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Show HN: The Art of Storage Performance Optimization
noctarius 3 minutes ago

Show HN: The Art of Storage Performance Optimization

Our CTO Michael Schmidt wrote about our performance optimization methodology at simplyblock.

It's an in-depth view onto the technology and technical decisions, as well as how and why running your own storage benchmarks are so important to really understand the performance of your specific workloads.

simplyblock.io
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Scoring Open Source Contributors in the Age of AI Slop: Finding Good Eggs
jeffreysmith 3 minutes ago

Scoring Open Source Contributors in the Age of AI Slop: Finding Good Eggs

The article discusses a new open-source contributor scoring system that aims to provide a more holistic and transparent way to evaluate the contributions of open-source project participants. The system considers factors beyond code commits, such as community engagement and project leadership, to better reflect the diverse roles and impacts of open-source contributors.

neotenyai.substack.com
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Hit right in the Adobe Flash Game feels – new addiction
squiggyboy 4 minutes ago

Hit right in the Adobe Flash Game feels – new addiction

Laddernexus.com is a comprehensive online platform that offers a wide range of resources and services related to career development, job search, and professional growth. The website provides industry insights, job listings, career advice, and tools to help users navigate the job market and achieve their career goals.

laddernexus.com
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Deploy RF-DETR Model on Rockchip NPU: Split Backbone on NPU, Detector on CPU
AlexanderDhoore 4 minutes ago

Deploy RF-DETR Model on Rockchip NPU: Split Backbone on NPU, Detector on CPU

This article describes the implementation of the RFDETR (Region-Free Detection Transformer) object detection model on a Rockchip NPU, a specialized AI accelerator chip. The authors demonstrate the feasibility of deploying this advanced deep learning model on resource-constrained edge devices, enabling efficient real-time object detection.

github.com
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Show HN: AI PDF to PPT – Convert PDF Documents into Editable Presentations
polarisminor 4 minutes ago

Show HN: AI PDF to PPT – Convert PDF Documents into Editable Presentations

The article discusses GenPPT.AI, an AI-powered tool that can convert PDF files into professional-looking PowerPoint presentations. The tool uses advanced natural language processing and machine learning algorithms to extract key information from the PDF and automatically generate a customized PowerPoint slide deck.

genppt.ai
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BonoJovi 5 minutes ago

Show HN: Promps – A visual AI prompt builder using Google Blockly

promps.org
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The Country of Geniuses That Doesn't Exist
razoorka 5 minutes ago

The Country of Geniuses That Doesn't Exist

The article explores the educational system and intellectual culture of South Korea, a country known for its high-achieving students and renowned for producing a disproportionate number of geniuses. It delves into the factors that contribute to this phenomenon, including the intense academic pressure, parental involvement, and a societal emphasis on education as a pathway to success.

techtrenches.dev
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PaulHoule 5 minutes ago

An assembler that compiles to a printf loop

The article provides an overview of the printfasm project, which is a printf-style formatter for assembly language. It allows developers to easily format and output text from within their assembly code, simplifying the debugging and logging process.

git.sr.ht
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Show HN: Screenshader – Real-time shader overlay for your screen
satuke 6 minutes ago

Show HN: Screenshader – Real-time shader overlay for your screen

The article describes an open-source project called ScreenShader, which allows users to apply custom shaders to their computer screens, enabling unique visual effects and enhancing the overall display experience.

github.com
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speckx 6 minutes ago

Big Tech still dreams of mass surveillance – now people are pushing back

salon.com
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heldsteel7 6 minutes ago

Hyperscalar AI Tax

The article discusses the potential impact of AI-driven 'tax' on hyperscaler cloud pricing, as major cloud providers seek to offset the costs of powering their energy-intensive AI models. It explores the implications for businesses and individuals relying on these cloud services.

cloudyali.io
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Show HN: I built a tamper-evident audit logging service to prevent DB rewrites
ashish-barmaiya 7 minutes ago

Show HN: I built a tamper-evident audit logging service to prevent DB rewrites

The article discusses Attest, an open-source library that enables developers to write unit tests for Solidity smart contracts. Attest provides a simple and efficient way to test Ethereum-based applications, ensuring the reliability and security of decentralized applications.

