Alternatives
Products that do what IBANgen does
Synthetic IBANs for QA, staging and fintech tests
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Hi HN! I am Krishna Thota, founder of DevRaven. DevRaven is a monitoring platform for Developers. DevRaven enables engineering teams or individual developers to setup active monitoring for their services/applications and get alerted when things don't work as expected Today's launch makes available the following features: API Monitoring - Monitor your HTTP end points and perform no-code or scripted assertions. Synthetic Monitoring - Execute browser based end-to-end tests using Playwright framework. No setup required. SSL Monitoring - Monitor SSL certificates for your end points and get…
2022 · devraven.io
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GitHub: https://www.github.com/fizzbee-io/FizzBee Traditionally, formal methods are used only for highly mission critical systems to validate the software will work as expected before it's built. Recently, every major cloud vendor like AWS, Azure, Mongo DB, confluent, elastic and so on use formal methods to validate their design like the replication algorithm or various protocols doesn't have a design bug. I used TLA+ for billing and usage based metering applications. However, the current formal methods solutions like TLA+, Alloy or P and so on are incredibly complex to…
2024 · fizzbee.io
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I build this app because I was tired of using Google Translate to translate my locale files (i18n). I wanted to use a more efficient and accurate translation tool. ChatGPT, however, always break my json and cannot translate large contents. So I build this app to solve these problems. Hope it can save your time. github: https://github.com/ObservedObserver/chatgpt-i18n online app: https://chatgpt-i18n.vercel.app/
2023 · github.com
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Jun 2026 · github.com
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Hey HN, We just shipped a new AI-powered feature... BUT the "AI" piece is largely in the background. Instead of relying on a chatbot, we've integrated AI (with strict input & output guardrails) into a workflow to handle two specific tasks that would be difficult for traditional programming: 1. Identifying the most relevant base URL from HAR files, since it would be tedious to cover every edge case or scenario to omit analytics, tracking, and other network noise. 2. Generating synthetic data for API requests by passing the API context and faker-js functions to GPT-4. The steps are broken down…
2024 · docs.multiple.dev
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Hi HN! This is a little site I put together while learning the Elm language as part of a hackathon at my work, I thought you might enjoy it. Be sure to click the `(source)` buttons next to the graphs: you can edit them interactively & write your own queries against the entire data set. The syntax isn't well documented yet, but you can probably get the general idea pretty quickly based on the examples there. If you like it, have questions, etc. let me know! If folks think this is cool, maybe I can get it turned into a legit project. :)
2022 · codestat.dev
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Traceformer.io is a web application that ingests KiCad projects or Altium netlists along with relevant datasheets, enabling LLM-based schematic review. The system is designed to identify datasheet-driven schematic issues that traditional ERC tools can't detect. Since our first launch (formerly as Netlist.io), we've made some big changes: - Full KiCad project parsing via an open-source plugin - Pass-through API pricing with a small platform fee - Automatic datasheet retrieval - ERC/DRC-style review UI - Revamped review workflow with selectable frontier models (GPT 5.2, Opus 4.5, and…
Jan 2026 · traceformer.io
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2022 · github.com
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