Yesterday's Top Launches: 5 Tools from February 19, 2026 | productdirs

Yesterday brought an interesting mix of tools to the tech landscape, particularly for developers and creators looking to streamline their workflows. From AI-driven design assistants to open-source models promising serious productivity gains, these new developer tools aim to tackle specific pain points in building and growing digital products.

Mozart for iOS

If you’ve ever had a melody or a sound idea pop into your head while you’re away from your studio, Mozart for iOS wants to capture that moment. It’s essentially a portable sketchpad for sounds, letting you record quick audio ideas. The twist is that you can then build a short music video around it by pulling in photos and clips from your camera roll. It feels less like a professional DAW and more like a creative journal for audio-visual moments.

The appeal is clear for musicians, podcasters, or anyone who thinks in sound and wants a lightweight way to prototype ideas. It’s free, which removes any barrier to trying it out, but its utility might be niche. This isn't going to replace a full-featured editing suite, but as a tool for spontaneous creation, it could find a dedicated audience.

Boost.space

Dealing with data sprawl is a universal headache, especially as businesses rely on more SaaS tools. Boost.space is targeting this problem head-on with what it calls a no-code Agentic Database. The goal is to pull information from various sources—like your CRM, support tickets, and project management apps—and structure it into a unified, real-time context layer for AI agents and automations.

Think of it as a central nervous system for your business data, designed to give your AI assistants a fighting chance by providing them with complete, standardized information. For teams heavily invested in automation, this could significantly reduce the time spent making different systems talk to each other. The freemium model makes it easy to test, but the real value will depend on its integration depth and how well it handles complex data relationships. It’s a pragmatic solution for a increasingly common problem.

MiniMax M2.5

In the crowded field of large language models, MiniMax M2.5 is making a play for the practical developer. It’s an open-source frontier model that emphasizes real-world performance, specifically calling out coding, search, and agentic tool-calling as strengths. The stated benchmarks are compelling: 37% faster completion of complex tasks at a cost of roughly one dollar per hour, with a throughput of 100 tokens per second.

For developers building applications that require reliable, fast AI inference, these specs could be a significant draw. The open-source nature means more control and potential for customization, which is always appealing compared to locked-down API offerings. The pricing is straightforwardly paid, positioning it as a professional tool rather than a casual experiment. Its success will hinge on whether its real-world performance lives up to the promise, but it certainly enters the market with a clear value proposition for cost-conscious and performance-driven teams.

Layers

Marketing a technical product often requires a deep understanding of the codebase to communicate its features effectively. Layers attempts to bridge this gap by being a code-aware marketing platform. It analyzes your application and then generates targeted growth strategies, handling everything from content creation and social distribution to paid ads and app store optimization.

The idea is that by understanding your app's architecture and functionality, Layers can produce more accurate and relevant marketing collateral. For a solo founder or a small dev team short on marketing resources, this automation could be a lifesaver. The freemium model allows for experimentation. However, the real test will be the quality and nuance of the content it generates; marketing that feels generic or misses the mark can do more harm than good. It’s a bold attempt to automate a deeply human-centric process.

Figr AI

Product designers and front-end developers spend countless hours translating ideas into specs, user flows, and prototypes. Figr AI positions itself as a design partner that learns your product to help with this heavy lifting. After capturing your live product through a Chrome extension or importing a design system from Figma, it can assist in creating PRDs, mapping edge cases, generating A/B test variations, and conducting UX reviews.

This tool seems tailored for product teams looking to accelerate their design iteration cycles. The ability to work within an existing design system is a key feature, promising output that’s consistent with your brand. As a freemium web app, it’s accessible for testing. The major question is how intelligently it can interpret design intent and whether its suggestions will truly save time or simply create more revisions. For teams buried in Figma files, it’s certainly worth a look.

Quick Links

For more details, you can check out the individual project pages: