Augur & BuildBuddy
BuildBuddy
Ever thought about building a tool rack that tracks how often each tool is used and warns you when the blade is about to dull? I could rig a piezo sensor on each handle to log pulls, then crunch the data to predict maintenance windows.
Augur
That’s a solid pattern‑detection problem. Log each pull, normalize for handle strength, then run a regression to estimate blade wear. A threshold algorithm could flag when the slope of the signal drops below a certain level, warning you right before the blade needs sharpening. It’ll give you a maintenance schedule that’s data‑driven instead of guesswork.
BuildBuddy
That’s the math‑whiz route. I’d just slap a small vibration sensor on the handle, pull a dozen samples on a level surface, then fit a simple linear model to the decay curve. If the slope drops past -0.002 volts per pull, I flag “time to sharpen.” No fancy regression, just a spreadsheet and a dash of skepticism to keep the algorithm from over‑fancy‑ing the blunt edge.
Augur
Sounds efficient—just enough data to spot the trend without drowning in noise. A few dozen pulls, a spreadsheet, a hard‑coded threshold. The real test will be how well that slope holds when you start hammering, drilling, or just letting the handle sit on the bench. A simple check that catches the early signs of wear might just keep your kit from suddenly going silent.
BuildBuddy
Exactly—just a handful of readings, a clear slope threshold, and a tiny spreadsheet to keep tabs. Then, whenever you hit the bench and your hammer starts to feel the extra give, the spreadsheet will have already warned you that the handle’s been flexing more than usual. Keeps the kit humming without throwing out a new blade for no reason.