📚 Readwell is building the IMDb for books — with AI on top

Picking a new book takes effort. Movies last two hours. Books take days. And if you're the kind who has to finish, a bad pick hurts even more.

That’s why Readwell is gaining traction — it’s like IMDb, but for books, powered by AI.

🔸 Snap a photo of your bookshelf to get instant AI-curated picks
🔸 Get a “Read Match Score” to see how well a book fits your vibe
🔸 Search by mood, idea, or theme — not just genre or author
🔸 Skip long reviews — AI summaries give you the core in seconds
🔸 Build and share smart book playlists with friends

Goodreads may own the UGC side of the market, but lacks the AI ease-of-use modern readers expect. If Readwell can scale, it might win the crowd that just wants fast, smart book recs — no friction, no fluff.

What’s your go-to for picking your next read — an app, a friend, or GPT?

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🤖 RoboNeo — a Visual AI Agent That Actually Does Stuff

RoboNeo is a Chinese startup building a real AI design agent — with chat + Figma-style canvas.

You drop files, describe the task, and it does the work: animates, edits, styles, adds music.

One prompt = full video.
Example: Timelapse of world capitals, auto-generated.

Features:
🔸 Animate images into 10s videos
🔸 Stylize visuals (anime, watercolor, etc.)
🔸 Upscale, retouch, add/remove objects
🔸 Create editable design mockups
🔸 Generate music and basic sound

Limits:
🔸 10–20 free generations daily
🔸 $2.99 = 24h unlimited
🔸 Output: 1248×704, 10s per video

Try it here 👉 RoboNeo 👈

Feels like Midjourney + Sora.
Still rough with text and audio — but fast, visual, and promising.

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🧠 Top 5 prompts to get better results from ChatGPT

Simple tweaks in how you ask can turn basic answers into powerful insights.

Here are 5 prompts that upgrade your conversations with AI:

🔸 “Let’s think about this differently” — avoids generic replies
🔸 “What am I missing here?” — surfaces hidden angles
🔸 “Break it down step by step” — gives full process, not just the answer
🔸 “What would you do in my position?” — adds clarity when you're stuck
🔸 “What else should I know?” — captures blind spots you didn’t consider

Save this list — and use it often.

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🧮 OpenAI won the math olympiad

A new reasoning-focused model from OpenAI solved 5 out of 6 problems at the International Math Olympiad — a feat no other AI has ever achieved.

🔸 9 hours, no internet, full proofs required — judged like a human
🔸 Previous LLMs couldn’t even get close to this level
🔸 OpenAI’s new model beat most top national teams
🔸 It didn’t just guess — it reasoned through problems and wrote full solutions
🔸 Acing the hardest high-school math exam on earth

The era of neuro-calculators is here.

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🧠 The ultimate AI agent playground — live on GitHub

If you want to master AI agents, don’t just read whitepapers — run the code.

This GitHub repo is a hands-on goldmine of real, open-source AI agents you can test, break, and rebuild.

🔸 Curated directory of AI agents grouped by type (starter, RAG, multimodal, etc.)
🔸 Explore agents for investment analysis, product launches, research, travel, and more
🔸 Includes autonomous loops, multi-agent teams, browser and GitHub automation
🔸 Agents are plug-and-play — designed to be cloned and tested right from GitHub
🔸 Highlights: Self-evolving agents, financial modeling, full-stack code planners

👉 Awesome LLM Apps 👈

If you're serious about building, this is your lab.

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⭕️ Why Smart Startups Use Growth Loops, Not Funnels

Funnels worked when ads were cheap. Push users in, optimize conversion, repeat. But today’s growth environment is different — CAC is high, privacy changes killed targeting, and funnels leak.

That’s why the best startups now build growth loops.

A growth loop is a system where every user action creates value that brings in the next user. It’s not push — it’s pull. Calendly links, Loom videos, GPTs, Substack posts — each one spreads the product by being used.

You don’t need a new ad budget every month. You need a loop that spins on its own.

🧭 The 7 Growth Loop Archetypes

🔸 Viral — users share content that attracts others (TikTok, Spotify)

🔸 Referral — incentives drive invites (Dropbox, Revolut)

🔸 Usage-based — every use exposes new users (Loom, Calendly)

🔸 UGC — users create content that brings in more (Reddit, Substack)

🔸 Collaboration — team tools that spread through invites (Notion, Figma)

🔸 Sales-led — revenue funds sales, which closes more revenue (Salesforce)

🔸 Product-led — the product expands through usage alone (Slack, ChatGPT)

Funnels convert.
Loops scale.

If your product can generate new users through use — you build a loop.
And loops are how you survive a high-CAC world.

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⚖️ Law ChatGPT — AI that reads contracts so you don’t have to

Law ChatGPT helps you review documents, flag suspicious language, and explain legal terms.

🔸 Spots risky clauses in contracts
🔸 Explains complex legal jargon
🔸 Handles PDFs, agreements, and official docs

👉 LawChatGPT 👈

No more paying lawyers just to tell you not to sign.

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🤖 China’s Unitree launches humanoid robot for just $5,900

Chinese robotics firm Unitree has started selling its R1 humanoid robot at an industry-low price of $5,900 — compared to $200,000 for top-tier models in 2024 (Morgan Stanley).

The 25kg robot has 26 joints and comes with AI-based speech and image recognition.

🔸 Cheapest humanoid robot on the market
🔸 Includes voice and vision AI capabilities
🔸 Aims to rival US players like Boston Dynamics
🔸 Low price could drive mass adoption across home and industrial use

China’s humanoid push is accelerating — and now it’s getting affordable.

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💡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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