Alternatives
Products that do what Integuru – Integrate with platforms via the source code does
Hey HN! We’re Alan and Richard from Integuru (YC W24). We generate fast, reliable integrations for platforms lacking official APIs. About 2 years ago, we released the first agent that reverse-engineers network traffic to build integrations (https://github.com/Integuru-AI/Integuru). Since then, we’ve developed a new approach to reverse-engineer platforms’ source code directly. This solution also includes authentication support. Here’s a demo: https://youtu.be/4l2L8fILC2g?si=nbWbDiFrWZIWRPM7. Many AI products need to integrate with web apps, but platforms…
- 1

- 2

- 3

- 4

- 5

- 6

- 7

- 8NO
Hello HN! The day has finally come to stop adding features and start sharing what I've been building the last 5-6 months. It's a bit of CrewAI, OpenDevon, LangFuse/Cloud all in one, providing devs who prefer TypeScript an integrated framework thats provides a lot out of the box to start experimenting and building agents with. It started after peeking at the LangChain docs a few times and never liking the example code. I began experimenting with automating a simple Jira request from the engineering team to add an index to one of our Google Spanner databases (for context I'm the…
2024 · github.com
- 9

Get real work done, moving from idea to shipping in minutes
11d ago · arena.ai
- 10

- 11

- 12

- 13

- 14

- 15DA
Hi All, API integration often cycles in repetitive use cases, API specs, Libraries/SDKs, developer context & tech support. We are building a desktop app that lets SaaS API sellers design their API integration flow and lets their customer integrate APIs in seconds. SaaS API companies (including our existing customers) resort to: 1. For API documentation - readme.io, Postman and Swagger (few use PDFs too.) 2. For Chat/Support/FAQ - Freshdesk/Zendesk/Calendly/Skype/Teamviewer 3. For Developer Context - IDEs for Android/iOS/JavaScript On top of these…
2017
- 16MA
Hi, I'm working on a project that regroups all best AI (AIaaS) from different providers (GCP, AWS, Azure, DeepL, etc.) in one API (https://github.com/edenai/edenai-apis). I've got asked the question : why aren't you regrouping Open Source models (instead of proprietary APIs) into one repo? Well because it doesn't make sens to deploy and maintain large pytorch (or other framework) AI models (especially for document parsing, image and video moderation or speech recognition) in every solution that wants AI capabilities. So using APIs makes way more sens. Deployed OpenSource…
2023 · github.com
- 17OS
Blog post: https://spencerburleigh.com/blog/2026/02/13/crosscheck/ Repo: https://github.com/sburl/CrossCheck
Feb 2026 · github.com
- 18AR
Hi HN. I'm the founder of Phoenix Labs (ex TikTok, Applied AI) and we're open sourcing our internal tooling today which is like a toolchain / meta-harness for CLI agents useful for really scaling eng and creative work. We are a very small team who's building a very ambitious product so we had to find ways to squeeze every ounce of efficiency that we could get our hands on. Harness strengths of different models (Claude, GPTs) and CLI-harnesses (Claude Code, Codex), safe/robust browser integration to speed up UX/QA testing, teams cli to speed up security reviews and parallelize…
May 2026 · agents-cli.sh
- 19LO
Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…
Jan 2026
- 20IB
Hey HN. I built an AI agent harness over the past few months and I'm open sourcing it today. Some context on why. I've been building with Claude Code daily using this harness. It orchestrates multiple AI agents as a team, with a dashboard, chat, kanban board, the works. I used it to build a full SaaS product (MyUpMonitor, https://myupmonitor.com) in about 24 hours of focused coding. Then yesterday Anthropic announced Mythos and decided to keep it behind closed doors. Meanwhile I'm paying for Claude and I can't access their best model. I don't think that is nice at all... So I'm…
Apr 2026 · github.com
- 21AP
As a long-time developer, I participated in many integration projects and we always had a recurring problem: monitoring and sending integration error alerts to end users. Based on 10 years and hundreds of projects, I created a platform that helps solve this, with several accelerators and cool stuff for developers. Some feedback would be great, if the tool makes sense and what we could improve on.
2022 · tunnelhub.io
- 22NC
Hey everyone! we just launched Promptly apps (https://trypromptly.com/), a no-code platform to build generative AI apps and chatbots. We allow users to build web apps and chatbots by chaining LLM APIs (we call processors) from providers like OpenAI, StabilityAI, Cohere etc, without writing any code. We also let users to bring in their own data and store it in a vector database to be used for context augmentation in their apps. Users can import data from a variety of sources including urls, sitemaps, PDFs and other file types Published apps are accessible to app's users via a…
2023 · trypromptly.com
- 23IA
Hello fellow hackers (insert gif, you know the one) Give a prompt to our Function Prediction API; we'll predict the app and return the function and its arguments. Use our SDK and get the user to connect their account, get the user to confirm the arguments in a UI (if needed), and execute the function. Docs: https://integry.gitbook.io/docs/functions/overview
2024 · integry.ai
- 24CA
I built this because I was tired of creating pull requests in 20 repositories just to change a single line of workflow job version. With Infra as AI, just mention the change. Agents work on all repos in parallel, read the docs, make a bunch of PRs and fill in the description. You can see the demo of the actual dashboard in the landing. Let me know your thoughts :) It means a lot to me!
Sep 2025 · infrastructureas.ai
Ranked by how close each launch is in meaning, then by votes. Refine with a description →