Venture Capital

📊 LTV: The Key to Understanding Customer Revenue LTV (Lifetime Value) is the total revenue a customer generates over the entire relationship with your company. It helps you measure not just how fast you're growing, but how well you're retaining and monetizing users.

Formula: LTV = ARPU × LT

ARPU — Average Revenue Per User LT — Customer lifetime (months or years they stay with the product) Why LTV matters: 🖱 Reveals product quality and real user loyalty 🖱 Helps evaluate marketing ROI — if LTV > CAC, your model works 🖱 Critical metric in B2C and SaaS — investors look closely at LTV/CAC 🖱 Prevents over-focusing on growth while ignoring retention In short, LTV shows how well your business turns users into long-term value. ✔️Powered by Trade Watcher

📈 Unicorn funding hits new highs — again Unicorns are back in force. According to Grid Capital's GP Jackie DiMonte, billion-dollar startups just surpassed 2021 levels in total capital raised over the past three quarters. 🖱 Fewer deals overall — but more capital going to the top 🖱 Average unicorn round has nearly doubled: from $260M in 2021 to $490M today 🖱 The share of unicorn deals remains stable at ~3% of all VC rounds 🖱 Over the last 6 months: ~190 unicorns raised $500M+, vs. only a dozen funds writing checks that large

Despite the broader slowdown, the top of the market is heating up.

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💰 Price vs. Value in Venture Investing: Buffett's Lesson In venture, it’s easy to confuse a "cheap" deal with a good one. But a low valuation means little without real upside. Likewise, a high valuation can be justified if the startup is already pulling the market toward it. Here’s the key distinction: 📉 Price — what you pay today for a piece of the company 📈 Value — the future return if the company executes well Key takeaways: 🖱 Don’t focus on price alone — look at growth potential and team strength 🖱 Ask: what exactly are you paying for — tech, market, execution? 🖱 Valuation should reflect scaling potential, not just today’s numbers 🖱 Dig into metrics like CAC, LTV, and revenue momentum to find real value

Before investing, always ask: Is the value behind the price worth the bet?

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🛸 How China is Struggling to Compete with Starlink China wants to counter Starlink’s dominance, but so far it's lagging far behind. Despite bold targets, its national satellite programs remain far from operational scale. 🖱 Qianfan planned 650 satellites in 2024 — only 90 launched 🖱 Guowang aims for 13,000 over a decade — just 34 in orbit 🖱 Starlink already operates nearly 8,000 satellites The core issue is launch tech. SpaceX uses reusable rockets, which makes launches cheaper and faster. China still relies on single-use rockets, driving up cost and time. China is testing reusable launch systems, but they aren’t in mass use yet. Meanwhile, countries seeking alternatives to Starlink remain underserved. The gap keeps growing. ✔️Powered by Trade Watcher

⚖️ChatGPT chats can be used in court Sam Altman confirmed that, unlike therapists or lawyers, conversations with ChatGPT are not protected by confidentiality laws. Even if you delete a chat, OpenAI may retain it for 30 days and could be required to hand it over in response to a legal request or for “safety reasons.” Altman acknowledged this legal gray area, saying, “We haven’t figured this out yet.”

In short: chats with AI aren’t private. Use with caution.

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📊 Alphabet Q2 revenue grows across search, YouTube, and cloud Alphabet posted strong growth across its main business lines in Q2, with gains in search ads, YouTube, and especially Google Cloud. 🖱 Total revenue rose 14% year-over-year 🖱 Net income grew 20% 🖱 Search ad revenue increased 12% 🖱 YouTube revenue grew 13% 🖱 Google Cloud jumped 32%, helped by a $1.2B ServiceNow deal and OpenAI partnership

Momentum in cloud and ads signals continued strength in Alphabet’s core engine — with enterprise AI now driving a bigger share of growth.

