Show HN: Polpo – Control Claude Code (and other agents) from your phone https://ift.tt/dSZArDX

Show HN: Polpo – Control Claude Code (and other agents) from your phone Polpo is an open-source mobile controller for AI coding agents. It runs a lightweight server on your machine and gives you a phone-friendly dashboard to manage sessions, send prompts, approve tool calls, and review plans. We just released v1.1.0 with support for 5 agents (Claude Code, Codex, Gemini, OpenCode, Pi), skills management from the phone (browse/install/remove skills from skills.sh), and the ability to start new sessions without touching the terminal. The idea started because we wanted to kick off coding tasks from the couch and check on them from the phone. It grew from there. Built with Node.js, no framework on the frontend, WebSocket for real-time updates. Works on LAN or remotely via tunnel (cloudflared, localtunnel, ngrok, SSH). Built by PugliaTechs, a non-profit association from Puglia, Italy. https://ift.tt/zjF7Q2x February 28, 2026 at 07:32AM

Show HN: News Pulse – Real-time global news feed, 475 sources, no algorithm https://ift.tt/O5kYNwW

Show HN: News Pulse – Real-time global news feed, 475 sources, no algorithm Former investigative reporter turned developer. I built a simple breaking-news monitor because tracking events across platforms is a mess now that Twitter’s unreliable. Bluesky is the backbone (a fraction of twitter, but still lots of journalists and OSINT folks), plus RSS, Telegram, Reddit, YouTube and Mastodon. Everything is one chronological feed with no algorithm, clear source labels, and lightweight activity detection when a region spikes above baseline (frequency math, not LLMs). But we do have a (hopefully non-obtrusive) AI-generated recent/post summary. Been building for a while, figured I'd post in light of today's events. Can't promise it will survive or is good, any feedback appreciated. Built with Next.js 15 + TypeScript + Tailwind on Vercel. Real coded + supervised vibe coded. Free, no login, signups, ect https://pulse-osint.vercel.app/ https://news-alert-eta.vercel.app February 28, 2026 at 05:02AM

Show HN: I built GeoQuests where people can request photos of a place https://ift.tt/pZEVcrI

Show HN: I built GeoQuests where people can request photos of a place Hi HN. I had faced an issue where I wanted to know how a place I was travelling to looked like. Like everyone else I looked at google maps and snap chat too. But Google streetview images were usually old and snapchat snaps lacked control. So I built GeoQuests for anyone who wants to know what’s going on on Earth. You drop a quest at a real location. People see it on the map, go there, and complete it by taking a photo when they’re close enough. The app checks the image's GPS coordinatee, time of the image and if the image fits the request's description. I am using Gemini to verify the image. Basically you, pin a place -> others discover it on the map -> they go there and complete the quest with a verified photo. You can browse the map, see public quests and create quests. Wanted some feedback on the project. https://geoquests.io February 28, 2026 at 03:37AM

Show HN: StillPoint – local-first Markdown workspace with distributed sync https://ift.tt/d5cAv8k

Show HN: StillPoint – local-first Markdown workspace with distributed sync https://ift.tt/j0aMkh5 February 26, 2026 at 11:21PM

Show HN: Lar-JEPA – A Testbed for Orchestrating Predictive World Models https://ift.tt/lYn2LJ7

