🚀 Lumora On Tour: Regional IT Case Competitions

Lumora is coming to Namangan, Bukhara, Jizzakh, Fergana and Tashkent — and we're looking for the sharpest high school and university minds in tech to join the challenge!

👥 Teams: 4–5 students or solo
🔖 Application deadline: September 25th
🔍 Case Topics:
• Software technologies 1 / 2 (for beginners)

🏆 What is in it for you?
• Receive official certificates and honors.
• Top performers will get chances for internships or mentorship.
• Winners from each region will compete in the national stage of Lumora IT Case Competition.

🌏 Regional Rounds & Application Details:

📍Tashkent City
🗓 Date: 28th September
📄 Apply here

📍Namangan City
🗓 Date: 28th September
📄 Apply here

📍Fergana City
🗓 Date: 28th September
📄 Apply here

📍Bukhara City
🗓 Date: 27th September
📄 Apply here:

📍Jizzakh City
🗓 Date: 28th September
📄 Apply here

📱 Telegram | 📱 LinkedIn

Emergent raises $23M Series A from Lightspeed to democratize app building

Twin brothers Mukund and Madhav Jha built a vibe-coding platform that lets non-technical users create apps with simple prompts.

Key metrics:
• $23M Series A led by Lightspeed
• 1M+ users built 1.5M+ apps since launch
• Y Combinator, Together Fund participated
• $30M total raised

How they built it:
• Mukund left Google-backed Dunzo as CTO, teamed with brother Madhav (ex-Dropbox)
• Spent late 2023 with AI labs, identified coding data as critical
• Built full-stack infrastructure vs just code generation
• Created AI agents for error handling, testing, deployment
• Added universal API keys to eliminate setup friction

Unlike developer tools like Cursor, Emergent handles the entire app lifecycle for consumers.

Takeaway: Vibe-coding success requires solving day-two problems, not just code generation.

Source: TechCrunch
Brewed by Startup Beaker.

#startups #funding

Join our resource library📕

https://t.me/+4MYt0sh0PUBmMGRi

Juicebox just closed $30M Series A from Sequoia with only 12 employees.

What it is: AI-powered recruiting search that uses LLMs to find candidates through natural language queries instead of keyword matching.

• 2,500+ customers including Perplexity, Ramp, OpenAI
• $10M+ ARR achieved in under 2 years
• No sales team - pure product-led growth
• Founders were 22 and 19 when they started

How it happened:
• Built MVP during YC Summer 2022
• Spent 18 months refining product before launch
• Released PeopleGPT in late 2023
• Viral adoption through word-of-mouth
• Sequoia partner discovered via customer reference
• Grew to 2,000 customers with 4-person team

Takeaway: Sometimes the best sales team is a product that sells itself.

https://techcrunch.com/2025/09/25/juicebox-raises-30m-from-sequoia-to-revolutionize-hiring-with-llm-powered-search/

Brewed by Startup Beaker.

AI testing startup cuts QA time in half, raises $20M Series A

Synthesized automates software testing using AI to catch bugs in the "vibe coding" era where developers use AI to write code from descriptions.

• $20M Series A led by Redalpine Venture Partners
• Deutsche Bank, UBS among customers
• Cuts test data setup time by 50%
• Market expected to hit $10.6B by 2033

How it happened:
• PhD research at Cambridge → identified enterprise gap
• Built synthetic data platform → solved 2-4 month provisioning in 10 minutes
• Landed Deutsche Bank early → proved 50% time savings
• Expanded to traditional QA during pandemic
• Closed seed 2 weeks before lockdown → built remote deployment

Takeaway: AI coding boom creates massive testing opportunities for founders.

https://fortune.com/2025/09/24/synthesized-series-a-20-million-for-ai-powered-software-testing-qa-redalpine/

#startups #AI

Pingo AI cracked language learning that Duolingo missed.

While Duolingo gamifies vocabulary, Pingo built an AI tutor for actual conversation practice. Result: $250K monthly revenue, 70% monthly growth.

Founder playbook:
• Launched MVP January 2025
• Hit 50K users by March
• Reached $25K MRR in 3 months
• Got into YC Summer 2025
• Scaled to $250K MRR by September
• Maintained 70% monthly growth

Key insight: They identified the conversation gap in existing solutions and built AI that acts as native speaker.

Language learning is $60B market. Pingo proves there's room to disrupt "solved" problems.

https://techcrunch.com/2025/09/15/the-9-most-sought-after-startups-from-yc-demo-day/

Brewed by Startup Beaker.

Procurement AI startup Beroe raised $34M to fix a $105-to-$1 data gap.

Beroe builds AI procurement intelligence for enterprise buyers. Serves 1,000+ customers including 300 Fortune 500 companies.

• $34M led by Relativity Resilience Fund
• 80% Fortune 500 penetration
• Recent acquisitions: nnamu + Forestreet

How founder Vel Dhinagaravel built it:
• Discovered suppliers outspend procurement teams 105:1 on market data
• Started at NC State in 2006 with academic co-founders
• Built platform aggregating pricing benchmarks and supplier risk
• Expanded through strategic AI acquisitions
• Achieved enterprise dominance through data advantage

https://techfundingnews.com/beroe-raises-34m-to-accelerate-ai-powered-procurement-platform/

Takeaway: When buyers lack data advantage, there's a billion-dollar software opportunity.

