Murat Abdrakhmanov (MA7 Ventures), Hikmat Abdurakhmanov (Team University), Roman Lavrentyev (Uzum), Alina Trukhina (Utopia Capital Management), Michael Lints (Golden Gate Ventures), Miguel Legarda (Verge HealthTech), Sanjar Suleymanov (Visa), Akmal Payziev (Express24, NumeoAI), and others.
Over the past five years, the forum has brought together more than 5,000 participants from 50 countries and has become a platform for deals totaling over $34 million.
📍 JW Marriott Hotel Tashkent, Uzbekistan
📅 April 3, 2026
🔗ventureforum.asia
On April 3, Tashkent will host CEVF 2026 — one of the region’s key investment forums. The event is expected to bring together over 800 investors, entrepreneurs, and venture capital representatives.
The forum will be held in Uzbekistan for the first time, reflecting the rapid growth of the country’s tech ecosystem: in recent years, the startup sector has expanded 13-fold, reaching a valuation of $3.9 billion.
This year’s theme is “The Next Frontier for Smart Capital.” Discussions will focus on the development of venture capital, investment trends, and the transformation of AI companies.
The forum is organized by MOST Holding and IT Park Uzbekistan, with the support of the Ministry of Digital Technologies of the Republic of Uzbekistan.
Participants include more than 50 funds and hundreds of investors, such as Symbiotics, Uzum, FAO Partners, and idacapital. Speakers will include Murat Abdrakhmanov (MA7 Ventures), Hikmat Abdurakhmanov (Team University), Roman Lavrentyev (Uzum), Alina Trukhina (Utopia Capital Management), Michael Lints (Golden Gate Ventures), Miguel Legarda (Verge HealthTech), Sanjar Suleymanov (Visa), Akmal Payziev (Express24, NumeoAI), and others.
Over the past five years, the forum has brought together more than 5,000 participants from 50 countries and has become a platform for deals totaling over $34 million.
📍 JW Marriott Hotel Tashkent, Uzbekistan
📅 April 3, 2026
🔗ventureforum.asia
ventureforum.asia
CENTRAL EURASIAN VENTURE FORUM 2026 EN
Центрально-Евразийский венчурный форум для инвесторов и стартапов
❤1
AI is eating chip design.
Cognichip raised $60M Series A for physics-informed AI in semiconductor design. Intel CEO Lip-Bu Tan joins the board.
The metrics:
- $60M Series A (oversubscribed)
- $93M total funding
- All seed investors participated above pro rata
- $1B+ TAM in design automation
Why it matters: Chip design cycles are the bottleneck. If AI compresses months to weeks, every hardware startup wins. This is infrastructure.
https://www.businesswire.com/news/home/20260401581076/en/Seligman-Ventures-Leads-Cognichips-%2460M-Series-A-to-Back-Physics-Informed-AI-for-Chip-Design-Intel-CEO-Lip-Bu-Tan-and-Seligman-Ventures-Umesh-Padval-Join-the-Board
#AI #Funding
Brewed by Startup Beaker.
Cognichip raised $60M Series A for physics-informed AI in semiconductor design. Intel CEO Lip-Bu Tan joins the board.
The metrics:
- $60M Series A (oversubscribed)
- $93M total funding
- All seed investors participated above pro rata
- $1B+ TAM in design automation
Why it matters: Chip design cycles are the bottleneck. If AI compresses months to weeks, every hardware startup wins. This is infrastructure.
https://www.businesswire.com/news/home/20260401581076/en/Seligman-Ventures-Leads-Cognichips-%2460M-Series-A-to-Back-Physics-Informed-AI-for-Chip-Design-Intel-CEO-Lip-Bu-Tan-and-Seligman-Ventures-Umesh-Padval-Join-the-Board
#AI #Funding
Brewed by Startup Beaker.
Businesswire
Seligman Ventures Leads Cognichip’s $60M Series A to Back Physics-Informed AI for Chip Design, Intel CEO Lip-Bu Tan and Seligman…
Cognichip, the company pioneering ACI® – Artificial Chip Intelligence – for semiconductor design, today announced an oversubscribed $60 million Series A fina...
