The best Hacker News stories from Show from the past day
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Show HN: The DNA of DOOM – How code structure survives across 44 ports
I used my custom built structural extraction engine to analyze 44 DOOM ports across history to see what functions remain, if the keyword structure of those functions remained, if comparable call networks could be seen, etc. - <a href="https://github.com/squid-protocol/gitgalaxy" rel="nofollow">https://github.com/squid-protocol/gitgalaxy</a>
Show HN: Stroq – a local audit of what your coding agent did and why
Show HN: A decent text-to-image model trained for ~$20K (Apache 2.0 Weights)
My brother and I run a 2-person lab that trains our own generative video models from scratch. The ultimate goal is a set of creative tools that make it easier for anyone to make animation.<p>Video models today are too slow/expensive and lack sufficient controls. Creativity is an iterative process. You make, you tweak, you get better. In our opinion, they're not usable yet for storytelling.<p>When we set out to build Linum v3 (our next video model) earlier this year, the primary goal was to bring the cost envelope of inference down significantly. If our model is fast and cheap, it's the first step (of many) towards useful creative tools.<p>Typically, you see "latent diffusion models". A VAE (Variational Autoencoder) compresses the input data into a smaller "latent space" and the diffusion model learns how to generate within this subspace.<p>Over the past few months, we've been publishing our work on efficient pixel-space diffusion models. These throw away the VAE, having the diffusion model learn a latent-space optimized for its exact task.<p>This serves 3 purposes:
1) Simplify Architecture (no 2-stage model training)
2) Faster Convergence (11x faster convergence vs. our latent diffusion counterpart)
3) Cheaper Inference (4x more aggressive token reduction in attention context-windows, without significant loss in quality)<p>This past month we were pressure testing our latest architecture (Pyramid-JiT) by training a text-to-image model longer than the typical one-off experiment. Specifically, we trained it for ~$20K on 660M samples.<p>We were surprised by the quality of results, so we thought we'd release it as open weights for the community (Apache 2.0). The research itself is already public, on our website.<p>For us, it's a big stepping stone towards cheaper video models, since pretty much all video models start as image models. We like to say these models have to learn nouns before they learn verbs.
Show HN: After a decade of reversing, I got co-op working in DOS Wing Commander
Show HN: After a decade of reversing, I got co-op working in DOS Wing Commander
Show HN: Kairos – Open-source risk and fraud decisioning platform
Hey HN, Ayan here from Finic. We’re launching Kairos, an open source alternative to Sift, Sardine, and other real-time fraud decisioning platforms. Kairos addresses two of the biggest problems facing traditional decisioning tools: a lack of labeled data to train on and dealing with fraudsters that are constantly changing their tactics.<p>1. Traditional fraud solutions use ML models such as XGBoost to detect fraud, but these models are dependent on quality labeled data which many businesses do not have. We address this by using “System One” decision models in additional to traditional models such as XGBoost and logistic regression. This allows you to incorporate plain language questions such as “Is this a throwaway email” into your decisioning, bypassing the need for large amounts of labeled data. This also allows you to capture aspects of fraud that are more unstructured, which is something that XGBoost models struggle with.<p>2. Fraud teams are facing off with live players that are constantly changing their behavior to bypass the detection logic they have in place. You can train a detection model or define a ruleset once, but it will become obsolete in a matter of weeks as fraudsters figure out what your detection logic is. This means that you need a team regularly training models and updating rules based on new fraud patterns. Typically this takes a large data science/ML team. Kairos addresses this by introducing an MCP server, so that your agent (Claude Code, Cursor, Codex, etc.) can define a decision workflow, train models on your data, and pick the variant that performs best.<p>You can self-host Kairos with Docker or use the hosted version at <a href="https://kairos.finic.ai">https://kairos.finic.ai</a>
Show HN: Kairos – Open-source risk and fraud decisioning platform
Hey HN, Ayan here from Finic. We’re launching Kairos, an open source alternative to Sift, Sardine, and other real-time fraud decisioning platforms. Kairos addresses two of the biggest problems facing traditional decisioning tools: a lack of labeled data to train on and dealing with fraudsters that are constantly changing their tactics.<p>1. Traditional fraud solutions use ML models such as XGBoost to detect fraud, but these models are dependent on quality labeled data which many businesses do not have. We address this by using “System One” decision models in additional to traditional models such as XGBoost and logistic regression. This allows you to incorporate plain language questions such as “Is this a throwaway email” into your decisioning, bypassing the need for large amounts of labeled data. This also allows you to capture aspects of fraud that are more unstructured, which is something that XGBoost models struggle with.<p>2. Fraud teams are facing off with live players that are constantly changing their behavior to bypass the detection logic they have in place. You can train a detection model or define a ruleset once, but it will become obsolete in a matter of weeks as fraudsters figure out what your detection logic is. This means that you need a team regularly training models and updating rules based on new fraud patterns. Typically this takes a large data science/ML team. Kairos addresses this by introducing an MCP server, so that your agent (Claude Code, Cursor, Codex, etc.) can define a decision workflow, train models on your data, and pick the variant that performs best.<p>You can self-host Kairos with Docker or use the hosted version at <a href="https://kairos.finic.ai">https://kairos.finic.ai</a>
Show HN: I built a tool that prices a pre-built PC part by part
I've missed out on an awesome computer that I could use for a project because figuring out value took too long. Users paste a listing and receive a value grade, dated component estimates and a shareable report. AI reads the listing but my custom built price engine determines the grade (updated every day). Self financed and working now. Looking for feedback re: scoring, interface, and if its helpful. <a href="https://www.youtube.com/watch?v=Tpft--x3WlI" rel="nofollow">https://www.youtube.com/watch?v=Tpft--x3WlI</a>
Show HN: I built a tool that prices a pre-built PC part by part
I've missed out on an awesome computer that I could use for a project because figuring out value took too long. Users paste a listing and receive a value grade, dated component estimates and a shareable report. AI reads the listing but my custom built price engine determines the grade (updated every day). Self financed and working now. Looking for feedback re: scoring, interface, and if its helpful. <a href="https://www.youtube.com/watch?v=Tpft--x3WlI" rel="nofollow">https://www.youtube.com/watch?v=Tpft--x3WlI</a>
Show HN: Uncracked City, detective game where you question LLM suspects that lie
To give you some context on the project. I'm a solo founder and I use AI heavily in my work. The idea came from wanting players to discover cities. Each city has its own history, so every case is set in a real city with real public places. The crime and the people are on other hand invented. The part that I care most is the playable aspect of the game, a model plays the detective and must solve the case before it goes live.<p>As of today: it's free on Android, the iOS version is still waiting to be reviewed by Apple. It's available in six popular languages, but adding more languages is just a matter of time and demand.My long term vision if it takes off: weekly cases, private parties like a team-building escape game, an MCP so a game master can build their own scenario from ChatGPT or Claude, and maybe tourism offices since players travel the world.
