Postingan

Show HN: Aigit – AI-powered Git CLI for commit messages, branch names, and PRs https://ift.tt/aoZ2bjT

Show HN: Aigit – AI-powered Git CLI for commit messages, branch names, and PRs Built a CLI tool that every developer needs: aigit - Git workflow automation with AI AI-generated commit messages Smart branch naming Automated PR creation Code review assistance No more "fix stuff" commits https://ift.tt/tx3uBOK November 27, 2025 at 12:22AM

Show HN: Fixing Google Nano Banana Pixel Art with Rust https://ift.tt/MLfSXoZ

Show HN: Fixing Google Nano Banana Pixel Art with Rust https://ift.tt/EA2Tknp November 26, 2025 at 10:46PM

Show HN: A New Mnemonic Scheme – Seedless, Passphrase-Sealed, Builtin Multichain https://ift.tt/tQryuPB

Show HN: A New Mnemonic Scheme – Seedless, Passphrase-Sealed, Builtin Multichain TL;DR: Today’s mnemonics are bare keys with no cryptographic protection. MSCIKDF adds passphrase-sealing, seedless operation, and multi-curve support in a single derivation scheme. The user's exposure to compromise/leakage risk can be periodically reset, marking a significant advancement in cryptographic security. In the first half of 2025, more than $1.7B in crypto assets were stolen, and roughly 70% of those incidents involved mnemonic-compromise pathways. The core problem is structural: today’s mnemonics are bare assets—whoever sees them immediately owns everything, and there is no cryptographic-level protection, no rotation model, and no way to safely evolve toward PQC. I built MSCIKDF to directly solve this. MSCIKDF is a cryptographic primitive that introduces passphrase-sealed mnemonics, curve-isolated derivation, and rotatable secrets at the KDF layer. It ensures that: - The seed is never stored...

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

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 u...

Show HN: We built an open source, zero webhooks payment processor https://ift.tt/rh5pAoJ

Show HN: We built an open source, zero webhooks payment processor Hi HN! For the past bit we’ve been building Flowglad ( https://flowglad.com ) and can now feel it’s just gotten good enough to share with you all: Repo: https://ift.tt/I4kLedO Demo video: https://www.youtube.com/watch?v=G6H0c1Cd2kU Flowglad is a payment processor that you integrate without writing any glue code. Along with processing your payments, it tells you in real time the features and usage credit balances that your customers have available to you based on their billing state. The DX feels like React, because we wanted to bring the reactive programming paradigm to payments. We make it easy to spin up full-fledged pricing models (including usage meters, feature gates and usage credit grants) in a few clicks. We schematize these pricing models into a pricing.yaml file that’s kinda like Terraform but for your pricing. The result is a payments layer that AI coding agents have a substantially easier time one-shotting (f...

Show HN: I built an interactive map of jobs at top AI companies https://ift.tt/c0mhTbf

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 ...

Show HN: Sphere-Base-One– A Python Kernel for Integer-Based Physics Optimization https://ift.tt/2Jhy3pn

Show HN: Sphere-Base-One– A Python Kernel for Integer-Based Physics Optimization https://ift.tt/YTuSgOi November 24, 2025 at 11:53PM