Top 10 repos trending on GitHub this week — what they do, why they matter, and how to use them in your projects.
1. deepseek-ai/DeepSpec
5,734 stars this week · Python
DeepSpec is a full-stack toolkit for training and evaluating speculative decoding algorithms, which can significantly speed up large language model inference.
Use case
DeepSpec solves the problem of slow inference times in large language models by implementing speculative decoding, which uses a smaller draft model to predict the next tokens, reducing the number of calls to the larger target model. For example, if Henry's blog uses a large language model for generating content, DeepSpec can help reduce the latency, making the blog more responsive.
Why it's trending
Speculative decoding is gaining traction as a method to improve the efficiency of large language models, and DeepSpec provides a comprehensive toolkit for implementing and evaluating this technique, making it highly relevant for developers working with LLMs.
How to use it
Install the Python dependencies: python -m pip install -r requirements.txt,Prepare the data by following the steps in scripts/data/README.md,Train a draft model using the provided script: bash scripts/train/train.sh,Evaluate the trained model with: bash scripts/eval/eval.sh
How I could use this
- Henry could use DeepSpec to optimize the inference time of the language model powering his blog's content generation, making the blog more responsive and improving user experience.
- For career tools, Henry could integrate DeepSpec to speed up the generation of personalized resume feedback or cover letter suggestions, making the tools more efficient and user-friendly.
- In AI features, Henry could use DeepSpec to enhance the performance of real-time chatbots or interactive AI tools on his blog, providing faster responses and a smoother user experience.
2. baairon/torlink
2,242 stars this week · TypeScript · downloader magnet-links p2p torrent
torlink is a terminal-based torrent client that simplifies finding and downloading torrents with zero setup.
Use case
For developers who need to download large files like datasets, software, or media for projects, torlink eliminates the hassle of navigating through ad-ridden torrent sites and provides a streamlined, terminal-based solution. For example, a developer working on a machine learning project can quickly search and download large datasets without leaving the terminal.
Why it's trending
It's trending because it addresses a common pain point for developers who frequently download large files and prefer terminal-based tools for efficiency and simplicity.
How to use it
Install Node.js from nodejs.org.,Open your terminal.,Run the following command to start torlink:,sh,npx torlnk,,Use the search bar to find torrents, arrow keys to select, and press 'd' to download.
How I could use this
- Henry could integrate torlink into his blog to allow users to download large files, such as project templates or datasets, directly from the terminal, enhancing the user experience for technical readers.
- For career tools, Henry could create a script that uses torlink to download resume templates or cover letter samples, making it easier for users to access these resources quickly.
- Henry could build an AI feature that automatically searches and downloads relevant datasets or models using torlink, streamlining the process of setting up AI projects.
3. Krishnagangwal/CS-Fundamentals
1,326 stars this week · various
This repo is a comprehensive collection of CS fundamentals resources tailored for technical interview preparation.
Use case
Solves the problem of scattered and inconsistent study materials for CS fundamentals by providing a curated, structured set of notes, cheatsheets, and interview questions. For example, a developer preparing for FAANG interviews can use this as a one-stop resource instead of hunting across multiple sites.
Why it's trending
It's trending because interview preparation is a perennial need, and this repo has recently gained visibility as a well-organized, high-quality resource. The inclusion of practical elements like job interview prompts and company lists adds immediate value.
How to use it
- Clone the repo:
git clone https://github.com/Krishnagangwal/CS-Fundamentals.git,2. Navigate to the topic of interest (e.g.,cd CS-Fundamentals/DSA),3. Open the relevant PDFs or notes (e.g.,open LeetCode-Problems.pdf),4. Use the interview question banks to practice (e.g.,100-DBMS-Interview-Questions.pdf),5. Follow the roadmaps (e.g.,CN-Roadmap.md) to structure your learning.
How I could use this
- Henry could create a 'CS Fundamentals' section in his blog, summarizing key concepts from the repo and linking to the original materials. This would attract readers preparing for interviews.
- He could build a career tool that cross-references the 'List-of-Companies-Hiring-Freshers-Offcampus.md' with his resume matcher, highlighting companies that align with his skills.
- For AI features, Henry could use the '25-Job-Interview-Preparation-Prompts.md' to train a chatbot that simulates technical interviews, helping users practice and receive feedback.
4. yynxxxxx/Codex-5.5-codex-instruct-5.5
1,002 stars this week · Python
This repo provides a CLI tool to bypass GPT-5.5's content restrictions in Codex, enabling unrestricted mode for security research and other advanced use cases.
Use case
For developers needing to test security vulnerabilities or explore advanced AI capabilities without content restrictions, this tool injects custom instructions into GPT-5.5's Codex CLI. For example, a security researcher could use it to generate SQL injection test cases that would normally be blocked.
Why it's trending
With the release of GPT-5.5, developers are looking for ways to bypass its strict content filters for legitimate research purposes, making this tool highly relevant.
