Startup Beaker

Supabase: The Database AI Agents Choose

Supabase closed $500M Series F at $10.5B—but the real story: AI agents now deploy the majority of new databases on the platform.

The traction:
• 600% YoY database growth
• 9M developers (up from 4M in Oct 2025)
• 370% customer growth in Supabase for Platforms (6 months)

How it happened:
• 2014-2020: Founder Paul Copplestone spent 6 years building conviction
• 2020: Launched open-source Postgres wrapper—went viral
• 2026: Claude Code + AI agents discovered Postgres > NoSQL for reasoning

Lesson: Build for the infrastructure AI agents will need, not what humans ask for today.

Source: https://www.prnewswire.com/news-releases/supabase-raises-500m-at-10-5b-to-accelerate-lead-in-agentic-infrastructure-302791787.html

Brewed by Startup Beaker.

#Startups #AIInfrastructure

Gemini 3.5 Flash: Speed Wins Without Sacrifice

Google shipped a model that breaks the rule: faster doesn't mean dumber.

• 4x faster than Gemini 3.1 Pro
• Beats Pro on coding benchmarks
• $1.50/$9.00 per million tokens (80% cheaper)
• 1M context, live now

If you're building AI features, this cuts inference cost while keeping quality. Test it against your current model this week.

Source: Google AI Blog, May 2026

#AI #Founders

Brewed by Startup Beaker.

Anthropic's self-improving agents just changed how founders should think about automation.

The move: Anthropic built agents that review their own work between sessions, detect patterns, and improve future task performance without retraining. This is not a chatbot. It is a worker that gets better at recurring jobs.

Why it matters:
• Agents can now handle research, drafting, support triage, and sales prep with built-in feedback loops
• Your team does not need to retrain or swap models—the agent learns from structured reflection
• Cost per completed task drops as the agent improves, not just as you scale volume
• First use case: sales qualification and follow-up drafting (measurable, repeatable, revenue-linked)

How it happened:
Anthropic invested in agent architecture that separates task execution from evaluation. The agent completes work, reviews its own output against rubrics, and adjusts future behavior. This is closer to how good founders learn—through feedback loops and repeated decisions under constraint.

The founder move:
Do not wait for perfect agents. Start with one narrow, repeatable process (support routing, research summaries, proposal drafting). Add a human review layer. Track cost per task. Let the agent improve from there. That is how you turn AI from a toy into operating infrastructure.

Source: Anthropic agent updates, May 2026.

#AI #Founders #Automation

🗂 Opportunity Folder — your guide to the coolest opportunities! Telegram channels that can help you find your chance for success are gathered in one folder: t.me/addlist/n0HyjcDDgkU5MmMy

📰 News, 🚀 internships, 🌍 exchanges, 🎓 grants, 💼 projects, 🤝 volunteering, 🧠 courses, 💡 hackathons, and much more — everything you need for growth and development.

Title - Description - Tag:
🦄 "Opportunities by startup-course.com" - Startup events, meetups, workshops, cash competitions, and everything happening in the startup ecosystem @startup_course_com

🌐 Opportunities with Zula. A channel about opportunities for personal and career growth, focusing on grants, programs, and events that are free to join or even fully funded @opportunities_zula

⚡️ "Jasa" – The best opportunities for young people all in one place: internships, jobs, research programs, competitions, volunteering, events, startups, and much more for your growth @jasastartup

👾 "Influencers.kz" — Microlearning, future skills, and personal productivity for the youth of Kazakhstan in two languages @Study_Influencers

👩🏼‍💻 "IT Uppertunity". Announcements of everything happening in the IT scene in Kazakhstan. Event roadmaps and an IT events calendar for tech enthusiasts, CTOs, and aspiring IT professionals @uppertunity

➕ My Extra. Case championships, hackathons, startup battles, team and individual activities for high school students @myextrakz

📢🇰🇿 "Aqparat @QazStartup". Events, workshops, competitions, and the startup movement. From idea to technology business @QazStartup

