The best Hacker News stories from Show from the past day
Latest posts:
Show HN: I invented a new generative model and got accepted to ICLR
I invented Discrete Distribution Networks, a novel generative model with simple principles and unique properties, and the paper has been accepted to ICLR2025!<p>Modeling data distribution is challenging; DDN adopts a simple yet fundamentally different approach compared to mainstream generative models (Diffusion, GAN, VAE, autoregressive model):<p>1. The model generates multiple outputs simultaneously in a single forward pass, rather than just one output.
2. It uses these multiple outputs to approximate the target distribution of the training data.
3. These outputs together represent a discrete distribution. This is why we named it "Discrete Distribution Networks".<p>Every generative model has its unique properties, and DDN is no exception. Here, we highlight three characteristics of DDN:<p>- Zero-Shot Conditional Generation (ZSCG).
- One-dimensional discrete latent representation organized in a tree structure.
- Fully end-to-end differentiable.<p>Reviews from ICLR:<p>> I find the method novel and elegant. The novelty is very strong, and this should not be overlooked. This is a whole new method, very different from any of the existing generative models.
> This is a very good paper that can open a door to new directions in generative modeling.
Show HN: I invented a new generative model and got accepted to ICLR
I invented Discrete Distribution Networks, a novel generative model with simple principles and unique properties, and the paper has been accepted to ICLR2025!<p>Modeling data distribution is challenging; DDN adopts a simple yet fundamentally different approach compared to mainstream generative models (Diffusion, GAN, VAE, autoregressive model):<p>1. The model generates multiple outputs simultaneously in a single forward pass, rather than just one output.
2. It uses these multiple outputs to approximate the target distribution of the training data.
3. These outputs together represent a discrete distribution. This is why we named it "Discrete Distribution Networks".<p>Every generative model has its unique properties, and DDN is no exception. Here, we highlight three characteristics of DDN:<p>- Zero-Shot Conditional Generation (ZSCG).
- One-dimensional discrete latent representation organized in a tree structure.
- Fully end-to-end differentiable.<p>Reviews from ICLR:<p>> I find the method novel and elegant. The novelty is very strong, and this should not be overlooked. This is a whole new method, very different from any of the existing generative models.
> This is a very good paper that can open a door to new directions in generative modeling.
Show HN: I invented a new generative model and got accepted to ICLR
I invented Discrete Distribution Networks, a novel generative model with simple principles and unique properties, and the paper has been accepted to ICLR2025!<p>Modeling data distribution is challenging; DDN adopts a simple yet fundamentally different approach compared to mainstream generative models (Diffusion, GAN, VAE, autoregressive model):<p>1. The model generates multiple outputs simultaneously in a single forward pass, rather than just one output.
2. It uses these multiple outputs to approximate the target distribution of the training data.
3. These outputs together represent a discrete distribution. This is why we named it "Discrete Distribution Networks".<p>Every generative model has its unique properties, and DDN is no exception. Here, we highlight three characteristics of DDN:<p>- Zero-Shot Conditional Generation (ZSCG).
- One-dimensional discrete latent representation organized in a tree structure.
- Fully end-to-end differentiable.<p>Reviews from ICLR:<p>> I find the method novel and elegant. The novelty is very strong, and this should not be overlooked. This is a whole new method, very different from any of the existing generative models.
> This is a very good paper that can open a door to new directions in generative modeling.
Show HN: I wrote a full text search engine in Go
Show HN: I wrote a full text search engine in Go
Show HN: I wrote a full text search engine in Go
Show HN: I wrote a full text search engine in Go
Show HN: I've built a tiny hand-held keyboard
I bet you didn't knew you can use modelling clay (as opposed to 3d printing) to make nice devices by hand :)
Show HN: I've built a tiny hand-held keyboard
I bet you didn't knew you can use modelling clay (as opposed to 3d printing) to make nice devices by hand :)
Show HN: I've built a tiny hand-held keyboard
I bet you didn't knew you can use modelling clay (as opposed to 3d printing) to make nice devices by hand :)
Show HN: I've built a tiny hand-held keyboard
I bet you didn't knew you can use modelling clay (as opposed to 3d printing) to make nice devices by hand :)
Show HN: I built a web framework in C
Show HN: I built a web framework in C
Show HN: DidMySettingsChange – A tool that checks changed windows settings
Microsoft has been under heavy scrutiny with how they manage Windows over the years, particularly concerning privacy and telemetry settings. Many users find that after disabling certain settings, these settings are mysteriously re-enabled after updates or without any apparent reason. DidMySettingsChange is a Python script designed to help users keep track of their Windows privacy and telemetry settings, ensuring that they stay in control of their privacy without the hassle of manually checking each setting.
Features<p><pre><code> Comprehensive Checks: Automatically scans all known Windows privacy and telemetry settings.
Change Detection: Alerts users if any settings have been changed from their preferred state.
Customizable Configuration: Allows users to specify which settings to monitor.
Easy to Use: Simple command-line interface that provides clear and concise output.
