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Teen hackers who live streamed cyber-attack on TfL jailed

https://www.bbc.com/news/articles/c4gyg0y6yg2o
1•neversaydie•23s ago•0 comments

The Most Famous AI Writing Tic Is Also the Most Mysterious

https://www.theatlantic.com/technology/2026/07/ai-chatbot-writing-tic-negative-parallelism/687892/
1•rzk•49s ago•0 comments

A Place of Certainty

https://nedbatchelder.com/blog/202607/a_place_of_certainty
1•zoidb•1m ago•0 comments

Griddles – your new best word game

https://griddles.io/categories_new.html
1•fluidfernando•2m ago•0 comments

Code scanning shows AI security detections on pull requests

https://github.blog/changelog/2026-07-14-code-scanning-shows-ai-security-detections-on-pull-reque...
1•nyku•2m ago•0 comments

If AI Can Produce Everything, Who Buys Anything?

https://www.omrajguru.com/writings/postscarcity
1•omrajguru•2m ago•0 comments

BulkFileRenamer – A Windows app for batch renaming files

https://apps.microsoft.com/detail/9nl267vtkkmg?hl=en-US&gl=US
1•SolvyCode•3m ago•0 comments

Show HN: ClipTunes, string together trimmed YouTube video clips

https://cliptunes.app
2•jhedlund•4m ago•0 comments

Building for composable agentic services: nameIntel x402 via MCP

https://nameintel.io/
2•dudemanAtl•5m ago•1 comments

Sony Deletes a Bunch More Movies from the Accounts of People Who 'Bought' Them

https://www.techdirt.com/2026/07/15/sony-deletes-a-bunch-more-movies-from-the-accounts-of-people-...
3•nekusar•6m ago•0 comments

Never Been More Back

2•security1011015•7m ago•0 comments

Winners and losers in the coming AI margin collapse

https://martinalderson.com/posts/the-upcoming-ai-margin-collapse-part-2-winners-and-losers/
2•martinald•8m ago•0 comments

British Steel taken into public ownership to protect 'vital' UK supply

https://www.bbc.com/news/articles/c5y680w62wno
6•clarionbell•14m ago•0 comments

The Act and the Outcome of Creation

https://www.ssp.sh/blog/on-creation/
4•zazuke•14m ago•0 comments

SpaceX stock erases all its gains and slides below IPO price in intraday trading

https://www.latimes.com/business/story/2026-07-16/spacex-stock-erases-gains-slides-below-ipo-pric...
5•1vuio0pswjnm7•17m ago•0 comments

Regularer Expressions

https://furia.com/page.cgi?type=log&id=523
4•surprisetalk•19m ago•0 comments

The LLM Critics Are Right. I Use LLMs Anyway

https://www.theocharis.dev/blog/llm-critics-are-right-i-use-llms-anyway/
6•JeremyTheo•20m ago•0 comments

Let's Build PlanetScale from Scratch: Infrastructure

https://onatm.dev/2026/07/16/homescale-part-1/
4•onatm•21m ago•0 comments

Physicists create first room-temperature quantum material

https://phys.org/news/2026-07-physicists-room-temperature-quantum-material.html
3•smurda•21m ago•0 comments

Google and Epic give up fighting – third-party Android app stores are coming

https://www.theverge.com/policy/965792/google-epic-withdraw-injunction-third-party-app-stores-com...
3•pmontra•22m ago•0 comments

Apple sues OpenAI after ex-engineer allegedly used bug to steal trade secrets

https://arstechnica.com/tech-policy/2026/07/apple-sues-openai-after-ex-engineer-allegedly-used-bu...
3•rickdeckard•23m ago•1 comments

Brussels prepares fresh Google fines as Big Tech enforcement increases

https://www.ft.com/content/c5a880f1-aa6a-4336-b499-3ab95cf37857
3•1vuio0pswjnm7•24m ago•0 comments

