PixFit

PixFit is AI creative automation for performance teams. Drop in one master asset and PixFit generates every size, ratio, and placement your campaigns need — Meta, Google, TikTok, and more — production-ready and on-brand. No more manually resizing the same creative 40 times. When AI needs a human touch, a designer is one click away, so nothing ships broken and nothing goes undelivered.

Seedance 2.5

Seedance 2.5: Advanced AI Video Generation for Professionals Seedance 2.5 is a cutting-edge AI video generation model developed by ByteDance, designed to produce comprehensive 30-second video clips from diverse inputs including text, images, audio, and video references. It offers unparalleled control over motion, consistency, and audio-visual output, making it ideal for creating cinematic AI videos. This SaaS targets creators, marketers, agencies, and e-commerce businesses seeking efficient and high-quality video production. Key Features Longer Scenes: Generates up to 30 seconds of video in a single native pass, eliminating the need for stitching multiple short clips. Richer Control: Supports up to 50 multimodal reference inputs (images, audio, video) for highly detailed and consistent outputs. Editable Output: Features local re-draw editing, allowing users to modify specific elements like products, backgrounds, or characters without regenerating the entire clip. High Fidelity: Delivers native 4K resolution and 10-bit color, providing superior detail and grading flexibility. Improved Adherence: ByteDance reports 20% better prompt adherence, leading to fewer iterations and faster results. Video Extension: Extend existing clips while maintaining visual consistency, pushing ideas further without losing quality. Use Cases For Creators Making Short-Form Stories: Seedance 2.5 enables the creation of complete story beats — setup, action, reveal, and close — within a single 30-second clip. This is perfect for story-driven social content that requires more development than typical short loops, allowing creators to generate full drafts with character and location references without post-generation stitching. For Marketers Testing Product Videos: Marketers can place products in branded, realistic environments using up to 50 reference inputs, including product photos, brand palettes, and motion styles. This facilitates early testing of campaign concepts, formats, and product angles before committing to expensive production shoots. For Agencies Preparing Client Concepts & E-commerce Product Catalogs: Agencies can present clients with dynamic 30-second video drafts, complete with actual products and pacing. The local re-draw feature is invaluable for client reviews, allowing specific elements like product colors or backgrounds to be adjusted instantly. For e-commerce, this means creating one master clip and then efficiently generating per-SKU variants by swapping products in place, maintaining consistent motion and lighting across a large catalog. Pricing Information Pricing for Seedance 2.5 has not been officially announced as of its June 2026 launch event. For reference, Seedance 2.0 is priced at approximately $0.30/second for 720p and $0.68/second for 1080p output. Users should verify Seedance 2.5 pricing upon its general availability. User Experience and Support The workflow for Seedance 2.5 involves three main steps: preparing a detailed prompt and uploading up to 50 multimodal references, generating the full 30-second clip, and then refining specific elements using the local re-draw editing feature. This iterative process allows for precise adjustments without discarding an otherwise good generation. Upon general availability, Seedance 2.5 will be accessible through ByteDance's Volcano Engine Model Ark API, Dreamina, and CapCut, integrating into existing creative pipelines. Technical Details Seedance 2.5 builds upon the robust foundation of Seedance 2.0, which currently holds the #1 ranking on the Artificial Analysis Video Arena for text-to-video and image-to-video generation. It natively generates video at 4K resolution with 10-bit color depth, ensuring high-quality source files suitable for professional post-production and grading. The model's architecture is designed for unified multimodal control, processing text, image, audio, and video references simultaneously to achieve precise motion and consistency. Pros and Cons Pros: Generates long, 30-second single-segment video clips. Supports extensive multimodal reference inputs (up to 50). Unique local re-draw editing for targeted post-generation changes. Native 4K and 10-bit color output for professional quality. High visual consistency and improved prompt adherence. Backed by a proven model family (Seedance 2.0 is benchmark leader). Cons: Pricing information is not yet public. Currently in enterprise beta, public access targeted for early July 2026. No explicit mention of a free trial for Seedance 2.5. Requires detailed prompt writing and reference preparation for optimal results. Conclusion Seedance 2.5 represents a significant advancement in AI video generation, moving beyond short loops to deliver production-ready, 30-second cinematic clips with unprecedented control and editability. Its ability to handle complex briefs and refine outputs locally makes it an invaluable tool for professionals aiming to streamline their video creation workflows. Explore Seedance 2.5 to unlock new possibilities in AI-powered video production.

Foca AI

Foca AI is an innovative AI-powered SaaS platform designed to revolutionize product photography for small businesses and e-commerce sellers. Its primary purpose is to transform casual, everyday product shots into high-resolution, studio-grade images with pure RGB 255 white backgrounds, meeting stringent marketplace requirements like Amazon and Shopify.Key Features:Marketplace Compliant: Automatically formats products with pure RGB 255 white backgrounds and perfect framing, adhering to Amazon and Shopify standards.Studio-Grade Precision: Utilizes advanced AI models to ensure product geometry remains true, delivering crystal-clear details without warping or blur.Zero Learning Curve: Offers a simple, intuitive interface, eliminating the need for complex AI prompts or Photoshop skills.Cost-Effective Solution: Replaces expensive $50 studio shoots with AI product photos for under $1 per image.Versatile Product Support: Specialized AI for various product types including jewelry, clothing (ghost mannequin), bags, shoes, skincare, electronics, glassware, food, sports gear, and tools.Data Privacy Guaranteed: Assures users that uploaded images are not used for AI training and processed images remain private within their account.Use Cases:Foca AI is ideal for any e-commerce business, from startups to established sellers, looking to enhance their product listings without incurring high photography costs or requiring specialized skills. It solves the common problem of inconsistent image quality, poor lighting, and non-compliant backgrounds that can lead to listing suppression on major marketplaces. For instance, a small jewelry business can achieve brilliant sparkle and flawless reflections, while a clothing brand can create ghost mannequin effects with true-to-life fabric textures, all from a simple smartphone photo.The platform is particularly beneficial for sellers on Amazon and Shopify who need to quickly generate a large volume of high-quality, compliant product images. It streamlines the process of preparing products for sale, ensuring every item, from intricate electronics to rugged outdoor gear, is presented professionally and appealingly to potential customers.Pricing Information:Foca AI operates on a freemium model, offering new users 20 free credits to experience its capabilities. Beyond the free trial, pricing is structured to be highly affordable, starting at just $0.3 per image, significantly less than traditional photography costs. Detailed pricing plans are available on their Pricing Page.User Experience and Support:The platform boasts a "Zero Learning Curve" with a simple, intuitive interface, making it accessible even for users without prior AI or photo editing experience. Foca AI handles the heavy lifting, allowing users to focus on their products. Support is provided through a comprehensive FAQ section and a blog featuring guides on product photography tips for various categories, such as "How to Take Great Jewelry Photos with AI" and "Amazon Main Image Requirements 2026."Technical Details:Foca AI leverages "the most advanced AI models" to achieve its studio-grade precision and fidelity. It specializes in "Focus On Commercial Aesthetics" (F.O.C.A) within the e-commerce vertical. The platform delivers all outputs as 1024x1024 pixel images, optimized for e-commerce product listings, complete with professional product lighting and realistic contact shadows.Pros and Cons:Pros:Highly cost-effective compared to traditional photography.Ensures full compliance with major marketplace image requirements (Amazon, Shopify).Extremely easy to use with no technical skills or prompts needed.Maintains high fidelity and detail in product images.Supports a wide range of product categories with specialized AI.Strong commitment to user data privacy.Cons:Currently limited to pure white backgrounds; lifestyle backgrounds are a future feature.Specific underlying programming languages or frameworks are not disclosed.Conclusion:Foca AI stands out as an indispensable tool for small businesses and e-commerce sellers seeking professional, compliant, and affordable product photography. By transforming casual shots into marketplace-ready images with a single tap, it empowers businesses to elevate their online presence and boost sales. Take advantage of the 20 free credits to see the transformative power of Foca AI for your products.

Maker MCP

Maker MCP is an innovative SaaS designed to be the single control plane for indie founders' startup operations and marketing. It empowers AI agents to automate tasks like drafting social media posts and orchestrating product launches, all while ensuring the founder retains full approval. This platform is specifically built for indie founders, developers, and makers who are shipping code and seek to eliminate marketing busywork by leveraging AI automation across their entire tech stack. Key Features Unified Stack Management: Consolidates connections to payments, analytics, GitHub, social media, and email into one central configuration for your AI agents. Agent-Driven Social Media: Automatically drafts engaging posts for platforms like X, LinkedIn, and Reddit, ready for your review and approval. Built-in Stack Knowledge: Comes pre-configured with understanding of popular startup tools such as Stripe, Supabase, Clerk, Vercel, GitHub, PostHog, and Resend. Launch Orchestration: Streamlines product launches by planning and executing moves across various integrated tools, from payment updates to social media announcements. Approval Workflow: Guarantees that no public or irreversible actions are taken without your explicit consent, offering peace of mind and control. Seamless Agent Integration: Works natively with leading AI agents and LLMs like Cursor, Claude, Copilot, and Gemini. Use Cases Imagine launching a new feature or product. Instead of manually logging into multiple platforms to update your website, announce on social media, and track analytics, you simply tell your coding agent, connected to Maker MCP, what launched. Maker MCP then intelligently drafts social posts, updates your release notes on GitHub, and prepares an email announcement, all based on its understanding of your stack. You review the proposed plan, approve it, and everything goes live simultaneously and consistently. Another scenario involves routine updates or milestones. If you hit a new user count or achieve a significant metric, Maker MCP can pull this data from your analytics tool (e.g., PostHog), generate celebratory social media content, and even suggest an email newsletter update. This drastically reduces the time spent on repetitive marketing tasks, allowing makers to focus on building and iterating their products. Pricing Information While specific pricing tiers are not detailed, Maker MCP is presented as a commercial SaaS solution for makers. It is available now, with an emphasis on getting started via GitHub, suggesting a potential for a free trial or community-driven aspects, but ultimately positioned as a paid service for comprehensive automation. User Experience and Support Maker MCP is designed for developers, integrating directly with their existing AI coding agents and LLMs, ensuring a familiar and efficient workflow. The "one MCP config" approach simplifies setup, eliminating the need for numerous individual tool connectors. The explicit approval mechanism provides a secure and controlled user experience. Support is available through the GitHub community and direct contact with the founder via email (alex@makers.page). Technical Details Maker MCP functions as an intelligent aggregation layer, abstracting the complexities of integrating various startup APIs. It connects to critical services such as Stripe for payments, Supabase for databases, Clerk for authentication, Vercel for deployment, GitHub for code management, PostHog for analytics, Resend for email, and popular social media platforms (X, LinkedIn). This architecture allows AI agents to reason over these domains through a single interface. Pros and Cons Pros: Significantly reduces marketing and operational busywork for indie founders. Centralizes control and configuration for a diverse tech stack. Empowers AI agents to perform complex, multi-platform tasks. Ensures brand consistency and accuracy with a mandatory approval workflow. Deep integration with popular developer tools and AI agents. Cons: Requires initial trust and understanding of AI agent capabilities. Potential learning curve for optimizing agent prompts and workflows. Reliance on the stability and features of integrated third-party services. Specific pricing details are not immediately transparent. Conclusion Maker MCP offers a powerful solution for indie founders seeking to automate and streamline their marketing and operational workflows. By providing a unified control plane for their entire tech stack, it enables AI agents to handle the busywork, freeing up valuable time for product development. Explore Maker MCP on GitHub today to transform how you launch and grow your product.

Zenith Quoting

Most precision machine shops lose bids not on price, but on speed. Senior estimators spend 10 to 15 hours every week manually pulling GD&T callouts, tight tolerances, and material specs off 2D PDF prints just to build a baseline quote.Zenith is an AI estimating engine built specifically for job shops. You drop in a 2D engineering print, and in under 30 seconds, Zenith parses the geometry, material callouts, and tolerances into a full line-item cost breakdown. Less time reading prints means faster turnaround, more bids submitted, and more shop capacity booked.