⚙️ 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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📣 Bezos on the power shift from marketing to product

In a 2012 interview, Jeff Bezos predicted a major change in how companies should think:

Word-of-mouth is more powerful than it has ever been before.

He argued that the old playbook — 70% marketing, 30% product — was dying.
In the past, you could win with a mediocre product if your marketing was strong enough.

But in the age of social media and instant feedback?

If I build a great product or service, my customers will tell each other.

Bezos’ takeaway: focus relentlessly on product. In a world where people talk, quality sells itself.

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🎬 The ultimate AI toolkit for video creators — in one link

We found a goldmine for content creators: a browser-based platform with every top AI video tool in one place.

🔸 Text-to-video, subtitles, noise removal, face cloning — it’s all here
🔸 Supports trending models like Veo 3, Minimax, Kling, and more

👉 Save your dream video editor 👈

Perfect for creators who want speed, quality — and less post-production pain.

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🔍 ChatGPT agent controls live cam, finds boat on request

A ChatGPT-powered agent was given access to a public webcam overlooking a marina — and asked to locate a specific boat.

It moved the camera, zoomed in, scanned the docks… and found it.

The line between digital agents and physical tasks is getting thinner by the day.

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🧪 PlayerZero is building an immune system for your code

Most tools try to speed up developers. But bottlenecks often sit elsewhere — like in QA. That’s where PlayerZero steps in: AI agents that detect and fix bugs before production, trained on your repo’s history.

🔸 Learns from past incidents, patches, and test cases
🔸 Suggests auto-fixes directly in pull requests
🔸 Designed for complex monorepos and legacy systems
🔸 Hooks into CI/CD in minutes
🔸 Used by teams like Zuora to monitor billing infra
🔸 Just raised $15M from the likes of Databricks' founder and Vercel’s CEO

Fun fact: the founder demoed it to the creator of Next.js — who didn’t believe it at first, but then invested.

While tools like Cursor’s Bugbot chase AI code review, PlayerZero goes for the full loop: detect → explain → fix.
And they’re betting on enterprise complexity as the wedge.

QA might be the next frontier for AI agents.
If devs write fewer bugs — and agents catch the rest — what’s left for the human tester? 🤔

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