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NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
1•gbugniot•1m ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
1•throwaw12•3m ago•0 comments

MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•3m ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•4m ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•6m ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•9m ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
1•andreabat•12m ago•0 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
1•mgh2•18m ago•0 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•19m ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•25m ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•26m ago•0 comments

Study of 150 developers shows AI generated code no harder to maintain long term

https://www.youtube.com/watch?v=b9EbCb5A408
1•lifeisstillgood•27m ago•0 comments

Spotify now requires premium accounts for developer mode API access

https://www.neowin.net/news/spotify-now-requires-premium-accounts-for-developer-mode-api-access/
1•bundie•29m ago•0 comments

When Albert Einstein Moved to Princeton

https://twitter.com/Math_files/status/2020017485815456224
1•keepamovin•31m ago•0 comments

Agents.md as a Dark Signal

https://joshmock.com/post/2026-agents-md-as-a-dark-signal/
2•birdculture•33m ago•0 comments

System time, clocks, and their syncing in macOS

https://eclecticlight.co/2025/05/21/system-time-clocks-and-their-syncing-in-macos/
1•fanf2•34m ago•0 comments

McCLIM and 7GUIs – Part 1: The Counter

https://turtleware.eu/posts/McCLIM-and-7GUIs---Part-1-The-Counter.html
2•ramenbytes•37m ago•0 comments

So whats the next word, then? Almost-no-math intro to transformer models

https://matthias-kainer.de/blog/posts/so-whats-the-next-word-then-/
1•oesimania•38m ago•0 comments

Ed Zitron: The Hater's Guide to Microsoft

https://bsky.app/profile/edzitron.com/post/3me7ibeym2c2n
2•vintagedave•41m ago•1 comments

UK infants ill after drinking contaminated baby formula of Nestle and Danone

https://www.bbc.com/news/articles/c931rxnwn3lo
1•__natty__•42m ago•0 comments

Show HN: Android-based audio player for seniors – Homer Audio Player

https://homeraudioplayer.app
3•cinusek•42m ago•1 comments

Starter Template for Ory Kratos

https://github.com/Samuelk0nrad/docker-ory
1•samuel_0xK•44m ago•0 comments

LLMs are powerful, but enterprises are deterministic by nature

2•prateekdalal•47m ago•0 comments

Make your iPad 3 a touchscreen for your computer

https://github.com/lemonjesus/ipad-touch-screen
2•0y•52m ago•1 comments

Internationalization and Localization in the Age of Agents

https://myblog.ru/internationalization-and-localization-in-the-age-of-agents
1•xenator•52m ago•0 comments

Building a Custom Clawdbot Workflow to Automate Website Creation

https://seedance2api.org/
1•pekingzcc•55m ago•1 comments

Why the "Taiwan Dome" won't survive a Chinese attack

https://www.lowyinstitute.org/the-interpreter/why-taiwan-dome-won-t-survive-chinese-attack
2•ryan_j_naughton•55m ago•0 comments

Xkcd: Game AIs

https://xkcd.com/1002/
2•ravenical•57m ago•0 comments

Windows 11 is finally killing off legacy printer drivers in 2026

https://www.windowscentral.com/microsoft/windows-11/windows-11-finally-pulls-the-plug-on-legacy-p...
1•ValdikSS•57m ago•0 comments

From Offloading to Engagement (Study on Generative AI)

https://www.mdpi.com/2306-5729/10/11/172
1•boshomi•59m ago•1 comments
Open in hackernews

Show HN: MethodsAgent – Solves "I can build but can't sell" for founders

https://www.methodsagent.com/
2•pierremouchan•1mo ago
what is MethodsAgent? It gives you domain-specific AI agents that turn proven playbooks (like copy frameworks, AARRR metrics, or Jobs-to-be-Done) into actual execution-ready assets. Instead of getting generic advice, you get verified output—landing page copy, cold outreach scripts, and funnel strategies—based on 50+ curated marketing frameworks. Think of it as a "Cursor for Marketing".

Why I built it? I’m a builder who has spent the last 5 years obsessively collecting over 1,000 frameworks. But even with that library, I found myself spending 40+ hours trying to learn what experts already knew, or relying on generic ChatGPT answers that lacked depth. I built this because I wanted instant access to expert-level marketing execution without hiring a $5k/mo consultant or spending months learning a new domain.

The pain it solves? Founders and indie hackers often build great products but get stuck at marketing... We know how to build, but we struggle to sell because we lack the domain expertise. MethodsAgent bridges that gap by giving you the "methods" of experts, instantly applied to your specific product.

I’m not looking for upvotes, but honest feedback.

Does the output feel more actionable than standard LLMs? Which marketing frameworks would you actually use right now? Thanks!

Comments

apothegm•1mo ago
I find it very hard to believe anyone who claims their AI tool “doesn’t hallucinate”. And how would on accomplish that?
pierremouchan•1mo ago
u're right to be skeptical ;) zero hallucinations is a strong claim... However, I minimize it structurally by treating the LLM as a reasoning engine, not a knowledge base.

Instead of letting the model "guess" based on training data, we constrain it to a RAG pipeline backed by 50+ marketing frameworks (like Blue Ocean, Jobs-to-be-Done, etc.). The agent constructs answers only from this retrieved context. If the answer isn't in the playbook, it’s instructed to ask clarifying questions rather than invent facts! It has proven to be really good beside other LLM like chatGPT (and I also tweak it every day by playing with prompting, temperature, topK etc)