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📦 jolehuit/clother
Clother: One CLI for All AI Providers
Switching between different artificial intelligence coding assistants usually means messing with environment variables and launcher scripts by hand. Clother fixes that by giving you a single command line interface where you can instantly swap providers like Z.AI, Kimi, or even local Ollama models just by running a simple clother-zai command. It builds lightweight launchers for each service, handling all the key and endpoint setup behind the scenes so you can benchmark speed or resume chats without breaking a sweat. It is the perfect tool for developers who want to compare model performance or switch providers without restarting their terminal.
🆔 @hackernewsgithubprojects
Clother: One CLI for All AI Providers
Switching between different artificial intelligence coding assistants usually means messing with environment variables and launcher scripts by hand. Clother fixes that by giving you a single command line interface where you can instantly swap providers like Z.AI, Kimi, or even local Ollama models just by running a simple clother-zai command. It builds lightweight launchers for each service, handling all the key and endpoint setup behind the scenes so you can benchmark speed or resume chats without breaking a sweat. It is the perfect tool for developers who want to compare model performance or switch providers without restarting their terminal.
🆔 @hackernewsgithubprojects
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📦 rixinhahaha/snip
Snip: Let AI Agents Draw, Don’t Just Talk
Let AI agents draw diagrams instead of typing endless descriptions. Snip acts as a visual bridge between you and coding tools like Claude. You just ask a question, and the AI renders a flowchart or UI preview right in your menu bar. You can circle mistakes or add notes directly on the image. The AI sees your feedback and fixes the drawing instantly. It works locally on macOS and Linux without sending data to the cloud. You get a clean visual conversation instead of a wall of text. Check it out and see how much faster your coding sessions become.
🆔 @hackernewsgithubprojects
Snip: Let AI Agents Draw, Don’t Just Talk
Let AI agents draw diagrams instead of typing endless descriptions. Snip acts as a visual bridge between you and coding tools like Claude. You just ask a question, and the AI renders a flowchart or UI preview right in your menu bar. You can circle mistakes or add notes directly on the image. The AI sees your feedback and fixes the drawing instantly. It works locally on macOS and Linux without sending data to the cloud. You get a clean visual conversation instead of a wall of text. Check it out and see how much faster your coding sessions become.
🆔 @hackernewsgithubprojects
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📦 breezewish/codexpotter
CodexPotter Auto-Repair
CodexPotter automatically repairs your codebase by repeatedly checking and fixing your work until it perfectly matches your instructions. It replaces the standard command with a smart loop that forces the AI to review, polish, and reconcile the code across multiple fresh sessions. This approach prevents the AI from losing track of details in long conversations, ensuring high-quality results without constant human intervention. You simply define the goal and let the tool handle the iterative cleanup. It keeps your repository clean and aligned with your original vision, making complex updates feel effortless.
🆔 @hackernewsgithubprojects
CodexPotter Auto-Repair
CodexPotter automatically repairs your codebase by repeatedly checking and fixing your work until it perfectly matches your instructions. It replaces the standard command with a smart loop that forces the AI to review, polish, and reconcile the code across multiple fresh sessions. This approach prevents the AI from losing track of details in long conversations, ensuring high-quality results without constant human intervention. You simply define the goal and let the tool handle the iterative cleanup. It keeps your repository clean and aligned with your original vision, making complex updates feel effortless.
🆔 @hackernewsgithubprojects
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📦 ch921-cell/remember-r1
Remember-R1: Reinforcement Learning for Visual Memory
Remember-R1 fixes a common glitch in AI vision models where they simply forget details when asked to analyze long, complex images. Instead of just guessing, this project uses reinforcement learning to teach the model to reward itself for actually looking at the relevant parts of the picture. It encourages the AI to explicitly state what it sees, keep those visual details in mind throughout its reasoning process, and focus attention on the specific areas that matter for the question. The repository provides the code and trained models to make this happen, proving that guiding the learning process helps computers retain visual information much better than standard training methods.
