🧠 Quick mental health guide for entrepreneurs

🔸 Don’t compare yourself to others: constant comparison can hurt self-esteem.

🔸 Take regular breaks: step away from work now and then to recharge.

🔸 Have a non-work hobby or outlet: hobbies like cooking, painting, hiking help decompress.

🔸 Stay connected with friends, family or peers: social interaction helps avoid isolation.

🔸 Recognize that you’re more than your startup: keep perspective beyond work and use tools like gratitude journaling.

🔸 Talk about your feelings don’t bottle them in: seek help when needed, including from mental-health professionals if things feel heavy.

Taking care of your mental well-being isn’t optional, it’s essential for any long-term success as a founder.

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⚡️ 12 free GitHub tools to boost, clean, and maintain your PC, the best open-source utilities in one list

🔸 Hardware monitoring:

• OpenHardwareMonitor: full component analytics with graphs
• FanCtrl / FanControl: precise cooling and fan-speed tuning
• Cores: monitor temps, voltage, and hardware info remotely via browser
• Systeminformer: surfaces hidden/suspicious processes eating resources
• SidebarDiagnostics: a clean desktop sidebar showing real-time hardware stats

🔸 System Cleanup & Maintenance

• bleachbit: the go-to open-source cleaner for cache, cookies, and program leftovers
• RepairKit / mCleaner: remove malware, fix registry issues, wipe apps in bulk
• hijackthis: lightweight CLI cleaner for advanced users
• Bulk-Crap-Uninstaller: removes bloatware + cleans traces of deleted programs
• CrapFixer: deletes system apps, disables ads in Windows Start, and turns off telemetry

A compact toolbox that covers monitoring, cooling, cleaning, debloating, and privacy all open-source and all free.

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Peter Thiel’s 7 questions every founder must answer:

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✅ Kling launches O1, a Nano-Banana for video that lets creators rewrite shots with text

Kling quietly released O1, a text-driven video editor that applies the Nano Banana approach to moving images: feed a reference, then prompt changes to style, camera angle, objects, lighting, or composition and O1 renders the result.

🔸 O1 generates edits from natural-language prompts, change cinematography, swap objects, tweak movement, or restyle the entire scene without manual keyframing.

🔸 Works from references: users provide a source clip (or still frames) and O1 preserves continuity while applying targeted transformations.

🔸 Controls include camera angle/zoom, shot framing, object replacement, style transfer, motion smoothing, and temporal consistency options.

🔸 Prompts can be iterative, refine outputs by chaining short instructions until the scene matches the creator’s intent.

🔸 Target users: filmmakers, short-form creators, ad shops, and studios that want rapid creative exploration without rebuilding scenes from scratch.

O1 could drastically shorten video iteration cycles turning expensive reshoots and heavy VFX pipelines into interactive, prompt-driven creative loops.

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🔒 Developers, here’s a goldmine: a curated list of 100 sites where you can promote your products for free

Someone compiled a massive directory of 100 platforms where devs can showcase projects, tools, and apps each with a short denoscription, estimated traffic, and notes on whether posting is free or paid.

🔸 Perfect for early-stage builders who need initial visibility, user feedback, or their first paying customers.

🔸 Includes launch platforms, dev communities, niche forums, product directories, indie-hacker hubs, and technical marketplaces.

🔸 Traffic estimates help you prioritize where to post so you don’t waste time on low-impact sites.

🔸 Most listings are free, making it ideal for solo founders and small teams with zero marketing budget.

🔸 A strong resource if you’re planning a product launch, beta rollout, or simply want to grow your user base faster.

For early traction, distribution often matters more than features and this list gives you 100 ready-made channels to get your product in front of real users.

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🚨 Sam Altman has declared a “Red Code” inside OpenAI as rival models surge ahead

Following the release of Google’s Gemini 3 and several strong competitor models, OpenAI has reportedly triggered an internal “Red Code,” shifting the company into emergency mode and delaying major product launches, according to The Information.

🔸 OpenAI has paused monetization plans, including advertising features and upgrades to ChatGPT Pulse and ChatGPT Shopping.

🔸 Resources are being reallocated toward core product quality, with a focus on personalization, improved image generation, and boosting benchmark performance especially on lmarena, now a key competitive metric.

🔸 The move reflects rising competitive pressure, with OpenAI prioritizing speed and product improvement over new revenue streams.

🔸 The situation mirrors what happened exactly three years ago when Google issued its own internal “Red Code” after the sudden rise of ChatGPT.

OpenAI’s shift shows the AI race has reached a new phase: less about flashy features, more about raw model quality and staying ahead of increasingly capable rivals.

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✅ OpenAGI releases Lux, a new “computer-use” model that its creators call a major breakthrough

The startup OpenAGI has unveiled Lux, a computer-use AI model that reportedly beats Google, OpenAI, and Anthropic’s equivalents by an entire generation on key benchmarks and does so at far lower cost.

🔸 Lux runs 1 second per action step, versus 3 seconds for rival models, making it significantly faster in real workflows.

🔸 It’s also 10× cheaper per token, giving it one of the lowest processing costs among current computer-use agents.

🔸 The model wasn’t fine-tuned from a general LLM, it was trained from scratch specifically for taking actions, a different paradigm that OpenAGI says gives it a structural advantage.