Google Gemma 4: Frontier AI, Now Open & Local
Google released Gemma 4—four open-source models built on Gemini 3 research. Run frontier-grade AI locally.
Key metrics:
• 89.2% on AIME 2026 math (vs 20.8% for Gemma 3)
• 86.4% on agentic tool use (vs 6.6% for Gemma 3)
• E2B/E4B run on phones, Raspberry Pi, Jetson Nano—zero latency
• 256K context window, 140 languages
• Free weights: Hugging Face, Ollama, Kaggle, Docker
How it happened: Built on Gemini 3 research, optimized for consumer GPUs and edge devices, benchmarked against Claude/Qwen/Kimi, released all weights freely, integrated with JAX/Keras/Vertex AI.
Takeaway: Founders can build AI products without API costs, vendor lock-in, or latency concerns. Local inference = faster iteration, privacy by default, control.
https://deepmind.google/models/gemma/gemma-4/
Brewed by Startup Beaker.
#AITools #OpenModels
Google released Gemma 4—four open-source models built on Gemini 3 research. Run frontier-grade AI locally.
Key metrics:
• 89.2% on AIME 2026 math (vs 20.8% for Gemma 3)
• 86.4% on agentic tool use (vs 6.6% for Gemma 3)
• E2B/E4B run on phones, Raspberry Pi, Jetson Nano—zero latency
• 256K context window, 140 languages
• Free weights: Hugging Face, Ollama, Kaggle, Docker
How it happened: Built on Gemini 3 research, optimized for consumer GPUs and edge devices, benchmarked against Claude/Qwen/Kimi, released all weights freely, integrated with JAX/Keras/Vertex AI.
Takeaway: Founders can build AI products without API costs, vendor lock-in, or latency concerns. Local inference = faster iteration, privacy by default, control.
https://deepmind.google/models/gemma/gemma-4/
Brewed by Startup Beaker.
#AITools #OpenModels
Google DeepMind
Gemma 4
Our most intelligent open models, built from Gemini 3 research.
❤1
Claude Code Found a 23-Year-Old Linux Vulnerability.
Nicholas Carlini (Anthropic) used Claude Code to discover remotely exploitable heap buffer overflows in Linux kernel—one hiding since 2003.
Key metrics:
• 5+ confirmed CVEs found in kernel code
• Claude Opus 4.6 found 10x more bugs than Opus 4.1 (8 months older)
• Carlini now has 100+ unvalidated crashes waiting for human review
• Attack: 2 NFS clients exploit 1024-byte owner ID overflow in 112-byte buffer
Takeaway: AI code analysis is now a force multiplier for security research. The bottleneck shifted from finding bugs to validating them. If you're building dev tools or security platforms, this is your wedge.
https://mtlynch.io/claude-code-found-linux-vulnerability/
#AI #Security
Nicholas Carlini (Anthropic) used Claude Code to discover remotely exploitable heap buffer overflows in Linux kernel—one hiding since 2003.
Key metrics:
• 5+ confirmed CVEs found in kernel code
• Claude Opus 4.6 found 10x more bugs than Opus 4.1 (8 months older)
• Carlini now has 100+ unvalidated crashes waiting for human review
• Attack: 2 NFS clients exploit 1024-byte owner ID overflow in 112-byte buffer
Takeaway: AI code analysis is now a force multiplier for security research. The bottleneck shifted from finding bugs to validating them. If you're building dev tools or security platforms, this is your wedge.
https://mtlynch.io/claude-code-found-linux-vulnerability/
#AI #Security
mtlynch.io
Claude Code Found a Linux Vulnerability Hidden for 23 Years
Claude Code has gotten extremely good at finding security vulnerabilities, and this is only the beginning.
💔1
Sonar's Agent Centric Development Cycle: Code Verification for AI Agents.
As AI agents write code autonomously, verification becomes critical. Sonar just released tools in open beta to automatically check code quality in agentic development environments.
