💡Investor fear beats investor love

Your goal isn’t to be liked by investors.
Your goal is to make them afraid to miss you.

You want them thinking:

Damn, if we don’t invest, this might become the next Uber — and we’ll have missed it.

Here’s how to create that fear 👇

🔸 Make capital look secondary
Your biggest lever should be under your control — not in their wallet.

🔸 Deliver a bold, believable vision
Founders must paint the future so well that investors feel behind.

🔸 In-house technical skill
No outsourcing. You should be able to build it yourself.

🔸 Have the MVP already
“If we get funding, we’ll build it” puts you in a weak position. Build first.

🔸 Get 100 people who love it
Nothing scares a VC more than proof that you’ve already won your niche.

Based on a talk by Michael Seibel, Y Combinator.

Use it as a checklist if the money’s not coming.

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🛠 Google launches Opal — an AI tool for "vibe coding"

Google is testing Opal, a new AI-powered app builder under Google Labs.
You describe what you want — Opal generates a working web app.

Users can edit each step or tweak the app visually. Final projects can be published and shared via link, and there’s a remixable project gallery.

No coding skills required — Opal is built for devs and non-devs alike.
Early access now live in the US.

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🚕 Pony AI goes 24/7 with robotaxis in three major cities

Unlike Tesla’s zigzagging path to full autonomy, China’s Pony AI is moving steadily. In Beijing, Shenzhen, and Guangzhou, the last restriction on commercial robotaxi service has been lifted — they now operate 24/7, including overnight hours.

That’s a big step: night coverage improves access for users and signals real confidence in the tech.

🔸 50M km driven fully autonomously
🔸 Fleet to exceed 1,000 vehicles by year-end
🔸 Coverage expanded across three of China’s biggest urban markets

Meanwhile, the rest of the world is still stuck in the sandbox.

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🎬 “Bolt for video”: AI video editing by text command

Tailored Labs won the $1M Bolt hackathon with a tool that turns video editing into a conversation.

Built on the Bolt platform, it lets users edit videos just by describing changes in plain English — no timeline dragging or manual cuts.

🔸 One-Shot Generation: creates a finished video from raw clips in minutes
🔸 Chat-to-Edit: instantly applies text-based commands to the timeline
🔸 Smart Media Library: uses AI to find takes, trim footage, and sort scenes
🔸 Professional Timeline: supports multi-track editing and transitions
🔸 Cloud Rendering: renders high-quality videos via Remotion, no fan noise

More winners from the hackathon 👉 here

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🧠 1000+ ChatGPT prompts for every task

A massive prompt library for studying, coding, business, medicine, entertainment, and more.

Grab it here 👉 superhuman.ai 👈

Well-organized, easy to use, and completely free.

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💰OpenAI-backed health AI hits $1B+ valuation

Ambience Healthcare, a startup building AI tools to eliminate doctors’ admin work, has raised $243M at a valuation above $1B.

The round was led by a16z and Oak HC/FT, with support from the OpenAI Startup Fund and others.

🔸 The product uses OpenAI models to transcribe visits, prep records, and generate billing codes
🔸 Clients include Cleveland Clinic, Houston Methodist, and St. Luke’s
🔸 CEO says goal is to “fully offload paperwork” so doctors focus only on care
🔸 OpenAI’s deeper push into biotech includes Chai-1, Retro Biosciences, and more

A quiet reminder: OpenAI isn’t just building AGI — it’s building billion-dollar verticals.

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⚙️ 100 free tools for every task

A single site with tools for all your daily needs — no sign-up, all free:

🔸 Text tools — grammar check, plagiarism, converters
🔸 PDF tools — merge, compress, split
🔸 Video tools — trim, convert, resize
🔸 Image tools — crop, remove background, compress
🔸 And many others across dozens of categories

Grab it here 👉 ezytoolz.com 👈

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🔑 30 Key Terms Every Founder Should Know

Project management isn’t just for PMs — every startup founder runs dozens of micro-projects every week.

This cheat sheet covers 30 must-know terms: from backlog and scope creep to MVP, burn rate, and milestone tracking.

A great refresher or onboarding tool for early team members.

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🧠 The Perplexity story: From DeepMind intern to Google’s challenger

Perplexity CEO Aravind Srinivas is quietly building what Google once dreamed of—an “answer engine” that replaces search.

And the industry is starting to notice.

🔸 Srinivas grew up in the same Indian city as Sundar Pichai—his childhood hero
🔸 Inspired by Google’s origin story, he started Perplexity after a stint at DeepMind
🔸 Unlike OpenAI, the team refused to build their own model—focusing instead on product and UX
🔸 Their AI-native browser Comet is gaining traction with early adopters
🔸 Investors now value the company at $18B, while acquirers circle

Perplexity may be the most credible threat to Google’s search empire—and it’s still playing the long game.

👉 Full story here 👈

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🫂How small teams build big revenue

A new report from Growth Unhinged breaks down how early-stage SaaS startups structure their teams.

The takeaway?
You don’t need a huge headcount to hit $1M ARR.

Startups under $1M typically run lean — with just 7 people.
That’s your classic "two-pizza team."

Here’s what that usually looks like:
🔸 3 engineers
🔸 1 product/design
🔸 1 sales
🔸 1 support
🔸 1 admin/ops

Some skip marketing hires early on — founders often handle GTM themselves. Others outsource one-off tasks instead of hiring full-time.

The key is not just who you hire, but how clearly each role maps to revenue. If a founder understands that every teammate should drive profit, not just burn cash — investors will notice.

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🤖 Neural Agent — your AI-powered desktop assistant

A powerful open-source AI agent that can take full control of your computer: search files, browse the web, fill forms, send emails, and more.