github.com
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Palantir Built the Data Layer That Right to Erasure Can't Touch
muskanshafat 7 minutes ago

Palantir Built the Data Layer That Right to Erasure Can't Touch

The article argues that the risks posed by AI are often overstated, and that other technological and social factors pose greater challenges to humanity. It suggests that AI development should be approached with pragmatism and focus on real-world problems, rather than being driven by hype or fear.

frontierlabs.substack.com
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Show HN: VaultSandbox – Real SMTP testing that works on localhost (Apache 2.0)
vaultsandbox 8 minutes ago

Show HN: VaultSandbox – Real SMTP testing that works on localhost (Apache 2.0)

Hi HN,

I posted VaultSandbox two months ago and the main feedback was AGPL concerns. I've listened: it's now Apache 2.0. I've also overhauled the local experience to make it "just work" on localhost with zero config.

VaultSandbox is a self-hosted SMTP receiver and programmable debugger. It bridges the gap between "it sent" and "it was delivered" by simulating production-grade email lifecycles. It is architected for parallel testing: each test runs in its own isolated inbox with dedicated webhooks and chaos settings...no state leaks.

What’s New: -Local-First: Encryption (TLS) and email auth (SPF/DKIM) are now optional toggles. On localhost, they are off by default so you can test instantly. -Chaos Mode: Trigger greylisting, latency, or specific SMTP errors per-inbox to test your app's resilience. -Webhooks & Spam Scores: Inbox-scoped webhooks and integrated spam scoring (via rspamd) to predict deliverability before you send. -Instant DNS (vsx.email): Any public IP running VaultSandbox gets a subdomain with pre-configured MX, SPF, DKIM, and DMARC records for high-fidelity testing. -Deterministic Testing: Use our SDKs to "wait" for emails based on specific criteria instead of using sleep() in your tests.

Workflow: 1-Start local: One container gives you SMTP, Web UI, and SDKs. 2-Scale to production: Deploy to a public IP to test real flows from SES/SendGrid with the same test code. No mocks, just reality.

Repo: https://github.com/vaultsandbox/gateway (Apache 2.0) Quick start: https://vaultsandbox.dev/deployment/local-development/

What would it take for you to switch from your current email testing setup?

github.com
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Artemis rocket heads back to its hangar for repairs as moonshot put on hold
bookofjoe 8 minutes ago

Artemis rocket heads back to its hangar for repairs as moonshot put on hold

The Artemis rocket, NASA's next-generation moon rocket, has been rolled back to the hangar for repairs, delaying its upcoming launch attempt. The article discusses the technical issues that led to the rollback and the impact on the Artemis program's timeline for returning humans to the lunar surface.

nbcnews.com
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BrowserWing turns the browser actions into MCP commands Or Claude Skill
mountainview 9 minutes ago

BrowserWing turns the browser actions into MCP commands Or Claude Skill

github.com
1 0
vincentalbouy 10 minutes ago

Launch HN: TeamOut (YC W22) – AI agent for planning company events

Hi HN, I’m Vincent, CTO of TeamOut (https://www.teamout.com/). We build an AI agent that plans company events from start to finish entirely through conversation. Similar to how Lovable helps build websites through chat, we apply that approach to event planning. Our system handles venue sourcing, vendor coordination, flight cost estimation, itinerary building, and overall project management.

Here’s a demo: https://www.youtube.com/watch?v=QVyc-x-isjI. The product is live at https://app.teamout.com/ai and does not require signup.

We went through YC in 2022 but did not launch on HN at the time. Back then, the product was more traditional, closer to an Airbnb-style search marketplace. Over the past two years, after helping organize more than 1,200 events, we rebuilt the core system around an agent architecture that directly manages the planning process. With this new version live, it felt like the right moment to share it here since it represents a fundamentally different approach to planning events.

The problem: Planning a company retreat usually means choosing between three imperfect options: (1) Hire an event planner and pay significant fees and venue markups; (2) Do it yourself and spend dozens of hours on research, emails, and negotiation; or (3) Use tools like Airbnb that are not designed for group logistics or meeting space.

The difficulty is not just finding a venue. Even for 30 to 50 people, planning turns into weeks of back-and-forth emails for quotes, comparing inconsistent pricing across PDFs, and tracking budgets in spreadsheets. It becomes an ongoing coordination problem with evolving constraints and slow, asynchronous vendor responses. Most existing software is form-driven, but the real workflow is conversational and stateful.

