ApyHub @apyhub

We are heading to @APIdaysGlobal Amsterdam next week! 🚀 Our CEO @samuelkaluvuri will be on stage June 9 at 4:10pm talking about how APIs are becoming the core building blocks for AI agent productivity at scale. come find us and say hi 👋 #apidays #Amsterdam #APIs #AIAgents

Nikolas Dimitroulakis @NikolDimit

3 days ago

Who is coming to Amsterdam for @APIdaysGlobal in June? A few talks that I have already on my must-see list: 🚀 @samuelkaluvuri on "The New API Economy: APIs as Building Blocks for Developer and Agent Productivity at Scale": bit biased here, but genuinely can't wait for this

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@joni_vrbt all of them here: apyhub.com/catalog All certified. One catalog. One subscription. I dont know which one is the most powerful though...

Who is coming to Amsterdam for @APIdaysGlobal ? @apyhub is going to be there to talk about developer and agent productivity at scale!

apidays Global @APIdaysGlobal

5 days ago

🚀 The future of APIs is being built today. Join API leaders, architects, and product teams at #apidaysAmsterdam on June 9–10 to explore how APIs are powering AI, platform ecosystems, and enterprise integration across Europe. 🎤 Speakers & sessions: apidays.global/events/amsterd…

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APIs: Design first or Code first. whats a better strategy? Looking to hear from devs, qa and software teams working in projects that include APIs.

- Why did we build Voiden? - Why is Voiden open source ? - Why don't we vibe code everything? - Is pineapple on pizza a bug or a feature? - Should “The Matrix 4” have even happened? Answers to almost ALL of these questions are answered in this discussion with @samuelkaluvuri : open.spotify.com/episode/6UK2YB… after 16:38...

New Release: Voiden v1.4.1-beta.1 is out! This time we focused on enabling multi-request workflows + making streaming, search and your overall experience with Voiden faster, clearer, and more flexible. Key Highlights: 🔵 Collection Runner-Voiden Stitch: Workflow runner for batch-executing multiple files sequentially. 🔵 Multi-request support with the ability to execute separate sections and stacked responses in the same file! 🔵 Redesigned streaming panel for WebSocket & gRPC with collapsible headers. 🔵 Cross-panel search. 🔵 Smarter block imports and autocomplete. 🔵 Improved editor and UX with theme-aware layouts. + more fixes and improvements... Detailed change-log here: voiden.md/changelog Try the beta here: voiden.md/download#beta 💬 Question for devs: When running a collection, how do you manage requests that depend on previous responses? Do you chain them in one file, split them across files, or have some retry logic?

Stop Filling Forms. Start Composing APIs. 🟩 🔷 🟡 ♦️ APIs are systems. Each one is different. Each dev, each team has its own tests, designs, docs and workflows. So why do all lAPI tools force everyone into the same rigid UI? Voiden is different. Every part of a request, (endpoints, headers, auth, query params, body etc.) is a reusable block. - Blocks live in slash commands, so they only appear when you need them - Compose requests and tests by assembling blocks - Reuse blocks across files and projects - Version control like code No fixed forms. No clutter. Just flexible, programmable workflows that adapt to how developers actually work. ✨ Build workflows that match your thinking, not the tool's assumptions. 📂 Repo: lnkd.in/d4rG6PcU ⬇ download: https://voiden.md/download

How to design APIs to be found by AI agents Over 80 percent of APIs are invisible to AI. Not because they are bad. Because they are silent. AI agents do not “browse” APIs like humans do. They look for structure. Meaning. Signals. If your API does not speak their language, it does not exist. This guide breaks down what actually matters when designing APIs for AI discovery: • Metadata that explains purpose, not just endpoints • Machine readable docs that AI can parse instantly • Built in compliance for data laws across borders • Enterprise grade auth with real audit trails • Continuous testing so AI can always understand your API Think of your API like a resume for machines. If an AI agent cannot quickly answer: What does this do? Who is it for? Is it safe to use? You already lost the integration. For developers, this changes how you write docs. For product teams, this changes how you ship platforms. The future is not just API first. It is AI discoverable by default. Would like to know what most teams miss and how to fix it step by step? Read more here: apyhub.com/blog/how-to-de…

How to Protect Your Videos with Node.js (No Heavy Editing Tools Required) Most teams treat video watermarking as a manual, design-heavy task. Here is the part many developers and product teams miss: • Viideos are not just content. They are business assets. • Watermarking is not only about logos. It is about ownership, trust, and traceability. • You can automate the entire flow with a few API calls. • Large video files can be streamed directly to disk (no memory headaches). • The same pipeline can later handle PDFs, images, and more. The tutorial walks through a real Node.js example that: • Sends your video + watermark to an API • Streams the processed file back • Saves it locally • Leaves you with a production-ready workflow No bloated tooling. No complex media stacks. Just clean code and scalable APIs. If you build products that handle video, this is worth five minutes of your time. Read more here: apyhub.com/blog/video-wat…

AI tools help us ship features at record speed. But speed at build time often hides costs that show up later. If you are a developer or product leader, this is the part many teams miss. • writing code and building can be cheap. Running it reliably is not. • AI features keep consuming compute, storage, and network every day. • Models drift, APIs change, and cloud bills quietly grow. • What ships in a sprint can demand months of ops, fixes, and monitoring. The real question is no longer just build vs buy. It is the total cost of ownership over time. Teams that ignore maintenance and operations pay later. Teams that plan for them build software that lasts. Read more here: apyhub.com/blog/hidden-co…

Lack of curation is what gives many API marketplaces a bad name. Too often, marketplaces list APIs without clear info on security or compliance. That’s a big risk for teams building and working on critical systems. At #ApyHub, we do things differently: - We certify every API on our platform. Providers submit their code and security details, and we verify compliance thoroughly. When APIs update, we keep their certifications current, no manual hassle, no surprises. - For devs and enterprise teams this means you can confidently browse and choose APIs that meet your exact security and compliance needs. Without guesswork or lengthy audits. You find what fits your standards and get right to building. Less risk. More confidence. Faster builds. How do you handle API compliance today? Could this kind of ongoing certification help your team?

