Show HN: I rewrote my 2012 self-signed cert generator in Go – cert-depot.com https://ift.tt/Vjgmyx2

Show HN: I rewrote my 2012 self-signed cert generator in Go – cert-depot.com Back in 2012 I built https://cert-depot.com as a weekend project. Node.js + Express + jQuery, shelling out to OpenSSL for certificate generation. It worked but I eventually let it rot. https://ift.tt/2DUMNeR Rewrote it from scratch in Go. The entire thing is a single binary with no external dependencies: 1. Certificate generation uses Go's crypto/x509 (no OpenSSL) 2. Certificates are generated in memory and streamed directly — nothing is stored on the server 3. RSA 2048/4096 and ECDSA P-256/P-384 4. Subject Alternative Names (required by browsers since Chrome 58) 5. ZIP (PEM files) or PFX/PKCS#12 output You comments / suggestions / bug reports are very welcome. Thanks. Source: https://ift.tt/bG7qm0I April 2, 2026 at 09:36AM

Show HN: Open-source ontology – SEC fund filings https://ift.tt/kCsLgXw

Show HN: Open-source ontology – SEC fund filings Working on a schema for joining SEC fund filings across documents. The core problem: these filings describe the same fund in different formats and no standard exists for cross-document semantic queries. Interested in feedback on the ontology design — especially from anyone working with fund data, XBRL, or FIBO. https://ift.tt/hQKcf0I April 6, 2026 at 12:14AM

Show HN: Self-Host Excalidraw with Collaboration and Storage https://ift.tt/TEFdOGP

Show HN: Self-Host Excalidraw with Collaboration and Storage https://ift.tt/IBhijJ2 April 4, 2026 at 08:13PM

Show HN: Rust HTTP library modeled after Go but 2-3x faster https://ift.tt/pDY5jAk

Show HN: Rust HTTP library modeled after Go but 2-3x faster https://ift.tt/N5V61vh April 4, 2026 at 01:26AM

Show HN: AI agent skills for affiliate marketing (Markdown, works with any LLM) https://ift.tt/Srtlsxk

Show HN: AI agent skills for affiliate marketing (Markdown, works with any LLM) https://ift.tt/ucrtC9f April 3, 2026 at 06:28PM

Show HN: Wazear – A visual AI orchestrator where agents review each other https://ift.tt/3Br8Uuo

Show HN: Wazear – A visual AI orchestrator where agents review each other Hey folks, For the past month I've been working on a visual AI orchestartor tool that allows users to create a pipeline similar to SDLC. Basically you fire up Wazear, create a project and add your brief. You select the agents (each agent serves a role such as planner, architect, etc...) and set which agent reviews which other agent's work and let it do the work. At any point you can pause the pipeline to review output yourself. You can check it out here: https://wazear.space . Any feedback is welcome. Thank you very much. Best Regards. April 3, 2026 at 04:52AM

Show HN: I thought merging two photos with AI would be a weekend project. Nope https://ift.tt/MG1n6jI

Show HN: I thought merging two photos with AI would be a weekend project. Nope At a friend's gathering, someone mentioned wanting to add her late father into a family photo. I figured this would be trivial — modern image models are powerful, just send two photos and ask the AI to merge them. She said she'd tried, but the results were weird and unstable, and she didn't know how to describe what she wanted. I went home and tried it myself. With a well-written prompt and two good photos, it works. But real-world use cases aren't two good photos — it's a modern family photo plus a damaged old portrait, or two old photos from different decades. That's when things fall apart. I looked at existing tools. Most showcase merges between clean, well-lit, modern photos. Nobody was solving the hard version: mismatched eras, damaged sources, different poses, different formality levels. I thought it would be a weekend project — one system prompt and done. After 200+ test iterations I realized stable results require much more than prompt engineering. The main challenges: The AI subtly changes faces during merging. The result looks "similar" but isn't the same person. For someone trying to add a deceased loved one, that's a complete failure. Posture and scale need to match. If the group is sitting on grass and the added person is standing like a giant, it's obviously fake. Casual accessories from a reference photo break formal scenes — sunglasses on the head at a wedding, sportswear at a ceremony. Old photos have low resolution, damage, and no color. Merging, restoring, and colorizing at the same time makes everything harder. It supports headshots, half-body, and full-body reference photos. Old and damaged photos work too — with optional colorization and restoration. Still an MVP. Free to use once per day, no login required. https://ift.tt/BqK79zC Would love to hear about edge cases that break it. https://ift.tt/BqK79zC April 3, 2026 at 03:32AM