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

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

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•3m ago•0 comments

I replaced the front page with AI slop and honestly it's an improvement

https://slop-news.pages.dev/slop-news
1•keepamovin•7m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•9m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
1•tosh•15m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
2•oxxoxoxooo•19m ago•1 comments

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

2•InvoxoEU•19m 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•23m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•24m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•26m 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•28m 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
2•myk-e•31m ago•4 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•32m 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•34m 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•35m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•37m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•40m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•45m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•47m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•50m 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

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments
Open in hackernews

I built the "package manager" for your icons (one source → consistent outputs)

2•Theryston•1mo ago
This weekend I started building Iconoma because I kept hitting the same problem across projects:

Icons slowly turn into a junk drawer. Random SVGs with inconsistent sizes, weird fills, different naming, different optimization rules, and every app/team ends up re-solving the same cleanup work. The result is death by a thousand tiny UI cuts.

My vision: icons should be boring infrastructure — one source of truth, deterministic outputs, zero “why is this icon different?” surprises.

## What Iconoma does

- Imports and organizes icons with consistent naming + tags - Runs SVGO with your customizable config (so your rules are enforced, not “whatever the last person did”) - Generates targets automatically from the same source: - optimized SVG - React components - React Native components - Keeps things reproducible (so you can detect when a source changed and rebuild only what’s needed)

How you try it: npx @iconoma/cli studio

## Why I think this matters

When icons aren’t standardized, you pay forever: UI inconsistencies, PR churn, weird rendering bugs, and constant “cleanup” tasks that never end. Iconoma is me trying to make that cost go to ~zero.

What I’m looking for feedback on

- The workflow: CLI-first + Studio — does this match how teams actually manage icons? - Must-have targets beyond SVG/React/RN (Vue? Svelte? Flutter? Icon fonts?) - Your biggest icon pain point (alignment? color mapping? naming? review process?)

If this sounds useful, I’d love to hear what would make it a “yes” for you (or why it wouldn’t).

## Links:

Github: https://github.com/theryston/iconoma Web: https://iconoma.org

Comments

Hackbraten•1mo ago
I read your article and both your pages and am not sure what problem you are trying to solve. App icons? General-purpose icon libraries? In-app clickable icons that represent features and objects? What exactly do you feel is inconsistent in which context? One of your example mentions different icon sizes despite the same canvas size, but I can't imagine what you even mean by this. A couple of visual examples (good vs. bad, before vs. after) would help a lot towards understanding what your project is about.