See if you can apply for this wonderful opportunity at TinyFish Accelerator: a $2Million program backed by Mango Capital (the firm behind HashiCorp and Netlify).
Summary
TinyFish Accelerator is offering a $2 million program, backed by Mango Capital, which has previously supported companies like HashiCorp and Netlify. The program focuses on businesses that solve real-world problems requiring web interaction, such as data scraping, form-filling, or complex UI navigation. Applicants must build a working application using the TinyFish Web Agent API, record a 2-3 minute demo, and post it publicly on social media. The accelerator includes support from over 15 partners, including ElevenLabs, v0 by Vercel, Fireworks .ai, Google for Startups, MongoDB, AG2, Composio, and Dify, providing free credits and engineering assistance. Additionally, participants receive business mentorship from AI entrepreneurs. Applications for this program are open through the end of March.
Key takeaway
For entrepreneurs building web-interaction-dependent businesses, this TinyFish Accelerator program offers significant capital and resources. You should consider applying by March-end if your solution involves web scraping, data extraction, or automated UI workflows, as the program provides crucial API access, partner credits, and mentorship to accelerate your startup's growth.
Key insights
TinyFish Accelerator offers $2M and extensive support for web agent API-driven startups.
Principles
- Focus on real-world web interaction problems.
- Public demonstration validates application functionality.
Method
Develop an app with TinyFish Web Agent API, record a 2-3 minute public demo, and submit for accelerator consideration.
In practice
- Utilize TinyFish API for web scraping or form-filling.
- Leverage partner credits for AI/database services.
Topics
- TinyFish Accelerator
- Web Agent API
- Startup Acceleration
- Web Automation
- Venture Capital
Best for: Entrepreneur, Software Engineer, AI Product Manager
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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Learning ML & Generative AI News.