Startups & Ventures – Telegram
Startups & Ventures
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A hub for startup news, trends, and insights, covering the global startup ecosystem for founders, investors, and innovators.

Community: @startupdis
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🚲 Citi Bike now charges for pedal assistance, welcome to the new “freemium mobility”

Citi Bike has rolled out a new paid feature: pedal assistance on its e-bikes. A small boost is free for the first 45 minutes, after which it costs $0.25 per minute. Full assistance? That’s $0.25 per minute from the start.

🔸 It’s basically “microtransactions for biking”, a tiny upgrade that suddenly isn’t so tiny when the meter starts running.

🔸 The pricing model mirrors classic app economics: a free taste, then pay-as-you-go for the real power.

🔸 And surprisingly, there’s still no extra subnoscription tier… which probably means they just haven’t gotten around to launching it yet.

Mobility keeps finding new ways to upsell even if the upsell is literally your own legs.


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🧪 Google’s Antigravity IDE: clever features meet rough edges

Google has released Antigravity, a free AI IDE on Mac, Windows, and Linux, giving users 50 requests every 5 hours. Early users are impressed but also frustrated.

🔸 Standard editing, autocomplete, and agent chat work as expected, but the overall experience feels raw, similar to Cursor.
🔸 The standout is Inbox mode, an asynchronous panel where you assign tasks to multiple agents, track progress, and run projects in parallel or queue.
🔸 Chrome integration lets agents launch apps, browse sites, test elements, take screenshots, and more, appearing more capable than Cursor.
🔸 Weak points include GitHub/git support, occasional macOS lag, and VPN logins that can stall indefinitely.

Antigravity is promising, but early adopters will need patience while Google irons out stability and integration issues.


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📊 10 key takeaways on how AI is reshaping development, GitHub Octoverse 2025

🔸 Developer growth is booming: GitHub added 36M new developers in 2025; 80% adopted AI tools immediately.
🔸 TypeScript takes the crown: surpassing Python as the most popular language.
🔸 AI repos explode: over 1M AI-focused repositories now exist.
🔸 India leads: 5M new Indian developers joined GitHub this year.
🔸 Commits hit 1B: a 25% increase over 2024.
🔸 Faster vulnerability fixes: automation cuts fix time from 37 to 26 days.
🔸 Python dominates AI repos: still the go-to language for AI projects.
🔸 Six languages rule new repos: Python, JS, TS, Java, C++, C# cover ~80% of new projects.
🔸 Top coding error: Broken access control, AI often overlooks authentication checks.
🔸 Productivity up: more bugs fixed and pull requests merged thanks to AI-assisted development.

AI isn’t just assisting developers, it’s accelerating growth, speeding fixes, and shifting language popularity across the platform.


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🎓 100+ free neural network courses now on GitHub for AI enthusiasts

A massive collection of over 100 neural network courses has been gathered on GitHub, ranging from Stanford’s top AI classes to tutorials on fine-tuning AI agents.

🔸 Covers theory, coding exercises, and practical projects for all skill levels.
🔸 Includes both foundational courses and cutting-edge materials for large model training.
🔸 Fully free and open, making it easier than ever to upskill in AI development.

For anyone looking to learn AI from scratch or level up, this is now a one-stop repository.


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⚡️ GPT-5.1-Codex-Max: Windows-native coding power with breakthrough longevity

OpenAI has released GPT-5.1-Codex-Max, a new coding model built to counter Gemini’s momentum and early impressions point to major capability jumps with a few unanswered questions.

🔸 Full Windows + PowerShell awareness marks a first for Codex, with native understanding of Windows paths, environment quirks, and a new Agent mode that can autonomously operate inside the terminal.

🔸 Long-horizon autonomy is the headline, with OpenAI claiming the model can work continuously for 24+ hours on multi-step tasks, rivaling Anthropic’s 30-hour benchmark and signaling that long-context scaling is far from saturated.

🔸 “Compaction” enables massive effective context, letting the model summarize older information and roll it into a fresh window, a kind of short-term/long-term memory hybrid that supports multi-cycle workflows.

🔸 New SOTA coding performance, hitting 77.9% on SWE-bench Verified and outperforming Gemini 3 and Claude Sonnet 4.5, while using ~30% fewer tokens thanks to more efficient reasoning paths.

GPT-5.1-Codex-Max looks like OpenAI’s strongest engineering model yet but real judgment will come once its autonomous Windows agent and API rollout hit broader production use.


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🎨 Google lit up the Las Vegas Sphere with a Gemini-powered McLaren showcase.

Ahead of the F1 Grand Prix this weekend, Google and McLaren unveiled a massive Sphere takeover where Gemini redraws the McLaren race car in a series of shifting artistic styles.

A flawless example of Google landing the perfect collab at the perfect moment.

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⚙️ Learn Python, Docker, Git, DevOps & more, all in one interactive platform

A new all-in-one learning resource has popped up with fully interactive courses covering Python, Docker, Git, DevOps, and many other tech topics, perfect for beginners and upskillers.

