Hacker News

Article URL: https://crowdhailer.me/2026-07-15/abstracting-effects-with-continuations/

Comments URL: https://news.ycombinator.com/item?id=48932799

Points: 1

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Comments URL: https://news.ycombinator.com/item?id=48932790

Points: 1

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Article URL: https://musklr.com/blog/2026/iphone-lock-screen-workout-tracking-live-activity/

Comments URL: https://news.ycombinator.com/item?id=48932784

Points: 1

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Article URL: https://blog.guillaume-gomez.fr/articles/2026-07-13+crates.io+front-end+and+its+issue(s)

Comments URL: https://news.ycombinator.com/item?id=48932772

Points: 1

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Article URL: https://en.wikipedia.org/wiki/Computer_Online_Forensic_Evidence_Extractor

Comments URL: https://news.ycombinator.com/item?id=48932763

Points: 1

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Article URL: https://support.google.com/googleplay/android-developer/answer/17118006?hl=en

Comments URL: https://news.ycombinator.com/item?id=48932753

Points: 1

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Article URL: https://www.seangoedecke.com/wicked-features/

Comments URL: https://news.ycombinator.com/item?id=48932749

Points: 1

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Article URL: https://www.youtube.com/watch?v=h02divcjYcc

Comments URL: https://news.ycombinator.com/item?id=48932748

Points: 1

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Article URL: https://www.biorxiv.org/content/10.1101/2025.07.26.666979v3

Comments URL: https://news.ycombinator.com/item?id=48932741

Points: 2

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Article URL: https://lewiscampbell.tech/blog/260713.html

Comments URL: https://news.ycombinator.com/item?id=48932715

Points: 2

# Comments: 0

When I started triathlon in 2018, my “training plan” was writing down what I did in Apple Notes and watching YouTube for advice. Later, training for my first full-distance IRONMAN, I paid a coach 130eur/month with the goal to learn early so I could self-coach later. When I switched to a static plan (bought a 40-week one I’d reuse), I started spending 20-30min every Sunday reshuffling sessions around work, travel and private commitments.

In early 2025, training for the 70.3 IRONMAN World Championship, I figured AI would finally fix my biggest pain point: automatically adapting my zones and plan from my activity data. But nothing out there did, and I was reluctant to build it myself (I was determined to build in B2B). A year later, once LLMs had improved a lot, I handed my Sunday planning to Claude, and it worked far better than I expected. Friends wanted to try, so I started shipping it to them.

Hundreds of commits later, I believe the thing that matters most is the data layer. Most “AI coaches” smell like AI slop from a mile away (more often than not, just a ChatGPT wrapper designed in lovable). Not saying our landing page isn’t detectable as Claude-generated, but the core has always been proper integration of wearable and app data (Garmin, Whoop, Hevy, Zwift…) - our core product is essentially an MCP server.

Also, we don’t think the future is apps built for millions (n=∞), but custom (n=1) or conversational products. So we now solve for both: direct MCP access so you can build your own dashboards in your preferred tools, and a coach on iMessage that proactively writes and adapts your plan from your activity and recovery data (it reads 20+ wearables and apps) plus your preferences. Founder tip: connect your calendar, so it picks up travel/commitments automatically.

As a bootstrapped consumer startup, our biggest challenge is pricing (we charge yearly/monthly subscription): consumsers still expect a flat subscription, but our marginal cost is per-message inference. Curious to hear how others handle variable costs in an environment where old (subscription) habits prevail. And what your thoughts are on the future of apps!!

Comments URL: https://news.ycombinator.com/item?id=48932703

Points: 2

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Article URL: https://ganttchartmaker.app/

Comments URL: https://news.ycombinator.com/item?id=48932700

Points: 1

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Article URL: https://ente.com/open/

Comments URL: https://news.ycombinator.com/item?id=48932697

Points: 1

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Hey all,

Over the past year I noticed I was maintaining the same AI workflows in multiple AI tools such as Claude code and Codex.

Whenever I improved one workflow, I had to remember everywhere else I'd copied it and most of the time I didn't... so I quickly went the "dotfiles" route where I symlinked everything together. Then I thought, this works for me since I'm used to my CLI but others might not have such a good time.

Had a few talks with people, had some discussions, and in the end I ended up building Skillful.

Instead of treating prompts or skills as something that lives inside a single AI tool, Skillful treats them as ordinary folders on disk. A skill consists of a SKILL.md or AGENT.md together with whatever else it needs, examples, scripts, screenshots, documentation, etc.

The application lets you:

- manage everything from one local library - install the same workflow into multiple AI tools using links instead of copies - Sync your library to multiple computers with Github - import public GitHub repositories containing skills - detect and repair broken installs

Everything stays on YOUR machine. There are NO accounts, NO telemetry, and NO backend. It's essentially a GUI around a filesystem with symlinks, because I wanted the files to remain useful even if the application disappeared one day.

I also started an "awesome" repository with reusable skill packs that anyone can publish or contribute to:

https://github.com/Mastermindzh/awesome-skillful

I'd love feedback on a few things:

Does the "one source, many AI tools" approach make sense for you too? Would you rather manage these as plain Git repositories? What AI tools should be supported next? If you already use reusable skills, how are you organising them today?

Looking forward to hearing what you think!

PS: I know that Vercel Labs also built `npx skills` whilst I was building Skillful, I think of this as an alternative :P

Comments URL: https://news.ycombinator.com/item?id=48932688

Points: 1

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Article URL: https://idiallo.com/blog/deleting-systems-you-dont-understand

Comments URL: https://news.ycombinator.com/item?id=48932657

Points: 1

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Article URL: https://www.wsj.com/lifestyle/careers/ai-knows-what-you-did-online-now-your-employer-does-too-49796adc

Comments URL: https://news.ycombinator.com/item?id=48932611

Points: 4

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Article URL: https://vibeflirting.com/

Comments URL: https://news.ycombinator.com/item?id=48932603

Points: 1

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Article URL: https://github.com/Senaraufi/Security-Log-Analyser

Comments URL: https://news.ycombinator.com/item?id=48932600

Points: 1

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Article URL: https://keyline.sh/

Comments URL: https://news.ycombinator.com/item?id=48932384

Points: 1

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Article URL: https://www.bloomberg.com/news/articles/2026-07-16/tsmc-beats-lofty-estimates-in-latest-sign-of-sustained-ai-demand

Comments URL: https://news.ycombinator.com/item?id=48932380

Points: 1

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