Omojo
2.6K posts

Omojo
@iamTonyCletus
I build builders. Applied AI. Perpetually curious. Running @programmify. Research @aani_ai

Hi guys, I built an open-source alternative to @pewbeam_ai in one week. github.com/openbezal/rhema Started coding during a Sunday church service. By the following Sunday, we were using it live during our church service. Wild. Here's what Rhema does: it listens to your pastor's sermon in real-time, detects Bible verse references as they're mentioned, and displays them on screen instantly. No manual clicking, no dedicated slide operator needed. The tech stack: - Tauri 2.0 with a Rust backend handling all the heavy lifting: audio capture, transcription pipeline, verse detection logic, and system tray integration - Local AI embeddings using Qwen3-0.6B so everything runs on-device with zero cloud dependency. Your sermons never leave your machine - Real-time audio transcription paired with semantic search against a full Bible verse database The Rust backend was a deliberate choice. We needed low latency audio processing and efficient memory usage for running an embedding model locally, and Rust delivers on both. Is it perfect? Probably not. But the core functionality works and we're already using it in a real church environment This is where you come in. Rhema is fully open source and we need contributors to help take it to the next level. Whether it's improving the verse detection accuracy, adding multi-language support, building a better overlay UI, adding support for more Bible translations, or optimizing the transcription pipeline, there's real work to be done and real impact to be made. If you're a Rust developer, a frontend engineer, an ML enthusiast, or just someone who loves building tools for the church, come build with us. Star the repo. Fork it. Open a PR. Let's make this the go-to open-source solution for live Bible verse display in churches worldwide. github.com/openbezal/rhema


Hi guys, I built an open-source alternative to @pewbeam_ai in one week. github.com/openbezal/rhema Started coding during a Sunday church service. By the following Sunday, we were using it live during our church service. Wild. Here's what Rhema does: it listens to your pastor's sermon in real-time, detects Bible verse references as they're mentioned, and displays them on screen instantly. No manual clicking, no dedicated slide operator needed. The tech stack: - Tauri 2.0 with a Rust backend handling all the heavy lifting: audio capture, transcription pipeline, verse detection logic, and system tray integration - Local AI embeddings using Qwen3-0.6B so everything runs on-device with zero cloud dependency. Your sermons never leave your machine - Real-time audio transcription paired with semantic search against a full Bible verse database The Rust backend was a deliberate choice. We needed low latency audio processing and efficient memory usage for running an embedding model locally, and Rust delivers on both. Is it perfect? Probably not. But the core functionality works and we're already using it in a real church environment This is where you come in. Rhema is fully open source and we need contributors to help take it to the next level. Whether it's improving the verse detection accuracy, adding multi-language support, building a better overlay UI, adding support for more Bible translations, or optimizing the transcription pipeline, there's real work to be done and real impact to be made. If you're a Rust developer, a frontend engineer, an ML enthusiast, or just someone who loves building tools for the church, come build with us. Star the repo. Fork it. Open a PR. Let's make this the go-to open-source solution for live Bible verse display in churches worldwide. github.com/openbezal/rhema

Update 🚨 The Programmify AI Weekend Build has been postponed! 🗓 April 11–12, 2026 ⏳ Registration closes April 10 Got an idea? Build it with us. ✨ Selected participants get 1 month free Lovable Pro. Register: academy.programmify.org/events/program… #AIWeekendBuild #Programmify


I built this thing called Clicky. It's an AI teacher that lives as a buddy next to your cursor. It can see your screen, talk to you, and even point at stuff, kinda like having a real teacher next to you. I've been using it the past few days to learn Davinci Resolve, 10/10.

Mythos Preview has already found thousands of high-severity vulnerabilities—including some in every major operating system and web browser.


🚨 CRITICAL: Active supply chain attack on axios -- one of npm's most depended-on packages. The latest axios@1.14.1 now pulls in plain-crypto-js@4.2.1, a package that did not exist before today. This is a live compromise. This is textbook supply chain installer malware. axios has 100M+ weekly downloads. Every npm install pulling the latest version is potentially compromised right now. Socket AI analysis confirms this is malware. plain-crypto-js is an obfuscated dropper/loader that: • Deobfuscates embedded payloads and operational strings at runtime • Dynamically loads fs, os, and execSync to evade static analysis • Executes decoded shell commands • Stages and copies payload files into OS temp and Windows ProgramData directories • Deletes and renames artifacts post-execution to destroy forensic evidence If you use axios, pin your version immediately and audit your lockfiles. Do not upgrade.

Got an idea? Let’s build it! We’re launching the Programmify AI Weekend Build! 🎉🚀 A 2-day virtual build experience to collaborate, learn and create real AI projects Beginner or pro, you belong here. (1/3)

Programming language you learned once but never touched again?

Migrating to microservices when your app barely has users is basically building a Ferrari for your bicycle.

Congrats to the @cursor_ai team on the launch of Composer 2! We are proud to see Kimi-k2.5 provide the foundation. Seeing our model integrated effectively through Cursor's continued pretraining & high-compute RL training is the open model ecosystem we love to support. Note: Cursor accesses Kimi-k2.5 via @FireworksAI_HQ ' hosted RL and inference platform as part of an authorized commercial partnership.










