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Meetily Development: Open Source AI Software Development Services

What if I told you that the best AI meeting note taker in the market today costs absolutely nothing, processes everything locally on your device, and is completely open-source? You’d probably think I’m exaggerating, right?

Well, meet Meetily – our answer to the privacy nightmares and subscription fatigue plaguing the meeting AI space. As the team behind this revolutionary tool, we’ve watched Meetily grow from a simple idea to a globally adopted solution with over 950+ GitHub stars and 500+ downloads worldwide.

But here’s what makes this story really interesting: Meetily wasn’t built by a massive tech corporation with unlimited resources. It was crafted by our team at Zackriya Solutions as a testament to what’s possible when you combine cutting-edge AI application development services with a genuine commitment to user privacy and open-source principles.

Today, I want to share the story behind Meetily, the challenges we faced, and why this project represents everything we believe about the future of AI software development.

The Problem That Started It All

The idea for Meetily came from a frustration we hear constantly from our clients. Companies were tired of sending their sensitive meeting conversations to external cloud servers just to get basic transcription and note-taking features. Legal firms discussing client strategies, healthcare organizations reviewing patient cases, and startups sharing proprietary technology plans – all forced to choose between AI-powered productivity and data privacy.

The existing solutions all had the same fundamental flaw: they required you to trust external companies with your most confidential conversations. Otter AI, Fireflies, Granola – they all process your audio in the cloud, store your transcripts on their servers, and charge monthly fees for the privilege of potentially exposing your sensitive data.

We kept thinking: there has to be a better way.

That’s when our team decided to tackle this challenge head-on. What if we could build an AI meeting assistant that was just as capable as the big players but kept everything completely private? What if we could prove that you don’t need to sacrifice privacy for functionality?

Our AI Application Development Philosophy

Building Meetily required us to rethink everything about traditional AI application development services. Most companies in our space follow a predictable playbook: build a sleek interface, connect to cloud-based AI APIs, charge a subscription fee, and hope users don’t think too hard about where their data goes.

We chose a radically different approach.

Privacy by Design, Not by Accident

From day one, we architected Meetily with privacy as the core requirement, not an afterthought. This meant building everything around local processing using technologies like Whisper.cpp for speech recognition and local language models for summarization. Every design decision was filtered through one critical question: “Does this require sending user data to external servers?”

Open Source as a Competitive Advantage

While our competitors hide behind proprietary code, we made Meetily completely open-source. This wasn’t just an idealistic choice – it was strategic. Open-source software builds trust in ways that privacy policies and marketing promises simply cannot. When users can see exactly how their data is processed, trust becomes transparent rather than transactional.

Local-First Architecture

Traditional AI software development services optimize for cloud scalability and recurring revenue. We optimized for user control and data sovereignty. Meetily runs entirely on your local machine, using your computational resources to process your data, giving you complete control over every aspect of the experience.

The Technical Challenges We Solved

Building a privacy-first AI meeting assistant presented unique technical challenges that most cloud-based solutions never face.

Challenge 1: Local AI Performance

Cloud-based solutions can leverage massive server farms for AI processing. We needed to deliver comparable accuracy using only local computing resources. Our solution involved carefully optimizing Whisper.cpp models and implementing efficient processing pipelines that could run smoothly on typical laptop hardware.

Challenge 2: Real-Time Processing

Meeting transcription needs to happen in real-time, not after the fact. We developed sophisticated audio capture and processing systems that could handle live transcription without the latency advantages that cloud processing typically provides.

Challenge 3: Cross-Platform Compatibility

Unlike web-based solutions, local applications need to work across different operating systems and hardware configurations. We built Meetily to run seamlessly on Windows and macOS, with Linux support coming soon.

Challenge 4: User Experience Without Complexity

Local software can quickly become complex and intimidating. We invested heavily in creating an intuitive interface that hides the technical complexity while providing powerful functionality. The goal was making privacy-first software as easy to use as cloud-based alternatives.

What Makes Meetily Different

After months of development and thousands of hours of testing, Meetily emerged with features that directly address the limitations of existing solutions.

Complete Privacy Protection

Everything happens on your device. Your conversations never touch external servers, your transcripts never leave your control, and your sensitive discussions remain truly private. This isn’t just a marketing claim – it’s architecturally guaranteed by how we built the system.

Zero Subscription Costs

While competitors charge $8.33-18+ per month per user, Meetily is completely free forever. No hidden costs, no feature limitations, no premium tiers. This wasn’t just about being competitive on price – it was about removing financial barriers to privacy-protecting technology.

Open Source Transparency

Every line of code is publicly available on GitHub. Users can audit exactly how their data is processed, modify functionality to meet specific needs, and contribute improvements back to the community. This level of transparency is impossible with proprietary cloud-based solutions.

Universal Platform Support

Unlike tools like Granola that only work on macOS, Meetily works with any meeting platform – Google Meet, Zoom, Microsoft Teams, or any other video conferencing solution. It captures audio directly from your system, making it truly platform-agnostic.

