I canceled my book deal
68 by azhenley | 25 comments on Hacker News.
Wednesday, 31 December 2025
Tuesday, 30 December 2025
Monday, 29 December 2025
Sunday, 28 December 2025
New top story on Hacker News: Ask HN: Best Podcasts of 2025?
Ask HN: Best Podcasts of 2025?
27 by adriancooney | 21 comments on Hacker News.
The Rest is Politics, Leading, Philosophize This and Stratechery (paid) are the podcasts that stood out the most in 2025. Curious what other HNers listen to.
27 by adriancooney | 21 comments on Hacker News.
The Rest is Politics, Leading, Philosophize This and Stratechery (paid) are the podcasts that stood out the most in 2025. Curious what other HNers listen to.
Saturday, 27 December 2025
Friday, 26 December 2025
Thursday, 25 December 2025
New top story on Hacker News: Show HN: Lamp Carousel – DIY kinetic sculpture powered by lamp heat
Show HN: Lamp Carousel – DIY kinetic sculpture powered by lamp heat
8 by Evidlo | 0 comments on Hacker News.
I wanted to share this fun craft activity for the holidays that I've been doing with my family over the last few years. I came up with these while cutting up some cans trying to make an aluminum version of paper spinners. There are a variety of shapes that work, but generally bigger+lighter spinners are better. Also incandescent bulbs are the best, but LEDs work too. They remind me of candle carousels I would see at my grandparents' house during Christmas. Let me know what you think!
8 by Evidlo | 0 comments on Hacker News.
I wanted to share this fun craft activity for the holidays that I've been doing with my family over the last few years. I came up with these while cutting up some cans trying to make an aluminum version of paper spinners. There are a variety of shapes that work, but generally bigger+lighter spinners are better. Also incandescent bulbs are the best, but LEDs work too. They remind me of candle carousels I would see at my grandparents' house during Christmas. Let me know what you think!
Wednesday, 24 December 2025
Tuesday, 23 December 2025
Monday, 22 December 2025
Sunday, 21 December 2025
Saturday, 20 December 2025
New top story on Hacker News: Show HN: Claude Code Plugin to play music when waiting on user input
Show HN: Claude Code Plugin to play music when waiting on user input
16 by Sevii | 7 comments on Hacker News.
Claude Code tends to be just slow enough you have time to tab away and get distracted. This plugin uses Claude Code's hooks to play music when Claude is waiting for user input so you don't just leave it sitting for 15 minutes.
16 by Sevii | 7 comments on Hacker News.
Claude Code tends to be just slow enough you have time to tab away and get distracted. This plugin uses Claude Code's hooks to play music when Claude is waiting for user input so you don't just leave it sitting for 15 minutes.
Friday, 19 December 2025
Thursday, 18 December 2025
New top story on Hacker News: Show HN: Paper2Any – Open tool to generate editable PPTs from research papers
Show HN: Paper2Any – Open tool to generate editable PPTs from research papers
7 by Mey0320 | 0 comments on Hacker News.
Hi HN, We are the OpenDCAI group from Peking University. We built Paper2Any, an open-source tool designed to automate the "Paper to Slides" workflow based on our DataFlow-Agent framework. The Problem: Writing papers is hard, but creating professional architecture diagrams and slides (PPTs) is often more tedious. Most AI tools just generate static images (PNGs) that are impossible to tweak for final publication. The Solution: Paper2Any takes a PDF, text, or sketch as input, understands the research logic, and generates fully editable PPTX (PowerPoint) files and SVGs. We prioritize flexibility and fidelity—allowing you to specify page ranges, switch visual styles, and preserve original assets. How it works: 1. Multimodal Reading: Extracts text and visual elements from the paper. You can now specify page ranges (e.g., Method section only) to focus the context and reduce token usage. 2. Content Understanding: Identifies core contributions and structural logic. 3. PPT Generation: Instead of generating one flat image, it generates independent elements (blocks, arrows, text) with selectable visual styles and organizes them into a slide layout. Links: - Demo: http://dcai-paper2any.cpolar.top/ - Code (DataFlow-Agent): https://ift.tt/ChdIRB4 We'd love to hear your feedback on the generation quality and the agent workflow!
7 by Mey0320 | 0 comments on Hacker News.