🔸 Automates all routine tasks while you code, design, or think
🔸 Runs on Claude, GPT-4, Azure OpenAI, and Bedrock — top-tier models
🔸 Fully integrated UI — type commands into a small bar and get results instantly
🔸 Simple setup with an easy-to-use API and step-by-step install guide

👉 check it out 👈

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🚀 Australia's first orbital rocket lasted just 14 seconds in the air

Eris, the 30-ton rocket from Gilmour Space, launched from Bowen Spaceport — and promptly crashed. But the company is calling it a win.

🔸 First Australian-made rocket to launch from local soil
🔸 Flew for 14 seconds, with 23 seconds of engine burn
🔸 Crash caused no injuries or environmental harm
🔸 Valuable flight data collected for next test
🔸 Prior attempts were delayed by power surges and high winds
🔸 CEO: "Getting off the pad is a huge step forward"

💡Even failure is a milestone when you're building a space industry from scratch. Australia's now officially in the orbital launch game — and they’re just getting started.

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📣 Why Sam Altman Says You Shouldn’t Track User Growth Early On

In the early stages of a startup, it’s not about how many users you have — it’s about how much they love your product.

Altman explains why obsession with absolute growth is a mistake, and what you should focus on instead:

🔸 A small group of obsessed users is better than a wide pool of casual ones
🔸 Deep engagement signals product-market fit more than raw numbers
🔸 Retention and frequency are your best early metrics
🔸 Word-of-mouth is the ultimate validation

Almost all great companies start with a product that a few people love.

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📈 Figma stock pops on IPO debut, hits $47B market cap

Figma finally went public—and Wall Street couldn’t get enough. The design platform opened at $33, surged to $124, and closed at $115.50, ending the day with a $47B market cap.

🔸 IPO demand was so high, trading was briefly halted due to volatility
🔸 Retail buyers joked online about being allocated just 1 share
🔸 Market cap doubled Adobe’s failed $20B acquisition offer from 2023
🔸 After-hours trading stayed hot, with continued price action

Figma didn’t just rebound from a blocked deal—it sprinted past it.

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🧊 Frozen for 30 Years: The Oldest Embryo Baby Born in the US

A boy named Thaddeus Daniel Peirce was born in Ohio from an embryo frozen 30.5 years ago — the longest-known frozen embryo to result in a live birth.

🔸 The embryo was created in 1994 and stored by Linda Archerd, who gave birth to one child that year and kept the remaining embryos frozen for decades, paying $1,000 annually.
🔸 With age and menopause, Archerd decided to donate the embryos, but only to a white, Christian, married US couple.
🔸 The Snowflakes program from Nightlight Christian Adoptions matched the embryos to Lindsay and Tim Peirce, a couple who had tried to conceive for 7 years.
🔸 Rejoice Fertility Clinic in Tennessee performed the transfer — one embryo didn’t survive thawing, but two implanted, and one led to birth.
🔸 Most clinics refuse to work with outdated freezing methods. Rejoice’s founder believes every embryo “deserves a chance at life.”

A surreal mix of faith, biotech — and long-term moral investment.

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🧠 Y Combinator shares fresh ideas for AI-first startups

Ahead of its fall batch, Y Combinator revealed new directions it’s excited to fund — all rooted in the belief that modern startups should treat AI not as a feature, but as the foundation.

Here’s what YC wants to see 👇

🔸 AI-powered training for skilled trades
Think plumbers and electricians trained via VR, with AI tutors giving live feedback and adapting lessons in real time.

🔸 Generative video as a building block
Not final product, but part of the stack — from no-code game creation to virtual clothing try-ons and AI “calls” with digital versions of deceased relatives.

🔸 Infrastructure for multi-agent systems
Startups that can help developers manage huge webs of AI agents — prompt routing, context reliability, debugging at scale.

🔸 AI-native enterprise software
A new Salesforce or ServiceNow, but built for the AI era — tools that actually assist teams, not just log data.

🔸 Ultra-lean, AI-leveraged startups
YC believes a 10-person team can now build a $100B company — if it uses AI to move fast and stay small.

🔸 AI replacing legacy govtech
$100B/year goes to old software in the US government. YC wants startups like Caucus or Archon that cut this cost with modern, AI-native tools.

Applications for the fall batch close August 4.
And yes, they still offer $500K for 7% — plus another slice after your next raise.

The message is clear: build with AI at the core — or get left behind.

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🖌 Photoshop adds new AI tool for seamless image blending

Adobe has launched a new feature in Photoshop called Harmonize — it automatically matches lighting, shadows, and colors to blend one image into another in seconds.

Perfect for creators, meme lords, and anyone tired of manual tweaking.
Drop it in, harmonize, done.

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🧠 Qwen rolls out new reasoning-focused open model

Qwen just released Qwen3-30B-A3B-Thinking-2507 — a new medium-sized open model optimized for logical reasoning across math, science, and code.

🔸 Strong performance on logic-heavy tasks
🔸 Comparable output quality to top competitors
🔸 Supports 256K tokens of native context — expandable to 1M
🔸 Available now via chat.qwen.ai (select the “Thinking” mode)

Qwen continues to quietly raise the bar for open-source LLMs — with serious context and reasoning firepower.

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🌐 Build landing pages in seconds — meet Pagy

Pagy just launched: a blazing-fast browser-based tool for creating websites and personal pages without writing a single line of code.

🔸 No installs — works entirely in your browser
🔸 Pick a template, edit text/images/links right on the page
🔸 No designer, no developer, no code needed
🔸 Built-in hosting and analytics
🔸 100s of ready-made designs from devs and the community

👉 Try it here 👈

A perfect tool for fast MVPs, link-in-bio sites, or spinning up ideas on the fly.

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