Show HN: Uncracked City, detective game where you question LLM suspects that lie
To give you some context on the project. I'm a solo founder and I use AI heavily in my work. The idea came from wanting players to discover cities. Each city has its own history, so every case is set in a real city with real public places. The crime and the people are on other hand invented. The part that I care most is the playable aspect of the game, a model plays the detective and must solve the case before it goes live.<p>As of today: it's free on Android, the iOS version is still waiting to be reviewed by Apple. It's available in six popular languages, but adding more languages is just a matter of time and demand.My long term vision if it takes off: weekly cases, private parties like a team-building escape game, an MCP so a game master can build their own scenario from ChatGPT or Claude, and maybe tourism offices since players travel the world.
Show HN: HackerChurn – which SaaS tools HN wants to cancel
Show HN: HackerChurn – which SaaS tools HN wants to cancel
Show HN: I built a little browser game to practice Vim commands
I made hjkl to help myself remember Vim commands. It’s a little browser game you can play when you want to unwind and get a bit of Vim practice in.<p>There are still a lot of commands I want to add, but I hope someone finds it useful in the meantime :)
Show HN: HackerTV – HN's most-recommended Youtube videos as 24/7 TV channels
I saw HackerTube (<a href="https://news.ycombinator.com/item?id=50319510">https://news.ycombinator.com/item?id=50319510</a>) a few days ago, the YouTube videos HN keeps
recommending, pulled from 19 years of comments. It made me want to flip
through them instead of picking, so I built a TV for it. I have Algo fatigue.<p>Each topic area is a channel (DEVTV, SOLDER, RETRO, ORBIT, ...), plus HN Prime
(the top 400), a music channel, and Late Night on ch 99, which only broadcasts
11pm-5am your local time and shows color bars otherwise.<p>Similar to HackerTube it was built with Claude Code in a few hours.<p>All credit for the data goes to HackerTube. Happy to hear channel ideas.
Show HN: HackerTV – HN's most-recommended Youtube videos as 24/7 TV channels
I saw HackerTube (<a href="https://news.ycombinator.com/item?id=50319510">https://news.ycombinator.com/item?id=50319510</a>) a few days ago, the YouTube videos HN keeps
recommending, pulled from 19 years of comments. It made me want to flip
through them instead of picking, so I built a TV for it. I have Algo fatigue.<p>Each topic area is a channel (DEVTV, SOLDER, RETRO, ORBIT, ...), plus HN Prime
(the top 400), a music channel, and Late Night on ch 99, which only broadcasts
11pm-5am your local time and shows color bars otherwise.<p>Similar to HackerTube it was built with Claude Code in a few hours.<p>All credit for the data goes to HackerTube. Happy to hear channel ideas.
Show HN: HackerTV – HN's most-recommended Youtube videos as 24/7 TV channels
I saw HackerTube (<a href="https://news.ycombinator.com/item?id=50319510">https://news.ycombinator.com/item?id=50319510</a>) a few days ago, the YouTube videos HN keeps
recommending, pulled from 19 years of comments. It made me want to flip
through them instead of picking, so I built a TV for it. I have Algo fatigue.<p>Each topic area is a channel (DEVTV, SOLDER, RETRO, ORBIT, ...), plus HN Prime
(the top 400), a music channel, and Late Night on ch 99, which only broadcasts
11pm-5am your local time and shows color bars otherwise.<p>Similar to HackerTube it was built with Claude Code in a few hours.<p>All credit for the data goes to HackerTube. Happy to hear channel ideas.
Show HN: Hacker Times, a New York Times-inspired version of Hacker News
I thought it would be fun to browse HN as if it were a newspaper. The site updates once an hour. Enjoy!
Show HN: Hacker Times, a New York Times-inspired version of Hacker News
I thought it would be fun to browse HN as if it were a newspaper. The site updates once an hour. Enjoy!
Show HN: HackerHack – HackerBooks but for Posts Posted on HN
No AI used for this btw.