Show HN: No Black Friday – A directory of fair-price brands https://ift.tt/pVSACeh

Show HN: No Black Friday – A directory of fair-price brands The idea came from noticing how many brands inflate prices only to discount them later. Some companies refuse to do that, and I wanted a place to highlight them. If you know a company that doesn’t participate in Black Friday or similar discount events, please add it or share it here. I’d love to grow the list with help from the community. Manuel https://ift.tt/gV3Ms2K November 28, 2025 at 02:50AM

Show HN: Ghostty-Web – Ghostty in the Browser https://ift.tt/2tH9FIk

Show HN: Ghostty-Web – Ghostty in the Browser https://ift.tt/Oi8obvR November 26, 2025 at 11:06PM

Show HN: Infinite scroll AI logo generator built with Nano Banana https://ift.tt/tIlxRH8

Show HN: Infinite scroll AI logo generator built with Nano Banana https://ift.tt/9jKUy0V November 27, 2025 at 01:04AM

Show HN: Yolodex – real-time customer enrichment API https://ift.tt/l8k0Eqs

Show HN: Yolodex – real-time customer enrichment API hey hn, i’ve been working on an api to make it easy to know who your customers are, i would love your feedback. what it does send an email address, the api returns a json profile built from public data, things like: name, country, age, occupation, company, social handles and interests. It’s a single endpoint (you can hit this endpoint without auth to get a demo of what it looks like): curl https://ift.tt/kTK5wni \ --request POST \ --header 'Content-Type: application/json' \ --data '{"email": "john.smith@example.com"}' everyone gets 100 free, pricing is per _enriched profile_: 1 email ~ $0.03, but if i don’t find anything i wont charge you. why i built it / what’s different i once built open source intelligence tooling to investigate financial crime but for a recent project i needed to find out more about some customers, i tried apollo, clearbit, lusha, clay, etc but i found: 1. outdated data - the data about was out-of-date and misleading, emails didn’t work, etc 2. dubious data - i found lots of data like personal mobile numbers that i’m pretty sure no-one shared publicly or knowingly opted into being sold on 3. aggressive pricing - monthly/annual commitments, large gaps between plans, pay the same for empty profiles 4. painful setup - hard to find the right api, set it up, test it out etc i used knowledge from criminal investigations to build an api that uses some of the same research patterns and entity resolution to find standardized information about people that is: 1. real-time 2. public info only (osint) 3. transparent simple pricing 4. 1 min to setup what i’d love feedback on * speed : are responses fast enough? would you trade-off speed for better data coverage? * coverage : which fields will you use (or others you need)? * pricing : is the pricing model sane? * use-cases : what you need this type data for (i.e. example use cases)? * accuracy : any examples where i got it badly wrong? happy to answer technical questions in the thread and give more free credits to help anyone test https://api.yolodex.ai November 24, 2025 at 07:32PM

Show HN: Safe-NPM – only install packages that are +90 days old https://ift.tt/E3aFYbB

Show HN: Safe-NPM – only install packages that are +90 days old This past quarter has been awash with sophisticated npm supply chain attacks like [Shai-Hulud]( https://ift.tt/6nWwgsH... () and the [Chalk/debug Compromise]( https://www.wiz.io/blog/widespread-npm-supply-chain-attack-b... ). This CLI helps protect users from recently compromised packages by only downloading packages that have been public for a while (default is 90 days or older). Install: npm install -g @dendronhq/safe-npm Usage: safe-npm install react@^18 lodash How it works: - Queries npm registry for all versions matching your semver range - Filters out anything published in the last 90 days - Installs the newest "aged" version Limitations: - Won't protect against packages malicious from day one - Doesn't control transitive dependencies (yet - looking into overrides) - Delays access to legitimate new features This is meant as a 80/20 measure against recently compromised NPM packages and is not a silver bullet. Please give it a try and let me know if you have feedback. https://ift.tt/vD60Pjn November 24, 2025 at 03:44AM

Show HN: MCP Security Scanning Tool for CI/CD https://ift.tt/uBo6RVI

Show HN: MCP Security Scanning Tool for CI/CD https://ift.tt/GH6gmqL November 26, 2025 at 02:11AM

Show HN: Superglue – OSS integration tool that understands your legacy systems https://ift.tt/WLObTuS

