Day 10 of sharing potential money making ideas 🚀: EcoGear Hub With increasing awareness around sustainability, consumers are seeking eco-friendly alternatives for everyday gear like clothing, accessories, and gadgets, but options are scattered and hard to find in one place. Build a curated online marketplace or app that aggregates the best sustainable products from emerging brands, using AI to personalize recommendations based on user preferences, location, and trends from social media. Start with affiliate links to drive commissions, then partner with brands for featured promotions and eventually launch your own private-label eco-products. This is straightforward to set up with no-code tools and has strong revenue upside through repeat buyers and viral sharing in eco-communities. Key will be sourcing authentic products, building trust with certifications, and leveraging SEO/marketing to attract conscious shoppers.

New light based chip boosts power efficiency of AI tasks 100 fold Engineers have created a new computer chip that uses light instead of electricity to perform convolutions, one of AI’s most power hungry tasks. By using lasers and microscopic Fresnel lenses on circuit boards, the chip can process images and patterns evn 100 times more efficiently than current chips, with faster speeds and far lower energy use. In tests, it achieved 98% accuracy on digit recognition, matching traditional chips. The design also allows parallel processing with multiple wavelengths of light, boosting efficiency further.

Day 11 of sharing potential money making ideas 🚀: AI Fine-Tune Marketplace In 2025, AI creators are fine-tuning models like LoRAs, QLoRAs for images/text/video, but monetization is scattered on sites like Hugging Face or Civitai. Build a marketplace for uploading, showcasing, and selling these fine-tunes, datasets, or adapters in niches (e.g., portraits, code tools). Include AI quality checks, previews, and secure downloads. Monetize with 10-20% transaction fees, premium seller features (e.g., analytics), and buyer subs for unlimited access; add cloud partner affiliates. Low-code launch with no-code tools, viral potential in AI communities Key here will be to provide previews on how these LoRas are good unlike other aggregators

Dario Amodei says fast AI progress could come with a hidden cost: job loss and economic concentration "the pie may grow, but fewer people could share it" Entry-level white-collar jobs are especially at risk: law, consulting, and finance. These are the workhorses of the economy, and AI is already pretty good at them

🚨 BREAKING: @UnitreeRobotics to file for IPO at $7 billion valuation > annual revenue ~$140 million > 65% from robot dog (70% share of the global market btw) > 30% humanoid robot > 5% from sales of sensors, actuators, and controllers ITS HAPPENING.

The kind of frequent layoffs are happening in Indian IT and Tech sector, Govt should seriously come up with some package to support the impacted one, may be refund atleast 1 year of income tax for every 5 years of service.

Day 10 of sharing potential money making ideas 🚀: EcoGear Hub With increasing awareness around sustainability, consumers are seeking eco-friendly alternatives for everyday gear like clothing, accessories, and gadgets, but options are scattered and hard to find in one place. Build a curated online marketplace or app that aggregates the best sustainable products from emerging brands, using AI to personalize recommendations based on user preferences, location, and trends from social media. Start with affiliate links to drive commissions, then partner with brands for featured promotions and eventually launch your own private-label eco-products. This is straightforward to set up with no-code tools and has strong revenue upside through repeat buyers and viral sharing in eco-communities. Key will be sourcing authentic products, building trust with certifications, and leveraging SEO/marketing to attract conscious shoppers.

Day 9 of sharing potential startup ideas 🚀: AI Optimised Cloud Infrastructure design Teams choosing cloud services optimize for different things: speed, cost, or reliability. But there is no single place that aggregates real-time pricing, performance, and features across providers like AWS, GCP, Azure, and Vercel. An AI assistant built on this data can recommend system designs tailored to a user’s goals, whether velocity, cost efficiency, or reliability. It could even model trade-offs and suggest emerging providers in specific areas such as databases or edge services. The platform makes money partnerships with new providers and with B2B licencing later on, while giving developers a real-time intelligence layer to simplify complex infrastructure decisions.

August UPI transactions dip ₹2,500 cr 😱 Gamers’ cash stays offline thanks to the new ban! #FinTech

Introducing ClockBench, a visual reasoning AI benchmark focused on telling the time with analog clocks: - Humans average 89.1% accuracy vs only 13.3% for top model out of 11 tested leading LLMs - Similar level of difficulty to @fchollet ARC-AGI-2 and seemingly harder for the models than @DanHendrycks Humanity's Last Exam - Inspired by original insight by @PMinervini , @aryopg and @rohit_saxena

Day 9 of sharing potential startup ideas 🚀: AI Optimised Cloud Infrastructure design Teams choosing cloud services optimize for different things: speed, cost, or reliability. But there is no single place that aggregates real-time pricing, performance, and features across providers like AWS, GCP, Azure, and Vercel. An AI assistant built on this data can recommend system designs tailored to a user’s goals, whether velocity, cost efficiency, or reliability. It could even model trade-offs and suggest emerging providers in specific areas such as databases or edge services. The platform makes money partnerships with new providers and with B2B licencing later on, while giving developers a real-time intelligence layer to simplify complex infrastructure decisions.

Day 8 of sharing potential money making ideas 🚀: Vibe shield - Security and performance review for vibe coded apps With so many people vibe coding and taking to production without much knowledge on security and performance it's clear that a new form of security review is required for them. If you can create a company that is both fast to review but also does it case by case basis gives you a unique opportunity in this fast changing economy. The key is to create a security stack that is automated while being flexible focused on vine coded apps. Founders want velocity, if you can review fast and review at reasonable price then it will be a great opportunity in this era. Even if multiple solutions already exist, with minimum marketing you can reach so many people

They will be 100x smarter and able to do almost everything by 2030. Robots are coming.

Geoffrey Hinton: ‘AI will make a few people much richer and most people poorer’ No lie detected.