Launching today
LabForge
AI research plans, grants, and paper drafts from one prompt
2 followers
AI research plans, grants, and paper drafts from one prompt
2 followers
LabForge turns a research question into an evidence-backed scientific workflow. Search and analyze literature, generate hypotheses, evaluate novelty, design experiments, prepare research funding applications, and create manuscript drafts—all from a few prompts. It brings research planning, scientific writing, data analysis, and verification into one workspace, giving researchers more time to think, experiment, and discover. Sign up free and generate your first research plan.
Hi Product Hunt! I’m Yoshito, founder and CEO of MetaSensing.
We built LabForge because researchers can spend hundreds of hours reviewing literature, preparing research funding applications, designing experiments, and writing scientific papers.
That is time that could be spent thinking, experimenting, and making new discoveries.
LabForge starts with a single research question and helps researchers:
• Search and analyze scientific literature
• Generate evidence-backed hypotheses
• Evaluate novelty and unexplored research directions
• Build detailed research and experimental plans
• Prepare research funding application content
• Create structured manuscript drafts
• Verify and strengthen scientific evidence
• Grant Application (Beta)
Unlike a general-purpose AI writing tool, LabForge is designed around the complete scientific research workflow, from the initial question to an actionable research plan and manuscript.
Our larger vision is to connect scientific reasoning, data analysis, simulations, laboratory instruments, and autonomous experimentation in one self-evolving research platform.
You can sign up for free and generate your first research plan and manuscript draft with just a few prompts and within minutes.
https://www.metaspectrabot.com/products/labforge
We would love your feedback, especially from researchers, scientists, students, and R&D teams. What part of the scientific workflow and self-evolving science should we improve next?