Hacker News

Article URL: https://integralcollective.io/wp-content/uploads/2026/01/INTEGRAL-Paper-V0.1-Hi-Res.pdf

Comments URL: https://news.ycombinator.com/item?id=47232782

Points: 1

# Comments: 0

Article URL: https://blindfold.dev

Comments URL: https://news.ycombinator.com/item?id=47232777

Points: 1

# Comments: 1

Pricore is a self-hosted private Composer registry for PHP teams. Built with Laravel, Apache 2.0 licensed, and now in public beta.

The problem it solves: managing private packages with VCS repositories in composer.json is slow, Satis requires manual rebuilds, and SaaS options get expensive. Pricore gives you a full Composer v2 registry on your own servers.

What it does:

- Mirrors GitHub/GitLab repos and serves them to Composer

- Webhook-driven updates, no manual rebuilds

- Token-based auth

- Web dashboard for packages, downloads, and activity

- Full Composer v2 metadata-url support

- Up and running in about 60 seconds with Docker.

GitHub: https://github.com/pricorephp/pricore

Blog post: https://pricore.dev/blog/introducing-pricore

Feedback and questions welcome.

Comments URL: https://news.ycombinator.com/item?id=47232776

Points: 1

# Comments: 0

Article URL: https://github.com/raaymax/lazytail

Comments URL: https://news.ycombinator.com/item?id=47232775

Points: 2

# Comments: 0

Article URL: https://neilzone.co.uk/2026/03/im-struggling-to-think-of-any-online-services-for-which-id-be-willing-to-verify-my-identity-or-age/

Comments URL: https://news.ycombinator.com/item?id=47232768

Points: 1

# Comments: 0

Article URL: https://github.com/deusXmachina-dev/memorylane

Comments URL: https://news.ycombinator.com/item?id=47232766

Points: 2

# Comments: 1

I’m 25, work full-time at my family’s cabinetry company, and spent the last 9 months solo-building Learnprints (learnprints.ca) on nights and weekends with a ~$2,500 budget and a lot of searching and learning.

The frustration that started it: every learning tool I tried was optimized for engagement, not understanding. Anki is great but gives you no structure. Notion is a graveyard. AI chatbots answer questions but don’t build knowledge.

I wanted something that actually closed the loop.

What Learnprints does: You give it any topic — quantum mechanics, corporate tax law, Renaissance art, anything — and it generates a Learnprint: a research-grade structural blueprint of that topic. Not a summary. A map of how the concepts relate, what the invariants are, what you need to understand before you can understand the next thing.

From there it’s a full loop: ∙ AI chatbot to clarify any concept inside the blueprint ∙ Spaced repetition that forces understanding, not memorization ∙ A cognitive mirror that builds a learning profile from how you actually practice ∙ A practice hub where you can upload assignments, get an AI tutor, draw on a canvas, and get passive feedback on your scratch work via vision AI

The whole thing is designed around one idea: depth compounds. A Learnprint you build today makes every future thing you learn in that domain faster.

The stack (full transparency): ∙ Frontend: Lovable, Cursor, Claude - Opus and Sonnet and a bit of Codex (AI-assisted React) ∙ Backend: Supabase (Postgres + Edge Functions) ∙ AI: GPT-5.2 for vision, GPT-4o-mini and GPT-5.2 for tutor and segmentation/structuring, LlamaParse for document extraction, Perplexity for the research layer ∙ Hosting: Vercel

What I’m looking for: Launching at $15/month (CAD) with a goal of 10 paying users in 30 days. I have no marketing background — I’m a salesperson by day job and a builder by obsession. Roast the product, roast the pricing, tell me what’s missing. I can handle it. I want to improve and provide the educational tools I needed when I was in school to everybody.

learnprints.ca

Comments URL: https://news.ycombinator.com/item?id=47231918

Points: 1

# Comments: 0

Article URL: https://situational-awareness.ai/

Comments URL: https://news.ycombinator.com/item?id=47231897

Points: 1

# Comments: 0

Article URL: https://academic.oup.com/pnasnexus/article/5/3/pgag018/8503064

Comments URL: https://news.ycombinator.com/item?id=47231896

Points: 1

# Comments: 0

Article URL: https://dice-jaga.bryanhogan.com/

Comments URL: https://news.ycombinator.com/item?id=47231895

Points: 1

# Comments: 0

I’m curious how agencies and freelancers are pricing projects now that AI tools make us more productive but also introduce new costs. Many of us rely on LLMs, generative design, AI-assisted coding and other services that carry API fees or compute costs. If you can deliver work significantly faster with AI, do you still bill by the hour? Have you moved to fixed-price or value-based models? How do you factor in the overhead of AI tools without eating into your margins, and how do clients react? I’d especially like to hear from smaller agencies, designers and project managers who use AI heavily.

