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Obey the Testing Goat

https://www.obeythetestinggoat.com/
1•mkl95•51s ago•0 comments

Claude Opus 4.6 extends LLM pareto frontier

https://michaelshi.me/pareto/
1•mikeshi42•1m ago•0 comments

Brute Force Colors (2022)

https://arnaud-carre.github.io/2022-12-30-amiga-ham/
1•erickhill•4m ago•0 comments

Google Translate apparently vulnerable to prompt injection

https://www.lesswrong.com/posts/tAh2keDNEEHMXvLvz/prompt-injection-in-google-translate-reveals-ba...
1•julkali•4m ago•0 comments

(Bsky thread) "This turns the maintainer into an unwitting vibe coder"

https://bsky.app/profile/fullmoon.id/post/3meadfaulhk2s
1•todsacerdoti•5m ago•0 comments

Software development is undergoing a Renaissance in front of our eyes

https://twitter.com/gdb/status/2019566641491963946
1•tosh•5m ago•0 comments

Can you beat ensloppification? I made a quiz for Wikipedia's Signs of AI Writing

https://tryward.app/aiquiz
1•bennydog224•7m ago•1 comments

Spec-Driven Design with Kiro: Lessons from Seddle

https://medium.com/@dustin_44710/spec-driven-design-with-kiro-lessons-from-seddle-9320ef18a61f
1•nslog•7m ago•0 comments

Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•8m ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•8m ago•0 comments

Free data transfer out to internet when moving out of AWS (2024)

https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-internet-when-moving-out-of-aws/
1•tosh•9m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•alwillis•10m ago•0 comments

Prejudice Against Leprosy

https://text.npr.org/g-s1-108321
1•hi41•11m ago•0 comments

Slint: Cross Platform UI Library

https://slint.dev/
1•Palmik•15m ago•0 comments

AI and Education: Generative AI and the Future of Critical Thinking

https://www.youtube.com/watch?v=k7PvscqGD24
1•nyc111•15m ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•16m ago•0 comments

Moltbook isn't real but it can still hurt you

https://12gramsofcarbon.com/p/tech-things-moltbook-isnt-real-but
1•theahura•20m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•20m ago•0 comments

Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•21m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
2•samuel246•24m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•24m ago•0 comments

Abstractions Are in the Eye of the Beholder

https://software.rajivprab.com/2019/08/29/abstractions-are-in-the-eye-of-the-beholder/
2•whack•25m ago•0 comments

Show HN: Routed Attention – 75-99% savings by routing between O(N) and O(N²)

https://zenodo.org/records/18518956
1•MikeBee•25m ago•0 comments

We didn't ask for this internet – Ezra Klein show [video]

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•26m ago•0 comments

The Real AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
2•geox•28m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•28m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
3•jerpint•29m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•31m ago•0 comments

Show HN: I'm 15 and built a free tool for reading ancient texts.

https://the-lexicon-project.netlify.app/
5•breadwithjam•33m ago•2 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•34m ago•0 comments
Open in hackernews