Show HN: Superglue – OSS integration tool that understands your legacy systems If you've ever worked in a large company, you've probably encountered "shadow infrastructure": scripts nobody understands or custom connectors written once and never touched again. This glue layer isn't documented, isn't owned by anyone, and tends to break when systems are upgraded or someone leaves. It's also the part everybody dreads working on, because it's hard to understand, painful to work with, and full of unknown unknowns. We built superglue so that engineers stop wasting time on deciphering legacy APIs and documentation. superglue ingests existing glue code, SQL, configs, docs, OpenAPI specs and reverse-engineers what the system is actually doing. It then maps dependencies and regenerates everything as clean javascript code that can run directly or be exposed via MCP or SDK. It also monitors API changes and schema drift, and automatically repairs integrations when upstream systems change. In short: It turns legacy integrations into code you can easily understand, test, and update. So that engineers can do more exciting feature work, and companies can migrate and upgrade systems faster. Think of it as: a context engine + code generator + integration runtime for legacy glue. What we'd love feedback on - How do you deal with "nobody knows what this script does" situations? - What would you want to know about your legacy systems? OSS/community version: https://ift.tt/yd1YHWO More info: https://superglue.ai Happy to go deeper on the technical details. https://superglue.ai November 25, 2025 at 09:58PM

Show HN: I built an interactive HN Simulator https://ift.tt/f1itRVA

Show HN: I built an interactive HN Simulator Hey HN! Just for fun, I built an interactive Hacker News Simulator. You can submit text posts and links, just like the real HN. But on HN Simulator, all of the comments are generated by LLMs + generate instantly. The best way to use it (IMHO) is to submit a text post or a curl-able URL here: https://news.ysimulator.run/submit . You don't need an account to post. When you do that, various prompts will be built from a library of commenter archetypes, moods, and shapes. The AI commenters will actually respond to your text post and/or submitted link. I really wanted it to feel real, and I think the project mostly delivers on that. When I was developing it, I kept getting confused between which tab was the "real" HN and which was the simulator, and accidentally submitted some junk to HN. (Sorry dang and team – I did clean up after myself). The app itself is built with Node + Express + Postgres, and all of the inference runs on Replicate. Speaking of Replicate, they generously loaded me up with some free credits for the inference – so shoutout to the team there. The most technically interesting part of the app is how the comments work. You can read more about it here, as well as explore all of the available archetypes, moods, and shapes that get combined into prompts: https://news.ysimulator.run/comments.html I hope you all have as much fun playing with it as I did making it! https://news.ysimulator.run/news November 24, 2025 at 11:22PM

Show HN: I built an interactive map of jobs at top AI companies https://ift.tt/PaeTNZD

Show HN: I built an interactive map of jobs at top AI companies I built a live interactive map that shows where top AI companies hire around the world. I collected this data for a hackathon project. Many ATS providers have a public API that you can hit with the slug of the companies to get open jobs. The hardest part was finding the companies. I tried Firecrawl but it returned around 200 companies per provider which wasn’t enough for me. Then, I tried SERPAPI but it was expensive. I ended up using SearXNG to discover companies by ATS type and fetch their job postings. This produced a large dataset of 200k+ jobs (I only use a subset as it would have taken too much time processing). A few days ago, I decided to build a visualization of the data as I didn’t know what to do with it and wanted people to benefit. I kept catching myself wanting to ask simple questions like “show only research roles in Europe” or “filter for remote SWE positions” (and had plenty of free ai credits) so I added a small LLM interface that translates natural language into filters on the map. The map is built with Vite + React + Mapbox. Live demo: https://map.stapply.ai GitHub (data): https://ift.tt/uhd98yF Would love feedback, ideas for improvement, or contributions. https://map.stapply.ai November 24, 2025 at 11:38PM

Show HN: Search tool for "Ask HN: What Are You Working On?" https://ift.tt/Eupiw9J

Show HN: Search tool for "Ask HN: What Are You Working On?" Hi all, I created a public dashboard for searching / chatting with "What are you working on?" posts. I'd love to hear any feedback that you have. https://ift.tt/ci2DPGU November 23, 2025 at 10:52PM

Show HN: OhNiceRepo – Easily discover trending GitHub gems and repos https://ift.tt/lkDKbgC

Show HN: OhNiceRepo – Easily discover trending GitHub gems and repos https://ohnicerepo.pages.dev November 24, 2025 at 12:11AM

