frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•17s ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•45s ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•4m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•7m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•7m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•12m ago•0 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•13m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•14m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•17m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•20m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•20m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•20m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•20m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•22m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•24m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•26m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•28m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•28m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•29m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•32m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
5•sakanakana00•35m ago•1 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•37m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•38m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•39m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•40m ago•6 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•43m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•46m ago•1 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•49m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•50m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•55m ago•1 comments
Open in hackernews

Supercomp is the ChatGPT for fitness programs

https://www.supercomp.app
1•smiru•2w ago

Comments

smiru•2w ago
Why would you waste time everyday prompting chatgpt to give you meals or ask what to do each day, why not just generate once for 24 weeks and forget about it. Focus on following a plan than trying to create one that doesn't work. Why pay for tools like Cal AI to just count macros, what about your cardio? water intake? Resistance training? What about your meals and recipes? How about a grocery list for each week with a price breakdown? Supercomp handles all this so you don't ever have to guess.
eudamoniac•2w ago
Workout plans do not need to be tailored. There are one or two dozen of them that are basically optimal for what they do, and everyone should just do those, including women and old people. Tailoring them to a random person's specifications is just going to make them worse 99% of the time, because if those modifications were effective they'd be part of the program, and because a random person will be modifying them mostly to make it easier for themselves. If there was an easy way of getting fit, people wouldn't be so fat; generally if you have chosen an easy fitness program, you are going to remain fat.

Just pick a program and do the program. Using a GPT program is worse than useless; it is going to waste a bunch of man hours.

You could rephrase this program as "this takes optimal training routines and changes them to fit what uninformed people would rather do because it's easier" which is just a bad outcome.

smiru•2w ago
I think the concept might’ve been misunderstood. Supercomp isn’t trying to replace personal trainers or proper workout routines — it’s a fitness program generator that gives people structure and a full overview of what actually matters. Most of us start out just going to the gym without a real plan. I used to do that too — I’d follow a push/pull/legs split, go consistently for months, and still see no results. The problem wasn’t effort; it was that I was guessing everything. I didn’t know my calorie intake, never tracked my macros, barely did any cardio, and had no idea how all these things worked together. That’s what Supercomp fixes. It lays out everything you need in one place. For each day of your plan, you know exactly what’s expected of you — your workouts, meals, macros, cardio, water intake, even meal logging. It takes the confusion out of the process and shows you the full picture. I’ve been using one of my own plans for three months now and have dropped 8 kg. Not because I built some magic tool, but because it’s based on research, real data, and structure. For me, having everything I needed to transform my body in one place made all the difference.
eudamoniac•2w ago
First of all there are already myriad existing good programs that are laid out and tell you what to do. They literally do everything you just said, in a spreadsheet or text file.

Second of all your response is AI slop so I'm not putting any additional effort or elaboration into my comment, since you declined to.

smiru•2w ago
It was genuinely not AI slop. That was me. I would also love if you could share the myriad program example, I don't even know how a regular Joe would know how to navigate to know that a "myriad" program is good for them.

Another thing is the spreadsheet. No one has time to navigate through spreadsheets. That's why apps exist. That's the whole point of user interfaces, to make it easier for users to access things quick and easy.

Also, do you know how difficult it is to calculate macros? An AI guesstimation is way more accurate than a regular human being that has no nutritional knowledge trying to guess the macros in each meal by eyeballing.

smiru•2w ago
Alright, let's put it this way, I am a newbie, 73kg, 173cm height, I don't know my bf%, I just assume going to the gym is all I need to get an aesthetic physique. What is your suggestion for the best path I should take?