🆔 @hackernewsgithubprojects
Remember-R1: Reinforcement Learning for Visual Memory
Remember-R1 fixes a common glitch in AI vision models where they simply forget details when asked to analyze long, complex images. Instead of just guessing, this project uses reinforcement learning to teach the model to reward itself for actually looking at the relevant parts of the picture. It encourages the AI to explicitly state what it sees, keep those visual details in mind throughout its reasoning process, and focus attention on the specific areas that matter for the question. The repository provides the code and trained models to make this happen, proving that guiding the learning process helps computers retain visual information much better than standard training methods.
🆔 @hackernewsgithubprojects
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📦 hikari-systems/slater
Slater: Graph Database That Fits Gigabytes in Megabytes
Slater is a graph database that lets you query massive datasets with hundreds of millions of nodes using only hundreds of megabytes of RAM. Instead of loading the entire graph into memory like traditional engines, it keeps the data on disk and only caches the parts you actively query. This means a massive graph and a tiny one cost exactly the same amount of memory to serve, allowing you to run countless read replicas without exploding your infrastructure bill.
📰 https://news.ycombinator.com/item?id=48996325
🆔 @hackernewsgithubprojects
Slater: Graph Database That Fits Gigabytes in Megabytes
Slater is a graph database that lets you query massive datasets with hundreds of millions of nodes using only hundreds of megabytes of RAM. Instead of loading the entire graph into memory like traditional engines, it keeps the data on disk and only caches the parts you actively query. This means a massive graph and a tiny one cost exactly the same amount of memory to serve, allowing you to run countless read replicas without exploding your infrastructure bill.
📰 https://news.ycombinator.com/item?id=48996325
🆔 @hackernewsgithubprojects
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📦 shure-dev/small-vlm-sop-check
Small VLM SOP Check: Catching Factory Errors Early
Marlin-2B spots procedural errors in factory video with 40% accuracy. The small-vlm-sop-check project trains tiny AI models under 4 billion parameters to watch first-person factory footage and pinpoint exactly when a worker skips a step or uses the wrong tool. Instead of just recognizing objects, these models learn to find specific event start and end times in a video stream. This allows systems to alert supervisors about safety risks before an accident happens, running locally on edge devices without sending private footage to the cloud. It is a foundational step toward wearable cameras that understand work procedures in real time.
🆔 @hackernewsgithubprojects
Small VLM SOP Check: Catching Factory Errors Early
Marlin-2B spots procedural errors in factory video with 40% accuracy. The small-vlm-sop-check project trains tiny AI models under 4 billion parameters to watch first-person factory footage and pinpoint exactly when a worker skips a step or uses the wrong tool. Instead of just recognizing objects, these models learn to find specific event start and end times in a video stream. This allows systems to alert supervisors about safety risks before an accident happens, running locally on edge devices without sending private footage to the cloud. It is a foundational step toward wearable cameras that understand work procedures in real time.
🆔 @hackernewsgithubprojects
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📦 tanishqkancharla/calldiff
calldiff: See Code Changes, Not Just Lines
calldiff lets you see how the wiring in your code actually changes. Instead of staring at endless line diffs that hide the real shifts, you get a clean ASCII map of which functions are calling which. It takes your git commits and builds a visual tree of dependencies, showing exactly what got added or removed. This is a lifesaver for code reviews, especially when an AI agent rewires your app logic. You spot the structural damage instantly, rather than guessing from line numbers. It supports twenty-two languages and even gives you structured output for automation. Next time you review a PR, stop reading lines and start reading the flow.
📰 https://news.ycombinator.com/item?id=49250231
🆔 @hackernewsgithubprojects
calldiff: See Code Changes, Not Just Lines
calldiff lets you see how the wiring in your code actually changes. Instead of staring at endless line diffs that hide the real shifts, you get a clean ASCII map of which functions are calling which. It takes your git commits and builds a visual tree of dependencies, showing exactly what got added or removed. This is a lifesaver for code reviews, especially when an AI agent rewires your app logic. You spot the structural damage instantly, rather than guessing from line numbers. It supports twenty-two languages and even gives you structured output for automation. Next time you review a PR, stop reading lines and start reading the flow.
