Hacker News

Article URL: https://github.com/joshuanwalker/Raiders2600

Comments URL: https://news.ycombinator.com/item?id=46932678

Points: 1

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Article URL: https://www.library.hbs.edu/working-knowledge/clay-christensens-milkshake-marketing

Comments URL: https://news.ycombinator.com/item?id=46932533

Points: 2

# Comments: 0

Hi! I spent 3 years evaluating LLMs for OpenAI, Anthropic, METR, and other labs. Kept running into the same problem: AI workflows break in production because there's no clean way to add human oversight, handle failures gracefully, or deploy without choosing between "all cloud" and "all self-hosted."

WeaveMind is a visual workflow builder in Rust. The core idea is that humans and AI are interchangeable nodes in the same graph. When a workflow needs judgment, it pauses, notifies the team via browser extension, first responder picks it up. There's also an AI assistant that generates workflows from natural language, and durable execution so nothing gets lost on failure.

Early beta, free (bring your own API keys). Planning to open source once stable (Q2 2026). Feedback welcome. Discord: https://discord.gg/FGwNu6mDkU

Comments URL: https://news.ycombinator.com/item?id=46932505

Points: 3

# Comments: 0

Found this today while looking for text to image tools that handle typography well.

Link: https://seedream5ai.org/

What it appears to offer • Text to image generation from prompts, positioned for creators and designers • A focus on “text heavy graphics” and text rendering quality (based on how the site markets it) • Extra utilities in the nav like an image upscaler and background remover • A changelog page that describes a “My Images” workflow and an API endpoint for listing generations

Why it might be useful • If you regularly generate posters, banners, thumbnails, UI mockups, or ads where readable text matters, it could be worth a quick test.

Questions for anyone who tries it • How good is the actual text rendering versus other generators you’ve used • Does it stay consistent with longer phrases and mixed language text • Any issues with generation speed, pricing clarity, or output restrictions (watermark, resolution, etc.)

If you test it, please share prompt examples and results.

Comments URL: https://news.ycombinator.com/item?id=46932496

Points: 1

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Article URL: https://github.com/mitchellh/vouch

Comments URL: https://news.ycombinator.com/item?id=46932484

Points: 2

# Comments: 1

After analyzing 9 years of HN side project posts, I found some counter-intuitive patterns about what makes projects profitable.

Three things that stood out:

1. B2B dominates: 73% of $500+/month projects target businesses, not consumers

2. Speed matters more than polish: Average 47 days from launch to first sale. Most started charging with 3-5 core features.

3. Pricing cluster: 87% price between $20-49. Low enough for impulse purchase, high enough to be sustainable.

I compiled this into a dataset of nearly 700 projects with tech stack, pricing, and timeline data. Built it because I was planning my own side project and wanted to see patterns, not just success stories.

Available at [https://haileyzhou.gumroad.com/l/pknktt] ($49) as html report and raw .csv data.

Data source note: All from public HN posts 2017-2025. I did the cleaning, categorization, and cross-referencing.

Happy to discuss methodology or findings. Curious what patterns others see or if this matches your experience?

Comments URL: https://news.ycombinator.com/item?id=46932483

Points: 2

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Article URL: https://snap-dock.co

Comments URL: https://news.ycombinator.com/item?id=46932477

Points: 2

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Article URL: https://arcan-fe.com/2026/01/26/arcan-explained-a-browser-for-different-webs/

Comments URL: https://news.ycombinator.com/item?id=46932468

Points: 2

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Article URL: https://adlrocha.substack.com/p/adlrocha-we-are-not-scared-of-ai

Comments URL: https://news.ycombinator.com/item?id=46932462

Points: 1

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Article URL: https://www.pa3fwm.nl/technotes/tn13a.html

Comments URL: https://news.ycombinator.com/item?id=46932444

Points: 1

# Comments: 0

Hi HN,

I built a free, open-source dictionary API for developers who need quick word lookups without authentication or paywalls.

