Build Circuits From the Parts You Have
Photograph the components you have and describe what you want to build to receive a wiring diagram, firmware, and alternative approaches that can be verified one photo at a time.
When a maker wants to build a small device that lights an LED, reads temperature, or responds to a button press, they first photograph the development boards, sensors, resistors, and wires on their desk, then describe the goal in a sentence. The product identifies component models, pinouts, and available quantities. If a model is unclear, it asks for a closer photo of the markings or both sides before drawing a design, establishing what is actually available first.
It generates a low-voltage breadboard wiring diagram around those parts, along with matching firmware and a step-by-step power-up procedure. Each step asks the user to connect only a few wires—for example, the power supply and current-limiting resistor first—then upload a photo. The image flags a wrong pin, reversed polarity, or unsuitable resistance value, and the user moves on only after that step passes.
Once the wiring is complete, the app accepts serial output, multimeter readings, or a short video to check whether the LED blinks as expected and whether sensor readings are plausible. When a component is missing, it first looks for an alternative wiring approach using the parts already available and explains what functionality would be lost, rather than simply producing a long shopping list.
The initial release supports Arduino-class boards, common sensors, and small projects operating at 5V or below. Mains power, high-power motors, battery charging, and medical uses are blocked from the workflow, with the page directing users to qualified professionals instead.
Why now
When observed on July 29, EasyCircuit ranked sixth in Product Hunt’s new-product feed, bringing natural-language hardware prototyping into that day’s discovery flow. S1 Its focus on automatic component selection and kits highlights a distinct practical obstacle: users already have parts but cannot confirm their models, substitutions, or real-world wiring. S2
Target user
Beginners with an Arduino starter kit or a box of loose modules whose model numbers they no longer remember. They often start a small weekend project only to find that a tutorial calls for different parts than the ones they have. Looking up datasheets at that point can break momentum, while guessing at connections can damage components. Verifying inventory and wiring step by step lets them prototype with what they already own.
Minimal entry point
Start with a constrained component catalog covering common Arduino boards, LEDs, resistors, buttons, and a small set of sensors. Photo object detection and text recognition must resolve to a specific catalog model. When confidence is low, the product does not generate a circuit; it specifies which marking or angle needs another photo. The design layer uses structured netlists and rules to check voltage, polarity, current limiting, and pin conflicts. Firmware is compiled with Arduino CLI so the product does not deliver code that fails to build. S4 Wiring diagrams are rendered as small steps, and each uploaded photo is compared only against the new connections in that step.
Punching above its weight
Acquire early users through Arduino forums, maker communities, and introductory electronics courses. Short end-to-end videos showing real desk parts becoming a working project will be more persuasive than a generation interface. Create searchable cases around specific failures, such as an LED that will not light or abnormal sensor readings. Anonymized collections of common wiring-error photos can steadily improve recognition and guidance quality.
Competitors & gaps
- EasyCircuitGoogle
- EasyCircuit already converts natural-language requirements into editable schematics, automatically selects and procures components, and splits builds into breadboard validation and perfboard soldering to reduce the cost of beginner soldering mistakes. S2 Its main flow, however, starts by purchasing a defined set of parts. For someone with a box of older modules, the key question is whether the models, quantities, and pinouts already on hand can meet the goal. Its official materials also do not show each wiring step being checked against photos of the physical build. The opening is to inventory the parts on the desk first, then recalculate the design around what is available. Photo-checking each small completed step can also catch shifted breadboard holes, module-version differences, and reversed polarity that simulation cannot detect.
- WokwiGoogle
- Wokwi is a browser-based electronics simulator supporting Arduino, ESP32, STM32, and other development boards. Users can run firmware, inspect serial output, and analyze digital signals such as UART, I2C, and SPI. S3 It is useful for validating code without physical hardware and separating software issues from hardware issues. Its core resource is a set of virtual components that can be added freely, rather than the user’s real inventory. Correct virtual wiring does not prove that wires on a breadboard occupy the same row. It does not confirm module markings, resistor color-band values, or component orientation from photos. The opportunity is to carry designs before and after simulation into a physical build process that can be verified step by step.
How it makes money
Monthly subscription. The free tier covers a limited number of basic projects; paid plans unlock more projects, component-recognition records, firmware versions, and troubleshooting history.
The case against
A mistaken component identification propagates through every later pinout, code, and wiring instruction. Similar-looking parts from different manufacturers may have different pin orders or onboard resistors. Breadboard holes, occlusion, and cluttered wires can also cause frequent false positives in photo-based wiring checks. If users are repeatedly asked for more photos, they will quickly return to tutorials and manual troubleshooting. Worse, missing a short circuit or polarity mistake would directly undermine safety trust. Before launch, the product needs a large set of photos from real builds, a strict support list, and conservative blocking rules, all of which substantially raise maintenance costs.