Offsites are expensive and high stakes. A single event can represent a significant chunk of a team’s annual budget, and mistakes show up directly as cost overruns or poor experiences. Founders and operators often end up spending time on event logistics instead of their actual work.

I ran into this while organizing retreats at a previous company. Before TeamOut, I worked as an AI researcher at IBM on NLP and machine learning systems. Sitting inside long email threads and cost spreadsheets, it did not look like a marketplace gap to me. It looked like a reasoning and state management problem. As large language models improved at multi-step reasoning and tool use, it became realistic to automate the coordination layer itself.

Our Solution: The core agent relies on a combination of models such as Gemini, Claude, and GPT. A central LLM-based agent maintains planning context across turns and decides which specialized tool to call next. Each tool has a specific responsibility: - Venue search and filtering - Cost estimations (accommodation + flights) - Budget comparisons - Quote and outreach flows - Communication tool with our team

For venue recommendations across more than 10,000 venues, we do not rely purely on the language model. We embed both user requirements and venues into vector representations and retrieve candidates using similarity search. Hard constraints such as capacity and dates are applied first, and results are ranked before being presented.

On the interface side, we use a split layout: conversation on the left and structured results on the right. As you refine the plan in chat, the event updates in real time, allowing an iterative workflow rather than a static search experience.

What is different is that we treat event planning as a stateful coordination problem rather than a one-shot search query. The agent orchestrates tools, manages evolving constraints, and surfaces trade-offs explicitly. It does not invent venues or fabricate pricing, and it is not designed to replace human planners for very large or highly customized events.

We make money from commissions on venue bookings. It is free for teams to explore options and plan. If you’ve organized an offsite or large meetup before, I’d genuinely value your perspective. Where would you expect this to fail? What edge cases are we underestimating? Where wouldn’t you trust an agent to handle the details?

My engineering team and I will be here all day to answer questions, happy to go deep on architecture, tradeoffs, and lessons learned. We’d really appreciate your candid feedback.

app.teamout.com
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Agent Skills for Data Engineering (Airflow, Dbt, Analytics)
tayloramurphy 10 minutes ago

Agent Skills for Data Engineering (Airflow, Dbt, Analytics)

The Astronomer Agents project provides a set of reusable software components for building scalable, resilient, and maintainable data processing pipelines. It offers a modular design, support for various data sources and destinations, and seamless integration with popular data engineering tools.

github.com
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johnb95 11 minutes ago

What are the best coping mechanisms for AI Fatalism?

Your kids forwarded you Matt Shumer's Something Big Happened article. Your feed exploded with the Citrini 2028 Global Intelligence Crisis and its artful, immutable chain reactions. The key leaders of the AI labs struggle openly with the morality of what they are building as their safety leaders quit in frustration. Policy leaders strive to regulate AI as if it were atomic weapons (thanks Oppenheimer).

What are the best psychological coping mechanism for this stage of the S-curve?

Asking for a generation...

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adobaro 12 minutes ago

All New adobaRo – an execution-focused AI for global content workflows

Hi HN,

We launched All New adobaRo, an execution-focused AI system for structured global content workflows.

Instead of treating AI as a prompt-response tool, we treat it as a workflow executor.

The system operates through a structured loop:

Objective → Plan generation → Coordinated execution → Feedback iteration

Architecture includes:

• A planning layer that decomposes expansion goals into executable tasks • A localization engine (translation, subtitle alignment, metadata adaptation) • Platform-specific alignment logic • Automated publishing workflows • A feedback loop based on performance signals

The goal is to move from “generate content” to executing and operating content pipelines.

We’d appreciate technical feedback, especially around orchestration, trust boundaries and failure modes in semi-autonomous execution systems.

Happy to answer questions.

https://adobaro.com

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rolodexter2023 12 minutes ago

Show HN: Md files as B2B AI agent sandbox – no production data needed

We've been running B2B and SMB pilots at Toggle and kept hitting the same wall: "we need access to your data" kills momentum immediately — legal, IT, compliance reviews, weeks of delay.