#startups #procurement

Hey founders,

Lets boost the channel to lvl 3 so we can send recent playbook of Unicorn startup🤫

👇👇👇

https://t.me/boost/StartupBeaker

Vibe-coding startup hits $2M ARR in 2 weeks, lands $100M valuation

Anything launched a month ago but cracked production-ready AI app building where others failed.

• $11M Series A led by Footwork at $100M valuation
• $2M ARR in first 14 days
• Full infrastructure: databases, storage, payments included
• Users shipping real apps to App Store

Founder playbook:
• Identified gap: competitors excel at prototypes, fail at production
• Shut down profitable $2M ARR business in 2023 to pivot to AI
• Built entire backend in-house vs third-party dependencies
• Positioned as "Shopify of vibe-coding"
• Launched with complete stack from day one

Takeaway: In crowded markets, win by solving the next-level problem everyone ignores.

https://techcrunch.com/2025/09/29/vibe-coding-startup-anything-nabs-a-100m-valuation-after-hitting-2m-arr-in-its-first-two-weeks/

Brewed by Startup Beaker.

🚸ChatGPT will lead you from Idea to the Product: Startify by Influencers @ startup-course

Activate the prompted assistant and YOUR co-founder via the link
t.me/Study_Influencers/57

AI recruiter conducts thousands of interviews daily.

Alex raised $17M Series A led by Peak XV Partners. The YC startup automates initial job screening through voice AI, serving Fortune 100 companies, financial institutions, and restaurant chains.

Key metrics:
• Thousands of interviews conducted daily
• Fortune 100 clients including Big 4 accounting firms
• $3M seed → $17M Series A in 18 months
• Peak XV Partners led with YC participation

How it happened:
• Aaron Wang (ex-Facebook, quant background) identified recruiter bottleneck
• Built voice AI for autonomous video/phone screening
• Targeted enterprise clients with compliance needs
• Leveraged YC network for customer acquisition
• Proved daily volume at scale before Series A
• CHROs from Fortune 500 companies joined funding round

Takeaway: Automate the grunt work, not the relationship building.

Source: TechCrunch

Brewed by Startup Beaker.

Ex-OpenAI VP and DeepMind materials chief just raised the largest seed round of 2025.

Periodic Labs closed $300M seed to build AI scientists that automate materials discovery. Founded by Liam Fedus (ChatGPT co-creator, ex-OpenAI VP) and Ekin Dogus Cubuk (led DeepMind's GNoME project that discovered 2M+ new crystals).

• $300M seed led by a16z, DST, Nvidia, Accel
• Backers: Jeff Bezos, Eric Schmidt, Jeff Dean
• Pre-money valuation: $1B
• Goal: Room-temperature superconductors
• Team: 25+ researchers from Meta, OpenAI, Samsung

How it happened:
• Cubuk built GNoME at DeepMind → discovered 2M crystals
• Fedus co-created ChatGPT → left OpenAI as VP Research
• March 2025: Co-founded Periodic Labs
• Recruited 25+ top AI/materials researchers
• Pitched autonomous labs + fresh training data angle
• Closed $300M from tech elite in 6 months

Takeaway: Elite AI talent + hard science focus = mega rounds.

Source: TechCrunch

Brewed by Startup Beaker.

❌Most founders waste months building products based on fake validation from people who tell them “yeah that’s a cool idea” but never pay.

✅The Mom Test teaches you how to ask questions that cut through politeness and uncover what users actually need and will spend money on

More available on:
https://t.me/+4MYt0sh0PUBmMGRi

DualEntry raised $90M Series A from Lightspeed, Khosla Ventures, and GV.

The AI-native ERP processed $100B in transactions and serves companies from $5M to NYSE-listed.

Founder playbook:
• Scaled previous company to $100M ARR
• Failed ERP implementation = product insight
• Built AI-first vs retrofitting legacy systems
• 24-hour migration vs 18+ month industry standard
• 90% manual task automation
• 13,000+ integrations from day one

Key metrics: $100B processed, $100M+ funding in 18 months.

The wedge: Experience the pain, build the solution.

When founders who scaled $100M businesses build ERP software, they know exactly what other founders need.

https://www.dualentry.com/funding-announcement

Ex-OpenAI VP Liam Fedus and DeepMind materials lead Ekin Dogus Cubuk just raised a record-breaking $300M seed for Periodic Labs.

What they're building: Autonomous AI labs that physically synthesize materials and run experiments. Not simulations—real robots mixing compounds, heating materials, discovering superconductors.

Why it matters: AI models trained on internet text hit a wall in physical sciences. Periodic closes the loop between hypothesis and reality using nature as the RL environment.

