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Show HN: Convert your articles into videos in one click

https://vidinie.com/
1•kositheastro•31s ago•0 comments

Red Queen's Race

https://en.wikipedia.org/wiki/Red_Queen%27s_race
2•rzk•45s ago•0 comments

The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
2•gozzoo•3m ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•3m ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
2•tosh•4m ago•0 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•5m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•10m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•12m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•15m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•16m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
1•michalpleban•17m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•18m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
1•mitchbob•18m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•19m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•19m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•22m ago•0 comments

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

https://bsod-fas.pages.dev/
1•keepamovin•26m ago•0 comments

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

https://orcha.nl
1•buildingwdavid•26m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•31m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•32m ago•0 comments

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

https://github.com/Concode0/Versor
1•concode0•33m ago•1 comments

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

https://medresearch-ai.org/hypotheses-hub/
1•panossk•36m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•38m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•38m ago•0 comments

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

1•doodledood•39m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•39m 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•41m ago•2 comments

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

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•42m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•45m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•47m ago•0 comments
Open in hackernews

SafeShare – strip tracking parameters from links before you share them

https://github.com/J-AI-71/Supersystem
3•safeshare•2mo ago

Comments

safeshare•2mo ago
I built a tiny browser-based tool called SafeShare. You paste a URL, it removes common tracking parameters (utm_source, gclid, fbclid, etc.), tries to unwrap obvious redirect parameters (url=, redirect=, u=…), and shows you a cleaner link to share.

There is no login, no accounts, no tracking cookies – it runs as a simple web app on GitHub Pages and processes links locally in the browser.

It’s intentionally limited to “link hygiene” and transparency: – It’s not a full security scanner. – It does not follow every redirect hop across the network. – It focuses on cleaning links you want to share (mail, messenger, newsletter, social), not on doing deep inspection. App: https://j-ai-71.github.io/Supersystem/app.html Code: https://github.com/j-ai-71/Supersystem

I’d be happy about feedback from this crowd: – Would you actually use a tool like this in your own workflow? – Which parameters or patterns would you expect it to handle that it doesn’t yet? – Is the UX clear enough, or is something confusing/over-engineered?

Any comments, criticism or “this is useless, but here’s what would be useful instead” are welcome.

chasing0entropy•2mo ago
Neat, I remove all POST strings as a habit; I probably mistakenly assume most intermediate skill users would also. Using a webpage to do so would be helpful for more complicated links where the url POST data includes the content ID in one of the strings

I would imagine what you have would be far more useful to HN folks if you add some type of attribution system - meaning parse the URL, identity the tracking strings, and then tell the user what each string one does.

Then let the use check a radio box to re-appeand the desired tracking string to the url(. Maybe add the option to edit the string?

safeshare•2mo ago
Thanks a lot for the thoughtful comment.

You’re right that for many HN folks the interesting part is not just “make the URL shorter”, but understanding what is being removed and being able to keep / edit specific bits. Right now SafeShare is deliberately “dumb & small”: it only sees the URL string in the address bar and strips parameters that match a simple list/heuristic (UTM, gclid, fbclid, some obvious redirect params etc.). It doesn’t look at the request method – so it’s really working on query strings, not HTTP POST bodies.

I like your idea of an attribution / explanation layer, e.g.: • parse the URL and list detected tracking params, • show a short label for each (utm_source → source, campaign attribution, etc.), • let the user tick which ones to keep/remove, maybe even edit values, • then regenerate the final URL.

That would probably live as an “advanced” or “details” view so that the default flow stays as simple as: paste → clean → copy/open.

I’ll experiment with a prototype of that – even just a “show what was removed and why” panel would already be a useful first step. Thanks again for pushing me in that direction.

safeshare•2mo ago
If you have a few real-world URLs where you’d want to keep/edit specific params, I’d be happy to use them as test cases.