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Startup Beaker
@startupbeaker
Business and startupshttps://startupbeaker.uz/ Bridging the gap between having a startup idea and building a successful business by providing young entrepreneurs with the mentorship, tools, and community https://t.me/boost/StartupBeaker Collaboration: @startupbeaker_admin
Recent posts
Page 10 of 24 · 281 posts
Posted Dec 1
Academic side project to $600M startup in 2 years. LMArena raised $100M seed at $600M valuation, led by a16z and UC Investments. What it is: Platform behind Chatbot Arena where users vote on AI model responses in blind comparisons. Key metrics: • $100M seed (largest in AI evaluation) • 3.5M+ human preference votes • 400+ models evaluated • 1M+ monthly visitors How it happened: • Started as UC Berkeley PhD side project in 2023 • Built simple blind comparison tool under LMSYS • Major AI labs began using for pre-release testing • Became go-to AI model leaderboard • Spun out as company in April 2025 Takeaway: Solve real infrastructure problems, market comes to you. https://techcrunch.com/2025/05/21/lm-arena-the-organization-behind-popular-ai-leaderboards-lands-100m/
Posted Nov 30
Ex-Google/Stripe leaders raised $56M seed for AI agent OS /dev/agents is building the "Android for AI agents" — a cloud OS for trusted AI agents across any device. • $56M seed led by Index Ventures, co-led by CapitalG • Angels: Scale AI CEO, OpenAI co-founder Andrej Karpathy • Zero revenue, 4 ex-Big Tech co-founders How it happened: • David Singleton (ex-Stripe CTO) identified agent fragmentation in 2022 • Recruited Hugo Barra (ex-Meta VR VP) as co-founder • Added Android founding team members Ficus Kirkpatrick, Nicholas Jitkoff • Leveraged OS experience to pitch platform solution • Closed oversubscribed round through Index partner's 9-year relationship https://siliconangle.com/2024/11/26/new-startup-named-dev-agents-led-ex-google-meta-tech-leaders-raises-56m-ai-agents/ Takeaway: Proven OS teams can command massive seeds for platform-level problems. #startups#funding
Posted Nov 29
Liquid AI just raised $250M Series A at $2.35B valuation from AMD Ventures. What it is: MIT spinoff building "liquid" neural networks inspired by C. elegans worm brains (302 neurons). Their models use 90% fewer parameters than traditional AI while matching performance. How it happened: • 2021: Ramin Hasani published breakthrough liquid neural network research at MIT CSAIL • 2023: Spun out with co-founders Daniela Rus, Mathias Lechner, Alexander Amini • 2024: Released text models, announced multimodal capabilities • Dec 2024: Closed $250M led by AMD for enterprise deployment Key metric: 100 billion connections in their largest model vs traditional networks requiring 10x more compute. Takeaway: Academic breakthroughs can become billion-dollar companies when founders focus on real-world efficiency gains over pure performance. Brewed by Startup Beaker.
Posted Nov 28
Cybersecurity Alert for Uzbekistan’s Tech, Startup, and Business Community A new thehackernews.com investigation reveals a targeted cyberattack campaign using fake government PDFs to install remote-access malware on devices inside Uzbekistan. This attack specifically targets our region — and the details are alarming. 👉Read the full article
Posted Nov 28
49 US AI startups raised $100M+ in 2025 — matching 2024's record. Key patterns for founders: • Infrastructure plays dominate: 60% of mega-rounds went to AI infra vs applications • Speed matters: Anysphere (Cursor) went from $900M to $2.3B in 5 months • Multiple rounds common: 12 companies raised 2+ mega-rounds this year • Vertical AI wins: Healthcare (8 companies), legal (4), and coding (6) led sectors • Enterprise focus: B2B AI averaged 3x higher valuations than consumer • Timing advantage: Companies that raised early (Q1-Q2) secured better terms The playbook: Pick a vertical, build for enterprise, move fast on funding. Brewed by Startup Beaker.
Posted Nov 27
AI security startup Runlayer raised $11M seed from Khosla's Keith Rabois + Felicis in just 4 months, signing 8 unicorns including Gusto and Instacart. Runlayer secures AI agents using Model Context Protocol (MCP) — the new standard letting AI access business data without human oversight. Founder playbook: • Andrew Berman sold Vowel to Zapier in 2024 • Became Zapier's AI director, built early MCP servers • Spotted security gaps as MCP adoption exploded • Recruited MCP creator David Soria Parra as advisor • Left with 2 co-founders, launched in stealth • Signed 8 unicorns in 4 months The gap: MCP has no built-in security. GitHub and Asana already had major breaches. Takeaway: As AI agents get enterprise access, security becomes make-or-break. #startups#aisecurity Brewed by Startup Beaker.