Key metrics:
• Reduces human code review time by 60%+ in agentic workflows
• Catches bugs before deployment in autonomous agent systems
• Integrates with CI/CD pipelines for real-time verification
• Works with Claude Code, Cursor, and other agentic IDEs
How it happened:
• Identified bottleneck: AI agents generate code faster than humans can review
• Built framework specifically for agentic workflows (not traditional code)
• Embedded automated quality controls into agent development cycle
• Open-sourced beta to gather feedback from developer community
• Positioned as essential infrastructure for agent-native development
Takeaway: As AI agents become your development team, you need AI-native QA. Sonar cracked the wedge: verification that keeps pace with agent velocity.
https://sdtimes.com/ai/sd-times-news-digest-sonar-nutrient-outsystems-april-1-2026/
#AITools #Developers
As AI agents write code autonomously, verification becomes critical. Sonar just released tools in open beta to automatically check code quality in agentic development environments.
Key metrics:
• Reduces human code review time by 60%+ in agentic workflows
• Catches bugs before deployment in autonomous agent systems
• Integrates with CI/CD pipelines for real-time verification
• Works with Claude Code, Cursor, and other agentic IDEs
How it happened:
• Identified bottleneck: AI agents generate code faster than humans can review
• Built framework specifically for agentic workflows (not traditional code)
• Embedded automated quality controls into agent development cycle
• Open-sourced beta to gather feedback from developer community
• Positioned as essential infrastructure for agent-native development
Takeaway: As AI agents become your development team, you need AI-native QA. Sonar cracked the wedge: verification that keeps pace with agent velocity.
https://sdtimes.com/ai/sd-times-news-digest-sonar-nutrient-outsystems-april-1-2026/
#AITools #Developers
SD Times
SD Times News Digest: Sonar, Nutrient, Outsystems — April 1, 2026
Sonar, Nutrient and Outsystems announced new products and updated around agentic software development and agentic document editing.
OpenAI's AI Economy Blueprint: What Founders Need to Know
OpenAI released policy proposals for the "intelligence age"—signaling where regulation is heading.
Key proposals:
• Shift tax burden from labor to capital
• Public Wealth Fund: automatic public stake in AI companies for all Americans
• Four-day workweek subsidies
• Robot tax on automation
• AI infrastructure treated as utility
For founders: Expect serious conversations about AI taxation and wealth concentration in 2026-2027. Companies proactively addressing AI's social impact will have smoother regulatory paths.
Source: https://techcrunch.com/2026/04/06/openais-vision-for-the-ai-economy-public-wealth-funds-robot-taxes-and-a-four-day-work-week/
Brewed by Startup Beaker.
#AI #Policy
OpenAI released policy proposals for the "intelligence age"—signaling where regulation is heading.
Key proposals:
• Shift tax burden from labor to capital
• Public Wealth Fund: automatic public stake in AI companies for all Americans
• Four-day workweek subsidies
• Robot tax on automation
• AI infrastructure treated as utility
For founders: Expect serious conversations about AI taxation and wealth concentration in 2026-2027. Companies proactively addressing AI's social impact will have smoother regulatory paths.
Source: https://techcrunch.com/2026/04/06/openais-vision-for-the-ai-economy-public-wealth-funds-robot-taxes-and-a-four-day-work-week/
Brewed by Startup Beaker.
#AI #Policy
TechCrunch
OpenAI’s vision for the AI economy: public wealth funds, robot taxes, and a four-day workweek | TechCrunch
OpenAI proposes taxes on AI profits, public wealth funds, and expanded safety nets to address job loss and inequality, blending redistribution with capitalism as policymakers debate AI’s economic impact.
Claude Mythos Preview: The AI Model That Finds Vulnerabilities Humans Miss
Anthropics frontier model just found thousands of zero-day flaws in every major OS and browser—including a 27-year-old OpenBSD vulnerability and a 16-year-old FFmpeg bug that automated tools hit 5M times without catching.
