Sponsored by

|
BUILDER HUSTLE
AI · TECH · STARTUPS
|
|
|
In This Issue
|
|
🎧 Your AirPods Can Now Fix Your Posture. No Extra Hardware Needed.
|
|
🚨 19-Year-Old Built an AI Speed Camera for $20. Sold It for $550,000.
|
|
🆓 A 284B Parameter Model Is Free Until June 28. No Catch.
|
|
📈 Google Open-Sourced a Forecasting Model Trained on 100 Billion Data Points
|
|
|
🎧 AIRPODS · POSTURE · VIBE CODING
|
|
Your AirPods Already Have a Posture Sensor. This Developer Just Noticed and Built a Pomodoro App Around It.
|
|
|
A developer built a Pomodoro timer that reads the motion sensors already built into AirPods to track head position during work sessions. If you start slouching, it alerts you immediately and logs the posture pattern across the session. No extra hardware, no special permissions, no meaningful battery drain. The project is a clean example of a pattern worth stealing: the most useful builds often come from noticing a capability that already exists in hardware millions of people own, rather than designing new hardware from scratch.
|
|
📌 Uses the existing gyro and accelerometer in AirPods. Zero new hardware required from the user.
|
|
⚡ Real-time alerts mean correction happens in the moment, not as a report you review after the damage is done.
|
|
🔭 Every piece of consumer hardware has unused sensor data sitting idle. The next wave of clever apps will mine exactly that.
|
|
|
See details →
|
|
|
🚨 VIRAL CLAIM · AI BUILD · HYPE CHECK
|
|
A 19-Year-Old Allegedly Built an AI Speed Camera for $20 and Walked Out With a $550,000 Check.
|
|
A 19-year-old student named Zhang Wei used Claude to build an AI radar and speed camera system in one month for $20, detecting speeding cars, reading license plates, and automatically emailing fines with video evidence. The story says he walked into a Hong Kong administration office with a flash drive and walked out 30 minutes later with a $550,000 check.
|
|
See details →
|
|
Not just another AI newsletter
Most AI newsletters summarize headlines. MavSource is different.
We aggregate updates from all major AI newsletters, podcasts, company news, AI labs, public and private company activity, GitHub projects, funding rounds, earnings calls, and investor letters — hundreds of sources every day. Then we summarize what matters, analyze emerging trends, and add our own founder commentary so you understand why a development may matter — not just what happened.
One 5-minute email, every morning. Built for investors, founders, and operators who want to understand AI as a business, technology, and market trend — not just another news cycle.
The daily email is free. It's also the entry point to a deeper intelligence product covering watchlists, public-company read-throughs, startup trackers, and investor-letter tracking.
|
🆓 DEEPSEEK · FREE MODEL · OPENMODEL
|
|
DeepSeek-V4-Flash, a 284B Parameter Model With a 1M Token Context, Is Completely Free Until June 28.
|
|
|
OpenModel is offering DeepSeek-V4-Flash at zero cost for both input and output tokens until June 28. It's a 284B parameter Mixture-of-Experts model with a 1 million token context window and strong performance on coding and agentic tasks. Other models on the platform are also discounted 20 to 80% during the same window. For anyone running high-volume coding agents, research pipelines, or document processing, this is a free testing window on a genuinely capable frontier-adjacent model. No subscription required, just an account on OpenModel.
|
|
📌 1 million token context window. Process entire codebases or long documents in a single call without chunking.
|
|
⚡ Free input and output tokens until June 28. Run your heaviest workloads now while the window is open.
|
|
🔭 If it performs well on your coding or agentic tasks during the free window, lock in usage data now to justify the switch before pricing returns.
|
|
|
Try it free →
|
|
|
📈 GOOGLE · TIMESFM · FORECASTING
|
|
Google Open-Sourced TimesFM. It Forecasts Sales, Stock Prices, and Crypto Volatility With Zero Fine-Tuning.
|
|
|
Google open-sourced TimesFM, a time-series forecasting model trained on 100 billion real-world data points. It predicts patterns in sales, stock prices, web traffic, energy demand, and crypto volatility in zero-shot mode, meaning no fine-tuning is required for your specific dataset. It runs 100% locally and is fully open-source on GitHub. Most forecasting tools require months of model tuning per use case. TimesFM compresses that into a model you can point at your data today and get a usable baseline immediately.
|
|
📌 Zero-shot means no fine-tuning needed. Point it at your time-series data and get forecasts immediately.
|
|
⚡ Runs fully locally. No API costs, no data leaving your infrastructure, no usage limits.
|
|
🔭 Finance teams, ops teams, and anyone running demand forecasting should test this against their current tooling.
|
|
|
View on GitHub →
|
|
|
Top Products To Watch Today
|
| 🕶️ Oakley Meta Glasses |
#1 |
Sports · Wearables · AI
AI glasses built for performance. Meta brings its smart glasses tech to Oakley frames for athletes who want AI on the go.
|
|
|
Chrome Extensions · Email · Productivity
Rewrites your casual emails into polished corporate tone in one click. Great for anyone who hates writing formal replies.
|
|
|
Productivity · AI · Menu Bar
Talk to any AI model directly from your Mac menu bar without switching apps or tabs.
|
|
|
Stay sharp,
Builder Hustle