Show HN: An offline first, with state-in-URL, workout planning and tracking app

https://mateuszitelli.github.io/trainlink/#2nZfbbts4EIbfhdcuwPPBd0n2VKCLFk3vFoWg2GosrCNnJbntIsi775BDnWjLsRa9MMKS3wxn_hmOXsh3suYr8kzWL2RL1n-9kIqsyafjfk9WpIAFcpvXD8V-n_1S5Nt9-a2F9Y9V8e6mfsruy20xXv_wb1k9Zh-Kx-zuWO8bWPkjrx67tc952RSw9mVXPu6ym-32uGkPNfn6uuqMNrvU6G_gSHb_zzH3-G7xtqg2u-xTXTRN9i77s9iWx6fs97p89i6AoV9_tkXVlIfKexCtPURrA-V9tdmXVXGB1nsGd_Wo4Fl37H1VFXV2W26K5yZcFzbc5Q_7Ivt8eC6yj9-LegeRyb7UuKV3yu87VJuiauu8hb_7WHU7fRy2hx8VeBNQN22bb3ZPcAA23bd5tfURvcv33zCkDTgKrpJdSF9L1nRFSvD6TOJ-kjUz2ijlpHBawMa_If3ws4H_UCvyg6yNXXkhwNqRrKXwIbgSqZixVAekRiSggMgkkHuk4AuQWnOtWUAyOmF6C8AE6QJTswVMy7nzp0-YnMrABHuemVx9TvMdWDOuuIzOTkNq0Ve8v13MFYILIQLXZ8xz4Qe4WpgRWOulYKcd5eAigCWC0V_Jx4FwSXDf5HLhOMADVyEXeCHA46RJOuWeNo-BqBznLIYAfBxCoCZqNVPiueYzMLWiyoArwDSg2oFpwfX-9ku8NFBTCokSGEAErherQCLeW7glXlpjrcEcdV4CBqAOY4leqkRUl7yErDMFCfFeAmokJ2D1Xiq5wEtBuXMG89N5iRKKsK7mwcLokJDcJeG91F3jSQ11yozU2Gl8NIYrGLxClEMS6Gu788iOtVxjqHwpj2QXlRwNJRVy3SWcNU7E3jbRn8NLxDaUsBdfglFQkI-Sb0uTSzhsy1HnSbCuugODPHATeylU4qB4_w707LTlLb8DN84paHbTOwzyP9WXP2QVZ-r8yzCZK-IRQwWlVHgNjVo4xgpAo4SbJFhvUOGwkBCe4WGM1GCrvwWbexpnsMrCP3TWvzCjxGrsilh8NnkXLlOlUsLFV3xKFV6ss0_uydw1EK2FThvb4qRamUCVxPcg8XOeqCinkGEMKHSdEdH_2QdUpL17nsis7JqihZ_RrfmEmHTFC0RFtfV5AKIv6KFxx8klKtdOgclsPAZamFZ80_faxFrrtGnH2mTJIzhP1NQpkPuZMMb3KgLZ1T7CrCJlnK1GxAHV1c1Qp3CICwZv8XmRXhr1O4KjEhSrcOCYli3zguvNz_SC62xowaWNwZq2hlhtaMMlCllmxFFqveCG4sPRVNJx7SX5WGSCCcpE7Brd-IvTGbQfDBYq08w0o7c_m0bWuObc-oI6mYmjraiLmaAttCVBzqiCaYaYwwzFNjvzsbDMmJWCqzjxoDHQhrcVJ9Lz5f2_bMGrxARD6UVVYE9CNZgueENRWahDxRwVr19XpPGf9nn3fQ3fibVfOPlECt8WycdyiOP5eT9sT8fMsH9-cgj5uO7xD1vPvFTBQtJ1w1rSlMLa24URbnF9UoD6-vof
2•mzitelli•1mo ago
After getting frustrated with existing workout planning and tracking apps, I decided to build my own with the following requirements:

- allow tracking weight, reps, difficulty per series - being flexible, so I have my plan, but can adapt without having to change my original plan - it surfaces the relevant context when needed - it adapts to my trains - i can access it anywhere - don't let me get distracted - low maintenance

I decided to solve that with an app with the following user flow:

- you plan workout days with exercises in order, no weights, supersets, or anything, that will be detected and defined as you train - when working out, you select an exercise, put the desired weight, reps, rest time, and start one set - when done with the set, mark its difficulty - a sound will ring when your rest time ends - as you go, and have a history of exercises, the app automatically suggests the next exercise, weights, reps, and resting time based on a few heuristics - you can always select another exercise from the day, from another day, or even search for a completely different exercise

The app includes the entire state in the URL, so no server is required. We use the amazing https://github.com/yuhonas/free-exercise-db. Big kudos to the creators! In the end, the entire site and DB are hosted by GitHub.

The URL is from my current usage. You can view my daily plans and previous sessions there. In the plans, you can click on exercises to see suggestions based on previous sessions.

All edits you make will alter the URL and be saved in local storage. When you return to https://mateuszitelli.github.io/trainlink/, the page restores its previous state.

It has been very pleasant to use it in the last few days. Please, try it and let me know what you think. You can find the source code here: https://github.com/MateusZitelli/trainlink