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[Other] The ultimate LLM/AI application development framework in Golang.

[Other] Show HN: Terminal-Bench-RL: Training Long-Horizon Terminal Agents with RL After training calculator agent via RL, I really wanted to go bigger! So I built RL infrastructure for training long-horizon terminal&#x2F;coding agents that scales from 2x A100s to 32x H100s (~$1M worth of compute!) Without any training, my 32B agent hit #19 on Terminal-Bench leaderboard, beating Stanford&#x27;s Terminus-Qwen3-235B-A22! With training... well, too expensive, but I bet the results would be good!<p>*What I did*:<p>- Created a Claude Code-inspired agent (system msg + tools)<p>- Built Docker-isolated GRPO training where each rollout gets its own container<p>- Developed a multi-agent synthetic data pipeline to generate &amp; validate training data with Opus-4<p>- Implemented a hybrid reward signal of unit test verifiers &amp; a behavioural LLM judge.<p>*Key results*:<p>- My untrained Qwen3-32B agent achieved 13.75% on Terminal-Bench (#19, beats Stanford&#x27;s Qwen3-235B MoE)<p>- I tested training to work stably on 32x H100s distributed across 4 bare metal nodes<p>- I created a mini-eval framework for LLM-judge performance. Sonnet-4 won.<p>- ~£30-50k needed for full training run of 1000 epochs (I could only afford testing )<p>*Technical details*:<p>- The synthetic dataset ranges from easy to extremely hard tasks. An example hard task&#x27;s prompt:<p>&quot;I found this mystery program at `&#x2F;app&#x2F;program` and I&#x27;m completely stumped. It&#x27;s a stripped binary, so I have no idea what it does or how to run it properly. The program seems to expect some specific input and then produces an output, but I can&#x27;t figure out what kind of input it needs. Could you help me figure out what this program requires?&quot;<p>- Simple config presets allow training to run on multiple hardware setups with minimal effort.<p>- GRPO used with 16 rollouts per task, up to 32k tokens per rollout.<p>- Agent uses XML&#x2F;YAML format to structure tool calls<p>*More details*:<p>My Github repos open source it all (agent, data, code) and has way more technical details if you are interested!:<p>- Terminal Agent RL repo<p>- Multi-agent synthetic data pipeline repo<p>I thought I would share this because I believe long-horizon RL is going to change everybody&#x27;s lives, and so I feel it is important (and super fun!) for us all to share knowledge around this area, and also have enjoy exploring what is possible.<p>Thanks for reading!<p>Dan<p>(Built using rLLM RL framework which was brilliant to work with, and evaluated and inspired by the great Terminal Bench benchmark)

[Other] Show HN: Rewindtty – Record and replay terminal sessions as structured JSON

[Other] Show HN: Walk-through of rocket landing optimization paper [pdf] Hey all! Long time lurker, first time poster.<p>I found this rocket landing trajectory optimization paper cool, but it took me a while to wrap my head around it and implement it. I wrote up an expanded version of the paper including details that would have helped me understand it the first time through, with the idea being that it might make the content more approachable for others with similar interests. The source code is also linked in the document.<p>I&#x27;m open to feedback, I&#x27;m always trying to get better across the board.

[Other] Collaborative block-based editor → ready to drop in your app Many teams build Notion-like editors with Tiptap. We productized it. A React-based template in Tiptap Cloud with drag-and-drop blocks, real-time collab, AI writing, version history, embeds, dark mode, and more. Ready to plug and play for your app.

[Other] Turn Ideas into Prototypes — in Seconds Layout is an AI-powered platform that helps founders and developers turn ideas into working software prototypes instantly. Just describe what you want to build, and Layout generates clean code, UI components, and project structure.

[Other] Build React Timeline today, fast and simple Planby PRO is a React component for building complex timelines and schedules. Features include drag & drop (internal & external), timezones, multiple days, day ranges, vertical/horizontal views, fast virtual rendering, and easy 3rd-party integration.

[Other] Quick notes on screen edge SideNotes is a quick-access notes app that lives on the side of your screen. Always available, even in full screen. Format text with Markdown (markup stays hidden), make task lists, customize with themes and lots of settings, sync via iCloud.

[Other] Free online dog breed recognition Use AI technology to identify dog breeds for free. Upload photos to quickly identify your dog's breed. Supports hundreds of dog breeds with 99% accuracy.

[API/SDK] Best API for Amazon Data Extraction Our Real-Time Amazon Data API is designed to deliver precise and reliable information from Amazon marketplaces worldwide.

