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I Chose to Focus on Data Systems Instead of Application Programming

https://alexnemethdata.com/blog/why-i-chose-data-systems-over-application-programming/
1•bodhi_mind•58s ago•1 comments

Australia Introduces Streaming Content Quotas

https://deadline.com/2025/11/australia-streaming-content-quotas-netflix-prime-video-1236606232/
1•speckx•2m ago•0 comments

Unstract: Open-source platform to ship document extraction APIs/MCPs in minutes

https://github.com/Zipstack/unstract
1•naren87•2m ago•0 comments

The Rosetta Code of Being – When Philosophy Compiles Itself

https://ontocode.org
1•nettalk83•2m ago•0 comments

Solar Powered Drone

https://www.youtube.com/watch?v=isAQEU0mZBo
1•phreeza•4m ago•0 comments

China sentences 5 to death for building, running criminal Myanmar fraud centers

https://www.cbsnews.com/news/china-myanmar-thailand-criminal-gangs-fraud-scam-centers-death-sente...
1•bikenaga•4m ago•0 comments

Claude Code on the Web: free usage credits

https://support.claude.com/en/articles/12690958-claude-code-promotion
2•kid64•4m ago•0 comments

Testing LLM Agents Like Software – Behaviour Driven Evals of AI Systems

https://aclanthology.org/2025.findings-emnlp.1314/
1•PranoyP•5m ago•0 comments

NoLongerEvil-Thermostat – Nest Generation 1 and 2 Firmware

https://github.com/codykociemba/NoLongerEvil-Thermostat
1•mukti•5m ago•0 comments

A bunch of hackers freed the Kinect from the Xbox

https://www.theverge.com/tech/812803/hacking-kinect-history
1•qdot76367•5m ago•1 comments

Markmap: Build mindmaps with plain text

https://github.com/markmap/markmap
1•saikatsg•6m ago•0 comments

Brains and stock markets follow the same rules in crisis

https://phys.org/news/2025-11-brains-stock-crisis.html
1•bikenaga•6m ago•0 comments

Launch HN: Plexe (YC X25) – Build production-grade ML models from prompts

https://www.plexe.ai/
2•vaibhavdubey97•8m ago•0 comments

'Eyes-off driving' is coming, and we're so not ready

https://www.theverge.com/transportation/812439/eyes-off-driving-level-3-legal-liability-crash
1•01-_-•8m ago•0 comments

Mail your parents a tailscale node

https://tailscale.com/blog/exit-node-parents-streaming-support
1•scosman•8m ago•0 comments

Disaggregated Inference: 18 Months Later

https://hao-ai-lab.github.io/blogs/distserve-retro/
1•ginda307•9m ago•0 comments

GameCube Nintendo Classics and storage size

https://sethmlarson.dev/gamecube-nintendo-classics-storage-size
2•speckx•9m ago•0 comments

The Microchip Era Is About to End

https://www.wsj.com/opinion/the-microchip-era-is-about-to-end-e71eb66a
1•doener•9m ago•0 comments

Pg_lake: Integrate Your Data Lakehouse with Postgres

https://www.snowflake.com/en/engineering-blog/pg-lake-postgres-lakehouse-integration/
1•01-_-•10m ago•0 comments

Exploring a space-based, scalable AI infrastructure system design

https://research.google/blog/exploring-a-space-based-scalable-ai-infrastructure-system-design/
1•meetpateltech•11m ago•0 comments

Show HN: Tangent – Open‑source stream processor with native‑speed WASM plugins

https://github.com/telophasehq/tangent
1•PublicEnemy111•12m ago•0 comments

Apple Readies a Low-Cost Laptop to Rival Chromebooks and Windows PCs

https://www.bloomberg.com/news/articles/2025-11-04/apple-readies-a-low-cost-laptop-to-rival-chrom...
2•mfiguiere•12m ago•0 comments

Elasticlunr: Lightweight full-text search engine for browser and offline search

http://elasticlunr.com/
2•thunderbong•14m ago•0 comments

Ask HN: What are you using for blogging?