Moderating User TextEvery product with user-generated content runs into moderation issues eventually. Comments, reviews, chats—most are fine, some are not.Teams usually start with simple rules and manual review. That works at small scale, but as products grow, moderation turns reactive. Harmful content slips through, moderators burn out, and user trust takes a hit. The real challenge is that harm is often subtle sarcasm, context, or borderline toxicity. At that point, moderation needs to be consistent and automated. This is where AI fits naturally. The ApyHub AI Text Moderation API analyzes text for toxicity, insults, violence, sexual content, and more, and returns confidence scores so teams can decide how strict they want to be. It’s fast enough for real-time use in comments or chat, and flexible enough to power warnings, blocks, or review queues. This isn’t about censoring everything - it’s about setting clear boundaries and enforcing them consistently. If your product relies on user text, this is worth plugging in early. And if you’re still moderating with regex alone, we should probably talk. Use it here : apyhub.com/utility/ai-tex…

Automate image compression - no code required Image-heavy workflows slow teams down: large files, manual optimization, higher storage costs. There’s a better way. In this new tutorial, learn how to automatically compress images in bulk using #n8n + #ApyHub Image Compression API, all through an #n8n workflow. ✅ Download images ✅ Compress them automatically with an API ✅ Get optimized files ✅ Reusable for CMS, marketing assets, or internal tools Perfect for developers, product teams, and non-technical users who want faster, lighter image pipelines without complexity. 👉 Read the full guide here: apyhub.com/blog/compress-…

@vivoplt voiden.md

Making EU VAT Validation Easy and Reliable for Your Business If you have ever worked on a project involving EU customers or suppliers, you know validating VAT numbers can be a real headache. It’s not just about checking if the number looks right — you need to confirm it’s active and tied to a real company to avoid tax mistakes or worse, fraud. You might try: 🔹 Building your own VAT validation system by parsing VAT formats per country — a tedious and error-prone job. 🔹 Scraping official databases directly — which can be slow, unreliable, or outright blocked. 🔹 Using some free online validators, but then hitting limits or accuracy issues. All these routes can slow down your workflow and cause compliance risks. And if you’re handling many VAT numbers, manual checks just won’t cut it. Here’s where a simple API that checks both the VAT format and verifies it against official EU databases can save the day. With ApyHub’s VAT Validation API, you get: 🔹 Instant and accurate validation of any EU VAT number 🔹 Confidence that the number belongs to an active, legitimate company 🔹 Easy integration so you can automate VAT checks right in your app or backend No more juggling inconsistent data or second-guessing your tax compliance. This API helps you reduce fraud risk and keep your operations smooth without extra manual overhead. If you are building a billing system, onboarding EU vendors, or running any process that depends on VAT data — this API can be useful. Try it out in the API playground here and see how a simple call can replace hours of manual checks: apyhub.com/utility/vat-nu… Got a project where validating VAT is a nightmare? Drop a comment — bonus points if your current solution involves 10 browser tabs open at once! 😅

Your app sees the image. Does it know the place? Teams building with user uploaded photos hit this fast. Travel apps, social tools, content platforms. Everyone wants to auto tag locations, group images, or unlock smarter search based on where a photo was taken. The usual approaches 📍 Ask users to tag locations 📍 Rely on GPS data that is often missing 📍 Build custom vision logic that takes time and still breaks Then the pain shows up. What tends to go wrong ⚠️ Users skip tagging ⚠️ Images lose metadata after edits or screenshots ⚠️ Vision pipelines turn into long term maintenance work Landmark detection solves this quietly. ApyHub AI Image Landmark Detection API takes an image and returns recognized landmarks like monuments, buildings, or natural places. One API call. No manual input. Why this is useful in real products ✨ Easy to plug in without owning a vision stack ✨ Enables auto tagging, smarter feeds, and location aware features If images matter in your product, this is a solid building block. Try the API from the link and test it on a random photo : apyhub.com/utility/ai-ima… Comment if it confidently identifies a place you absolutely did not expect.

@_aswin_asok_ @rapidapi @grok please try the same with ApyHub!

Messy phone numbers wrecking your app? 😩 NumLookup is legit for quick lookups, but devs deserve better: ApyHub’s AI-powered Detect Phone Numbers API magically extracts, validates, and standardizes numbers from ANY text—instantly! 📷Ditch regex hell forever. Spot spam, clean data, supercharge forms & fraud detection. 📷📷 Read more here → apyhub.com/blog/apyhub-de… #APIDev #AI #PhoneValidation #DevTools

Choosing the right AI model and API comes down to understanding your task, testing options, and avoiding common pitfalls like bias and unreliable results. Want to learn more? Read here: apyhub.com/blog/ai-models…