How it happened:
• Realized frontier models fail at physics/chemistry
• Built team of physicists + top ML researchers
• Landed customers in space, defense, semiconductors
• Raised from a16z, NVIDIA, Bezos, Schmidt

The play: $15T industries untouched by text-only AI.

https://techcrunch.com/2025/09/30/former-openai-and-deepmind-researchers-raise-whopping-300m-seed-to-automate-science/

Brewed by Startup Beaker.

Female founder breaks records with $64M seed for AI mathematician

Carina Hong closed the largest seed round of 2025 — $64M at $300M valuation for Axiom Math, an AI that solves complex math problems and generates new mathematical knowledge.

Key differentiators:
• AI produces step-by-step proofs verified by Lean and Coq
• Transforms English math from textbooks into executable code
• Team includes Meta FAIR lab veterans

Founder playbook:
• Assembled world-class team before fundraising
• Built working proofs in specialized domains
• Demonstrated clear commercial applications (finance, chip design)
• Positioned as foundational AI infrastructure
• Attracted tier-1 VCs: B Capital, Greycroft, Madrona

Takeaway: Deep tech needs deep expertise first, funding second.

Source: Tech Funding News

#startups #funding

Brewed by Startup Beaker.

Solo GP Sheena Jindal just closed a $32M inaugural fund targeting MIT technical founders.

Sugar Free Capital focuses on AI-native infrastructure with a systems engineering mindset. Jindal, former Bessemer/Comcast Ventures investor, targets 15 companies with $1M-$5M checks.

• $32M fund from family offices (Nvidia, Citadel execs)
• 4 companies already backed (defense, gaming, workflow automation)
• Quarterly themes: physical AI, data center optimization, AI agents
• 4-5 deals per year target
• MIT alumni gap: few early-stage investors despite lucrative exits

How it happened:
• Identified "too sugary" 2021 valuations at CV
• Built thesis around "age of intelligence" + technical founders
• Leveraged MIT network gap vs Harvard/Stanford
• Secured LPs who valued MIT access + clear thesis
• Launched with concentrated portfolio strategy

Takeaway: Niche focus + network gaps = fund differentiation.

Source: TechCrunch

Brewed by Startup Beaker.

Driver cuts semiconductor documentation from weeks to hours with AI.

What it is: AI platform that transforms thousands-page chip manuals into user-specific documentation. Targets both chipset suppliers and engineers who implement them.

Key metrics:
• $8M seed led by GV
• Promises 50% faster codebase understanding
• Saves weeks of employee documentation time
• Language-agnostic platform

How it happened:
• CEO Adam Tilton (ex-Nike, sold previous startups) faced documentation pain repeatedly
• Used ChatGPT to extract APIs from PDFs manually
• Co-founder suggested building platform at scale
• Targeted both suppliers and implementers
• Secured GV backing with proven founder track record

Why it matters: Technical documentation is a massive time sink. Driver shows how AI can tackle unsexy but critical B2B workflows.

Source: TechCrunch

Brewed by Startup Beaker.

Zego alumni raised £2.6M pre-seed for AI that picks your tech stack.

Dragonfly launched conversational AI that recommends software from 250,000+ tools in seconds. Founded by Sean King and Sven Sabas in December 2024.

Key details:
• £2.6M led by Episode 1
• Angels: QuantumBlack founder, Bolt CEO
• 12-person team from successful exits
• Enterprise rollout planned late 2025

How they built it:
• Identified pain: too many software options
• Built world's largest software catalog
• Developed conversational AI interface
• Secured experienced team and early customers

Handles simple queries ("project management for 5 people") to complex enterprise architecture.

Takeaway: Domain expertise + massive data + AI = fundable business.

Source: https://startupsmagazine.co.uk/article-dragonfly-raises-ps26m-it-launches-ai-tool-simplify-software-selection

Ex-Google DeepMind founders raised $2B at $8B valuation in 12 months.

Reflection AI secured one of the largest open-source AI funding rounds ever. Brooklyn-based startup building superintelligent models to rival Meta's Llama.

• $2B Series B led by NVIDIA, B Capital, Citi
• Eric Schmidt's family office participated
• Total funding: $2.13B in just over 1 year

How they did it:
• Left with proven AI research credentials
• Positioned as open-source alternative to closed labs
• Built credible team from top AI institutions
• Attracted strategic investors needing open ecosystem
• Perfect timing: market wants AI democratization

Takeaway: Technical credibility + strategic positioning + timing = massive early funding.

https://techstartups.com/2025/10/09/top-startup-and-tech-funding-news-october-9-2025/

#startups #AI

Parallel raised $2.4M to solve startup finance chaos with AI + fractional CFOs.

Early-stage founders hate finance. Spreadsheets break, assumptions go untested, fundraising decks leave investors unconvinced.

• $2.4M seed led by Night Capital & K5 Tokyo Black
• AI agents handle forecasting and variance analysis
• Fractional CFO network provides strategic oversight
• Live integrations with QuickBooks, Xero, Puzzle

How it happened:
• Founded 2023 by ex-finance operators
• Built AI-native platform vs spreadsheet approach
• Paired automation with human CFO judgment
• Customer finished due diligence without follow-up questions

Takeaway: Finance doesn't have to be a founder nightmare when AI handles grunt work.

Source: TechBuzz News