RxAll: the pill scanner that learned to work without a data center
A Nigerian startup builds a handheld scanner that spots fake pills in seconds. When the internet failed during a live demo, the fix reshaped the whole product.
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Notes on building fast, scalable web applications with Next.js and headless CMS — the decisions and trade-offs behind real client work.
A Nigerian startup builds a handheld scanner that spots fake pills in seconds. When the internet failed during a live demo, the fix reshaped the whole product.
Read →A tiny Irish-founded startup skips the teach pendant entirely. Forge scans each part to sub-millimeter accuracy first, then lets the welding arm plan its own path, closing the gap that leaves 10% of welded parts needing rework.
Read →A six-person Doha team built a phone app that identifies a hidden infestation by sound alone, catching a beetle larva weeks before any leaf shows damage.
Read →Three Hamburg graduates built LV01, a modular wearable that turns a camera view into a spoken scene description. The trigger sits where a blind person's hand already is: on the cane.
Read →A bedside hub reads live data from your smartwatch and answers with scent, the only sensory channel that can nudge the sleeping brain without waking it.
Read →A Milan startup skips the always-on digitizer that drains battery life in smart devices. Its H1 chip processes sound in analog first, cutting power for wake-word detection by up to 1,000x.
Read →A Waterloo team built the check nobody puts in front of an agent's write: not can it use the tool, but can it trust the evidence behind the decision.
Read →A five-person Seattle startup builds an autonomous robot that pulls weeds growing right next to the crop, the one job herbicide sprayers and tractor cultivators still cannot do.
Read →Three Argentine students turned a school project into a wildfire detection platform that fuses eight satellite feeds and beats NASA's FIRMS alerts by roughly 35 minutes on average.
Read →A tiny team built three neural models that predict a pest protein's shape, screen millions of compounds in hours, and flag when a prediction can't be trusted.
Read →A small Stuttgart team built a processor that runs neural-network math inside optical waveguides, claiming far lower energy because light barely heats up and one optical element replaces hundreds of transistors.
Read →A two-person startup goes after the real bottleneck for AI agents: not raw capability but reliability, by recording a workflow once and replaying it deterministically across any app, even legacy software with no API.
Read →The bottleneck for AI data centers isn't chips, it's a multi-year wait to plug into the grid. Voxel skips the grid entirely with off-grid solar, second-life EV batteries, and a microgrid that stays DC end to end.
Read →Most AI coding tools have a soft definition of success. Hardware doesn't: Verilog either passes synthesis or it doesn't. SigmanticAI points fine-tuned models and reinforcement learning at exactly that pass/fail oracle.
Read →Two founders, 40-gram drones, and a serious idea hiding behind a joke: chemical-free mosquito control that identifies the female by its wingbeat and runs the whole signal chain on board.
Read →Instead of photographing thousands of defective parts, Bucket generates the vision model straight from CAD with synthetic data, so quality control is ready before production starts.
Read →An all-software, AI-based ISP that works on the sensor's RAW signal before it's degraded: +75% object detection and −91% false positives in low light, all at the edge.
Read →One non-invasive clip-on sensor plus a neural net that disaggregates the load, turning a single meter reading into appliance-by-appliance insight, and cutting bills ~20%.
Read →While everyone races for bigger models, an Indian startup is squeezing a voice assistant into a feature phone: offline, a few megabytes, 22 languages. The constraint is the feature.
Read →A team that started by building better weather balloons now out-forecasts agencies that have owned the field for decades, because the balloons and the AI feed each other.
Read →Most engineering software runs on a geometry kernel older than the people using it. Aurorin is rebuilding that load-bearing layer from scratch: AI-native, for modern hardware.
Read →A London startup puts AI cameras over recycling conveyor belts, turning an opaque plant into a measurable system: proof that the best vision work happens where nobody expected it.
Read →A ten-person Toronto team turns food waste into a polyester alternative, and the clever part isn't the chemistry: it's that it runs on the polyester machines that already exist.
Read →There's no single best headless CMS — only the right fit for the project. Here's how I decide between Payload, Sanity, and Strapi.
Read →Notes on building fast, scalable web applications with Next.js and headless CMS — the decisions, trade-offs, and lessons from real client work.
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