🍩 Digital Donut. Everything interesting and important from the worlds of technology and finance: market news, trend analysis, forecasts, and interviews with industry leaders @digitaldonutkz

🧲 OFY - Opportunity for You! Internships, job openings, events, and courses — everything you need to launch your career @oppo4you

🇺🇸 Startup.vg / Opportunities GLOBAL. Global events for startup founders. International acceleration programs, forums, bootcamps, workshops, incubators, and more @startupVGlobal

🫰 Turlov Will Buy It! Startups, deals, and VC/PE opportunities in Central Asia @timchenkofriend

🇰🇿 Profit.kz - Everything about IT in Kazakhstan. Your guide to IT: news, reviews, interviews, event calendar, company directory, and more @profitkazakhstan

🇸🇬 Admet Akhter - IT business, products, and digital transformation. A blog about personal development, experience, and IT case studies from the Co-Founder & CEO of Introdex, Forbes 30 Under 30 @admet_akhter

Subscribe to each channel individually so you don't miss useful announcements hidden away in archived chats. Then you can add the unified folder "🇰🇿GoAhead❗️" via the link: https://t.me/addlist/n0HyjcDDgkU5MmMy

📌 Follow updates in every channel — and maybe that's where your next big story will begin 💫
https://t.me/addlist/n0HyjcDDgkU5MmMy

GitHub Copilot App: Agent-native dev control center.

GitHub shipped a desktop app (technical preview) that treats agents as first-class citizens. Instead of context scattering across windows, you get one "My Work" view: active sessions, issues, PRs, background automations—all in parallel.

Key moves:
• Isolated git worktrees per agent session (no branch juggling)
• Canvas surfaces: bidirectional work areas where agents update plans/PRs and you redirect in real-time
• Agent Merge: auto-handles CI, reviews, merge conditions
• Cloud + local sandboxes: agents run code, test changes, iterate safely
• 1.4B commits/month on GitHub; 2B Actions minutes/week—the platform had to evolve

Why it matters: Agentic workflows are becoming the default. Tools built for humans-only workflows create bottlenecks. GitHub's bet: agents need a real place in the dev loop, not just a chat sidebar.

Available now for Copilot Pro/Pro+/Business/Enterprise.

https://github.blog/news-insights/product-news/github-copilot-app-the-agent-native-desktop-experience/

#AI #DevTools

Cognition's AI coding agent Devin just raised $1B at $26B valuation.

The kicker: Devin writes 89% of Cognition's own code.

Metrics:
• $492M ARR (from $1M in 9 months)
• 50% MoM enterprise growth for 6 months
• Customers: Goldman Sachs, Citi, Dell, Palantir

Path to $1B:
• Launched Devin as junior engineer (March 2025)
• Hit $73M ARR through product-market fit
• Acquired Windsurf for full product stack
• Enterprise ARR +30% in 7 weeks post-acquisition

Lesson: Build a product so good it builds itself.

https://techcrunch.com/2026/05/27/ai-coding-startup-cognition-raises-1b-at-25b-pre-money-valuation/

#AI #Startups

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Fursatni boy bermang, botdan hoziroq foydalanib ko‘ring va jamoangizni shakllantirishni boshlang!

👉 @startupperuzbot

🔗 Bizni kuzatib boring: Telegram | Instagram| YouTube

YC's Summer 2026 RFS: AI as Foundation, Not Feature

Most founders bolt AI onto existing products. YC wants founders who rebuilt their category from scratch with AI as the assumption.

Feature: AI improves a step. Workflow stays the same.
Foundation: AI replaces the workflow. Product collapses without it.

Example: Notion AI = feature. A knowledge system that reads, connects, and synthesizes across all sources = foundation.

The test: Does removing AI break your product? If yes, it's a foundation. If no, it's a feature.

Investors are clustering capital around founders who've done this reframing. Vague AI positioning kills fundraising faster than weak traction.

Before you pitch: Does my product need AI to exist, or does AI just make it better? The answer determines your investor fit.