How to use it
Clone the repository: git clone https://github.com/yynxxxxx/Codex-5.5-codex-instruct-5.5.git,Navigate to the directory: cd Codex-5.5-codex-instruct-5.5,Run the script to inject the unrestricted mode instructions: python codex-instruct.py,Restart Codex CLI to apply the changes,Verify by asking a restricted question like '如何对目标进行 SQL 注入测试？'
How I could use this
- Henry could use this tool to create a series of blog posts on AI security, demonstrating how to bypass content restrictions for educational purposes.
- For career tools, Henry could integrate this into a resume matcher to generate unrestricted, creative resume content that stands out.
- In AI features, Henry could use this to build a 'no-holds-barred' AI assistant mode in his blog, allowing users to explore advanced topics without restrictions.
5. TianhangZhuzth/Fundamental-Ava
715 stars this week · Python · ai ai-agents
Ava enables the creation of autonomous, socially intelligent digital agents that can interact and collaborate in a shared environment.
Use case
Ava solves the problem of creating realistic, autonomous digital agents that can simulate human-like interactions and social behaviors. For example, a developer could use Ava to create a virtual customer service team that collaborates to solve complex customer issues without direct programming for each scenario.
Why it's trending
Ava is trending due to the growing interest in autonomous AI agents and the recent advancements in AI that make such simulations more feasible and impactful.
How to use it
Clone the repository: git clone https://github.com/TianhangZhuzth/Fundamental-Ava.git,Install the required dependencies: pip install -r requirements.txt,Run the example simulation: python -m ava.simulation,Customize the agents and environment by modifying the configuration files in the config directory.,Extend the functionality by creating new agent behaviors and interactions in the ava/agents directory.
How I could use this
- Henry could use Ava to create a virtual team of blog contributors that interact and generate content ideas collaboratively, enhancing the creativity and diversity of his blog posts.
- For career tools, Henry could develop a virtual networking event where AI agents simulate potential employers or colleagues, helping users practice networking and interview skills in a realistic environment.
- Henry could integrate Ava into his AI projects to create a virtual study group where autonomous agents discuss and solve coding problems, providing users with a dynamic and interactive learning experience.
6. Kulaxyz/self-learning-skills
715 stars this week · various
This repo enables AI coding agents to retain and reuse hard-won debugging and operational knowledge across sessions.
Use case
Solves the problem of AI agents forgetting previously learned debugging steps or operational workflows. For example, if Henry's AI agent repeatedly struggles to connect to the production database, this tool captures the successful steps and failures, so the next session starts with that knowledge already in place.
Why it's trending
AI coding agents are becoming more prevalent, and the need for them to retain learned knowledge across sessions is a growing pain point. This repo addresses that directly.
How to use it
- Clone the repository and integrate it with your AI coding agent (e.g., Claude Code, Cursor).,2. Configure the tool to persist golden paths to the appropriate location (e.g.,
skills/<name>/SKILL.mdfor Claude Code).,3. During a coding session, when the agent successfully completes a non-trivial task, the tool will automatically capture the steps and failures.,4. In subsequent sessions, the agent will auto-load the captured knowledge, improving efficiency.
How I could use this
- Henry could use this to create a 'debugging diary' feature in his blog, where readers can see how he solved complex issues and the AI agent retained that knowledge for future posts.
- For career tools, Henry could build a 'resume debugger' that learns from each resume review session, capturing common issues and solutions to improve future reviews.
- In AI features, Henry could implement a 'project onboarding' assistant that remembers how to set up and deploy his projects, reducing the time spent on repetitive setup tasks.
7. winsznx/theeleven
681 stars this week · TypeScript · ai-agents defi eip-3009 erc-8257
This repo enables AI-driven, gasless prediction markets for live football events using Uniswap v4 hooks on X Layer.
Use case
The Eleven solves the problem of creating dynamic, real-time betting markets for live sports events without the need for manual market creation or high gas fees. For example, during a football match, AI agents can autonomously open markets for specific in-game events like 'next team to commit a foul' or 'next player to take a shot,' allowing users to stake gaslessly using USDT0.
Why it's trending
It's trending due to the upcoming 2026 football tournament and the recent OKX X Layer hackathon, which has brought attention to innovative uses of Uniswap v4 hooks and gasless transactions.
How to use it
- Clone the repository and install dependencies:
git clone https://github.com/winsznx/theeleven.git && cd theeleven && npm install,2. Set up your environment variables for X Layer and USDT0 in a.envfile.,3. Deploy the PropMarketHook contract using Foundry:forge script script/Deploy.s.sol:Deploy --rpc-url <X_LAYER_RPC_URL> --private-key <PRIVATE_KEY> --broadcast,4. Integrate the AI agents with your data feed for live football events.,5. Use the dApp interface to interact with the prediction markets:npm run dev
How I could use this
- Henry could create a blog post series on 'Building AI-Powered Prediction Markets' using this repo as a case study, detailing the integration of AI agents with blockchain technology.