Logs and Reports: Generates detailed logs and reports for auditing and troubleshooting.</code></pre>
Show HN: I built a local-first podcast app
I worked on early podcast software in 2004 (iPodder/Juice) and have been a heavy podcast consumer ever since. I wanted a podcast app that respects your privacy and embraces the open web—and to explore what's possible in the browser.<p>The result is wherever.audio, which you can try right now at the link above.<p>How it works: It's a progressive web app that stores all your subscriptions and data locally in your browser using IndexedDB. Add it to your home screen and it feels native. Works offline with downloaded episodes. No central server storing your data—just some Cloudflare/AWS helpers to smooth out browser limitations.<p>What makes it different:<p>- True local-first: Your data stays on your device<p>- Custom feeds: Add any RSS feed, not just what's in a directory<p>- On-device search: Search across all feeds and episodes, including your custom ones<p>- Podcasting 2.0 support: Chapters, transcripts, funding tags, and others<p>- Auto-generated chapters: For popular shows that don't have them<p>- AI-powered discovery: Ask questions to find shows and episodes (this feature does send queries to a 3rd party API, and also uses anonymized analytics while we work out the prompts)<p>- Audio-guided tutorials: Interactive walkthroughs with voice guidance and visual cues<p>The basics work well too: Standard playback features, queue management, speed controls, etc.<p>I'm really interested in feedback—this is more passion project than business right now. I've been dogfooding it as my daily podcast app for over a year, and I'm open to exploring making it a business if people find it valuable. Curious if there are unmet needs that a privacy-focused, open web approach could address.
Show HN: I built a local-first podcast app
I worked on early podcast software in 2004 (iPodder/Juice) and have been a heavy podcast consumer ever since. I wanted a podcast app that respects your privacy and embraces the open web—and to explore what's possible in the browser.<p>The result is wherever.audio, which you can try right now at the link above.<p>How it works: It's a progressive web app that stores all your subscriptions and data locally in your browser using IndexedDB. Add it to your home screen and it feels native. Works offline with downloaded episodes. No central server storing your data—just some Cloudflare/AWS helpers to smooth out browser limitations.<p>What makes it different:<p>- True local-first: Your data stays on your device<p>- Custom feeds: Add any RSS feed, not just what's in a directory<p>- On-device search: Search across all feeds and episodes, including your custom ones<p>- Podcasting 2.0 support: Chapters, transcripts, funding tags, and others<p>- Auto-generated chapters: For popular shows that don't have them<p>- AI-powered discovery: Ask questions to find shows and episodes (this feature does send queries to a 3rd party API, and also uses anonymized analytics while we work out the prompts)<p>- Audio-guided tutorials: Interactive walkthroughs with voice guidance and visual cues<p>The basics work well too: Standard playback features, queue management, speed controls, etc.<p>I'm really interested in feedback—this is more passion project than business right now. I've been dogfooding it as my daily podcast app for over a year, and I'm open to exploring making it a business if people find it valuable. Curious if there are unmet needs that a privacy-focused, open web approach could address.
Show HN: FleetCode – Open-source UI for running multiple coding agents
Hi HN! I've recently been finding productivity in running parallel CLI coding agents(after not believing in them initially).<p>After having to do a ton of git stashing and branch fumbling, I decided I needed to something to more ergonomically run these agents in their own dedicated spaces.<p>I tried a lot of the existing products but they either were too convoluted or flat out didn't work. Some of them also seem to roll their own chat UI which I don't think is the right approach, I wanted to something to lightly wrap my terminal sessions.<p>So I built FleetCode! It uses git worktrees and let's you run multiple agents at once. It's made my multi agent coding workflow much easier.<p>It's free and open source, would love some feedback!
Show HN: FleetCode – Open-source UI for running multiple coding agents
Hi HN! I've recently been finding productivity in running parallel CLI coding agents(after not believing in them initially).<p>After having to do a ton of git stashing and branch fumbling, I decided I needed to something to more ergonomically run these agents in their own dedicated spaces.<p>I tried a lot of the existing products but they either were too convoluted or flat out didn't work. Some of them also seem to roll their own chat UI which I don't think is the right approach, I wanted to something to lightly wrap my terminal sessions.<p>So I built FleetCode! It uses git worktrees and let's you run multiple agents at once. It's made my multi agent coding workflow much easier.<p>It's free and open source, would love some feedback!
Show HN: Oh Yah – Routine management app I built for my sons
Hi HN! I built Oh Yah! to help my sons (age 7 and 10) stick to daily routines without constant reminders. The core idea: minimal distractions during tasks by locking navigation when a timer is running, plus optional photo-based task completion for accountability<p>Built with React Native/Expo and Firebase. The trickiest part was designing the UX to be simple enough for kids with minimal distractions while giving parents enough control – ended up with a task-definition system that lets parents create weekly schedules with daily toggles instead of duplicating tasks across days<p>It's on the App Store now after a few months of dogfooding with my family. There's a 1-month free trial, then it's subscription-based. Would love feedback from other parents dealing with similar challenges
Show HN: Oh Yah – Routine management app I built for my sons
Hi HN! I built Oh Yah! to help my sons (age 7 and 10) stick to daily routines without constant reminders. The core idea: minimal distractions during tasks by locking navigation when a timer is running, plus optional photo-based task completion for accountability<p>Built with React Native/Expo and Firebase. The trickiest part was designing the UX to be simple enough for kids with minimal distractions while giving parents enough control – ended up with a task-definition system that lets parents create weekly schedules with daily toggles instead of duplicating tasks across days<p>It's on the App Store now after a few months of dogfooding with my family. There's a 1-month free trial, then it's subscription-based. Would love feedback from other parents dealing with similar challenges