Hi HN, We are the OpenDCAI group from Peking University. We built Paper2Any, an open-source tool designed to automate the "Paper to Slides" workflow based on our DataFlow-Agent framework. The Problem: Writing papers is hard, but creating professional architecture diagrams and slides (PPTs) is often more tedious. Most AI tools just generate static images (PNGs) that are impossible to tweak for final publication. The Solution: Paper2Any takes a PDF, text, or sketch as input, understands the research logic, and generates fully editable PPTX (PowerPoint) files and SVGs. We prioritize flexibility and fidelity—allowing you to specify page ranges, switch visual styles, and preserve original assets. How it works: 1. Multimodal Reading: Extracts text and visual elements from the paper. You can now specify page ranges (e.g., Method section only) to focus the context and reduce token usage. 2. Content Understanding: Identifies core contributions and structural logic. 3. PPT Generation: Instead of generating one flat image, it generates independent elements (blocks, arrows, text) with selectable visual styles and organizes them into a slide layout. Links: - Demo: http://dcai-paper2any.cpolar.top/ - Code (DataFlow-Agent): https://ift.tt/ChdIRB4 We'd love to hear your feedback on the generation quality and the agent workflow!
Wednesday, 17 December 2025
Tuesday, 16 December 2025
New top story on Hacker News: Show HN: Zenflow – orchestrate coding agents without "you're right" loops
Show HN: Zenflow – orchestrate coding agents without "you're right" loops
7 by andrewsthoughts | 2 comments on Hacker News.
Hi HN, I’m Andrew, Founder of Zencoder. While building our IDE extensions and cloud agents, we ran into the same issue many of you likely face when using coding agents in complex repos: agents getting stuck in loops, apologizing, and wasting time. We tried to manage this with scripts, but juggling terminal windows and copy-paste prompting was painful. So we built Zenflow, a free desktop tool to orchestrate AI coding workflows. It handles the things we were missing in standard chat interfaces: Cross-Model Verification: You can have Codex review Claude’s code, or run them in parallel to see which model handles the specific context better. Parallel Execution: Run five different approaches on a backlog item simultaneously—mix "Human-in-the-Loop" for hard problems with "YOLO" runs for simple tasks. Dynamic Workflows: Configured via simple .md files. Agents can actually "rewire" the next steps of the workflow dynamically based on the problem at hand. Project list/kanban views across all workload What we learned building this To tune Zenflow, we ran 100+ experiments across public benchmarks (SWE-Bench-*, T-Bench) and private datasets. Two major takeaways that might interest this community: Benchmark Saturation: Models are becoming progressively overtrained on all versions of SWE-Bench (even Pro). We found public results are diverging significantly from performance on private datasets. If you are building workflows, you can't rely on public benches. The "Goldilocks" Workflow: In autonomous mode, heavy multi-step processes often multiply errors rather than fix them. Massive, complex prompt templates look good on paper but fail in practice. The most reliable setups landed in a narrow “Goldilocks” zone of just enough structure without over-orchestration. The app is free to use and supports Claude Code, Codex, Gemini, and Zencoder. We’ve been dogfooding this heavily, but I'd love to hear your thoughts on the default workflows and if they fit your mental model for agentic coding. Download: https://ift.tt/1QgdUiJ YT flyby: https://www.youtube.com/watch?v=67Ai-klT-B8
7 by andrewsthoughts | 2 comments on Hacker News.
Hi HN, I’m Andrew, Founder of Zencoder. While building our IDE extensions and cloud agents, we ran into the same issue many of you likely face when using coding agents in complex repos: agents getting stuck in loops, apologizing, and wasting time. We tried to manage this with scripts, but juggling terminal windows and copy-paste prompting was painful. So we built Zenflow, a free desktop tool to orchestrate AI coding workflows. It handles the things we were missing in standard chat interfaces: Cross-Model Verification: You can have Codex review Claude’s code, or run them in parallel to see which model handles the specific context better. Parallel Execution: Run five different approaches on a backlog item simultaneously—mix "Human-in-the-Loop" for hard problems with "YOLO" runs for simple tasks. Dynamic Workflows: Configured via simple .md files. Agents can actually "rewire" the next steps of the workflow dynamically based on the problem at hand. Project list/kanban views across all workload What we learned building this To tune Zenflow, we ran 100+ experiments across public benchmarks (SWE-Bench-*, T-Bench) and private datasets. Two major takeaways that might interest this community: Benchmark Saturation: Models are becoming progressively overtrained on all versions of SWE-Bench (even Pro). We found public results are diverging significantly from performance on private datasets. If you are building workflows, you can't rely on public benches. The "Goldilocks" Workflow: In autonomous mode, heavy multi-step processes often multiply errors rather than fix them. Massive, complex prompt templates look good on paper but fail in practice. The most reliable setups landed in a narrow “Goldilocks” zone of just enough structure without over-orchestration. The app is free to use and supports Claude Code, Codex, Gemini, and Zencoder. We’ve been dogfooding this heavily, but I'd love to hear your thoughts on the default workflows and if they fit your mental model for agentic coding. Download: https://ift.tt/1QgdUiJ YT flyby: https://www.youtube.com/watch?v=67Ai-klT-B8
Monday, 15 December 2025
New top story on Hacker News: Show HN: 100 Million splats, a whole town, rendered in M2 MacBook Air
Show HN: 100 Million splats, a whole town, rendered in M2 MacBook Air
21 by Arun_Kurian | 3 comments on Hacker News.
Written natively from scratch in Metal and Swift. Build for AirVis app.
21 by Arun_Kurian | 3 comments on Hacker News.
Written natively from scratch in Metal and Swift. Build for AirVis app.
Sunday, 14 December 2025
Saturday, 13 December 2025
Friday, 12 December 2025
Thursday, 11 December 2025
Wednesday, 10 December 2025
Tuesday, 9 December 2025
Monday, 8 December 2025
Sunday, 7 December 2025
Saturday, 6 December 2025
Friday, 5 December 2025
Thursday, 4 December 2025
Wednesday, 3 December 2025
New top story on Hacker News: Show HN: Fresh – A new terminal editor built in Rust
Show HN: Fresh – A new terminal editor built in Rust
9 by _sinelaw_ | 7 comments on Hacker News.
I built Fresh to challenge the status quo that terminal editing must require a steep learning curve or endless configuration. My goal was to create a fast, resource-efficient TUI editor with the usability and features of a modern GUI editor (like a command palette, mouse support, and LSP integration). Core Philosophy: - Ease-of-Use: Fundamentally non-modal. Prioritizes standard keybindings and a minimal learning curve. - Efficiency: Uses a lazy-loading piece tree to avoid loading huge files into RAM - reads only what's needed for user interactions. Coded in Rust. - Extensibility: Uses TypeScript (via Deno) for plugins, making it accessible to a large developer base. The Performance Challenge: I focused on resource consumption and speed with large file support as a core feature. I did a quick benchmark loading a 2GB log file with ANSI color codes. Here is the comparison against other popular editors: - Fresh: Load Time: *~600ms* | Memory: *~36 MB* - Neovim: Load Time: ~6.5 seconds | Memory: ~2 GB - Emacs: Load Time: ~10 seconds | Memory: ~2 GB - VS Code: Load Time: ~20 seconds | Memory: OOM Killed (~4.3 GB available) (Only Fresh rendered the ansi colors.) Development process: I embraced Claude Code and made an effort to get good mileage out of it. I gave it strong specific directions, especially in architecture / code structure / UX-sensitive areas. It required constant supervision and re-alignment, especially in the performance critical areas. Added very extensive tests (compared to my normal standards) to keep it aligned as the code grows. Especially, focused on end-to-end testing where I could easily enforce a specific behavior or user flow. Fresh is an open-source project (GPL-2) seeking early adopters. You're welcome to send feedback, feature requests, and bug reports. Website: https://sinelaw.github.io/fresh/ GitHub Repository: https://ift.tt/Zzm6UEl
9 by _sinelaw_ | 7 comments on Hacker News.
I built Fresh to challenge the status quo that terminal editing must require a steep learning curve or endless configuration. My goal was to create a fast, resource-efficient TUI editor with the usability and features of a modern GUI editor (like a command palette, mouse support, and LSP integration). Core Philosophy: - Ease-of-Use: Fundamentally non-modal. Prioritizes standard keybindings and a minimal learning curve. - Efficiency: Uses a lazy-loading piece tree to avoid loading huge files into RAM - reads only what's needed for user interactions. Coded in Rust. - Extensibility: Uses TypeScript (via Deno) for plugins, making it accessible to a large developer base. The Performance Challenge: I focused on resource consumption and speed with large file support as a core feature. I did a quick benchmark loading a 2GB log file with ANSI color codes. Here is the comparison against other popular editors: - Fresh: Load Time: *~600ms* | Memory: *~36 MB* - Neovim: Load Time: ~6.5 seconds | Memory: ~2 GB - Emacs: Load Time: ~10 seconds | Memory: ~2 GB - VS Code: Load Time: ~20 seconds | Memory: OOM Killed (~4.3 GB available) (Only Fresh rendered the ansi colors.) Development process: I embraced Claude Code and made an effort to get good mileage out of it. I gave it strong specific directions, especially in architecture / code structure / UX-sensitive areas. It required constant supervision and re-alignment, especially in the performance critical areas. Added very extensive tests (compared to my normal standards) to keep it aligned as the code grows. Especially, focused on end-to-end testing where I could easily enforce a specific behavior or user flow. Fresh is an open-source project (GPL-2) seeking early adopters. You're welcome to send feedback, feature requests, and bug reports. Website: https://sinelaw.github.io/fresh/ GitHub Repository: https://ift.tt/Zzm6UEl
Tuesday, 2 December 2025
Monday, 1 December 2025
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