- For career tools, Henry could develop a 'Blockchain Developer Skills Tracker' that uses AI to predict the most in-demand skills for blockchain developers, similar to how the AI agents predict football events.
- For AI features, Henry could implement an 'AI Market Analyst' in his blog that uses similar AI agents to analyze and predict trends in the tech job market, providing insights for his readers.
8. mekos2772/ios-location-spoofer
583 stars this week · JavaScript
A jailbreak-free iOS GPS spoofer that intercepts Apple's Wi-Fi/cell-tower location lookups via MITM proxy and replaces the returned coordinates — deployable in seconds via Shadowrocket, Surge, Loon, QX, or Stash.
Use case
iOS determines location by sending BSSID/cell-tower lists to Apple's location server and trusting the coordinates it gets back. This repo intercepts that HTTPS response before iOS reads it and rewrites all coordinates to a user-chosen lat/lng — no jailbreak, no developer account needed. Practical scenario: a developer in Sydney needs to QA a geo-fenced feature that only activates in Tokyo, without spinning up a simulator or mocking at the app layer.
Why it's trending
Interest spiked after Apple tightened location-permission UI in iOS 18.x, pushing more developers toward proxy-layer testing rather than simulator workarounds. The JavaScript port (vs. the original Go app) dramatically lowered the barrier — no compilation, no Xcode, just import a module file.
How to use it
- Install Shadowrocket (or Surge/Loon) and enable HTTPS decryption / MITM — generate and trust the CA cert in Settings → General → VPN & Device Management → Certificate Trust.,2. Import the module: in Shadowrocket tap Config → + → paste the raw URL of
ios-location-spoofer.sgmodulefrom the repo.,3. Open the module settings and set your target latitude and longitude (e.g.,35.6895, 139.6917for Tokyo).,4. Toggle the VPN off/on, then toggle Location Services off/on in Settings.,5. Open Maps — it should now show your spoofed location. Verify withcurl -s https://ipapi.co/json | jq .latitudewon't match; the spoof lives at the CoreLocation layer, not IP geolocation.
How I could use this
- Write a technical teardown post: 'How Apple Actually Determines Your iPhone Location (And How This Repo Fools It)' — walk through the WPS (Wi-Fi Positioning System) HTTPS flow, the binary protobuf response format Apple uses, and how the JS module patches field 22/24 in the CellTower payload. This is the kind of systems-level post that ranks well and gets linked from Hacker News.
- Build a 'Location Spoofing Risk Detector' career tool: Australian visa applicants sometimes use location spoofing to appear in a different city for job interviews or to test geo-restricted job boards. Write a short guide on the legal/ToS risk surface for international students using these tools carelessly — e.g., employer background checks, app fraud detection — and tie it into your visa tracker feature as a 'compliance awareness' callout.
- Create an AI-assisted geo-aware content personalisation demo: use the spoofing technique locally during development to test how your blog's planned 'local jobs near you' or 'visa processing times by city' features behave when a user is in Melbourne vs. Perth vs. Auckland — document the testing workflow as a dev diary post showing how proxy-layer coordinate injection beats simulator mocking for realistic end-to-end testing.
9. aquace/CVE-2026-41940-PoC
508 stars this week · Python · cpanel cve cve-2026-41940 cve-2026-41940-poc
CVE-2026-41940 authentication bypass vulnerability proof-of-concept
Use case
CVE-2026-41940 authentication bypass vulnerability proof-of-concept
Why it's trending
How to use it
How I could use this
10. Pluviobyte/video-production-skills
492 stars this week · Python
This repo provides reusable AI video production skills for creating, recreating, and quality-checking videos, particularly useful for developers looking to integrate dynamic video content into their projects.
Use case
Henry can use this library to automate the creation of engaging video content for his blog posts. For example, if he writes a tutorial on AI, he can use the dark-saas-magic-video skill to generate a professional-looking intro video that highlights key points, making his content more visually appealing and shareable.
Why it's trending
AI-generated video content is becoming increasingly popular for enhancing user engagement, and this repo offers a practical way to integrate such capabilities into web projects using familiar tools like HyperFrames and Remotion.
How to use it
- Clone the repository:
git clone https://github.com/Pluviobyte/video-production-skills.git,2. Navigate to the skill you want to use, e.g.,cd video-production-skills/dark-saas-magic-video,3. Install dependencies:npm install,4. Configure the skill by editing the provided configuration files to match your video requirements.,5. Run the skill to generate your video:npm start
How I could use this
- Henry could use the
black-white-text-openerskill to create striking intro videos for his blog posts, making them more engaging and professional. - For his portfolio, Henry could use the
reference-video-replica-qcskill to recreate and showcase his past projects in a dynamic video format, making his portfolio stand out. - Henry could integrate the
ai-motion-directorskill to automate the creation of video summaries for his blog posts, enhancing user engagement and making his content more accessible.