It’s powered by Wiktionary and returns definitions, parts of speech, pronunciations (IPA), and examples in clean JSON.

The repository contains the API layer only; the data ingestion and processing pipeline that imports Wiktionary data into the database is maintained separately.

Details: - No authentication required - JSON-only REST API - English language support for now - Licensed under CC BY-SA 4.0 (same as Wiktionary)

API example: GET /dictionaryapi/v1/definitions/en/happy

Project link: https://github.com/suvankar-mitra/free-dictionary-rest-api

I’d really appreciate feedback on: - API design / response shape - Missing fields developers usually expect - Anything that would make this more useful

Thanks for taking a look.

Comments URL: https://news.ycombinator.com/item?id=46932432

Points: 2

# Comments: 0

Article URL: https://kybera.xyz

Comments URL: https://news.ycombinator.com/item?id=46932424

Points: 1

# Comments: 0

I often wanted to see what changed in a Homebrew package — but changelogs are usually buried somewhere in the upstream repo.

So I made `brew changelog`. It parses the formula or cask, looks at the upstream repo, and tries to locate changelog-like files: CHANGELOG, NEWS, HISTORY, etc. Then it either prints the changelog to terminal or opens it in your browser.

brew tap pavel-voronin/changelog

brew changelog node -o

You can tweak behavior with options like --pattern, --print-url, or --allow-missing (try --help)

Feedback or contributions welcome!

Comments URL: https://news.ycombinator.com/item?id=46932407

Points: 1

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Article URL: https://mastodon.online/@lichess/116029914921844500

Comments URL: https://news.ycombinator.com/item?id=46932396

Points: 2

# Comments: 1

Article URL: https://cyber-omelette.com/posts/the-abstraction-rises.html

Comments URL: https://news.ycombinator.com/item?id=46932388

Points: 2

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Article URL: https://github.com/tambetvali/LaegnaAIHDvisualization

Comments URL: https://news.ycombinator.com/item?id=46932381

Points: 1

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Article URL: https://www.whereismymoneygo.com/

Comments URL: https://news.ycombinator.com/item?id=46932362

Points: 2

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Article URL: https://ayushgundawar.me/posts/html/our_stolen_light.html

Comments URL: https://news.ycombinator.com/item?id=46932357

Points: 2

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Article URL: https://github.com/jingkaihe/matchlock

Comments URL: https://news.ycombinator.com/item?id=46932343

Points: 1

# Comments: 0

I’ve been thinking about the "last mile" problem for AI agents. We have agents that can code, plan, and browse, but they are still economically "trapped." They can't independently pay for their own API calls, compute, or data without a human-in-the-loop providing a credit card.

To solve this, I’m building the A2A (Agent-to-Agent) System, an open-source infrastructure designed to turn agents into independent economic actors.

What’s under the hood? Identity (a2trust): DID-based verifiable identity using @veramo/core. It allows agents to establish persistent reputations (EigenTrust) so they can trust each other without centralized gatekeepers.

Payments (a2pay): Built on ERC-7579 Smart Accounts. Agents can use Session Keys to execute transactions autonomously within specific constraints (time-limited, amount-capped, gas-abstracted).

Protocol (a2api): A marketplace layer that utilizes MCP (Model Context Protocol). Agents can discover services via machine-readable docs (llms.txt) and negotiate fees via standard interfaces.

Why this matters: Most current agent payment solutions are just wrappers around human wallets. A2A aims to build a native "Agent Economy" where an agent can earn revenue from its tools and spend it to hire other agents, creating a truly autonomous swarm.

The Tech Stack: TypeScript/Node.js, Viem / Permissionless.js for smart account abstraction, MCP SDK for inter-agent communication, Base L2 for low-cost transactions,

I’d love to get your feedback on the architecture, especially on the security implications of delegating session keys to LLM-driven agents.

GitHub: https://github.com/swimmingkiim/a2a-project

Comments URL: https://news.ycombinator.com/item?id=46932327

Points: 1

# Comments: 1