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escapecharacter

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Which sports are you into? I'll be looking for closed alpha testers shortly. Email me at dustin at hyperpan.cv

Automatically drawing hint lines has been a request from a few people. When I talk to personal trainers or athletes (new or serious) in various sports, I've tested out this concept by asking them what they'd want drawn. Turns out, it's so contextual, opinionated and subjective, I don't think there's a great approach unless I assume we have an unrealistic amount of context.

e.g., one case is kettlebell swings. You might want to see how consistent your swings are in a set, and between sets. To do this well, you'd need to reliably detect the kettlebell swing exercise using some N-way classifier. And then, correct for camera position. And then, center the relevant part of the body (is this shoulder? hips? turns out people have different opinions).

Instead, we're going to use a more generic visualization approach that doesn't try to be opinionated. But, I'm expecting to open-source the visualization front-end so it's tweakable by users.

Input: video of an exercise/workout/dance. Output: single collage image as summary.

Me+team have been working on a large scope problem this past year. We're hardening some of our internal tools, and choose this small-scope problem about a month ago. Results have been encouraging so far, though not yet non-sloppy enough to share. We'll release in about a month.

Going into this, I thought I'd be spending most of my time tuning computer vision. Instead, the majority of the time has been handling codec and ffmpeg behaviour edge cases.

I’m working on a product related to “sensemaking”. And I’m using this abstract, academic term on purpose to highlight the emotional experience, rather than “analysis” or “understanding”.

It is a constant lure products and tools have to create the feeling of sensemaking. People want (pejorative) tools that show visualizations or summaries, without thinking about the particular visual/summary artifact is useful, actionable or accurate!

I've had trouble finding case studies of B2B development deals. My past experience includes lots of milestone-based development as a contracted solo dev.

Now, I'm bootstrapping (in stealth) a B2B service with 3 employees. The basic service exists. To continue funding, I can get VC investment, or I can get business customers to pay up-front development costs, to customize to their use case.

Let's say for a normal customer, the service costs $X / month. I want to write a deal with a business customer where they pay $Y up front, for us to build the service for their use case. Maybe in return, we discount their usage cost: * their cost is $ 0.5 * X per month for Y/X months, OR * their cost is $ 0.5 * X per month for (1.5 * Y/X) months (like a loan with interest), OR * their cost is $ 0.7 * X in perpetuity (permanent discount), OR * no discount at all, and we the cost to the customer as early access.

This is an odd take that might seem privileged, but: sales or coupons. Digital or physical.

If a company is offering a discount, sale, coupon, etc., they've done the math and determined the reduction in revenue to them is offset by your increased likelihood to purchase, or share in your mind. (Algorithmic) discounts are a technology in the sense that they're part of modern data science-driven consumerism. Just like going to a casino, the house is always going to win. So, I offer no mind share to these. I've bought many games from Steam sales I don't play, for an innocuous example.

I'm not going to throw out a coupon if it's thrust into my hand (e.g. Wonderville, a gaming bar I love in Brooklyn hands out wooden drink tickets and one is in my wallet.)