In partnership with
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BUILDER HUSTLE
AI · TECH · STARTUPS
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In This Issue
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🔌 An Unofficial Gemini Web Proxy Creates a Local API
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🧠 AirLLM Runs Giant Models on Tiny GPUs
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🟢 Magnetic Slime Robots Could Navigate Where Rigid Robots Cannot
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📦 A Viral ESP32 Scanner Claims to Count Objects Inside a Closed Box
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🔌 GEMINI WEB-TO-API · OPEN SOURCE · LOCAL PROXY
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This Open-Source Project Turns Gemini's Web Interface Into a Local OpenAI-Compatible API.
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Gemini Web-to-API is an unofficial open-source project that translates OpenAI-style requests into requests understood by Google's Gemini web interface. Run a single Python file and it launches a local server at localhost:8081/v1, allowing compatible clients such as Cherry Studio or ChatBox to connect without an official Gemini API key. The project lists Flash and thinking-model support, plus configurable local API keys.
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Explore Gemini Web-to-API on GitHub →
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🧠 AIRLLM · OPEN SOURCE · LAYER-WISE INFERENCE
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AirLLM Streams Giant Models One Layer at a Time So They Can Run on Small GPUs.
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AirLLM is an open-source inference engine that splits a model into layer-level files, loads one layer into GPU memory for computation, then offloads it before loading the next. This means VRAM demand is determined by the size of an active layer rather than the model's total parameter count. The project originally demonstrated 70B-parameter inference on a single 4GB GPU without quantization, pruning, or distillation, while recent project materials claim support for much larger models including DeepSeek-V3, Llama 3.1 405B, and the sparse 2.8T-parameter Kimi K3.
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📌 It makes large open weights accessible on low-VRAM GPUs, provided the system has enough disk space and system memory to store the model layers.
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⚡ Lower VRAM use does not mean fast inference. Repeatedly streaming layers from storage can trade memory savings for much slower response times.
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Explore AirLLM on GitHub →
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📦 ESP32 · DIY HARDWARE · UNVERIFIED CLAIM
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A Viral ESP32 “Object Scanner” Claims It Can Count Salt Grains Inside a Closed Box.
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A viral DIY demonstration shows an ESP32 paired with a simple copper wire loop and claims it can identify the exact number of matchsticks inside a closed box, or count more than 4,000 individual grains of salt. The creator has not publicly explained a validated sensing mechanism, calibration process, test controls, or independent replication. Conventional capacitive and inductive sensing can measure aggregate material properties, but there is no clear evidence that this simple setup can reliably count discrete, non-metallic objects hidden in a container.
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Watch the original ESP32 scanner claim →
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The Next Breakout Might Be in Your Pocket
Everyone’s hunting for the next Unicorn.
The type of “category disruptor” that grows fast and turns early believers into big winners.
59,000+ investors think that Mode Mobile could be one of those rare finds.
Americans spend 4 ½ hours on their phones daily, and Mode Mobile is monetizing that screentime. With $1B+ earned by over 490M customers and 32,481% revenue growth, Mode’s EarnPhone is turning smartphones into income generating assets.
Their previous raises sold out, and the company is now offering pre-IPO shares at $0.52/share with up to 20% bonus, exclusive to early investors.
Being early is everything, and this window is still open.
Mode Mobile recently received their ticker reservation with Nasdaq ($MODE), indicating an intent to IPO in the next 24 months. An intent to IPO is no guarantee that an actual IPO will occur.
The Deloitte rankings are based on submitted applications and public company database research, with winners selected based on their fiscal-year revenue growth percentage over a three-year period.
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🟢 CUHK · SOFT ROBOTICS · MAGNETIC SLIME
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This Magnetic Slime Robot Can Flow Through Tight Gaps, Then Curl Around an Object.
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Researchers at The Chinese University of Hong Kong developed a soft robotic slime containing magnetic particles that can be guided using external magnetic fields. The material can deform, move through narrow tubes and maze-like spaces, self-heal, and curl to grip or swallow small objects. The researchers have proposed future medical applications such as retrieving accidentally swallowed button batteries or sharp bones without conventional surgery.
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📌 A soft, shape-changing material can navigate spaces where rigid medical tools and conventional robots struggle to move safely.
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⚡ This remains a research prototype. Biocompatibility, containment of magnetic particles, and clinical safety require substantial further validation.
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Read CUHK's magnetic slime robot research →
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Stay sharp,
Builder Hustle
