GIT_FEED

borski/travel-hacking-toolkit

AI-powered travel hacking with points, miles, and award flights. Drop-in skills and MCP servers for OpenCode and Claude Code.

View on GitHub

What it does

Travel Hacking Toolkit lets you ask an AI assistant to find the best deals on flights, hotels, and ferries by connecting it to over a dozen real-time travel search engines — including tools for finding award flights (using airline loyalty points) across 25+ programs. Instead of manually checking Skiplagged, Google Flights, Southwest, and your frequent flyer balances one by one, your AI agent does it all in a single conversation.

Why it matters

This is an early signal of a broader shift where AI agents replace entire categories of comparison-shopping apps — travel metasearch sites like Kayak or Google Flights could face disruption as users simply ask an AI to do the work instead of clicking through multiple tabs. For builders, it's a concrete example of how plugging AI coding assistants into real-world APIs can unlock consumer-grade utility, pointing toward a product strategy where 'AI-native' tools obsolete traditional search-and-filter interfaces.

50Hot

Gaining traction — heating up

Stars
430
Forks
32
Contributors
1
Language
Python

Score updated Apr 6, 2026

Related projects

AITER is AMD's open-source library of high-performance building blocks that make AI models run faster on AMD hardware, supporting everything from basic AI operations to complex training and multi-GPU coordination. Think of it as a toolbox that lets AI software teams tap into AMD's chip capabilities without having to write low-level hardware code themselves.

// why it matters As AI infrastructure costs soar, builders are actively exploring alternatives to Nvidia's dominant GPU ecosystem, and AMD is positioning AITER as the key compatibility layer that makes switching or diversifying hardware more practical. For founders and PMs building AI products, this means AMD GPUs become a more credible option for cost reduction or supply chain diversification — especially relevant as demand for AI compute continues to outpace supply.

Python414 stars292 forks200 contrib

PyTorch is the most widely-used open-source library for building and training AI models, letting developers run complex mathematical computations on GPUs to power everything from image recognition to large language models. Think of it as the engine under the hood of most modern AI products — the foundational software that turns raw data into intelligent, trainable systems.

// why it matters With nearly 100,000 stars and over 6,000 contributors, PyTorch has become the de facto standard for AI development, meaning any team building AI-powered products will almost certainly encounter or depend on it. For founders and investors, its dominance signals that the AI stack is consolidating around a small number of open-source tools, making PyTorch fluency a key hiring signal and strategic consideration for any AI-first company.

Python99.4k stars27.6k forks6398 contrib

TrendRadar is an AI-powered news and social media monitoring tool that aggregates trending topics from multiple platforms, filters them using artificial intelligence, and delivers personalized alerts straight to your phone or messaging apps like WeChat, Telegram, or Slack. It lets users set up keyword filters, get AI-generated summaries and translations, and even ask questions about trends in plain language — all deployable in under 30 seconds with no complex setup required.

// why it matters With nearly 52,000 stars and 23,000 forks, TrendRadar signals massive market demand for affordable, self-hosted alternatives to expensive enterprise media monitoring tools like Meltwater or Brandwatch — a space ripe for disruption. For founders and product teams, it demonstrates that AI-curated information feeds with smart alerting are becoming table stakes, and that users increasingly want control over their own data rather than relying on closed, costly SaaS platforms.

Python55.1k stars23.8k forks2 contrib

Last30Days is a plug-in skill for the Claude AI coding assistant that automatically researches any topic across Reddit, X, YouTube, Hacker News, Polymarket, and Bluesky, then produces a cited summary of what people are actually talking about right now. Think of it as a one-command briefing tool that scans the social web for the past 30 days and distills the signal into a readable report, saved automatically to your computer.

// why it matters As AI tools and markets shift weekly, founders and product teams who can quickly validate what's gaining traction — before it becomes mainstream knowledge — have a real edge in prioritization and positioning. The 15,000+ stars suggest strong demand for ambient, automated trend intelligence baked directly into developer workflows rather than requiring separate research tools.

Python23.9k stars2.0k forks16 contrib
// SUBSCRIBE

The repos that moved this week, why they matter, and what to watch next. One email. No noise.