Reveal Rx Revenue & Valuation (2021)

Brainbi

Price Monitoring and Analytics as SaaS

Check Plagiarism

Check Plagiarism for research papers, thesis and online articles. Check-Plagiarism allows to to check up to 25,000 online with single click.

APITemplate.io

Generate PDF documents, social media images, banners from reusable templates with no coding!

Hyperseed

Zapier for billing

Featherless AI

Featherless AI is the largest open-source LLM inference provider on Hugging Face, founded in 2024 and led by CEO and co-founder Eugene Cheah. The company offers serverless access to over 30,000 open-source models on a flat-rate pricing model, abstracting GPU infrastructure complexity for developers and prosumers who want to run AI models without managing hardware. Cheah co-created RWKV, the first attention-free AI architecture under the Linux Foundation, and the company grew out of that research community as an accidental pricing experiment that quickly outpaced the original platform. As of April 2026, Featherless AI serves 10,000 customers, generates more than $250,000 per month in revenue but less than $500,000 per month, and has a team of 27 people approaching 30. The company raised a $2 million seed round pre-launch for RWKV research, then closed a $20 million Series A in December 2025 led by Airbus Ventures and AMD Ventures. Its largest single customer pays between $1 million and $2 million per year. The single most important strategic fact is that Featherless AI built its inference stack from scratch to load models in 5 to 30 seconds, versus the industry-standard 30 minutes, enabling dynamic GPU swapping across thousands of models on demand. This technical moat lets the company serve the long tail of fine-tuned and niche-language models that no other provider hosts, which is what drove the initial Reddit-fueled signup surge and continues to differentiate it from competitors who cover only the top 100 models.

Froont

FROONT – responsive web design, the visual way! FROONT makes responsive web design visual. Design can be done in-browser with intuitive drag-and-drop tools. After all, humans judge design with their eyes therefore it seems just normal to see right away how designs will look across all different screen sizes. Each project has its own URL, that makes it easy to test the designs on real devices right away.