My Board Dashboard – MCU Boards from the Browser

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I’ve been tinkering on a small side project: a web dashboard that lets you plug a board into your laptop and get an instant serial monitor + real-time plots. No IDE, no driver hunt—just Chrome/Edge and a USB cable. - Built mainly for people who occasionally need to check an Arduino/Teensy/Rpi etc. (engineers outside firmware teams, workshop hosts, makers on the go). - Shows serial logs, lets you send quick commands, plots any numeric streams automatically, and even flashes a precompiled firmware without leaving the page. - Currently very beta: battle-tested only on a Teensy 4.0 so far. It should work with Arduino UNO and friends, but I haven’t had the chance to test every combination yet—expect rough edges. - The plan is to expand compatibility (ESP32/ESP8266, more upload backends) and maybe one day offer browser- based compilation/upload for non-specialists. If you don’t have a board handy yet, click “Run Demo” for a full tour of the serial monitor and plotter :) If that sounds useful—or you just want to smash it until it breaks—try it here: https://nodeloop.org/projects/my-board-dashboard/ Feedback and bug reports are more than welcome!

Visit product View on Hacker NewsSep 24, 2025

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

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68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, occasional · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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