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📣Sam Altman’s future of AI: 8 bold predictions In a 90-minute podcast with Theo Von, OpenAI CEO Sam Altman shared radical predictions about how AI will reshape society — from the death of college to automated CEOs and synthetic births. 🖱 Traditional colleges will be obsolete for today’s newborns 🖱 GPT-5 already outperforms Altman in narrow tasks — and could run OpenAI “in the near future” 🖱 AI will overtake humans in reasoning, coding, planning, and negotiation — shifting most office work to agents 🖱 A persistent intelligence gap between humans and machines is coming 🖱 Public ownership of AI productivity is better than universal basic income 🖱 GPT-5 instantly solved a complex task that left Altman feeling useless 🖱 Nuclear fusion will be required to power future AI systems 🖱 Artificial wombs could replace natural childbirth within 40 years

From workplace disruption to biotech frontiers, Altman paints a future that’s both inevitable and deeply destabilizing.

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🔼 How Deel became a $12B giant without any HR background In 2018, Alex Bouaziz and Shuo Wang launched Deel with zero HR experience, no US network, and a global-first mindset. Seven years later, it's one of the biggest players in global employment infrastructure. 🖱 $800M revenue run rate in 2024 🖱 $12.6B valuation as of 2025 🖱 35,000+ companies use Deel globally The growth playbook? Solve a real pain early (remote hiring), go global from day one, and scale fast into new markets.

Worth studying if you're into breakout B2B infrastructure plays.

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🪄 The only prompt you’ll ever need

hey Claude, i want a mansion and yacht, come up with great business idea, implement it, launch it and make sales for me.

Save this one. Might be all it takes. ✔️Powered by Trade Watcher

💰 5 startup deals you may have missed this month A vaccine for all flu strains, deepfake detection, underground mapping, and more. Here are five overlooked but notable July raises 👇 ✅ Exodigo — $96M Series B AI-based platform to detect underground infrastructure for safer construction. Clients include Amtrak and Metro LA. ✅ Centivax — $45M Series A Developing a universal mRNA flu vaccine. Backers include Future Ventures, NFX, Bold Capital. ✅ IdentifAI — €5M ($5.9M) Seed Detects AI-generated deepfakes across video, voice, and images. Led by United Ventures. ✅ Retirable — $10M Series A Wealth platform for everyday retirees with $175M AUM. IA Capital and Nationwide Ventures backed the round. ✅ OpenLaw — $3.5M Seed AI legal matchmaker connecting clients to affordable solo attorneys. Co-led by Flint Capital and Slauson & Co.

These deals show investors still back deeptech, even outside the spotlight. Geophysics, mRNA, and legal infra aren’t hype-driven — but they’re getting funded.

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🔓 Tea app hacked, 72,000 user images leaked Dating safety app Tea has suffered a major breach just days after going viral on the App Store. The hack exposed thousands of sensitive user photos, including selfies and ID scans. 🖱 72,000 images leaked, including 13,000 verification photos and 59,000 images from posts and messages 🖱 Hack was discovered after 4chan users began sharing the stolen data 🖱 Only users registered before February 2024 were affected 🖱 Tea claims no emails or phone numbers were compromised 🖱 The app had just hit #1 on Apple’s App Store before the breach 🖱 Third-party experts have been hired and the vulnerability patched The breach hits at the worst possible time — right as Tea was breaking into the mainstream.

A brutal reminder: viral growth means nothing if your security doesn’t scale with it.

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📊 Crypto Venture Weekly: July 21–25, 2025 $128M raised across 22 projects this week, with capital clustering around AI infra, agent orchestration, and tokenized collectibles. Here’s what the top 8 are building 👇 🖱 Courtyard ($30M, Forerunner, YC, ParaFi) Trading infra for physical collectibles. Focused on tokenizing real-world assets with liquidity and compliance built in. 🖱 Gaia ($20M, Mirana, SIG, Mantle) Decentralized infra for generative AI networks. Backed by leading crypto + AI funds across Asia. 🖱 Poseidon ($15M, a16z crypto) Data platform on Story Protocol for IP-cleared datasets, focused on AI training for robotics and autonomous systems. 🖱 Freename ($6.5M, Entrée, Polymorphic) Web3 domain registrar for buying, registering, and creating blockchain-based domain names. 🖱 Questflow ($6.5M, cyber.Fund, Animoca, HashKey) AI agent orchestration layer to connect decentralized workflows and decision-making. 🖱 Delabs Games ($5.2M, Spartan, HASHEd, TON Ventures) Web3 gaming studio powered by AI. Known for Boxing Star X and Ragnarok Libre. 🖱 Quack AI ($3.6M, Animoca, Kenetic, Merlin Chain) AI-driven Web3 governance protocol blending voting, risk signals, and execution logic. 🖱 Omo ($1.1M, Cogitent, Presto Labs) Early-stage multi-agent coordination layer targeting distributed AI apps.

