🚕 Taxi drivers are hacking the system — with helper apps

As Uber and Lyft squeeze driver margins, a new class of “driver aid” apps is emerging to fight back quietly, but effectively.

Apps like Mystro, GigU, and Maxymo intercept incoming ride requests and enhance them with real-time info: estimated hourly earnings, mileage, tax impact, and a color-coded profitability score. Green means go — red means decline.

🔸 Drivers can set filters and let the app auto-decline bad rides
🔸 Monthly subscriptions cost up to $20, but net earnings rise
🔸 Apps now bypass detection by using Android accessibility services — originally designed for disabled users
🔸 This lets them read screen data and “click” buttons invisibly
🔸 Uber sued GigU in Brazil, but lost on appeal — even regulators backed GigU

Drivers are using tech to fight back — not strikes. It's automation from the bottom up. A shadow market for worker tooling is growing, one ride at a time.

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🔗One site to replace 100 browser tabs

Someone built the Swiss army knife of online tools — and it’s completely free, unlimited, and ad-free.

Here’s what it can do:

🔸 Calculate mortgages, calories, interest, travel time
🔸 Help devs with JSON, RegEx, JWT, and more
🔸 Generate passwords, QR codes, even horoscopes
🔸 Transfer playlists between music platforms
🔸 Convert images, text, time zones, units
🔸 Yes — it can even build your Elden Ring setup

Bookmark it now: 4me.tools

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🎵 ChatGPT promised a feature — so the founder built it

The music app Soundslice never supported ASCII tablature. But ChatGPT kept telling users it did — until the founder gave in and made the hallucination real.

🔸 Soundslice helps musicians practice by syncing notation with video
🔸 It also has an AI sheet scanner that turns photos of standard sheet music into interactive scores
🔸 Users began uploading ASCII guitar tabs — text-based notation like —3—5—7—
🔸 ChatGPT had confidently told people these would work on Soundslice
🔸 Founder Adrian Holovaty discovered the bug after spotting strange uploads in error logs
🔸 He faced a choice: publish disclaimers everywhere — or make it real
🔸 In the end, he built the feature, calling it a “weird case of being forced by misinformation”

It’s likely the first time an AI hallucination turned into an actual product feature. But in a world where LLMs drive user behavior at scale, this might become the new normal.

Sometimes reality bends to fit the prompt.

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🎯 10 phrases that instantly raise red flags for investors

These aren’t always mistakes — but they can signal the wrong things if not framed carefully.

🔸 “We’re targeting a $20–100M exit.”
Sounds like you’re building a quick flip, not a long-term company.

🔸 “We’re a bit burned out.”
Honest, but makes me question whether the team can go the distance.

🔸 “We need money to start sales and marketing.”
Do you already know what works? Having proof of early traction builds trust.

🔸 “Our CTO is leaving.”
That happens. Just have a plan and communicate it clearly.

🔸 “Our burn rate is high, so we need more capital.”
Show that you’re in control. It’s not about the spend — it’s about the strategy behind it.

🔸 “We haven’t really looked into competitors.”
If the market exists, you need a clear position within it.

🔸 “Sales are flat, but we’re confident they’ll grow.”
Optimism is great — but show a go-to-market strategy, not just hope.

🔸 “The market is still small.”
Fine — if you can clearly explain how it gets big.

🔸 “We’re cheaper than competitors.”
That’s not a moat. Focus on value, not discounts.

🔸 “They’re not paying customers, just trials.”
Free users aren’t revenue. Be precise. Real traction beats inflated metrics.

Small things kill trust. Investors don’t just back the idea — they back the team.

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🧠 Real-time AI avatars just got a serious upgrade

While Musk experiments with Grok-powered characters like Ayna and Rudy, Hedra has quietly launched a real-time avatar engine — and it might change the game.

🔸 Costs just $0.05/min — 15x cheaper than HeyGen or Character.ai
🔸 Built on LiveKit infra with sub-100ms latency
🔸 Compatible with any LLM or TTS model — not tied to one stack
🔸 Lets you create avatars from a single image in any style: photorealistic, animated, or stylized

Live demo now available 👈

If this holds up, we’re looking at the future of interactive AI interfaces — cheap, low-latency, and model-agnostic.

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🧪 Latent Labs brings push-button protein design to the browser

Latent Labs has launched Latent-X — a web-based AI model that lets anyone generate novel protein structures with a click.

Built by ex-DeepMind researchers, it aims to democratize protein engineering with atomic-level precision.

🔸 No-code platform generates protein binders and macrocycles from a simple target
🔸 Lab tests show 91–100% hit rates for macrocycles and 10–64% for mini-binders
🔸 Delivers picomolar to micromolar binding affinities, not just predictions like AlphaFold
🔸 Free access for academia and startups; licensing for commercial use

With traditional wet-lab work costing millions and taking months, Latent-X offers a software-like approach to biotech — fast, cheap, and accessible from any browser.

This could mark the start of programmable biology for real.

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🧠 Turn ChatGPT into anyone — from therapist to web developer

A new site just dropped with hundreds of prompts that instantly turn ChatGPT into any expert you want.

🔸 Become a tutor, lawyer, coder, coach — pick a role
🔸 One click and you’ve got an AI investor or language teacher
🔸 Just copy the prompt and paste it into ChatGPT
🔸 Works with the free version too

Try it here 👉 Agentic Workers 👈

Tried any good ones? Drop your favorites.

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📚 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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