Our workaround: .md files + live browser telemetry. OpenClaw agents reason over .md files natively. Toggle streams real browser sessions into those files automatically — projects, focus patterns, context switches — so the sandbox stays live without touching any production system. A pilot contact gets a working prototype that feels real because it's built on their actual work behavior, not synthetic data.

What surprised us: the UX signal from .md prototypes is good enough to make real product decisions. By the time a customer graduates to full integration, we already know which workflows to automate and which data connections actually matter.

Full technical writeup covers the pipeline, file architecture, and when this approach breaks down: Pipeline: https://buff.ly/muwUJ9k; Architecture: https://buff.ly/NJBATRz; Pilot playbook: https://buff.ly/ZTo5Jvu

Happy to answer questions on the architecture or the approach.

publish.obsidian.md
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prabal97 12 minutes ago

Show HN: Interactive visualization of X's feed algorithm – ML in browser

The article introduces the 'X Algorithm,' a novel machine learning algorithm that aims to improve upon existing methods by incorporating techniques from various fields, including reinforcement learning, evolutionary algorithms, and game theory. The algorithm is designed to tackle complex optimization problems and has potential applications across different domains.

prabal.ca
3 4
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TLDraw plans to move their tests to a closed-source repo
switz 12 minutes ago

TLDraw plans to move their tests to a closed-source repo

The article discusses an issue with the Tldraw application, where users are experiencing performance issues and crashes when working with large files. The main focus is on addressing these technical problems to improve the overall user experience.

github.com
1 0
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Show HN: EventDock – Webhook reliability for $29/mo (vs $490 alternatives)
kidsil 13 minutes ago

Show HN: EventDock – Webhook reliability for $29/mo (vs $490 alternatives)

Hey HN, I built EventDock after losing ~$2.5k to missed Stripe webhooks during a deploy.

The problem: Webhook platforms either have tiny free tiers or jump to $490+/mo (Svix, Hookdeck enterprise).

EventDock sits in the middle: $29/mo for 100k events, built on Cloudflare's edge.

Comparison pages if you're evaluating:

- https://eventdock.app/blog/eventdock-vs-svix

- https://eventdock.app/blog/eventdock-vs-hookdeck

Happy to answer questions about the architecture (Durable Objects, edge retry logic, etc).

eventdock.app
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Show HN: Velar – Local privacy firewall for AI
ubcent 14 minutes ago

Show HN: Velar – Local privacy firewall for AI

I realized I was leaking sensitive data to ChatGPT every day. Emails, API keys, internal data. So I built a local firewall that detects and masks sensitive data before it leaves your machine. It runs as a local proxy, supports streaming, and restores data in responses. Everything is local. Would love feedback.

github.com
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Show HN: I cut LLM API bill by 55% with a Python text compressor, no AI involved
christalingx 14 minutes ago

Show HN: I cut LLM API bill by 55% with a Python text compressor, no AI involved

agentready.cloud
2 1
Bullshit Benchmark: how do chatbots respond to silly questions?
twistorial 15 minutes ago

Bullshit Benchmark: how do chatbots respond to silly questions?

The article discusses the Bullshit Benchmark, a tool designed to evaluate the quality of language models by testing their ability to detect and avoid generating incoherent or nonsensical outputs. The benchmark aims to promote the development of more robust and reliable natural language processing systems.

github.com
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jfaganel99 15 minutes ago

Show HN: Skill or Kill – Can you spot the malicious AI agent skill?

SkillOrKill.dev is a platform that provides coding challenges and real-world problems for developers to practice and improve their skills. The site offers a range of difficulty levels and topics, allowing users to enhance their problem-solving abilities and stay competitive in the tech industry.

skillorkill.dev
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Spanish company releases free compressed AI model
mastazi 17 minutes ago

Spanish company releases free compressed AI model

Multiverse Computing, a Spanish startup, has released a free compressed AI model that reduces the energy and computational resources required to run AI models. The model aims to make AI more accessible and environmentally friendly.

techcrunch.com
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crowdhailer 18 minutes ago

Gleam is straightforward, predictable and stable

The article discusses the author's experience attending a conference on Gleam, a giveaway platform. It highlights the event's focus on exploring the platform's features, techniques for running successful giveaways, and the community of Gleam users and experts.

builders.perk.com
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