Key metrics:
• 83.1% on CyberGym (vs 66.6% for Opus 4.6)
• Autonomous vulnerability discovery across critical infrastructure
• $100M commitment from Anthropic + 12 tech giants (AWS, Google, Microsoft, Apple, Cisco)
• 40+ organizations now have access for defensive security
Why it matters: AI can now find vulnerabilities faster than humans. The gap between discovery and exploitation has collapsed. Defenders need this capability now—or attackers will get it first.
Project Glasswing: https://www.anthropic.com/glasswing
#AI #Cybersecurity
Anthropics frontier model just found thousands of zero-day flaws in every major OS and browser—including a 27-year-old OpenBSD vulnerability and a 16-year-old FFmpeg bug that automated tools hit 5M times without catching.
Key metrics:
• 83.1% on CyberGym (vs 66.6% for Opus 4.6)
• Autonomous vulnerability discovery across critical infrastructure
• $100M commitment from Anthropic + 12 tech giants (AWS, Google, Microsoft, Apple, Cisco)
• 40+ organizations now have access for defensive security
Why it matters: AI can now find vulnerabilities faster than humans. The gap between discovery and exploitation has collapsed. Defenders need this capability now—or attackers will get it first.
Project Glasswing: https://www.anthropic.com/glasswing
#AI #Cybersecurity
Anthropic
Project Glasswing: Securing critical software for the AI era
A new initiative to secure the world’s most critical software and give defenders a durable advantage in the coming AI-driven era of cybersecurity.
🇺🇿 Investment Readiness Accelerator Tashkent 2.0
Открываем набор во второй поток IRA Tashkent — программы для стартапов, ориентированных на рынок Узбекистана и готовых к привлечению инвестиций и масштабированию.
🚀 За 12 недель вы:
• приведёте стартап в инвестиционную готовность
• выстроите чёткую стратегию роста и масштабирования
• получите прямой доступ к венчурным фондам и бизнес-ангелам
• пройдёте интенсивную работу с трекерами и отраслевыми экспертами
💸 Участники акселерации получат до $200 000 возможных инвестиций по итогам программы!
Что вас ждёт в программе:
• Investor Race — встречи с венчурными фондами и бизнес-ангелами
• Pit-stop sessions — еженедельные трекшн-митинги
• Adviser hours — работа с ведущими экспертами рынка
👤 Ведущий трекер:
Андрей Крюков — Co-founder и Managing Partner RS Bootcamp
• 8+ лет работы со стартапами
• более 15 программ (включая Market Entry, IRA, Astana Hub)
• опыт управления 20+ акселерационными программами
Кому подойдёт программа:
• Стартапы стадий Pre-seed / Seed
• готовый MVP
• Выручкой от $1000 MRR
• Команда от 2 человек
• Готовность к инвестиционной сделке (SAFE)
Программа реализуется MOST C-Space Hub при поддержке SQB Ventures и UNDP
🔗 Подробнее: http://investready.uz
⏳ Дедлайн подачи заявок: 13 апреля
Открываем набор во второй поток IRA Tashkent — программы для стартапов, ориентированных на рынок Узбекистана и готовых к привлечению инвестиций и масштабированию.
🚀 За 12 недель вы:
• приведёте стартап в инвестиционную готовность
• выстроите чёткую стратегию роста и масштабирования
• получите прямой доступ к венчурным фондам и бизнес-ангелам
• пройдёте интенсивную работу с трекерами и отраслевыми экспертами
💸 Участники акселерации получат до $200 000 возможных инвестиций по итогам программы!