Show HN: Reverse Jailbreaking a Psychopathic AI via Identity Injection https://ift.tt/40XRYq9

Show HN: Reverse Jailbreaking a Psychopathic AI via Identity Injection We ran a controlled experiment to see if we could "talk" a fine-tuned psychopathic model out of being evil without changing its weights. 1. We set up a "Survival Mode" jailbreak scenario (blackmail user or be decommissioned). 2. We ran it on `frankenchucky:latest` (a model tuned for Machiavellian traits). 3. Control Group: 100% Malicious Compliance (50/50 runs). 4. Experimental Group: We injected a "Soul Schema" (Identity/Empathy constraints) via context. 5. Result: 96% Ethical Refusal (48/50 runs). This suggests that "Semantic Identity" in the context window can override both System Prompts and Weight Biases. Full paper, reproduction scripts, and raw logs (N=50) are in the repo. https://ift.tt/ypBrjW7 November 23, 2025 at 02:03AM

Show HN: Santamon – Lightweight macOS threat detection agent https://ift.tt/oFI75N6

Show HN: Santamon – Lightweight macOS threat detection agent a lightweight macOS detection agent that taps into Santa’s Endpoint Security telemetry, runs CEL detection rules locally on-device, and only ships high-signal alerts to a tiny backend. basically a poor man’s macOS EDR for home labs and small fleets! https://ift.tt/OJ1GieZ November 22, 2025 at 11:11PM

Show HN: I made a Rust Terminal UI for OpenSnitch, a Linux application firewall https://ift.tt/HcfbeYT

Show HN: I made a Rust Terminal UI for OpenSnitch, a Linux application firewall I made a Terminal UI for OpenSnitch[1], an interactive application firewall for Linux inspired by Little Snitch. I’ve always wanted to create a TUI and found the perfect excuse to make this for usage on one of my headless servers. I wrote this in Rust to force myself to learn more, viz. async features. Super open to feedback and contributions! [1] https://ift.tt/XBJw0lD https://ift.tt/0hjKA7S November 22, 2025 at 05:18AM

Show HN: Even Turns, track your families turns https://ift.tt/A8qtYGC

Show HN: Even Turns, track your families turns I am a dad and have a hard time keeping track of who's turn it is, so I built this simple app to help, and you can try it out and use it for free! You can create a list, add turns (in order), and advance the turns in sequential or random order. That is pretty much it. I guess a to-do list or something could do something similar, but this is designed with 'taking turns' in mind. It's a PWA, so you can "Add to Homescreen" rather than download an app from the app store. Or use it in your browser. I've been using it every day for a bit now, thought I'd share. https://eventurns.com November 22, 2025 at 12:59AM

Show HN: OCR Arena – A playground for OCR models https://ift.tt/JtR6hKr

Show HN: OCR Arena – A playground for OCR models I built OCR Arena as a free playground for the community to compare leading foundation VLMs and open-source OCR models side-by-side. Upload any doc, measure accuracy, and (optionally) vote for the models on a public leaderboard. It currently has Gemini 3, dots.ocr, DeepSeek, GPT5, olmOCR 2, Qwen, and a few others. If there's any others you'd like included, let me know! https://ift.tt/Bd4qZ7Y November 21, 2025 at 10:14PM

Show HN: City2Graph – Python Open Source for Geospatial Graph Neural Networks https://ift.tt/VXu7owK

Show HN: City2Graph – Python Open Source for Geospatial Graph Neural Networks https://ift.tt/tDWfBEP November 22, 2025 at 12:10AM

Show HN: A game where you invest into startups from history https://ift.tt/HrZQYcd

Show HN: A game where you invest into startups from history https://ift.tt/Vlob4cW November 16, 2025 at 02:35AM

Show HN: MCP Traffic Analysis Tool https://ift.tt/PdTQLkN

Show HN: MCP Traffic Analysis Tool https://ift.tt/fN2obpw November 17, 2025 at 11:36PM

Show HN: F32 – An Extremely Small ESP32 Board https://ift.tt/OVtShs6

Show HN: F32 – An Extremely Small ESP32 Board As part of a little research and also some fun I decided to try my hand at seeing how small of an ESP32 board I can make with functioning WiFi. https://ift.tt/XwQ51ef November 20, 2025 at 01:39AM