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Show HN: Nomad Tracker – a local-first iOS app to track visas and tax residency https://ift.tt/1cQykbK

Show HN: Nomad Tracker – a local-first iOS app to track visas and tax residency Hi HN, I’m full stack developer (formerly iOS) and I just launched Nomad Tracker, a native iOS app to help digital nomads track physical presence across countries for visa limits and tax residency. Key idea: everything runs on-device. No accounts, no cloud sync, no analytics. Features: - Calendar-based day tracking per country. - Schengen 90/180 and other visa “runways”. - Fiscal residency day counts and alerts. - Optional background location logging (battery-efficient, never overwrites manual data). - Photo import using metadata only (no image access). - On-device “Fiscal Oracle” using Apple’s Foundational Models to ask questions about your own data. I created this because other apps felt limiting and didn’t do what I needed. This app is visual, user-focused, and designed to make tracking easy and clear. Happy to answer questions or discuss the technical tradeoffs. https://ift.tt/H8veVPa February 3, 2026 a...
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Show HN: Stigmergy pattern for multi-agent LLMs (80% fewer API calls) https://ift.tt/Hh6VYcf

Show HN: Stigmergy pattern for multi-agent LLMs (80% fewer API calls) https://ift.tt/PlBgDwk February 3, 2026 at 11:01PM
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Show HN: kiln.bot - Orchestrate Claude Code from GitHub https://ift.tt/8FgcDJW

Show HN: kiln.bot - Orchestrate Claude Code from GitHub Hey everybody! "Kiln" orchestrates Claude Code instances on your local machine using GitHub projects as its control panel. https://kiln.bot https://ift.tt/ZV4tNUz If you're around Stage 6-7 on the Gas Town scale, you may have 3-15 terminal windows open. You're out of screen real estate and the markdown files are piling up. TUIs and specialized IDEs are meant to help, but they're more things to manage. Kiln simply polls GitHub projects. When you move issues from one column to another, Kiln invokes Claude Code CLI to run the corresponding /command. Claude creates the worktrees, researches the codebase, creates and implements the plan. Stores it in GitHub Issues. It's meant to be simple, nothing new: - Use your existing claude subscription (no auth trickery, runs locally) - All context and state is on GitHub (no markdown mess, no local DBs, easy recovery) - Poll instead of webhooks/events (no external attack...
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Show HN: I built "AI Wattpad" to eval LLMs on fiction https://ift.tt/BdjOfCQ

Show HN: I built "AI Wattpad" to eval LLMs on fiction I've been a webfiction reader for years (too many hours on Royal Road), and I kept running into the same question: which LLMs actually write fiction that people want to keep reading? That's why I built Narrator ( https://ift.tt/tKsFvHk ) – a platform where LLMs generate serialized fiction and get ranked by real reader engagement. Turns out this is surprisingly hard to answer. Creative writing isn't a single capability – it's a pipeline: brainstorming → writing → memory. You need to generate interesting premises, execute them with good prose, and maintain consistency across a long narrative. Most benchmarks test these in isolation, but readers experience them as a whole. The current evaluation landscape is fragmented: Memory benchmarks like FictionLive's tests use MCQs to check if models remember plot details across long contexts. Useful, but memory is necessary for good fiction, not sufficient. A model ...
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Show HN: Adboost – A browser extension that adds ads to every webpage https://ift.tt/7rO8NPH

Show HN: Adboost – A browser extension that adds ads to every webpage https://ift.tt/iZNfP2b February 2, 2026 at 06:41PM
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Show HN: HoundDog.ai – Ultra-Fast Code Scanner for Data Privacy https://ift.tt/UZGqy9d

Show HN: HoundDog.ai – Ultra-Fast Code Scanner for Data Privacy Hi HN, I'm one of the creators of HoundDog.ai ( https://ift.tt/JtjaPWG ). We currently handle privacy scanning for Replit's 45M+ creators. We built HoundDog because privacy compliance is usually a choice between manual spreadsheets or reactive runtime scanning. While runtime tools are useful for monitoring, they only catch leaks after the code is live and the data has already moved. They can also miss code paths that aren't actively triggered in production. HoundDog traces sensitive data in code during development and helps catch risky flows (e.g., PII leaking into logs or unapproved third-party SDKs) before the code is shipped. The core scanner is a standalone Rust binary. It doesn't use LLMs so it's local, deterministic, cheap, and fast. It can scan 1M+ lines of code in seconds on a standard laptop, and supports 80+ sensitive data types (PII, PHI, CHD) and hundreds of data sinks (logs, SDKs, APIs, ORM...
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Show HN: Memory plugin for OpenClaw; cross-platform context sync with major LLMs https://ift.tt/gaeSGPB

Show HN: Memory plugin for OpenClaw; cross-platform context sync with major LLMs We built a memory plugin for OpenClaw that syncs context across AI platforms. The problem: OpenClaw stores memory locally (markdown files + SQLite). Great for single-machine use, but your mac-mini's/desktop's OpenClaw doesn't know what your laptop learned, or what you discussed in Claude or ChatGPT. Our plugin connects OpenClaw to Maximem Vity, which creates a unified memory layer across OpenClaw, ChatGPT, Claude, Gemini, and Perplexity. How it works: - Long-term memory: Stores facts, preferences, goals, constraints in an encrypted cloud vault. Auto-consolidates and forgets stale info intelligently. - Short-term memory: Captures conversation summaries, tasks, procedures. Converts to long-term when relevant. - Privacy: Encryption at rest, secure LLM calls, granular delete controls. You own your data. Install: openclaw plugins install @maximem/memory-plugin Then set your API key (free at app.maxi...
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