📰 https://news.ycombinator.com/item?id=49250231
🆔 @hackernewsgithubprojects
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📦 yzhao062/anywhere-agents
One Config for Every AI Agent
anywhere-agents is a portable configuration tool that lets you manage your AI coding assistants with a single setup file. Instead of manually configuring each tool like Claude Code or Codex separately, this project uses a central file called AGENTS.md to sync rules, permissions, and skills across all your environments. It automatically generates the specific configuration files each agent needs, ensuring consistent writing styles and safety guards. You can easily install it using pipx or npm, add custom skills via a simple command, and have it update itself every time you start a coding session.
🆔 @hackernewsgithubprojects
One Config for Every AI Agent
anywhere-agents is a portable configuration tool that lets you manage your AI coding assistants with a single setup file. Instead of manually configuring each tool like Claude Code or Codex separately, this project uses a central file called AGENTS.md to sync rules, permissions, and skills across all your environments. It automatically generates the specific configuration files each agent needs, ensuring consistent writing styles and safety guards. You can easily install it using pipx or npm, add custom skills via a simple command, and have it update itself every time you start a coding session.
🆔 @hackernewsgithubprojects
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📦 antirez/h3.c
H3.C: Generate Videos on Mac
H3.C turns your Apple Silicon Mac into a personal video generator. You type a simple description, like a red fox walking in the snow, and it uses the native Metal graphics engine to synthesize a short, realistic clip right on your laptop. It supports advanced controls like setting the first and last frames to anchor a story, or attaching a reference image to guide the style. It runs entirely offline using the MiniMax H3 model, meaning you can create media without waiting for slow cloud servers. It is a fascinating look at how far local machine learning inference has come for everyday users.
🆔 @hackernewsgithubprojects
H3.C: Generate Videos on Mac
H3.C turns your Apple Silicon Mac into a personal video generator. You type a simple description, like a red fox walking in the snow, and it uses the native Metal graphics engine to synthesize a short, realistic clip right on your laptop. It supports advanced controls like setting the first and last frames to anchor a story, or attaching a reference image to guide the style. It runs entirely offline using the MiniMax H3 model, meaning you can create media without waiting for slow cloud servers. It is a fascinating look at how far local machine learning inference has come for everyday users.
🆔 @hackernewsgithubprojects
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📦 prathamlearnstocode/paper2code
Turn Research Papers Into Code Automatically
Turn any research paper into working code without guessing the missing details. Paper2Code takes an arxiv link and builds a clean Python implementation where every line of code references the exact section or equation from the original text. It listens closely to what the authors actually wrote and loudly flags anything they left out. If a hyperparameter is missing, the tool marks it clearly instead of inventing a number that might be wrong. You get a structured project with a training loop, config files, and a notebook that walks you through the logic.
🆔 @hackernewsgithubprojects
Turn Research Papers Into Code Automatically
Turn any research paper into working code without guessing the missing details. Paper2Code takes an arxiv link and builds a clean Python implementation where every line of code references the exact section or equation from the original text. It listens closely to what the authors actually wrote and loudly flags anything they left out. If a hyperparameter is missing, the tool marks it clearly instead of inventing a number that might be wrong. You get a structured project with a training loop, config files, and a notebook that walks you through the logic.
🆔 @hackernewsgithubprojects
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📦 ranteck/graph-engineer
Graph-Engineer: AI Code Review Loop
Graph-engineer is a Claude Code skill that turns AI coding into a self-correcting loop instead of a single guess. It makes Claude the boss who sets goals and checks the work, while Codex writes the code and then brutally reviews its own mistakes before fixing them. This adversarial back-and-forth catches hidden bugs that standard coding tools often miss. It even includes a special high-assurance mode that uses three different review angles for critical tasks. The project is still in design, but it offers a fascinating look at how AI agents can collaborate to produce much higher quality software.
🆔 @hackernewsgithubprojects
Graph-Engineer: AI Code Review Loop
Graph-engineer is a Claude Code skill that turns AI coding into a self-correcting loop instead of a single guess. It makes Claude the boss who sets goals and checks the work, while Codex writes the code and then brutally reviews its own mistakes before fixing them. This adversarial back-and-forth catches hidden bugs that standard coding tools often miss. It even includes a special high-assurance mode that uses three different review angles for critical tasks. The project is still in design, but it offers a fascinating look at how AI agents can collaborate to produce much higher quality software.
