u/NinthGreenat9

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Hey reddit nerds,

Proud to say this is my first time posting on reddit. But seems this is the best place to turn for what I'm looking for... I am the founder of an early-stage computational materials and molecular design venture, and I’m looking for serious scientific talent to join my inner circle. I am not going to wave hands about generic "AI discovery." I have a functioning platform, and if you are the right fit, I will show you our pipeline, terminal transcripts, and data in our first call so you can see exactly what we've built.

What we have right now:

Active Physical Validation: We have a signed, funded Sponsored Research Agreement (SRA) with a top-tier academic biophysics/materials lab to ground our predictive engine in analog reality.

The Locked Panel: A 30-well experimental design plate of our deterministically engineered synthetic variants is undergoing various stress tests in a physical lab.

Complete Data Integrity: The entire pipeline runs on an immutable, content-addressed data provenance ledger mapped to strict data-integrity standards

We are transforming soft-matter engineering from an empirical guessing game into a Materials Design Automation (MDA) engine. We design custom, sequence-defined polymers and macromolecular architectures engineered to handle extreme environmental, thermodynamic, and non-equilibrium state transitions. We aren't blindly guessing molecular structures and praying. We built a Thermodynamic Constraint-Satisfaction Network that routes structural engineering based on specific target payload or system failure mechanics:

The "Matrix" Loop: For macromolecular systems vulnerable to structural dissociation under stress, our engine optimizes for precise charge asymmetry constraints ($\kappa > 0.40$) and specific Sequence Charge Decoration (SCD) topologies to form rigid, system-spanning physical networks that lock components in place

The "Shield" Loop: For components that fail via bimolecular aggregation or localized misfolding, the engine forces alternating topologies ($\kappa < 0.25$) to create highly repulsive, fluid steric spacers that maintain spatial stability.

This engine is already university backed and we have high aspirations for the impact it'll have on world health ( Will explain when we connect)

.

Who I need: I have the operational chassis and the physics engine moving. I need an elite team of scientists and engineers to help scale, refine, and push the circumference of this grid out. If you have deep, hands-on experience in:

• Inverse statistical mechanics & polymer/soft-matter physics
• Coarse-grained Molecular Dynamics (CG-MD) or enhanced sampling simulation
• Generative biomolecular/polymer design codebases (Diffusion models, ESM-family, structural inference networks, etc.)
• Physical chemistry, glassy state dynamics, or ionic transport (with an eye for broad materials engineering, from macromolecular stabilizers to solid polymer electrolytes)

Who I'll Take: honestly, if you are highly fluent in claude code, the science is just a plus. I need hustlers who are fluent in claude code. We can teach you the science (tbh many tasks you don't need to even get it).

This venture took off much sooner than i anticipated and i have a mandate to assemble a 15 person team within the next 3 weeks. If you want to be on that team, dm me here with a brief bio and/or CV and include the # of hours per week you can dedicate to this. Comp can be paid in all forms, though most of our recent hires are taking option packages so we can use all fundraising proceeds for compute and commercialization.

thanks!

a fellow nerd

Hey reddit nerds,

Proud to say this is my first time posting on reddit. But seems this is the best place to turn for what I'm looking for... I am the founder of an early-stage computational materials and molecular design venture, and I’m looking for serious scientific talent to join my inner circle. I am not going to wave hands about generic "AI discovery." I have a functioning platform, and if you are the right fit, I will show you our pipeline, terminal transcripts, and data in our first call so you can see exactly what we've built.

What we have right now:

Active Physical Validation: We have a signed, funded Sponsored Research Agreement (SRA) with a top-tier academic biophysics/materials lab to ground our predictive engine in analog reality.

The Locked Panel: A 30-well experimental design plate of our deterministically engineered synthetic variants is undergoing various stress tests in a physical lab.

Complete Data Integrity: The entire pipeline runs on an immutable, content-addressed data provenance ledger mapped to strict data-integrity standards

We are transforming soft-matter engineering from an empirical guessing game into a Materials Design Automation (MDA) engine. We design custom, sequence-defined polymers and macromolecular architectures engineered to handle extreme environmental, thermodynamic, and non-equilibrium state transitions. We aren't blindly guessing molecular structures and praying. We built a Thermodynamic Constraint-Satisfaction Network that routes structural engineering based on specific target payload or system failure mechanics:

The "Matrix" Loop: For macromolecular systems vulnerable to structural dissociation under stress, our engine optimizes for precise charge asymmetry constraints ($\kappa > 0.40$) and specific Sequence Charge Decoration (SCD) topologies to form rigid, system-spanning physical networks that lock components in place

The "Shield" Loop: For components that fail via bimolecular aggregation or localized misfolding, the engine forces alternating topologies ($\kappa < 0.25$) to create highly repulsive, fluid steric spacers that maintain spatial stability.

