I built Inkr to solve a major pain point in academia: finding research collaborators and opportunities. While platforms like ResearchGate exist, they don't actively help match researchers with active funding opportunities.
Key features:
- Real-time analysis of 10,000+ active NIH research projects
- AI-powered matching based on research interests and expertise
- Smart email templates that auto-populate with relevant research context
Tech stack:
- Next.js 14 + TypeScript
- Supabase for auth/database
- Tailwind + Shadcn/UI for styling
- LangChain for AI processing
The problem became clear during my time in research: despite $40B+ in annual NIH funding, many labs struggle to find qualified collaborators, while talented researchers miss opportunities because they lack connections. Inkr bridges this gap by making research networking more systematic and data-driven.
Looking for feedback from the HN community, especially around the collaboration workflow and AI matching system.
By the way, I'm getting a domain soon—I just haven't decided which one yet. Let me know what you think!
I might use this if it had an api. Most of my data comes from the NIH api though. would be cool to find out if you could use this to use that data to find the LinkedIn profiles of the people that come up, as I don't have the funds to use Aviato.
you can use it to analyze any kind of data , i had so many pract. uses like i have a perplexity clone using it for my personal use and also for a tldr kinda search engine some of them added to automate the content creation based on live event , i think it has really cool future if worked fine. im thinking of opensourcing it
Key features: - Real-time analysis of 10,000+ active NIH research projects - AI-powered matching based on research interests and expertise - Smart email templates that auto-populate with relevant research context
Tech stack: - Next.js 14 + TypeScript - Supabase for auth/database - Tailwind + Shadcn/UI for styling - LangChain for AI processing
The problem became clear during my time in research: despite $40B+ in annual NIH funding, many labs struggle to find qualified collaborators, while talented researchers miss opportunities because they lack connections. Inkr bridges this gap by making research networking more systematic and data-driven.
Looking for feedback from the HN community, especially around the collaboration workflow and AI matching system.
By the way, I'm getting a domain soon—I just haven't decided which one yet. Let me know what you think!