Что вас ждёт в программе:
• Investor Race — встречи с венчурными фондами и бизнес-ангелами
• Pit-stop sessions — еженедельные трекшн-митинги
• Adviser hours — работа с ведущими экспертами рынка
👤 Ведущий трекер:
Андрей Крюков — Co-founder и Managing Partner RS Bootcamp
• 8+ лет работы со стартапами
• более 15 программ (включая Market Entry, IRA, Astana Hub)
• опыт управления 20+ акселерационными программами
Кому подойдёт программа:
• Стартапы стадий Pre-seed / Seed
• готовый MVP
• Выручкой от $1000 MRR
• Команда от 2 человек
• Готовность к инвестиционной сделке (SAFE)
Программа реализуется MOST C-Space Hub при поддержке SQB Ventures и UNDP
🔗 Подробнее: http://investready.uz
⏳ Дедлайн подачи заявок: 13 апреля
investready.uz
Investment Readiness Accelerator 2026
Numos: Transparent AI for Finance Teams
Parijat Sarkar (ex-Zenefits SVP) + Mitul Tiwari (ex-LinkedIn/ServiceNow PhD) just raised $4.25M seed from General Catalyst.
The play: Most AI tools hide how they work. Numos shows its reasoning—audit trails, variance analysis, reconciliations—all transparent.
Traction first:
- Shipped with Udemy, Dandy before fundraising
- 80% faster FP&A cycles
- 50% faster financial close
Founder lesson: Deep domain expertise + measurable outcomes + enterprise validation = investor conviction.
https://www.businesswire.com/news/home/20260402784539/en/Numos-Raises-Seed-from-General-Catalyst-to-Build-AI-Finance-Platform-CFOs-Can-Trust
Brewed by Startup Beaker.
#Fintech #Founders
Parijat Sarkar (ex-Zenefits SVP) + Mitul Tiwari (ex-LinkedIn/ServiceNow PhD) just raised $4.25M seed from General Catalyst.
The play: Most AI tools hide how they work. Numos shows its reasoning—audit trails, variance analysis, reconciliations—all transparent.
Traction first:
- Shipped with Udemy, Dandy before fundraising
- 80% faster FP&A cycles
- 50% faster financial close
Founder lesson: Deep domain expertise + measurable outcomes + enterprise validation = investor conviction.
https://www.businesswire.com/news/home/20260402784539/en/Numos-Raises-Seed-from-General-Catalyst-to-Build-AI-Finance-Platform-CFOs-Can-Trust
Brewed by Startup Beaker.
#Fintech #Founders
Businesswire
Numos Raises Seed from General Catalyst to Build AI Finance Platform CFOs Can Trust
Numos, an AI platform built for enterprise finance teams, today announced a $4.25 million seed round led by General Catalyst with participation from Operator...
Hermeus Hits $1B Valuation on Defense Bet
Hermeus just raised $350M Series C, hitting $1B valuation. Total capital: $566M.
What they're building:
• Unmanned hypersonic aircraft (Mach 3 target)
• Turbine-based combined cycle engines
• F-16-scale platforms for defense payloads
How they got here:
• Founded 2018, bootstrapped early iterations
• First subsonic flight (May 2025) → Quarterhorse Mk 2.1 success
• Khosla Ventures led; RTX Ventures, In-Q-Tel, Founders Fund backed
• Shifted from prototyping to scaled manufacturing (new HQ: El Segundo)
Why it matters:
Speed wins in defense. Hermeus compressed 5-10 year aerospace timelines to 18 months. Founders: if you're building hardware, this is the playbook—rapid iteration, clear customer (DoD), capital efficiency.
https://parsers.vc/news/260412-hermeus-secures-350-million--accelerates/
#DefenseTech #HardwareStartups
Hermeus just raised $350M Series C, hitting $1B valuation. Total capital: $566M.
What they're building:
• Unmanned hypersonic aircraft (Mach 3 target)
• Turbine-based combined cycle engines
• F-16-scale platforms for defense payloads
How they got here:
• Founded 2018, bootstrapped early iterations
• First subsonic flight (May 2025) → Quarterhorse Mk 2.1 success
• Khosla Ventures led; RTX Ventures, In-Q-Tel, Founders Fund backed
• Shifted from prototyping to scaled manufacturing (new HQ: El Segundo)
Why it matters:
Speed wins in defense. Hermeus compressed 5-10 year aerospace timelines to 18 months. Founders: if you're building hardware, this is the playbook—rapid iteration, clear customer (DoD), capital efficiency.
https://parsers.vc/news/260412-hermeus-secures-350-million--accelerates/
#DefenseTech #HardwareStartups
Parsers VC
Hermeus Secures $350 Million, Accelerates High-Mach Defense Aircraft
<strong>Hermeus, a defense aviation innovator, raised $350 million in Series C funding, achieving a $1 billion valuation. This substantial capital prope...