🔸 Step-by-step explanations for every concept, function, and method.
🔸 Interactive lessons with lots of hands-on practice and real examples.
🔸 Covers everything from basic syntax to advanced workflows.

For anyone looking to build strong technical skills from scratch, this is a clean, beginner-friendly place to start.


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🤖 OpenAI drops group chats to steal back attention from Google

For the second day in a row, OpenAI is rolling out new features at full speed, this time unveiling group chats in ChatGPT, right as Google dominates headlines.

🔸 The feature is straightforward: you create a chat, invite others, talk as usual, and pull the model into the conversation whenever needed.

🔸 It’s handy for small project discussions or collaborative problem-solving, but feels like a niche use case for most workflows.

🔸 The update is already live for all paid ChatGPT users.

A timely release and a clear attempt to redirect some of the spotlight back to OpenAI.


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Perplexity launches Comet browser on Android

Perplexity’s Comet Browser is now live for Android users, bringing built-in AI that can answer questions about your open tabs, help with research, and even handle purchases. The team says an iOS version is on the way, set to roll out in the near future.

A notable step in Perplexity’s push toward fully AI-assisted browsing.

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🎧 Lumia launches a $250 smart earring, the smallest wearable yet

Lumia has unveiled a $250 smart earring that packs full biometric sensing into a module weighing under 1 gram, claiming the noscript of the smallest wearable on the market. Only one earring contains the sensor it sits behind the ear, pressed against an artery that carries blood to the head.

🔸 The device tracks blood-flow changes to infer stress, focus, fatigue, sleep/wake cycles, and overall cognitive load.
🔸 Temperature sensing and other standard wearable metrics are included, though more advanced claims (menstrual cycle, infection detection) remain unproven.
🔸 The key breakthrough is miniaturization: the module detaches for charging, while the earring itself stays on.
🔸 Real-world concerns remain: battery life is advertised as 5–7 days, but the tiny form factor raises doubts.
🔸 Blood-flow sensing behind the ear is promising but new, accuracy issues and signal glitches are possible.
🔸 The form factor naturally limits the audience; without redesigns, the product skews toward users who already wear earrings.

Lumia’s concept is bold: the best wearable is the one you forget you’re wearing, but ultra-mini devices create as many questions as they solve.


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📮 Maildrop launches one-click disposable email to block spam

A new service called Maildrop has launched, offering instant disposable inboxes that protect your real email from spam, leaks, and shady sign-ups.

🔸 With a single click, you generate a temporary mailbox and immediately start receiving verification codes, login links, or any other incoming emails.
🔸 No registration required, just open the site, copy the address, and use it anywhere you don’t want to expose your primary inbox.
🔸 For more serious use cases, you can also create a custom mailbox name, giving you a cleaner, more memorable burner address.
🔸 Ideal for testing services, avoiding marketing spam, and preventing your main email from being scraped or sold.

A simple, lightweight tool and exactly the kind of utility people will keep returning to as online clutter keeps getting worse.


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⚠️ Anti-AI-washing is coming, luxury brands will sell “human-made” as a premium feature

Coca-Cola’s fully AI-generated New Year’s ad sparked a wave of backlash not because it was bad, but because it broke a cultural symbol people expected to be handcrafted, nostalgic, and human. That reaction is the first hint of a counter-trend that always emerges when a technology goes mainstream: consumers start craving the opposite.

🔸 Just like “organic,” “handmade,” and “non-GMO” became marketing shields (even when the claims were mostly symbolic), brands will begin loudly distancing themselves from AI to position as premium.
🔸 Expect luxury labels to announce zero-AI creative pipelines, human-only craftsmanship, or no-AI customer interactions as a status signal even if the real operations still quietly use AI in the background.
🔸 Many companies will lightly tweak one process to qualify for a new label: the same way “handmade” often means one human touched it once, “anti-AI” may mean one non-essential task was done manually.
🔸 A smaller group of brands will go fully AI-free as a true differentiator, carving out a “human-made luxury” niche for customers tired of algorithmic sameness.
🔸 As AI becomes ubiquitous and cheap, non-AI becomes rare and in luxury, rarity is the whole business model.

The irony is perfect: the AI boom will turn the everyday human touch into a premium product.


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Nano Banana Pro FOR FREE, the most powerful image-generation model just landed on Higgsfield

🔸 Generates flawless infographics, blueprints, charts, maps, and technical diagrams 100% accuracy on structured visuals

🔸 Produces perfect screenshots, hyper-realistic photos, sketches, UI mockups, product renders, and more

🔸 Can solve problems directly on the image, equations, homework steps, calculations, annotations

🔸 Engineered for zero hallucinations, making it ideal for technical, scientific, and instructional graphics

A free model that nails both creative and structured visuals is a serious disruption to every paid imaging tool on the market.