Comments URL: https://news.ycombinator.com/item?id=47231886

Points: 1

# Comments: 0

LLMs hallucinate recency. They'll tell you a project is active when it hasn't been touched in two years, or cite outdated docs as current. The problem isn't the content — it's that there's no timestamp on when it was retrieved.

FreshContext wraps every extraction in an envelope with retrieved_at, content_date, and freshness_confidence fields. The agent always knows when it's looking at data, not just what it says.

Ships with 7 tools: GitHub repo extraction, Hacker News sentiment, Google Scholar, YC startup scraper, GitHub repo search, npm/PyPI package trends, and extract_landscape — one call that queries all sources simultaneously and returns a unified competitive intelligence report.

Works locally (Playwright) and on Cloudflare Workers (Browser Rendering API). MIT license.

Would love feedback on the FreshContext envelope pattern specifically — is this a useful primitive for agent reliability?

Comments URL: https://news.ycombinator.com/item?id=47231881

Points: 1

# Comments: 0

Article URL: https://economist.com/science-and-technology/2026/03/02/data-centres-in-space-less-crazy-than-you-think

Comments URL: https://news.ycombinator.com/item?id=47231880

Points: 1

# Comments: 0

Article URL: https://vickiboykis.com/2026/02/21/querying-3-billion-vectors/

Comments URL: https://news.ycombinator.com/item?id=47231871

Points: 1

# Comments: 0

Article URL: https://usefulfictions.substack.com/p/do-less

Comments URL: https://news.ycombinator.com/item?id=47231869

Points: 1

# Comments: 0

Article URL: https://cassidoo.co/post/css-corner-shape/

Comments URL: https://news.ycombinator.com/item?id=47231867

Points: 1

# Comments: 0

Article URL: https://progressandpoverty.substack.com/p/the-housing-ladders-broken-promise

Comments URL: https://news.ycombinator.com/item?id=47231865

Points: 1

# Comments: 0

Article URL: https://github.com/vitas/evidra

Comments URL: https://news.ycombinator.com/item?id=47231861

Points: 1

# Comments: 1

Article URL: https://www.numinals.io/

Comments URL: https://news.ycombinator.com/item?id=47231848

Points: 1

# Comments: 0

Hi HN — I built an experimental demo that creates and verifies revocable digital signature artifacts using deep learning encoding models instead of traditional cryptographic keys.

In this system, a specific model instance encodes file metadata into a signature artifact. That same model instance is required to verify it. Signing authority is controlled through a short-lived “lease” (15 minutes), and can be revoked to intentionally invalidate verification.

This is not RSA/ECDSA, and I’m not making cryptographic claims or guarantees. I’m exploring whether the encoding method combined with short-lived authority can function as a signing primitive.

What you can do: - Upload a non-sensitive file - Generate a downloadable signature package - Verify it later - Revoke the signing authority and observe verification behavior change - Session based. Files are processed in memory and not stored.

Core Properties: - Signatures are encoded using a specific trained model instance - Only the specific model instance can decode/verify the signature - Authority is short-lived through a 15-minute lease - Revocation is built into the design - No long-lived private keys - No blockchain or ledger

Challenge:

If you’re technically inclined, I’d genuinely love for you to try to break it. Specifically...

- Attempt to forge or reverse-engineer the signature artifact - Modify files after signing and try to preserve verification - Alter metadata in the signature package - Replay artifacts across leases

If you can successfully forge or meaningfully reproduce a valid signature artifact without access to the model instance, I’d love to hear about it. This demo is intentionally inspectable and challengeable. I am not inviting attacks against the site or infrastructure — just scrutiny of the method and encoding assumptions.

Project info and write-up: - https://lyfe.ninja/projects/#BlkBolt - https://lyfe.ninja/news/#revocable-signature-demo

If there are obvious flaws, I’d rather learn that now than later. Thanks for taking a look.

Comments URL: https://news.ycombinator.com/item?id=47231847

Points: 2

# Comments: 0