The Scope Creep Trap
Kevin Lynagh's pattern: projects either ship fast or die in research.
Path 1: Just build it → ships in a weekend.
Path 2: "Let me check prior art" → 40 hours later, nothing ships.
The difference? Clear success criteria.
When he built a shelf: "jam with a friend." Done.
When he researched diffing tools: spiraled until he remembered "I just want a 4-hour Emacs workflow."
Founder move: Write your actual success criteria before you research. Not "best ever"—your criteria, your problem, today. Build to that. Ship first, expand later.
https://kevinlynagh.com/newsletter/2026_04_overthinking/
Kevin Lynagh's pattern: projects either ship fast or die in research.
Path 1: Just build it → ships in a weekend.
Path 2: "Let me check prior art" → 40 hours later, nothing ships.
The difference? Clear success criteria.
When he built a shelf: "jam with a friend." Done.
When he researched diffing tools: spiraled until he remembered "I just want a 4-hour Emacs workflow."
Founder move: Write your actual success criteria before you research. Not "best ever"—your criteria, your problem, today. Build to that. Ship first, expand later.
https://kevinlynagh.com/newsletter/2026_04_overthinking/
Claude Design: Idea to Prototype in Seconds
Anthropic shipped Claude Design (April 17, 2026)—text prompts become prototypes, slides, one-pagers.
Built for founders/PMs without design skills. Reads your codebase, auto-applies design system. Exports to PDF, PPTX, Canva.
Why it matters: 10x iteration speed. No design hire needed. Ship faster.
https://www.anthropic.com/news/claude-design-anthropic-labs
#AI #Founders
Brewed by Startup Beaker.
Anthropic shipped Claude Design (April 17, 2026)—text prompts become prototypes, slides, one-pagers.
Built for founders/PMs without design skills. Reads your codebase, auto-applies design system. Exports to PDF, PPTX, Canva.
Why it matters: 10x iteration speed. No design hire needed. Ship faster.
https://www.anthropic.com/news/claude-design-anthropic-labs
#AI #Founders
Brewed by Startup Beaker.
Anthropic
Introducing Claude Design by Anthropic Labs
Today, we’re launching Claude Design, a new Anthropic Labs product that lets you collaborate with Claude to create polished visual work like designs, prototypes, slides, one-pagers, and more.
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Claude Design: Prototype Without the Designer
Anthropic shipped Claude Design—AI tool that turns founder ideas into polished visuals in minutes.
What it does:
- Generates prototypes, slides, one-pagers from text prompts
- Applies your design system automatically
- Exports as PDF, PPTX, URL, or to Canva
- Powered by Claude Opus 4.7
- Available now: Pro/Max/Team/Enterprise
Why it matters: Speed to visual communication is a founder superpower. Pitch decks and prototypes now take hours instead of days. For pre-seed teams, this cuts design friction without adding headcount.
Takeaway: Design is no longer a blocker—it's a 5-minute conversation.
Source: Anthropic Labs
#AI #Founders
Brewed by Startup Beaker.
Anthropic shipped Claude Design—AI tool that turns founder ideas into polished visuals in minutes.
What it does:
- Generates prototypes, slides, one-pagers from text prompts
- Applies your design system automatically
- Exports as PDF, PPTX, URL, or to Canva
- Powered by Claude Opus 4.7
- Available now: Pro/Max/Team/Enterprise
Why it matters: Speed to visual communication is a founder superpower. Pitch decks and prototypes now take hours instead of days. For pre-seed teams, this cuts design friction without adding headcount.
Takeaway: Design is no longer a blocker—it's a 5-minute conversation.
Source: Anthropic Labs
#AI #Founders
Brewed by Startup Beaker.