[Other] Show HN: Kiln – AI Boilerplate with Evals, Fine-Tuning, Synthetic Data, and Git I noticed there weren&#x27;t boilerplates for AI projects like there were for web apps, so I built one. Same idea - everything you need to get a project up and running quickly. However, instead of web-framework&#x2F;CSS&#x2F;DB, it&#x27;s tools for AI projects: evals, synthetic data gen, fine-tuning, and more.<p>Kiln is a free, open tool that gives you everything most AI projects need in one integrated package:<p>- Eval system: including LLM-as-judge evals, eval data generation, human baselines<p>- Fine-tuning: proxy to many fine-tuning providers like Fireworks&#x2F;Together&#x2F;OpenAI&#x2F;Unsloth<p>- Synthetic data generation: deeply integrated into evals and fine-tuning<p>- Model routing: 12 providers including Ollama, OpenRouter, and more<p>- Git-based collaboration: projects are designed to be synced through your own git server<p>The key insight is that these tools work much better when they&#x27;re integrated. For example, the synthetic data generator knows whether you&#x27;re creating data for evals vs. fine-tuning (which have very different data needs), and evals can automatically test different prompt&#x2F;model&#x2F;fine-tune combinations.<p>It runs entirely locally - your project data stays in local files, and you control your own git repos. No external services required (though it integrates with them if you want).<p>Main project GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;Kiln-AI&#x2F;Kiln">https:&#x2F;&#x2F;github.com&#x2F;Kiln-AI&#x2F;Kiln</a><p>Demo GitHub where I use it to build a &#x27;natural language to ffmpeg command&#x27; demo with evals, fine-tunes, and synthetic data (including demo video): <a href="https:&#x2F;&#x2F;github.com&#x2F;Kiln-AI&#x2F;demos&#x2F;blob&#x2F;main&#x2F;end_to_end_project_demo&#x2F;">https:&#x2F;&#x2F;github.com&#x2F;Kiln-AI&#x2F;demos&#x2F;blob&#x2F;main&#x2F;end_to_end_projec...</a>

[Other] Replacing cron jobs with a centralized task scheduler

[Other] Show HN: I built a free tool to find valuable expired domains using AI Hi HN,<p>I’ve been collecting and analyzing expired domains for years — especially those about to drop. Every day, tens of thousands expire. Most are junk, but a few still have traffic, backlinks, SEO value, or just great names. Finding them used to take hours.<p>Last week I put my internal tools online: <a href="https:&#x2F;&#x2F;pendingdelete.domains" rel="nofollow">https:&#x2F;&#x2F;pendingdelete.domains</a> No login, no paywall Updated daily Combines domain history, traffic, SEO data and AI-driven insights to identify valuable expirations The goal: help spot valuable domains quickly and skip the noise.<p>Still a work-in-progress — would love feedback: Is this useful? What signals or filters would you add? Any UI or speed improvements?<p>Thanks!

[Other] The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

[Other] Best and simplest tool for website change detection, web page monitoring, and website change alerts. Perfect for tracking content changes, price drops, restock alerts, and website defacement monitoring—all for free or enjoy our SaaS plan!

[Other] Show HN: I made a tool to generate photomosaics with your pictures Hi HN!<p>I wanted to make some photomosaics for an anniversary gift, but I ended up building this tool and turning it into a website that anyone can use.<p>For those who don’t know, a photomosaic is an image made up of many smaller tile images, arranged in a way that forms a larger, recognisable picture.<p>The best part? Everything runs directly in your browser. No files are uploaded, and there’s no sign-up required.

[API/SDK] Gamify your app with scratch-to-reveal magic ✨ Scratchify SDK lets you add scratch card rewards to any mobile app—boost engagement with surprise reveals, gamified loyalty perks, and custom designs. Easy to integrate, lightweight, and perfect for fintech, retail, and promotional campaigns.

[Other] The Intelligence Layer for Your Codebase Helix transforms codebase management with AI-powered docs, test generation & execution, smart refactors, visual dependency graphs, and runtime insights—helping teams onboard faster, refactor confidently, and ship high-quality code. Join the waitlist now.

[Other] One-tap hours & billing app anHour is a simple time tracker for freelancers and side-hustlers. Log hours in seconds, auto-calculate payments, and send clean invoices—no clutter, no stress. Manage clients, stay organized, and get paid. One hour at a time.

[Other] GitGoose - Auto-Generate Your GitHub READMEs with AI GitGoose analyzes your public GitHub repository to automatically generate a detailed README.md tailored to your project. Get essential sections like installation, usage, and documentation, effortlessly!