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⚡️ Generate websites and apps in just a few clicks, the powerful AI tool Orchids is out now

🔸 Instantly recreates the design of any website and the output looks like a real human-made clone, not an AI imitation.

🔸 Builds full sites and apps up to 3× faster than competing generators.

🔸 Completely free to use at launch, making it one of the most accessible builders on the market.

The bar for AI-generated frontends just jumped and Orchids wants to become the go-to tool for instant product creation.


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📱China’s new “vibe-coding” app LingGuang goes viral after crashing from demand

Ant Group’s new AI coding app LingGuang has exploded across China, so fast that one of its flagship tools temporarily crashed from traffic.

🔸 The app lets anyone build mini-apps in under 30 seconds just by typing a prompt, Ant calls it “flash programming.”

🔸 It also generates 3D models, animations, charts, and interactive tools, plus a real-time camera that can understand scenes.

🔸 LingGuang hit 1 million downloads in four days, then passed 2 million, becoming the #1 free app on China’s iOS App Store.

🔸 Demand was so high that its flash-program feature briefly went offline as users rushed to test the app.

🔸 The product is part of Ant Group’s push to expand AI consumer tools and compete with China’s rising wave of easy-build app platforms.

LingGuang’s viral growth shows how fast AI-native creation tools can jump from niche demos to mass-market hits in China’s consumer ecosystem.


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🔒 Andrey Karpata launches LLM Council: AI answers by committee

Andrey Karpata’s new project, LLM Council, takes the ChatGPT interface and adds a twist: your request is processed by multiple models at once, then refined collaboratively.

🔸 Requests go through OpenRouter and are answered by several LLMs simultaneously (currently GPT-5.1, Gemini 3 Pro, Sonnet 4.5, and Grok 4).

🔸 Each model sees the other’s anonymous answers, comments, and ranks them before sending feedback.

🔸 All commentary is fed to the “LLM chairman”, which synthesizes the final answer for the user.

🔸 Models often pick another LLM’s answer as superior, GPT-5 consistently praised, Claude frequently rated lowest.

🔸 The project hints at a new frontier in ensemble LLM design, where context framing and model interplay may outperform single-model outputs.

LLM Council suggests that AI reasoning may benefit as much from collaboration and critique as raw model power.


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⚙️ GPU prices are about to climb: AI demand is driving costs up

Social networks are buzzing, and it’s true: graphics cards are set to get more expensive due to soaring memory demand from the AI market.

🔸 Memory costs are up 15–25% recently, forcing manufacturers to raise GPU prices.

🔸 Mid-range and high-performance GPUs could jump 15–20%, while budget models may see reduced production.

🔸 AMD has already warned partners of a 10% price increase on all GPUs, including gaming cards.

🔸 Nvidia hiked prices earlier this year (~15%) due to production costs and geopolitical factors, and another increase is likely after New Year.

if you’ve been planning a GPU purchase, now is the time to buy before the next round of price hikes.


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💻 Claude Opus 4.5 launches and becomes the new programming champion

Anthropic has released Claude Opus 4.5, and it now leads the industry in coding tasks, the first model to hit 80% on SWE-Bench, surpassing all competitors.

🔸 API pricing: $5 / $25 per million tokens (input/output).

🔸 Developers can now choose how the model thinks: fast and cheap, or slow with maximum reasoning depth.

🔸 Claude Code is now available inside the desktop app, with long coding sessions no longer breaking, the model automatically summarizes older context to keep the thread going.

A clear signal Anthropic wants the coding-assistant crown going into 2025.


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🎓 Find Your Grind raises $5M to help students discover non-traditional career paths

Find Your Grind, an education platform focused on helping students explore careers beyond standard college tracks has secured $5M in new funding to expand its product and reach more schools.

🔸 The platform blends assessments, personalized recommendations, and real-world career discovery to help students identify paths that fit their interests and lifestyle.

🔸 Funding will go toward scaling partnerships with school districts and improving the platform’s adaptive learning engine.

🔸 The company says demand is rising as schools seek modern alternatives to outdated guidance counseling models.

🔸 Find Your Grind positions itself as a “future-of-work navigator” for Gen Z, pushing students toward emerging roles, not traditional templates.

A reminder that the next edtech wave isn’t test prep, it’s helping teens figure out who they want to become.


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🖼 FLUX 2 launches, a cheaper rival to Nano Banana with 4K image generation

Black Forest Labs has released FLUX 2, a new image-generation model positioned as a lower-cost alternative to Nano Banana while still delivering high-end output.

🔸 Supports 4K-resolution image generation

🔸 Can complete sketches and refine partially drawn concepts

🔸 Accepts up to 10 reference images for style and content control

🔸 Available to try here: https://playground.bfl.ai/image/generate

🔸 Open-weights version is live on Hugging Face: https://huggingface.co/collections/black-forest-labs/flux2

A strong new entrant in the race for fast, affordable, high-fidelity image models.


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