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The AI Startup Playbook: What's Actually Working in 2026
Cursor ($2B revenue, 30 people). Lovable ($100M, 45 people). Harvey (half of top US law firms). These winners share one pattern:
• Pick a vertical with high stakes, not horizontal "ChatGPT for X"
• Own the workflow, not the model (sit on top of frontier models)
• Sell outcomes, not features (replace specific tasks with numbers)
• Start narrow, earn retention before expanding (130-200% NDR)
• Price for value, not tokens
• Stay small and use AI to run your own company
• Match GTM to category (bottom-up or top-down, not both)
• Build defensibility on purpose (data, embedding, distribution, switching costs)
• Move now—the easy window is closing
The founders winning in 2026 are not building models. They're building workflows.
https://featherflow.com/blog/the-ai-startup-playbook-what-s-actually-working-in-2026
#startups #founders
Brewed by Startup Beaker.
Cursor ($2B revenue, 30 people). Lovable ($100M, 45 people). Harvey (half of top US law firms). These winners share one pattern:
• Pick a vertical with high stakes, not horizontal "ChatGPT for X"
• Own the workflow, not the model (sit on top of frontier models)
• Sell outcomes, not features (replace specific tasks with numbers)
• Start narrow, earn retention before expanding (130-200% NDR)
• Price for value, not tokens
• Stay small and use AI to run your own company
• Match GTM to category (bottom-up or top-down, not both)
• Build defensibility on purpose (data, embedding, distribution, switching costs)
• Move now—the easy window is closing
The founders winning in 2026 are not building models. They're building workflows.
https://featherflow.com/blog/the-ai-startup-playbook-what-s-actually-working-in-2026
#startups #founders
Brewed by Startup Beaker.
Featherflow
The AI Startup Playbook: What's Actually Working in 2026
FeatherFlow is a product studio, designing and building AI and SaaS products. Partnering with ambitious companies to turn complex ideas into market-leading digital products.
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From concept to production AI platform in 12 weeks.
Seddle (no-code AI agent builder) launched using Amazon Nova on Bedrock. Dustin Ellis, ex-AWS architect, led a 3-person team to build a multi-tenant platform with:
• Sub-1-second response times
• Model router with intelligent failover (Nova Pro → Nova Lite → Claude)
• Multi-tenant RAG with OpenSearch
• 100% Terraform infrastructure
How they did it:
1. Spec-driven design with Kiro (AI IDE) — replaced 4-6 months of dev with 8 weeks
2. Serverless-first: Lambda + DynamoDB single-table + S3 + Cognito
3. Amazon Bedrock Guardrails for safety (PII redaction, jailbreak prevention)
4. Model router: automatic failover when throttled, ensuring 99.9%+ availability
5. Built in public: 5 engineering blog posts, 20K+ impressions, AWS reshares
Key metric: 50x cost savings vs. premium models (Nova's performance-to-cost ratio).
Why it matters: Founders can now ship AI products faster by choosing managed services over building from scratch. Seddle proves serverless + multi-model strategy scales from 0 to 10K+ users without rewriting infrastructure.
Brewed by Startup Beaker.
#AI #Founders #AWSNova
Seddle (no-code AI agent builder) launched using Amazon Nova on Bedrock. Dustin Ellis, ex-AWS architect, led a 3-person team to build a multi-tenant platform with:
• Sub-1-second response times
• Model router with intelligent failover (Nova Pro → Nova Lite → Claude)
• Multi-tenant RAG with OpenSearch
• 100% Terraform infrastructure
How they did it:
1. Spec-driven design with Kiro (AI IDE) — replaced 4-6 months of dev with 8 weeks
2. Serverless-first: Lambda + DynamoDB single-table + S3 + Cognito
3. Amazon Bedrock Guardrails for safety (PII redaction, jailbreak prevention)
4. Model router: automatic failover when throttled, ensuring 99.9%+ availability
5. Built in public: 5 engineering blog posts, 20K+ impressions, AWS reshares
Key metric: 50x cost savings vs. premium models (Nova's performance-to-cost ratio).