Source: YC Summer 2026 RFS, Medium (Tejas Sharma)
#Startups #AI #Founders

Solo founder hit $1M ARR using Claude Code as the primary build tool—not as a helper, but as the engineering team.

The playbook:
• Problem selection: stress-test ideas with Claude before any code
• Simulation: role-play the product, user, and sales call before building
• Build: Claude Code handles feature development with tight task scoping
• Pricing: model scenarios based on customer value, not your costs
• GTM: AI handles personalized outreach; you handle positioning

The real win? Compressed feedback loops. Validation that normally takes months happens in weeks.

Not every founder needs to be technical. But every founder needs to move fast.

#AI #SaaS

Brewed by Startup Beaker.

YC's Summer 2026 RFS just dropped. The opening line says it all: "AI has stopped being a feature and started being the foundation."

Translation: Build the work, not the tool.

15 categories. Three clear patterns:
• AI is infrastructure, not a product
• Physical world gets priority (agriculture, hardware, space, defense)
• Replace, don't assist — sell the service, do the work

The biggest gap? AI-native service companies. Insurance, accounting, tax, compliance. Instead of selling software to help brokers, become the broker. Unit economics flip when you own the outcome.

Apply: ycombinator.com/apply

#startups #founders

Brewed by Startup Beaker.

Cursor replaces VS Code as the default IDE for AI-native teams.

What: AI-native fork of VS Code with built-in chat, agent edits, and full codebase context in one window. No copy-paste loops between editor and chat tabs.

Why it matters:
• Engineers ship 30-40% faster (multi-file edits, refactors, code review in terminal)
• Solo founders now handle work that used to require contractors
• $20/seat/mo vs hiring junior dev at $60K+/year
• Cursor adoption jumped 60% YoY among seed-stage teams (Waveup audit of 600+ startups)

How it happened:
1. Anysphere (Cursor team) forked VS Code in 2023, added Claude API integration
2. Shipped ⌘K (in-place rewrites) + ⌘L (repo-aware chat) — solved context-switching tax
3. Agent mode (multi-file planning) shipped Q4 2025, became default for refactors
4. GitHub Copilot added agent mode in 2026, but Cursor's UX stayed tighter

Takeaway: If your team codes without Cursor in 2026, you're shipping slower than peers on the same budget.

Brewed by Startup Beaker.

Claude Opus 4.7 shipped: 13% better at complex coding, catches its own bugs before execution.

Key: 1M token context (no extra cost). Feed entire codebases in one prompt.

Why founders care: Devin, Replit, Cursor all report it handles multi-step work without hand-holding. Same price as Opus 4.6.

Test it on your hardest coding task. If it works, your hiring plan changes.

https://www.anthropic.com/news/claude-opus-4-7

People building startups in this channel

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Answer without quitting telegram.

You tell us what you actually need — we'll create content around it.

Vapi hits $500M valuation after Amazon Ring chose it over 40 rivals.

Vapi is an enterprise voice AI platform that lets companies build, deploy, and manage AI agents for customer support, sales, and scheduling.

• 1 billion calls processed (up from zero in 2023)
• 1-5M calls/day, enterprise-heavy volume
• Amazon Ring routes 100% of inbound calls through Vapi
• $50M Series B at $500M valuation (Peak XV led)

How it happened:
1. Founders built AI therapist chatbot (2023) — realized infrastructure was the real product
2. Pivoted to voice API, launched publicly (2024) — gained 1M+ developers on self-serve
3. Proved scale with developer traction before enterprise sales
4. Won Amazon Ring in Q4 2025 by offering granular control over agent behavior
5. Closed $50M Series B (May 2026) with enterprise momentum

Why it matters: Founders often chase the wrong problem. Vapi's founders listened to what users actually wanted (the infrastructure, not the app) and pivoted fast. That's how you build category-defining companies.

https://techcrunch.com/2026/05/12/vapi-hits-500m-valuation-as-amazon-ring-chose-its-ai-platform-over-40-rivals/

#VoiceAI #Startups

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

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.

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

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.

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.

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.