Investor interest is tilting toward crypto x AI infrastructure, governance logic, and real-world asset rails — all getting more programmable.

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📊 You can see Product Market Fit — here’s how On the image: two lines. Green = a product with PMF. Blue = a product without it. Both show user retention over time. What is retention rate — and how do you build this graph for your own product? Step 1: Identify the key action that reflects user value (and is easy to track). Step 2: Define how often a happy user should repeat it — your “ideal frequency”. 🖱 For Airbnb, it’s a booking (or paid night), ideally once a year 🖱 For Gusto, it’s running payroll — monthly or weekly 🖱 For Facebook, it’s opening the app — daily or monthly Once you have that, run a cohort analysis. On the X-axis — time periods based on your ideal frequency. On the Y-axis — % of users who keep doing the action over time. Most curves drop at the start. That’s normal. The difference is: bad products keep declining. Good products hit a plateau — users keep coming back. If your curve flattens, you’ve likely hit PMF. If not — keep building. ✔️Powered by Trade Watcher

⚙️ Top 10 tools every VC should know in 2025 We updated our toolkit for venture investors who want to move faster, go deeper, and find deals others miss. These platforms help you source smarter, track better, and access off-market opportunities.

🖱 SourceCo – AI platform for discovering off-market deals 🖱 Inven – fast M&A/VC target generation by sector and region 🖱 DealSuite – global deal matching across PE, M&A, corp dev 🖱 Grata – private company search with AI-powered market maps 🖱 Wayflyer / Pipe / Capchase – RBF platforms for alt financing without equity 🖱 Juicebox / Republic / Wefunder – Web3 and crowd investing platforms 🖱 Affinity – CRM for relationship intelligence and deal tracking 🖱 Carta – cap table, options, and secondaries management 🖱 Notion / Airtable – flexible workflows for deal tracking and collaboration 🖱 Zapflow – VC-specific pipeline and analytics platform

The modern VC stack lets you see trends early, surface hidden targets, and streamline the messy middle of venture. Use it. ✔️Powered by Trade Watcher

🤖 Seventy AI agents from YC’s Spring batch Y Combinator is all-in on agents this year, over 70 startups in the Spring batch are building AI agents across four core categories: 🖱 Software dev agents to reduce risk and replace vibe-coding 🖱 Browser agents that complete tasks online for you 🖱 Internal workflow agents for ops and back office 🖱 Vertical agents for regulated industries like law and healthcare The agent wave is real — and YC’s shaping where it hits first. ✔️Powered by Trade Watcher

🤟 Ozzy Osbourne, Prince of Darkness Inc. — a 50-Year Venture Through Rock History On July 22, Ozzy Osbourne passed away at the age of 76. Just two weeks earlier, he held his farewell show Back to the Beginning in Birmingham with the original Black Sabbath lineup — drawing 40,000 fans in person and 5.8 million online viewers. The event raised a record-breaking $190 million for charity. But Ozzy wasn’t just a rock legend — he was a case study in brand reinvention, market adaptation, and long-term compounding in the music industry. 📈 Ozzy as a Venture Project 👇