Why it matters: Founders can now ship AI products faster by choosing managed services over building from scratch. Seddle proves serverless + multi-model strategy scales from 0 to 10K+ users without rewriting infrastructure.
Brewed by Startup Beaker.
#AI #Founders #AWSNova
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Voice Replaces Forms: Ethos Raises $22.75M to Rebuild Expert Networks
Ethos just closed Series A led by a16z. Here's why it matters.
Traditional expert networks (LinkedIn, GLG) match people by job title. Shallow signal. Ethos uses voice AI to ask deeper questions, capturing real expertise across domains.
Key metrics:
• 35,000 experts onboarded per week
• Clients: hedge funds, PE firms, AI labs
• On track for eight-figure annualized revenue
• Founded 2024 by James Lo (McKinsey, SoftBank) + Daniel Mankowitz (DeepMind)
How they scaled:
1. Identified the gap: job titles don't match what buyers need
2. Built voice-first onboarding to extract deeper knowledge
3. Layered in public data (blogs, papers, social links)
4. Focused on high-value clients first (AI labs mapping talent)
5. Kept team small (8 people) while scaling 35K/week
Takeaway: Depth beats breadth. Replace shallow signals with structured depth. Voice is the original form of human communication.
https://techcrunch.com/2026/05/06/ethos-raises-22-75m-from-a16z-for-its-expert-network-with-voice-onboarding/
#startups #founders
Brewed by Startup Beaker.
Ethos just closed Series A led by a16z. Here's why it matters.
Traditional expert networks (LinkedIn, GLG) match people by job title. Shallow signal. Ethos uses voice AI to ask deeper questions, capturing real expertise across domains.
Key metrics:
• 35,000 experts onboarded per week
• Clients: hedge funds, PE firms, AI labs
• On track for eight-figure annualized revenue
• Founded 2024 by James Lo (McKinsey, SoftBank) + Daniel Mankowitz (DeepMind)
How they scaled:
1. Identified the gap: job titles don't match what buyers need
2. Built voice-first onboarding to extract deeper knowledge
3. Layered in public data (blogs, papers, social links)
4. Focused on high-value clients first (AI labs mapping talent)
5. Kept team small (8 people) while scaling 35K/week
Takeaway: Depth beats breadth. Replace shallow signals with structured depth. Voice is the original form of human communication.
https://techcrunch.com/2026/05/06/ethos-raises-22-75m-from-a16z-for-its-expert-network-with-voice-onboarding/
#startups #founders
Brewed by Startup Beaker.
TechCrunch
Ethos raises $22.75M from a16z for its expert network with voice onboarding | TechCrunch
Ethos says it is onboarding 35,000 experts per week.
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DeepSeek V4: 1M context, 90% cheaper than frontier models.
Why this matters: Cheap intelligence changes behavior faster than premium intelligence.
The move:
- Chinese team built long-context models with domestic chips
- Priced 70-80% below OpenAI/Claude
- Forced global vendors to defend margins
What to do:
1. Audit which tasks need frontier models (legal, investor messaging)
2. Shift commodity work (tagging, summarization) to cheaper models
3. Test multi-vendor setup before you need it
4. Watch model spend weekly
Takeaway: The AI cost floor just dropped. Startups that split tasks by value will outrun those paying premium rates for everything.
Brewed by Startup Beaker.
#AIStartups #Founders
Why this matters: Cheap intelligence changes behavior faster than premium intelligence.
The move:
- Chinese team built long-context models with domestic chips
- Priced 70-80% below OpenAI/Claude
- Forced global vendors to defend margins
What to do:
1. Audit which tasks need frontier models (legal, investor messaging)
2. Shift commodity work (tagging, summarization) to cheaper models
3. Test multi-vendor setup before you need it
4. Watch model spend weekly
Takeaway: The AI cost floor just dropped. Startups that split tasks by value will outrun those paying premium rates for everything.
Brewed by Startup Beaker.
#AIStartups #Founders