1•tnolet•14m ago•1 comments

Canada isn't doing its part to stop AI government surveillance – UofT director

https://financialpost.com/technology/canada-ai-government-surveillance-uoft-director
1•gnabgib•14m ago•0 comments

Inside Pinecone: Slab Architecture

https://www.pinecone.io/learn/slab-architecture/
4•thtmnisamnstr•15m ago•0 comments

Demomakers ported Sonic the Hedgehog (1991) to the Amstrad GX4000 console (1990)

http://norecess464.weebly.com/news/sonic-gx-is-now-available-for-download
2•crousto•16m ago•0 comments

Another way of doing big O notation

https://alok.github.io/2025/11/02/big-oh-notation/
1•speckx•17m ago•0 comments

US nuclear weapons testing can forever scar a nation.Just ask Marshall Island

https://www.cnn.com/2025/11/04/asia/nuclear-testing-marshall-islands-legacy-intl-hnk-dst
2•methuselah_in•17m ago•0 comments

Ucs-Detect

https://ucs-detect.readthedocs.io/intro.html
1•djoldman•18m ago•0 comments
Open in hackernews

Show HN: Averi – The AI Marketing Workspace

https://www.averi.ai/
1•zchmael•4h ago
Hey HN,

I'm Zack, CEO at Averi. We just launched what we're calling The AI Marketing Workspace—a complete rebuild of how we think marketing teams should work with AI.

Most AI marketing tools solve for one narrow use case:

-AI copywriting tools that spit out generic content -Strategy platforms that stop at recommendations -Analytics dashboards that show what happened but don't help you act

Our Approach: Workspace > Tool

Instead of building another point solution, we built a workspace that enables complete marketing workflows: Plan → Create → Execute → Scale.

What that means:

Plan: AI-powered strategy and planning with your brand context built in. Activate expert strategists when needed. Create: /create mode takes briefs to deployment-ready assets. Collaborate with specialists in real-time. Execute: Deploy with full context preserved. Experts see your strategy, drafts, and brand. Scale: Library captures what worked. Every project trains the AI and makes future work faster.

What We Built

/create Mode: Three-Phase Creation Engine The execution system at the heart of the workspace.

Discuss Phase: Brief the AI with contextual questions specific to each asset type

Draft Phase: AI generates first draft using Synapse architecture (routing between AGM-2, GPT-5, Claude based on task) One-click adjustments to length, vibe, or language Full draft regeneration with preserved context

Edit Phase: Standard text editor with AI power-ups Highlight any text → regenerate with AI Add AI-generated paragraphs, images, infographics between sections Full collaborative editing

Output: Save as .AVRI files (native format maintaining full editability and AI context) Download in standard formats Share with experts in the workspace for refinement

The Workspace Architecture

Brand Core: Central repository for mission, values, brand voice, ideal customers, goals. Trains the AI and provides persistent context across all interactions.

Library System:

System Folders: Marketing Plans, ICPs, Products, Saved AI Conversations Custom Folders: Organize content however you want, train AI on specific contexts .AVRI files open directly in edit phase for seamless collaboration Expert Network Integration: Type /intro to request vetted marketing specialists. Review profiles, activate experts, collaborate in the workspace.

What Makes This Different

1. Complete workflow, not isolated tasks: Most tools solve for one phase (strategy OR creation OR execution). Averi enables the full flow with persistent context throughout. 2. Context-aware by design: The AI doesn't just respond to your prompt. It knows your brand, your active plans, your audience, your goals—and maintains that context. 3. Execution-first: We don't stop at suggestions or strategy. The workspace takes you from first thought to deployment-ready assets to measurable results. 4. AI + Human, built in: Expert collaboration isn't a separate marketplace—it's native to the workspace. 5. Compounding institutional memory: Library and .AVRI files create a feedback loop. Every successful project makes future work better.

Open Questions We're Exploring

1. Workspace vs. Tool Mental Model: How do you get users to think of this as "where they work" vs. "a tool they use for 10 minutes"? We've found the multi-tab interface helps, but curious about other approaches. 2. File Format Ecosystem: We're betting that .AVRI files (maintaining full AI context + edit history) become a standard for marketing collaboration. 3. Self-Serve Conversion: We just opened self-serve today. Historically we were demo-driven. Interested in what others have learned about freemium → paid. 4. Integration Strategy: We're building integrations to CMS, email platforms, social schedulers. Question: do users want to push directly from Averi, or prefer to download and upload themselves?

Try It

Sign up: https://averi.ai

Thanks! Zack