Show HN: PHP-fts – Full-text search engine in pure PHP, no extensions https://ift.tt/K2Zsiqw

Show HN: PHP-fts – Full-text search engine in pure PHP, no extensions https://ift.tt/g586Tik May 7, 2026 at 01:58AM

Show HN: Mac Juice Monitor – Bluetooth battery levels in the macOS menu bar https://ift.tt/nMCQWqz

Show HN: Mac Juice Monitor – Bluetooth battery levels in the macOS menu bar https://ift.tt/yC91MGY May 7, 2026 at 12:58AM

Show HN: DoodleMate: Animate Your Child's Hand Drawings Without Generative AI https://ift.tt/6TLIcdG

Show HN: DoodleMate: Animate Your Child's Hand Drawings Without Generative AI Hi HN! I made an app that takes a photo of a paper drawing and, in a handful of seconds, creates a fully rigged character that can be used in an animation or little story. It doesn’t use any image-to-video generative AI models. Instead, I built it using the years of insights I’ve picked up studying children’s drawings and character animation. Today we’re releasing a community beta. I respect this community and would value any feedback you offer. It’s easy to try- you don’t need to create an account to check it out. We’ve got several free stories to drop your character into, and a Mother’s Day eCard. I’m also working on a tool, DoodleMate Studio, to easily allow people to author their own stories instead of using premade templates. But what form that takes is going to be highly dependent on the type of feedback we get from the community with this beta. How this came to be: I’ve worked in this space for a while. Here’s an old HN post related to a popular tech demo I did ( https://ift.tt/uxzL76y ) and another one from when I open sourced the data and code ( https://ift.tt/y0L8Udz ). I also wrote a SIGGRAPH paper about the methodology ( https://ift.tt/Ihcj6nW ). I’d moved on to other things, but had always felt like there was such potential in this space. Last year I decided I was over big tech and, with a lot of encouragement from my family, finally decided to pursue this seriously. Since then, my wife and I have been building this together. We’re bootstrapping at the moment, trying to give ourselves time and space to make sure DoodleMate turns into something wonderful and wholesome. Thanks, Jesse https://doodlemate.com/ May 6, 2026 at 10:36PM

Show HN: AI-DLC-UML (AI-Driven Development Life Cycle with UML Modeling) https://ift.tt/RHOPGSd

Show HN: AI-DLC-UML (AI-Driven Development Life Cycle with UML Modeling) AI-DLC-UML modifies AI-DLC to enable AI agents to drive the software development workflow with UML modeling. It is intended for those who want to use UML modeling collaboratively in their design practices, even in AI-driven software development. https://ift.tt/oA5pfRV May 5, 2026 at 11:48PM

Show HN: Codeberg (Forgejo) CLI, built with Xclif https://ift.tt/B70dDkz

Show HN: Codeberg (Forgejo) CLI, built with Xclif https://ift.tt/TmPyprH May 5, 2026 at 08:37PM

Show HN: I indexed 8,643 BSides talks across 227 chapters and 6 continents https://ift.tt/uB6DMl2

Show HN: I indexed 8,643 BSides talks across 227 chapters and 6 continents Hi HN, I'm Roland, and for the past few weeks, I've been building AllBSides — a directory of every BSides conference talk uploaded to YouTube. As of today, 8,643 talks from 5,927 speakers across 227 chapters in 68 countries. Combined runtime is 280 days. The transcripts come to about 60 million words. The archive came together in stages: 1. Manually map every BSides chapter's YouTube channel 2. Pull every video and transcript from Supabase 3. Run each transcript through Haiku for tag extraction (tools, topics, difficulty, team, talk style, research method, and much more) 4. Run results through Sonnet for categorization and dedup 5. Final pass goes through Opus for verification 6. Do a manual verification - at one time, the pipeline showed over 16k AI suggestions for manual verification. Today, most are resolved. Total LLM cost so far: about €200. The whole pipeline is rebuildable from scratch. Each talk gets its own page with embedded video, full transcript, speakers, tags, and "related talks." Each tool/framework/protocol/standard mentioned across the corpus gets its own page (3,968 distinct technologies tracked). Some interesting facts I gathered while building it: -(A) The site is currently 94% bot traffic. Of that, about 80,000 hits/month are AI training crawlers (ClaudeBot, GPTBot, meta-externalagent). Within 7 days of the talks archive going live, all major AI labs had ingested the entire corpus. The discovery cascade was startling to watch in real time. -(B) The taxonomy work was the hardest part. Distinguishing "tools" from "frameworks" from "protocols" from "concepts" sounds easy until you have 5,000 ambiguous extracted entities. The 3-tier LLM pipeline helped a lot — Haiku alone was too noisy, Opus alone was too expensive. -(C) Top tools mentioned: Wireshark (343), PowerShell (342), Metasploit (332), Burp Suite (322), GitHub (296), VirusTotal (273), Docker (253), Splunk (251), Nmap (247), MITRE ATT&CK (237). The list reflects what BSides talks actually discuss, not what vendors curate. -(D) May is the peak BSides month — 29 events, 17% of all events with dates. -(E) The top 1% of talks (86 videos by view count) account for 51% of all viewership. The other 99% are deeply niche, often the only video record of a specific technique. The stack is intentionally lean: Go, SQLite, vanilla JavaScript, BunnyCDN. Static rendering at build time. No frameworks, no client-side state. The site costs about €50/month to run. The data behind this post and much more can be found in the site footer, under the link "stats". Happy to answer questions about the data pipeline, the taxonomy decisions, or what the AI crawler patterns looked like as the archive went live. Feedback on what to build next is genuinely welcome — I'm a solo dev figuring this out as I go. — Roland (parkado) https://allbsides.com/ May 5, 2026 at 03:40AM

Show HN: NeuralScript – A pure-Rust AOT compiler https://ift.tt/qA4By9M

Show HN: NeuralScript – A pure-Rust AOT compiler https://ift.tt/FLWn6Vl May 5, 2026 at 01:36AM