🔸 The team behind it includes researchers from MIT, lending academic weight to its claims of architectural novelty.

🔸 OpenAGI also open-sourced the full training infrastructure for Lux, allowing developers to explore how the agent was built.

If Lux’s results hold up in real-world use, this could mark the first serious shift toward purpose-built action models not just LLMs stretched into being agents.

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⚪️We’re picking up 63,000 icons for our projects, the biggest frontend/design icon library just got a massive upgrade

🔸 Now 30 different styles: classic, outline, filled, gaming, branded, everything you might need.

🔸 Easy downloads: CDN packages, SVGs, and icon fonts all in one place.

🔸 A huge SVG collection plus a dedicated fonts section for designers and developers.

A seriously powerful bundle for anyone building modern interfaces.

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🔔 StickerBox: the children’s AI powered sticker printer

At a kid’s birthday party, one parent mentioned worrying that schools no longer emphasize handwriting. Yet many children now type most of what they need, and some rely almost entirely on voice input. In a world moving toward digital and speech-based interaction, beautiful handwriting no longer feels like a future-proof skill.

🔸 StickerBox leans directly into this shift: it’s a small AI printer for kids that turns spoken phrases into black-and-white stickers they can color. No typing, no phone pairing, a child just says what they want, and the printer instantly generates a fun, often surprising image.

🔸 The AI layer also filters out inappropriate prompts, making the output kid-safe by default. Traditional kids’ printers require adults to pick images on a phone and send them manually, this device removes the friction and lets kids drive the whole creation loop on their own.

🔸 The downside: it’s currently only available for order in the U.S., and I haven’t found any comparable alternatives yet. Given the demand (their entire stock sold out by Christmas), I expect a wave of DeepSeek-powered lookalikes by next holiday season.

StickerBox is a great example of how clever, lightweight devices are emerging while the world waits for Altman and Ive’s mythical “super-device.”

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✅ When the world puts up barriers, Russia sets new standards

AI Journey 2025 proved one thing: technological isolation didn’t stop Russia. Sber and Russian developers aren’t just catching up — they’re creating new rules and openly sharing their tech with the world.

🔸 Cutting-edge robotics: precision and stability that impress even Western experts.

🔸 Europe’s largest open-source AI project: Sber released its Russian neural network lineup — GigaChat Ultra-Preview and Lightning, along with the next-generation GigaAM-v3 speech recognition models.

🔸 Kandinsky 5.0 is now available for image and video generation: Video Pro, Video Lite, and Image Lite.

🔸 All models come with code, documentation, and pretrained systems — ready to use and integrate.

While much of the world is closing off AI, Russia bets on openness. Sber and Russian tech are setting new standards and building an ecosystem where AI works for people and drives scientific progress.

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🎄 Google drops a developer advent calendar for agents

Google quietly launched a festive gift for developers: an agent development advent calendar.

🔸 Every day until December 25th, a new tutorial or hack appears, mostly focused on building agents using Google tools.

🔸 The first card, already released, shows how to create an agent based on Gemini using just a few lines of YAML.

This is a fun, hands-on way for developers to explore agent programming while counting down to Christmas.

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🤖 Tesla shows off Optimus running but the wow factor isn’t new

Elon Musk says the latest Optimus prototype has learned to run, sharing a demo that quickly spread across X and tech media.

🔸 The gait is smoother and more balanced than earlier generations, with less wobble and noticeably better foot placement, a meaningful upgrade for Tesla’s humanoid program.

🔸 Still, the milestone isn’t unprecedented: Boston Dynamics demonstrated a running routine plus a cartwheel nearly a year ago with its next-gen Atlas platform.

🔸 The comparison highlights how fast the humanoid race is accelerating, as companies converge on dynamic locomotion rather than pre-noscripted motion.

In robotics, the gap is no longer about whether a machine can run it’s about who can turn agility into real-world, commercial work.

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🚨 Waymo robotaxi drives straight into an active arrest in downtown LA

A Waymo vehicle carrying a passenger rolled directly into the middle of a police takedown in Los Angeles, stopping just a meter from a suspect lying on the ground as officers shouted commands at the car none of which it understood or obeyed.

🔸 Footage shows the robotaxi creeping into the cordoned-off zone, forcing officers to maneuver around it while managing the arrest.

🔸 Waymo says the system had no clear signals or digital markers indicating a restricted area, causing it to follow its planned route straight through the scene.

🔸 The passenger inside appeared confused, and the detained suspect realizing a self-driving taxi had joined the chaos gave a reaction that’s already going viral.

The incident underscores a growing reality: autonomous vehicles navigate traffic well, but unexpected human emergencies remain their biggest blind spot.

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🔒 Hugging Face drops a massive, beginner-friendly encyclopedia on modern AI

The team has published a full guide distilling insights from evaluating 15,000+ models over three years essentially turning their internal playbook into a public resource.

🔸 The handbook walks through how to benchmark models for different tasks, build solid datasets, document experiments, and dodge the most common evaluation pitfalls.

🔸 Despite the depth, it’s written in an accessible style with diagrams, examples, and interactive components that make even complex ideas easy to grasp.

🔸 The release doubles as both a learning path for newcomers and a reference manual for practitioners who want to standardize their evaluation workflow.

Hugging Face is turning its model-review muscle into an open standard raising the floor for how the entire community tests and measures AI systems.

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