The Impact We’ve Achieved

The response to Meetily has exceeded our most optimistic projections. We’ve achieved over 950+ GitHub stars, 500+ downloads across multiple platforms, active community contributions and feature requests, and adoption by privacy-conscious organizations worldwide.

But the real validation comes from the stories we hear. Legal firms using Meetily for confidential client discussions, healthcare organizations processing patient case reviews, startups protecting their competitive strategies, and remote teams maintaining privacy while staying productive.

These aren’t just numbers – they represent real people who can now have AI-powered meeting assistance without compromising their privacy or paying ongoing subscription fees.

What This Means for AI Development

Meetily represents more than just another meeting tool – it’s a proof of concept for a different approach to AI software development services. We’ve demonstrated that it’s possible to build AI applications that respect user privacy, provide professional-grade functionality, and remain economically sustainable through open-source development.

This project has shaped how we approach all our client work. When organizations come to us for AI application development services, we now lead with questions about data sovereignty, user control, and long-term sustainability rather than just features and functionality.

We’ve proven that the choice between powerful AI and privacy protection is a false dilemma. You can have both – you just need developers who prioritize user interests over recurring revenue models.

The Future of Privacy-First AI

Meetily is just the beginning. We’re continuing to enhance the platform with new features, improved performance, and expanded platform support. But more importantly, we’re using the lessons learned from this project to help other organizations build AI solutions that respect user privacy and control.

The future of AI doesn’t have to be controlled by a few massive companies with access to infinite computing resources. Local-first, privacy-respecting AI tools like Meetily prove that innovation can come from anywhere – including small, principled development teams who care more about user empowerment than subscription revenue.

Ready to Build Privacy-First AI Solutions?

The success of Meetily demonstrates what’s possible when AI application development services prioritize user privacy, transparency, and control over traditional business models. Whether you’re looking to build internal AI tools that keep sensitive data secure or develop products that respect user autonomy, the approach we’ve pioneered with Meetily can guide your development strategy.

Our experience building Meetily has taught us valuable lessons about local-first AI architecture, open-source community building, and privacy-preserving software design. These insights inform every project we undertake, ensuring that our clients benefit from proven approaches to building AI solutions that users actually trust and want to use.

If you’re ready to explore how privacy-first AI software development services can transform your organization or product vision, we’d love to share what we’ve learned and help you build AI solutions that truly serve your users’ interests.


Ready to build AI solutions that respect privacy and user control? Contact our team at Zackriya Solutions to discuss how our AI application development services can help you create powerful, privacy-first software that users trust and love. Let’s build the future of AI together – the right way.

Frequently Asked Questions

How does Meetily achieve the same accuracy as cloud-based solutions while processing locally?

Meetily uses optimized Whisper.cpp models and efficient processing pipelines specifically designed for local hardware, achieving comparable accuracy to cloud solutions without requiring external servers. Our team spent months fine-tuning the AI models and audio processing systems to deliver professional-grade transcription using only your device’s computational resources.

What makes Meetily’s privacy protection better than other AI meeting tools?

Unlike cloud-based solutions that send your audio to external servers, Meetily processes everything locally on your device, making data breaches or unauthorized access architecturally impossible. Your meeting conversations never leave your control, and since it’s open-source, you can verify exactly how your data is handled rather than trusting privacy policies.

How much did it cost Zackriya Solutions to develop Meetily as an open-source project?

While we don’t disclose exact development costs, Meetily was built as a strategic investment in demonstrating our AI application development capabilities and commitment to privacy-first software. The project showcases our technical expertise while contributing valuable tools to the open-source community, making it both a business development and community service initiative.

Can other companies hire Zackriya Solutions to build similar AI applications?

Yes, our experience building Meetily demonstrates our capabilities in developing privacy-first AI applications, local-first software architecture, and open-source solutions. We offer AI application development services for companies wanting to build similar tools that prioritize user privacy, data sovereignty, and innovative approaches to traditional cloud-based problems.

What technical challenges were the hardest to solve when building Meetily?

The biggest challenge was achieving real-time transcription performance using only local processing power, as cloud solutions can leverage massive server farms for AI computation. We also had to solve cross-platform compatibility issues and create an intuitive user interface that hides the technical complexity while maintaining professional-grade functionality.

What programming languages and technologies did Zackriya use to build Meetily?

Meetily is built using Whisper.cpp for speech recognition, local language models for summarization, and cross-platform frameworks to ensure compatibility across Windows and macOS systems. The architecture prioritizes local processing efficiency while maintaining the flexibility needed for open-source community contributions and customization.

What’s next for Meetily, and how does it fit into Zackriya’s future AI development plans?

We’re continuing to enhance Meetily with new features, improved performance, and expanded platform support while using lessons learned to inform our client work in AI application development services. The project represents our ongoing commitment to building AI solutions that respect user privacy and demonstrates the technical approaches we bring to all our development projects.

Zackriya Solutions
Zackriya Solutions
https://www.zackriya.com