🆔 @hackernewsgithubprojects
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📦 ethanfel/comfyui-minimaxh3-contex-loop
MiniMax H3 Contex Loop: Clip Chaining in ComfyUI
ComfyUI MiniMax H3 Contex Loop is the scene-by-scene video generator that keeps motion and audio flowing across cuts instead of resetting. It lets you plan multiple shots in one visual editor, then stitches them together using a single recursive process that saves checkpoints after each take. You can review every scene with synced sound, retry failed prompts, or approve good ones to build the final video. This means you can extend existing clips or film new scenes from different angles without losing continuity. It turns disjointed video generation into a manageable, reviewable production loop where every clip naturally leads into the next.
🆔 @hackernewsgithubprojects
MiniMax H3 Contex Loop: Clip Chaining in ComfyUI
ComfyUI MiniMax H3 Contex Loop is the scene-by-scene video generator that keeps motion and audio flowing across cuts instead of resetting. It lets you plan multiple shots in one visual editor, then stitches them together using a single recursive process that saves checkpoints after each take. You can review every scene with synced sound, retry failed prompts, or approve good ones to build the final video. This means you can extend existing clips or film new scenes from different angles without losing continuity. It turns disjointed video generation into a manageable, reviewable production loop where every clip naturally leads into the next.
🆔 @hackernewsgithubprojects
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📦 superclaude-org/superclaude_framework
Supercharge Your Claude Code Workflow
Are you looking to turn your coding workflow into a powerhouse of productivity? Meet the SuperClaude Framework, a meta-programming toolkit that transforms Claude Code into a structured development platform. By injecting specialized cognitive personas and behavioral instructions, it adds thirty powerful slash commands to your environment, covering everything from deep research to complex code implementation. Whether you need to brainstorm project architecture or manage tasks efficiently, this framework provides the systematic automation you need to build faster. Boost your performance and streamline your daily development cycles with this essential configuration tool today for a more intelligent coding experience.
🆔 @hackernewsgithubprojects
Supercharge Your Claude Code Workflow
Are you looking to turn your coding workflow into a powerhouse of productivity? Meet the SuperClaude Framework, a meta-programming toolkit that transforms Claude Code into a structured development platform. By injecting specialized cognitive personas and behavioral instructions, it adds thirty powerful slash commands to your environment, covering everything from deep research to complex code implementation. Whether you need to brainstorm project architecture or manage tasks efficiently, this framework provides the systematic automation you need to build faster. Boost your performance and streamline your daily development cycles with this essential configuration tool today for a more intelligent coding experience.
🆔 @hackernewsgithubprojects
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📦 avengemedia/dankmaterialshell
DankMaterialShell
DankMaterialShell is the unified desktop shell that finally eliminates the need to stitch together a dozen different tools to build a custom Wayland environment. Instead of managing a fragile mix of separate status bars, notification daemons, and lock screens, this all-in-one desktop shell replaces them with a single, highly integrated system built on Go and Quickshell. It handles everything from system monitoring and spotlight-style application searching to automated, wallpaper-based color schemes that instantly theme your entire desktop. It is a beautifully cohesive way to run modern window managers like Hyprland or Sway without the configuration headache.
📰 https://news.ycombinator.com/item?id=48718679
🆔 @hackernewsgithubprojects
DankMaterialShell
DankMaterialShell is the unified desktop shell that finally eliminates the need to stitch together a dozen different tools to build a custom Wayland environment. Instead of managing a fragile mix of separate status bars, notification daemons, and lock screens, this all-in-one desktop shell replaces them with a single, highly integrated system built on Go and Quickshell. It handles everything from system monitoring and spotlight-style application searching to automated, wallpaper-based color schemes that instantly theme your entire desktop. It is a beautifully cohesive way to run modern window managers like Hyprland or Sway without the configuration headache.
📰 https://news.ycombinator.com/item?id=48718679
🆔 @hackernewsgithubprojects
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📦 facebookresearch/sam-3d-objects
Turn Any Image into 3D with Meta's SAM 3D Objects
Ever wanted to turn a single photo into a fully detailed 3D model? The SAM 3D Objects repository from Meta makes this possible by reconstructing high-fidelity 3D shape, texture, and layout from just one 2D image. It works exceptionally well in cluttered real-world scenes, even when objects are partially hidden. By leveraging advanced progressive training and human-in-the-loop feedback, this foundation model lets you generate posed 3D assets that are ready for manipulation. You can easily start by running the provided demo scripts to transform images into 3D outputs like Gaussian splats, bringing your photos into the third dimension today.
🆔 @hackernewsgithubprojects
Turn Any Image into 3D with Meta's SAM 3D Objects
Ever wanted to turn a single photo into a fully detailed 3D model? The SAM 3D Objects repository from Meta makes this possible by reconstructing high-fidelity 3D shape, texture, and layout from just one 2D image. It works exceptionally well in cluttered real-world scenes, even when objects are partially hidden. By leveraging advanced progressive training and human-in-the-loop feedback, this foundation model lets you generate posed 3D assets that are ready for manipulation. You can easily start by running the provided demo scripts to transform images into 3D outputs like Gaussian splats, bringing your photos into the third dimension today.
🆔 @hackernewsgithubprojects
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📦 neuphonic/neutts
neutts
neutts is the open-source speech model library that finally brings highly realistic voice generation and instant cloning directly to your local hardware. By moving advanced voice synthesis away from slow cloud APIs and onto small language model backbones, it lets you generate natural, human-sounding speech right on your phone, laptop, or Raspberry Pi. Its standout feature is instant voice cloning, allowing you to replicate a speaker's voice using as little as three seconds of clean audio. It is a fantastic tool for anyone wanting to build private, real-time voice assistants that run entirely on-device. Try running a local model today to hear it yourself.
🆔 @hackernewsgithubprojects
neutts
neutts is the open-source speech model library that finally brings highly realistic voice generation and instant cloning directly to your local hardware. By moving advanced voice synthesis away from slow cloud APIs and onto small language model backbones, it lets you generate natural, human-sounding speech right on your phone, laptop, or Raspberry Pi. Its standout feature is instant voice cloning, allowing you to replicate a speaker's voice using as little as three seconds of clean audio. It is a fantastic tool for anyone wanting to build private, real-time voice assistants that run entirely on-device. Try running a local model today to hear it yourself.
🆔 @hackernewsgithubprojects
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📦 666os/clashmac
ClashMac: The Ultimate Native Proxy Experience for macOS
Are you looking for a powerful way to manage your network traffic on macOS? Meet ClashMac, a sophisticated proxy tool built specifically for the Mac using native SwiftUI and system APIs. This app provides a seamless experience, featuring a unique route map that visualizes your global connections like flight paths and a transparent topology view to track your data flow precisely. It offers dual proxy modes, detailed traffic statistics, and menu bar controls for real-time monitoring. Whether you need advanced configuration management or a lightweight dashboard to boost your connection speed, ClashMac delivers a polished and highly integrated networking solution.
🆔 @hackernewsgithubprojects
ClashMac: The Ultimate Native Proxy Experience for macOS
Are you looking for a powerful way to manage your network traffic on macOS? Meet ClashMac, a sophisticated proxy tool built specifically for the Mac using native SwiftUI and system APIs. This app provides a seamless experience, featuring a unique route map that visualizes your global connections like flight paths and a transparent topology view to track your data flow precisely. It offers dual proxy modes, detailed traffic statistics, and menu bar controls for real-time monitoring. Whether you need advanced configuration management or a lightweight dashboard to boost your connection speed, ClashMac delivers a polished and highly integrated networking solution.
🆔 @hackernewsgithubprojects
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📦 interceptsuite/proxybridge
Take Control of Your Network Traffic with ProxyBridge
Ever wish you could force any application to use a proxy, even if it does not support one? Meet ProxyBridge, an open-source tool that lets you route, block, or allow TCP and UDP traffic on a per-process basis across Windows, macOS, and Linux. By working at the system level, it acts as a transparent bridge that requires no configuration changes to your apps. Whether you need to secure your connections or perform network analysis without touching individual software settings, this powerful client gives you total control. Grab it today to simplify how your applications connect to the world.