Lessons from CISA's Cyber Incident

https://www.cisa.gov/news-events/news/lessons-cisas-cyber-incident
2•salmon•25m ago•0 comments

SpaceX sell-off wipes $1T from Elon Musk's rocket group

https://www.ft.com/content/94959f40-1874-4ece-b629-b18f43aa3ede
2•1vuio0pswjnm7•25m ago•0 comments

Show HN: Rackp – a protocol for deriving fault when AI agents cause incidents

https://github.com/rackp-io/rackp
2•rackp•26m ago•0 comments

Things you didn't know about indexes

https://jon.chrt.dev/2026/04/15/things-you-didnt-know-about-indexes.html
2•theanonymousone•28m ago•0 comments

Drake Anthony Recreates the Mechanical Bulb First Seen in 1675 – TechEBlog

https://www.techeblog.com/drake-anthony-styropyro-mechanical-bulb-barometric-light/
3•rbanffy•29m ago•0 comments

UK investigates TikTok over child safety measures

https://www.politico.eu/article/ofcom-investigates-tiktok-over-child-safety-measures/
2•giuliomagnifico•31m ago•0 comments

I learned to stop worrying and love ARINC 424

https://birdhalfbaked.com/how-i-learned-to-stop-worrying-and-love-arinc-424
2•CorvusCrypto•33m ago•1 comments

Chinese AI startup Moonshot to launch model challenging Anthropic's lead

https://www.ft.com/content/c6ecd8ce-c441-4d7c-aea6-fae3e28fb6ff
4•merksittich•33m ago•1 comments
Open in hackernews

Show HN: Effort Lab – Same running pace, different heart rate zones

https://www.motraapp.com/effort-lab
2•timmonty•1h ago
Hi HN,

If you are into fitness, I hope you’ll find this interesting.

I’ve been building a fitness app around a question that ordinary activity summaries and fitness apps don’t answer particularly well:

“How hard did this session ask my body to work?”

Imagine two friends running a 5K together at 5:30/km. Same route, same distance and the same 27:30 finish time.

In the synthetic example linked here, they even have the same average heart rate. Most fitness apps would treat those runs as virtually identical. However, relative to their individual profiles, Alex is working at 69% of his current maximum heart rate—Zone 2—while Sam is at 82%, which places him in Zone 4.

I built a quick interactive page based on that thought experiment. Move the pace control between 3:00 and 7:00/km and watch the same external output place each runner in different personal heart-rate zones.

I’m not suggesting that training raises maximum heart rate, (that is a far more nuanced debate). What is clear is that each person has their own maximum heart rate and corresponding heart-rate zones.

The actual MOTRA app does not calculate effort from pace or a single average-heart-rate value. It begins with the age-based estimate:

211 − 0.64 × age

It then quickly adapts that profile using the user’s workout history.

Without going into the full detail, the algorithm analyses every heart-rate sample alongside pace, distance, elevation, duration, activity type and the user’s historical baseline. Rather than comparing the user against a standardised baseline, it attempts to determine how hard that individual is actually working at each moment and estimate their true maximum heart rate.

In testing, our algorithm has been quicker and more accurate than competitors at identifying a user’s actual maximum heart rate, verified through maximum-heart-rate testing.

Once we have established the user’s zones, every recorded heart-rate sample can be placed within their personal zones. Time spent in each zone is then weighted and converted into Effort Points.

The current weights are:

Z1: 0 EP/min Z2: 1 EP/min Z3: 1.5 EP/min Z4: 3 EP/min Z5: 5 EP/min

This is intended to provide a more accurate estimate of cardiovascular load, which MOTRA uses as its primary metric for recognising and rewarding a user’s effort.

I’m mainly looking for discussion, criticism and input that could help us improve it. I’ll be around and happy to share more implementation details.

Comments

arda-koc•58m ago
Love the landing page!
timmonty•27m ago
Thank you, I cant take much credit for the design system. My co-founder and best friend Martin heads up branding and design.