Startup Phase (1968–1979) 🖱 Co-founded Black Sabbath, pioneering heavy metal — a “blue ocean” strategy 🖱 First 5 albums each sold over 4M copies globally 🖱 Paranoid (1970) hit 9.9M units worldwide 🖱 Fired from his own band in 1979 due to poor management — classic “founder ejection” The Turnaround (1979–1995) 🖱 New operator: Sharon Osbourne relaunched “Ozzy” as a solo brand 🖱 Blizzard of Ozz (1980): 5M+ copies in the US 🖱 No More Tears (1991): 4× platinum 🖱 Scandals became brand assets — not liabilities Market Disruption (1996–2007) 🖱 Rejected by Lollapalooza, he launched Ozzfest 🖱Built a two-sided market: fans bought tickets, bands paid up to $75K for slots 🖱$100M+ grossed, 5M+ tickets sold 🖱First metal artist to reach $50M in merch sales Brand Saturation & Licensing (2002–Present) 🖱 The Osbournes reality show brought in $800K (season 1), then $5M per family member per season 🖱 “Prince of Darkness” became a diversified brand: cosmetics, merch, digital IP 🖱 Final act: $30 online pay-per-view farewell concert

💡 5 Lessons from the Ozzy Playbook 🔥 A revolutionary product isn’t enough — early Black Sabbath lacked business structure 🔥 Every founder needs a “Sharon” — an operator who scales the chaos 🔥 Don’t deny the scandal — monetize it 🔥 Rejection is a roadmap — Ozzfest was born from a “no” 🔥 Pivot when the model breaks — Ozzfest moved from ticket sales to sponsorships Across his career, Ozzy sold over 70M albums with Black Sabbath and another 51M as a solo artist. Together, he and Sharon built a brand valued at over $220M. His greatest legacy may not be surviving the chaos — but mastering it, turning a rock persona into a global business that will outlive him. RIP, Prince of Darkness. ✔️Powered by Trade Watcher

📱 BiteSight blew up after one TikTok YC-backed BiteSight is a food delivery app that lets users discover restaurants through short videos and friend recs — not stock photos. One casual TikTok pitch from the founder's sister sent it viral and broke the app. 🖱 TikTok hit 4M likes, app hit #2 in App Store 🖱 100K+ users joined in days, NYC only for now 🖱 Built by ex-General Atlantic PM, launched from YC W24 🖱 Uses AI to stay lean vs Uber Eats-style infra 🖱 Restaurants now reach out to partner, not the other way around

The app plays to how Gen Z finds food: video-first, socially shared, and real. Discovery is the product — not delivery speed.

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📉 Only half of VCs ever back a truly successful deal New data reveals a tough truth for the venture world: just 50% of VC firms have made even one investment that meets any of these three success benchmarks: 🖱 Backed a company that became a unicorn 🖱 Achieved at least a 2x return on an exit 🖱 Reached an IPO Even a single win by these standards puts a firm in the top half of the industry. VC may promise big returns — but the hit rate is brutally low. ✔️Powered by Trade Watcher

📊 What is YoY — and Why It Matters in Startup Analysis YoY (Year-over-Year) compares a metric from a specific period (like a month or quarter) with the same period the previous year. This helps investors and founders assess true growth trends, without being misled by seasonality.

💡Example: If a startup reports 50% YoY MRR growth, it means monthly recurring revenue is up 50% from the same time last year — a strong sign of momentum.

Tips for using YoY in startup evaluation: 🖱 Compare the same time periods across years — this removes seasonal noise 🖱 Focus on consistency — stable YoY growth matters more than one-time spikes 🖱 Look beyond revenue — check client count, pricing, margins 🖱 Context matters — fast YoY growth is easier for young startups than mature firms YoY shows trajectory. Use it wisely. ✔️Powered by Trade Watcher

⚖️ LegalOn raises $50M to speed up legal work with AI Japanese startup LegalOn is building AI tools to help lawyers review contracts faster and more accurately. The product is already widely used — and now the company is doubling down on the US and UK markets. 🖱 AI scans legal documents, flags risks, and suggests edits 🖱 Cuts review time by up to 8x, according to the company 🖱 7,000+ companies already use it across Japan, the US, and UK 🖱 In Japan, 25% of all public companies are LegalOn users 🖱 New funding round led by Goldman Sachs brings total to $200M 🖱 Actively building AI legal agents, with early access to OpenAI models

LegalOn is trying to become the default AI co-pilot for contract review — starting with scale, not hype.

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