This engine is already university backed and we have high aspirations for the impact it'll have on world health ( Will explain when we connect)

.

Who I need: I have the operational chassis and the physics engine moving. I need an elite team of scientists and engineers to help scale, refine, and push the circumference of this grid out. If you have deep, hands-on experience in:

• Inverse statistical mechanics & polymer/soft-matter physics
• Coarse-grained Molecular Dynamics (CG-MD) or enhanced sampling simulation
• Generative biomolecular/polymer design codebases (Diffusion models, ESM-family, structural inference networks, etc.)
• Physical chemistry, glassy state dynamics, or ionic transport (with an eye for broad materials engineering, from macromolecular stabilizers to solid polymer electrolytes)

Who I'll Take: honestly, if you are highly fluent in claude code, the science is just a plus. I need hustlers who are fluent in claude code. We can teach you the science (tbh many tasks you don't need to even get it).

This venture took off much sooner than i anticipated and i have a mandate to assemble a 15 person team within the next 3 weeks. If you want to be on that team, dm me here with a brief bio and/or CV and include the # of hours per week you can dedicate to this. Comp can be paid in all forms, though most of our recent hires are taking option packages so we can use all fundraising proceeds for compute and commercialization.

thanks!

a fellow nerd

Hey reddit nerds,

Proud to say this is my first time posting on reddit. But seems this is the best place to turn for what I'm looking for... I am the founder of an early-stage computational materials and molecular design venture, and I’m looking for serious scientific talent to join my inner circle. I am not going to wave hands about generic "AI discovery." I have a functioning platform, and if you are the right fit, I will show you our pipeline, terminal transcripts, and data in our first call so you can see exactly what we've built.

What we have right now:

Active Physical Validation: We have a signed, funded Sponsored Research Agreement (SRA) with a top-tier academic biophysics/materials lab to ground our predictive engine in analog reality.

The Locked Panel: A 30-well experimental design plate of our deterministically engineered synthetic variants is undergoing various stress tests in a physical lab.

Complete Data Integrity: The entire pipeline runs on an immutable, content-addressed data provenance ledger mapped to strict data-integrity standards

We are transforming soft-matter engineering from an empirical guessing game into a Materials Design Automation (MDA) engine. We design custom, sequence-defined polymers and macromolecular architectures engineered to handle extreme environmental, thermodynamic, and non-equilibrium state transitions. We aren't blindly guessing molecular structures and praying. We built a Thermodynamic Constraint-Satisfaction Network that routes structural engineering based on specific target payload or system failure mechanics:

The "Matrix" Loop: For macromolecular systems vulnerable to structural dissociation under stress, our engine optimizes for precise charge asymmetry constraints ($\kappa > 0.40$) and specific Sequence Charge Decoration (SCD) topologies to form rigid, system-spanning physical networks that lock components in place

The "Shield" Loop: For components that fail via bimolecular aggregation or localized misfolding, the engine forces alternating topologies ($\kappa < 0.25$) to create highly repulsive, fluid steric spacers that maintain spatial stability.

This engine is already university backed and we have high aspirations for the impact it'll have on world health ( Will explain when we connect)

.

Who I need: I have the operational chassis and the physics engine moving. I need an elite team of scientists and engineers to help scale, refine, and push the circumference of this grid out. If you have deep, hands-on experience in:

• Inverse statistical mechanics & polymer/soft-matter physics
• Coarse-grained Molecular Dynamics (CG-MD) or enhanced sampling simulation
• Generative biomolecular/polymer design codebases (Diffusion models, ESM-family, structural inference networks, etc.)
• Physical chemistry, glassy state dynamics, or ionic transport (with an eye for broad materials engineering, from macromolecular stabilizers to solid polymer electrolytes)

Who I'll Take: honestly, if you are highly fluent in claude code, the science is just a plus. I need hustlers who are fluent in claude code. We can teach you the science (tbh many tasks you don't need to even get it).

This venture took off much sooner than i anticipated and i have a mandate to assemble a 15 person team within the next 3 weeks. If you want to be on that team, dm me here with a brief bio and/or CV and include the # of hours per week you can dedicate to this. Comp can be paid in all forms, though most of our recent hires are taking option packages so we can use all fundraising proceeds for compute and commercialization.

thanks!

a fellow nerd