Show HN: Lar-JEPA – A Testbed for Orchestrating Predictive World Models Hey HN, The current paradigm of agentic frameworks (LangChain, AutoGPT) relies on prompting LLMs and parsing conversational text strings to decide the next action. This works for simple tasks but breaks down for complex reasoning because it treats the agent's mind like a scrolling text document. As research shifts toward Joint Embedding Predictive Architectures (JEPAs) and World Models, we hit an orchestration bottleneck. JEPAs don't output text; they output abstract mathematical tensors representing a predicted environmental state. Traditional text-based frameworks crash if you try to route a NumPy array. We built Lar-JEPA as a conceptual testbed to solve this. It uses the Lár Engine,a deterministic, topological DAG ("PyTorch for Agents") to act as the execution spine. Key Features for Researchers: Mathematical Routing (No Prompting): You write deterministic Python RouterNodes that evaluate the latent tensors directly (e.g., if collision_probability > 0.85: return "REPLAN"). Native Tensor Logging: We custom-patched our AuditLogger with a TensorSafeEncoder. You can pass massive PyTorch/NumPy tensors natively through the execution graph, and it gracefully serializes them into metadata ({ "__type__": "Tensor", "shape": [1, 768] }) without crashing JSON stringifiers. System 1 / System 2 Testing: Formally measure fast-reflex execution vs. deep-simulation planning. Continuous Learning: Includes a Default Mode Network (DMN) architecture for "Sleep Cycle" memory consolidation. We've included a standalone simulation where a Lár System 2 Router analyzes a mock JEPA's numerical state prediction, mathematically detects an impending collision, vetoes the action, and replans—all without generating a single word of English text. Repo: https://ift.tt/ZSv3iFH Would love to hear your thoughts on orchestration for non-autoregressive models. https://ift.tt/ZSv3iFH February 26, 2026 at 11:38PM

Show HN: Nullroom.io – Experimental, stateless P2P messaging and file sharing https://ift.tt/tH7nRhU

Show HN: Nullroom.io – Experimental, stateless P2P messaging and file sharing Hi HN, I’ve been experimenting with WebRTC and Rails 8 to see if it's possible to build a messaging utility that is truly "stateless". I wanted to create something for those moments when you need to move a snippet of text or a file between devices without leaving a trace on a server, a database, or a third-party cloud. The AI Collaboration: I also want to mention that this project has been a deep dive into collaborating with AI. I used AI to brainstorm the "Zero-Trace" architecture, help me harden the infrastructure after a security audit. How it works: Zero-Trace Architecture: No accounts, no cookies (beyond basic security), and absolutely no server-side logging. Client-Side Encryption: Encryption keys stay in the URL fragment (#). Since fragments are never sent to the server, the signaling layer is cryptographically blind to your data. P2P Signaling: We use ActionCable for the initial handshake. Once the WebRTC DataChannel is established, the conversation and file transfers happen directly between browsers. Zero Third-Party Dependencies: No external fonts, scripts, or trackers. Everything is served from the origin to prevent IP leakage to third-party providers. The Beta Experiment: I'm currently testing the stability of the P2P signaling. I’ve enabled file transfers (up to 24MB) for everyone during this phase. I’m curious to see how the connection logic handles different network environments. The Tech Stack: Framework: Rails 8 Deployment: Kamal 2 on a single VPS I’d love to get your thoughts on the UX and any edge cases you find with the WebRTC handshake! https://ift.tt/Hlba0v9 February 26, 2026 at 02:58AM

Show HN: PullMaster – Recommends code reviewers from your repo history https://ift.tt/N8iK1RG

Show HN: PullMaster – Recommends code reviewers from your repo history I've been a developer for 20+ years and reviewer selection has been a recurring problem at every company I've worked at. Either you're a CODEOWNER getting spammed on every PR, or you're in Slack trying to find someone who actually knows the code you changed. CODEOWNERS is too coarse — it maps paths to people, but doesn't account for who's available, who reviewed this author before, or who actually touched these files recently. I built PullMaster to fix this. It's a GitHub App that analyzes your repo's actual history and recommends the best reviewer for each PR. It adapts to the risk level of each change, so critical PRs surface experienced reviewers while routine ones get distributed across the team. Install the GitHub App and comment `@pullmaster-ai suggest` on a PR to get a recommendation with an explanation, or `@pullmaster-ai assign` to also request the review automatically. No configuration needed — it learns from your repo as soon as it's installed. It's free. I'd use it at my day job but being in a heavily regulated industry without SOC 2 makes that a non-starter, so I'm looking for early users and feedback. Happy to answer questions about how it works. https://ift.tt/8aqIfSY February 25, 2026 at 10:46PM