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They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
1•breve•47s ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•3m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•3m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•4m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
1•birdculture•9m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•15m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•16m ago•1 comments

Slop News - HN front page right now hallucinated as 100% AI SLOP

https://slop-news.pages.dev/slop-news
1•keepamovin•21m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•23m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•29m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•32m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•33m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•36m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•38m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•39m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•42m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
3•myk-e•44m ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•45m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
4•1vuio0pswjnm7•47m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•49m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•51m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•54m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•59m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•1h ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments
Open in hackernews

Show HN: MTOR – A free, local-first PWA to automate workout progression

https://mtor.club/
7•vmcallsm•3mo ago
Hi HN,

My motivation for this came from frustration with existing workout trackers. Most felt clunky, hid core features like performance graphs behind a paywall, or forced a native app download. A few people close to me who take their training seriously shared the same sentiment, so I decided to build my own.

I'm working on mTOR, a free, science-based workout tracker I built to automate progressive overload. It's a local-first PWA that works completely offline, syncs encrypted between your devices using passwordless passkeys, and allows for plan sharing via a simple link.

The core idea is to make progression easier to track and follow. After a workout, it analyzes your performance (weight, reps, and RIR), highlights new personal records (PRs), and generates specific targets for your next session. It also reviews your entire program to provide scientific analysis on weekly volume, frequency, and recovery for each muscle group. This gets displayed visually on an anatomy model to help you learn which muscles are involved, and you can track your gains over time with historical performance charts for each exercise.

During a workout, you get a total session timer, an automatic rest timer, and can see your performance from the last session for a clear target to beat. It automatically advances to the next incomplete exercise, and when you need to swap an exercise, it provides context-aware alternatives targeting the same muscles.

It's also deeply customizable:

* The UI has a dark theme, supports multiple languages (English, Spanish, German), lets you adjust the UI scale, and toggle the visibility of detailed muscle names, exercise types, historical performance badges, and a full history card. * You can set global defaults for weight units (kg/lbs), rest times, and plan targets, or enable/disable metrics like Reps in Reserve (RIR) and estimated 1-Rep Max. The exercise library can be filtered by your available equipment, you can create your own custom exercises with global notes, and there's a built-in weight plate calculator. * The progression system lets you define default rep ranges and RIR targets, or create specific overrides for different lifts (e.g., a 3-5 rep range for strength, 10-15 for accessories). * Editing is flexible: you can drag-and-drop to reorder days, exercises, and sets, duplicate workout days, track unilateral exercises (left/right side), and enter data with a quick wheel picker.

I'll be here all day to answer questions. I'm also thinking about making the project open-source down the line and would be curious to hear any thoughts on that. Thanks for checking it out!

Comments

yodon•3mo ago
A video (screen cap is fine) would help enormously in enabling visitors to understand and assess your app