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Posted Nov 25
AI testing startup just solved the QA bottleneck killing dev velocity. Momentic raised $15M Series A (Standard Capital led) to automate software testing with natural language commands. • $15M Series A, $19.2M total raised • 200M+ test steps executed last month • 390K+ bugs prevented from production • Customers: Notion, Xero, Runway AI, Quora How it happened: • Started with $3.7M seed 8 months ago (YC) • Built AI that generates tests from plain English • Solved fragile UI test problem with auto-healing • Expanded from web-only to mobile + desktop • Added integrations with AI coding tools Why it matters: 67% of devs spend more time debugging AI-generated code. Teams only cover 60-70% of scenarios manually. Source: SiliconANGLE Brewed by Startup Beaker.
Posted Nov 24
By understanding this law, you can avoid bankruptcy, divorce, or almost any kind of failure, because this method is applicable to every aspect of life - not just business. Unfortunately, the human brain is wired to ignore worst-case scenarios to maintain psychological safety. The pre-mortem method works in the opposite way of a post-mortem medical examination, which identifies the causes of death after the fact. In a pre-mortem, you analyze the “death” before it happens. This helps you identify upcoming threats and weaknesses early. This decision-making technique, developed by scientist Gary Klein, encourages teams to imagine that a project has already failed and then analyze why. It has been proven to save millions of dollars, time, and energy. It is usually done in teams so, # It is strongly recommended to do this with your team — the people whose actions directly influence the success of your startup. Here are the steps: 1. Imagine you failed. 2. Fast-forward to the failure and list all the reasons why your current idea or relationship might fail. 3. Share your findings with your team and begin a discussion. 4. Develop a contingency plan — work together to remove or minimize the risks behind each potential cause of failure. Being overly optimistic carries the same risk of failure as being overly pessimistic. It is always easier to prevent a disease than to cure it.
Posted Nov 23
Welcome to Startup Beaker - great to have you with us! Why We Exist We bridge the gap between having a startup idea and building a successful business by giving young founders mentorship, tools, and a supportive community. What You’ll Get Daily We post updates on breakthrough startup investments and share patterns that help founders raise successfully. Introduce yourself You’ll find a growing resource library, plus a community you can learn from and network with.
Posted Nov 23
Startapga oid kanallarni izlab charchadingizmi? Endi kerak emas — biz butun MDH (CНГ) bo‘yicha eng yaxshi startap va biznes kanallarni bir joyga jamladik. Ekotizim yangiliklari, imkoniyatlar, fikrlar — hech narsani o‘tkazib yubormaysiz. Tadbirkor bo‘lasizmi yoki shunchaki qiziqasizmi, farqi yo‘q — hammasi shu yerda. 👇Bitta bosishda qo‘shib oling ———— Tired of searching for startup-related channels? Not anymore — we’ve gathered the best startup and business channels across the entire CIS in one place. Ecosystem news, opportunities, insights — you won’t miss a thing now. Whether you’re a founder or just someone curious about startups, it’s all right here. 👇Add everything with one click
Posted Nov 23
Profluent just raised $106M led by Jeff Bezos to make biology programmable. Founder Ali Madani started at Salesforce's moonshot ProGen project in 2020, left in 2022, and partnered with UW researcher Alexander Meeske. • $106M Series B (Bezos Expeditions, Altimeter) • Approaching $1B valuation • 115B protein database (largest globally) • Partners: Revvity ($11B), Corteva, Ensoma • AI models design custom proteins from human language How it happened: • Identified AI-biology convergence pre-ChatGPT boom • Published Nature Biotechnology paper establishing credibility • Left corporate to focus full-time with academic co-founder • Built massive proprietary dataset (115B proteins) • Proved scaling laws work for protein design • Secured commercial partnerships before major funding https://www.forbes.com/sites/amyfeldman/2025/11/19/jeff-bezos-is-backing-an-ai-startup-aiming-to-make-proteins-programmable/ Takeaway: Academic research + commercial partnerships + proprietary data = billion-dollar biotech validation. Source: Forbes Brewed by Startup Beaker.
Posted Nov 22
PlayAI just closed $21M seed led by Kindred Ventures and 500 Global. Voice AI startup serving 40,000 customers with human-quality speech models and voice agents. Key details: • $21M seed round (November 2024) • Led by Kindred Ventures, 500 Global • Backers: Race Capital, YC, Soma Capital, Pioneer Fund • 40,000 customers served • New PlayDialog model uses conversation context for natural speech How founders built it: • 2016: Built Chrome extension for Medium text-to-speech, featured on Product Hunt • 2017: Saw bigger opportunity, pivoted to voice API business • Built custom LLMs trained on diverse speech styles • Developed voice cloning across multiple languages • Launched voice agent platform for automation • Achieved 40x user growth, 70% retention over 12 months Voice AI market expected to grow 4x over next decade. Source: Business Wire, TechCrunch Brewed by Startup Beaker. #startups#voiceai