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How were the NIST ECDSA curve parameters generated? (2023)

https://saweis.net/posts/nist-curve-seed-origins.html
1•mooreds•49s ago•0 comments

AI, networks and Mechanical Turks (2025)

https://www.ben-evans.com/benedictevans/2025/11/23/ai-networks-and-mechanical-turks
1•mooreds•1m ago•0 comments

Goto Considered Awesome [video]

https://www.youtube.com/watch?v=1UKVEUGEk6Y
1•linkdd•3m ago•0 comments

Show HN: I Built a Free AI LinkedIn Carousel Generator

https://carousel-ai.intellisell.ai/
1•troyethaniel•4m ago•0 comments

Implementing Auto Tiling with Just 5 Tiles

https://www.kyledunbar.dev/2026/02/05/Implementing-auto-tiling-with-just-5-tiles.html
1•todsacerdoti•6m ago•0 comments

Open Challange (Get all Universities involved

https://x.com/i/grok/share/3513b9001b8445e49e4795c93bcb1855
1•rwilliamspbgops•6m ago•0 comments

Apple Tried to Tamper Proof AirTag 2 Speakers – I Broke It [video]

https://www.youtube.com/watch?v=QLK6ixQpQsQ
2•gnabgib•8m ago•0 comments

Show HN: Vibe as a Code / VaaC – new approach to vibe coding

https://www.npmjs.com/package/@gace/vaac
1•bstrama•10m ago•0 comments

Show HN: More beautiful and usable Hacker News

https://twitter.com/shivamhwp/status/2020125417995436090
3•shivamhwp•10m ago•0 comments

Toledo Derailment Rescue [video]

https://www.youtube.com/watch?v=wPHh5yHxkfU
1•samsolomon•12m ago•0 comments

War Department Cuts Ties with Harvard University

https://www.war.gov/News/News-Stories/Article/Article/4399812/war-department-cuts-ties-with-harva...
5•geox•16m ago•0 comments

Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory

https://github.com/localgpt-app/localgpt
1•yi_wang•17m ago•0 comments

A Bid-Based NFT Advertising Grid

https://bidsabillion.com/
1•chainbuilder•20m ago•1 comments

AI readability score for your documentation

https://docsalot.dev/tools/docsagent-score
1•fazkan•28m ago•0 comments

NASA Study: Non-Biologic Processes Don't Explain Mars Organics

https://science.nasa.gov/blogs/science-news/2026/02/06/nasa-study-non-biologic-processes-dont-ful...
2•bediger4000•31m ago•2 comments

I inhaled traffic fumes to find out where air pollution goes in my body

https://www.bbc.com/news/articles/c74w48d8epgo
2•dabinat•31m ago•0 comments

X said it would give $1M to a user who had previously shared racist posts

https://www.nbcnews.com/tech/internet/x-pays-1-million-prize-creator-history-racist-posts-rcna257768
4•doener•34m ago•1 comments

155M US land parcel boundaries

https://www.kaggle.com/datasets/landrecordsus/us-parcel-layer
2•tjwebbnorfolk•38m ago•0 comments

Private Inference

https://confer.to/blog/2026/01/private-inference/
2•jbegley•42m ago•1 comments

Font Rendering from First Principles

https://mccloskeybr.com/articles/font_rendering.html
1•krapp•45m ago•0 comments

Show HN: Seedance 2.0 AI video generator for creators and ecommerce

https://seedance-2.net
1•dallen97•49m ago•0 comments

Wally: A fun, reliable voice assistant in the shape of a penguin

https://github.com/JLW-7/Wally
2•PaulHoule•50m ago•0 comments

Rewriting Pycparser with the Help of an LLM

https://eli.thegreenplace.net/2026/rewriting-pycparser-with-the-help-of-an-llm/
2•y1n0•52m ago•0 comments

Lobsters Vibecoding Challenge

https://gist.github.com/MostAwesomeDude/bb8cbfd005a33f5dd262d1f20a63a693
2•tolerance•52m ago•0 comments

E-Commerce vs. Social Commerce

https://moondala.one/
1•HamoodBahzar•52m ago•1 comments

Avoiding Modern C++ – Anton Mikhailov [video]

https://www.youtube.com/watch?v=ShSGHb65f3M
2•linkdd•54m ago•0 comments

Show HN: AegisMind–AI system with 12 brain regions modeled on human neuroscience

https://www.aegismind.app
2•aegismind_app•58m ago•1 comments

Zig – Package Management Workflow Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
1•Retro_Dev•59m ago•0 comments

AI-powered text correction for macOS

https://taipo.app/
1•neuling•1h ago•1 comments

AppSecMaster – Learn Application Security with hands on challenges

https://www.appsecmaster.net/en
1•aqeisi•1h ago•1 comments
Open in hackernews

Ask HN: Tool that generates B2B sales briefs from URLs, feedback?

1•samehsbs•6mo ago
Hi HN,

I'm working on a tool that automatically creates sales briefs for B2B outreach.

You paste in a company name or website, and it generates a short, strategic brief: - Company summary - Likely pain points - Talking points - Suggested outreach message - Objection handling

It’s built on top of a research agent, with some modifications for structured output.

My goal is to make high-quality, personalized outreach easier for solo founders, SDRs, and agencies, not spam at scale.

I’d love feedback from anyone who’s: - Done B2B sales manually - Built AI wrappers before - Curious about workflow automation

Questions I’m thinking about: - Is this too niche or just focused enough? - Would you want it as a Chrome extension, web app, or CRM plugin? - Any red flags I’m not seeing?

Thanks for reading and happy to share demo if useful.

Comments

SilentTiger•6mo ago
I think the issue you're overlooking is: what happens to your product if model providers further enhance their capabilities?

To be honest, I once had a similar idea—to build a system like this. But I gradually realized that model providers are becoming increasingly powerful, and they’re even venturing into application development themselves, not just focusing on the models. This makes anyone building applications on top of LLMs seriously consider whether the model providers might eventually replace them and do a better job.

I can even give you what I think is a very representative example: Manus. You can’t possibly not know this product. But now, both OpenAI and Google are developing their own full-featured agents. If Manus can’t come up with new ideas, I think they might be in serious trouble.

samehsbs•6mo ago
You're absolutely right, and I’ve thought about this a lot too.

I agree that general-purpose agents (from OpenAI, Google, etc.) are evolving fast. But I think there's a real difference between a general agent and a purpose-built product that manages lead briefs, saves past insights, and integrates tightly into CRM and outreach workflows.

For example: - Most agents today give one-off answers, not reusable or editable sales briefs - They don’t help manage a pipeline of leads or show what worked vs didn’t - CRM integrations, export flows, and feedback loops are out of scope for most general agents

So yeah, it’s absolutely something to keep in mind, but I’m betting that vertical-specific UX + workflow integration = real product value beyond what foundation model companies are focused on (at least for now).

Appreciate the thoughtful reply!

SilentTiger•6mo ago
My vision is that in the future, these model providers will provide interfaces that allow various information management systems, including CRM systems, to integrate their capabilities into these model provider agents.

Thus, I believe the true long-term moat for these products lies in private deployment. I don't believe these large model providers will be heavily involved in private deployment business scenarios in the short term.