🆔 @hackernewsgithubprojects
Take Control of Your Network Traffic with ProxyBridge
Ever wish you could force any application to use a proxy, even if it does not support one? Meet ProxyBridge, an open-source tool that lets you route, block, or allow TCP and UDP traffic on a per-process basis across Windows, macOS, and Linux. By working at the system level, it acts as a transparent bridge that requires no configuration changes to your apps. Whether you need to secure your connections or perform network analysis without touching individual software settings, this powerful client gives you total control. Grab it today to simplify how your applications connect to the world.
🆔 @hackernewsgithubprojects
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📦 mazharmik/interview_ds_algo
Master Coding Interviews for Free
Struggling to prepare for your next big coding interview? This massive open-source repository serves as your ultimate one-stop solution for mastering data structures and algorithms. It organizes hundreds of classic problems by category, from arrays and dynamic programming to complex graph algorithms, helping you build a solid foundation. Each solution includes company-specific tags so you know exactly what is frequently asked by top tech employers. With added video explanations to guide your learning process, this project proves that premium-quality preparation can be completely free. Start practicing today, sharpen your problem-solving skills, and get ready to land your dream job.
🆔 @hackernewsgithubprojects
Master Coding Interviews for Free
Struggling to prepare for your next big coding interview? This massive open-source repository serves as your ultimate one-stop solution for mastering data structures and algorithms. It organizes hundreds of classic problems by category, from arrays and dynamic programming to complex graph algorithms, helping you build a solid foundation. Each solution includes company-specific tags so you know exactly what is frequently asked by top tech employers. With added video explanations to guide your learning process, this project proves that premium-quality preparation can be completely free. Start practicing today, sharpen your problem-solving skills, and get ready to land your dream job.
🆔 @hackernewsgithubprojects
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📦 f/textream
The Ultimate Free Teleprompter for Mac
Struggling to maintain eye contact while reading your scripts during streams or presentations? Meet Textream, a free, open-source macOS teleprompter designed to keep you on track. It features a sleek, Dynamic Island-style overlay that follows your speech in real-time using on-device recognition, ensuring total privacy. Whether you prefer classic auto-scroll or voice-activated guidance that pauses when you stop speaking, this app offers seamless control. With remote browser connectivity and flexible customization, it is the perfect tool for podcasters and interviewers alike. Elevate your recording setup today and deliver your next presentation with absolute confidence using this powerful, invisible assistant.
🆔 @hackernewsgithubprojects
The Ultimate Free Teleprompter for Mac
Struggling to maintain eye contact while reading your scripts during streams or presentations? Meet Textream, a free, open-source macOS teleprompter designed to keep you on track. It features a sleek, Dynamic Island-style overlay that follows your speech in real-time using on-device recognition, ensuring total privacy. Whether you prefer classic auto-scroll or voice-activated guidance that pauses when you stop speaking, this app offers seamless control. With remote browser connectivity and flexible customization, it is the perfect tool for podcasters and interviewers alike. Elevate your recording setup today and deliver your next presentation with absolute confidence using this powerful, invisible assistant.
🆔 @hackernewsgithubprojects
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📦 deepseek-ai/deepseek-ocr-2
DeepSeek OCR 2: Visual Causal Flow
Turn any document page into editable digital text using DeepSeek OCR 2. This tool does not just read words but understands how paragraphs and tables are arranged, then rebuilds them in clean markdown format. It handles complex layouts by analyzing the visual flow of content, ensuring that headers stay separate and columns remain intact. You simply feed it an image or a PDF and get a structured file back. It is perfect for turning scanned reports into searchable files or copying data without messy formatting issues.
🆔 @hackernewsgithubprojects
DeepSeek OCR 2: Visual Causal Flow
Turn any document page into editable digital text using DeepSeek OCR 2. This tool does not just read words but understands how paragraphs and tables are arranged, then rebuilds them in clean markdown format. It handles complex layouts by analyzing the visual flow of content, ensuring that headers stay separate and columns remain intact. You simply feed it an image or a PDF and get a structured file back. It is perfect for turning scanned reports into searchable files or copying data without messy formatting issues.
🆔 @hackernewsgithubprojects