u/Dokonani

Hi, I’m building a small Python layer that sits between the user and any LLM. Its job is to maintain continuity. It would continuously organize useful information from interactions, track what stays salient across days or weeks, and inject only the relevant context back into the model when needed. The hypothesis is that this kind of persistent continuity can improve real-world use more than simply switching to a larger model.

I’m still at the design stage, but I have a clear architecture and a plan for the first prototype. I’m looking for $4k, which would fund the initial development phase through a working prototype.

If this sounds interesting, I’m happy to walk through the design, explain why I think current memory approaches don’t solve the problem, and discuss where I think it could go. Open to talking about investment/equity if there’s mutual interest.

Hi, I’m building a small Python layer that sits between the user and any LLM. Its job is to maintain continuity. It would continuously organize useful information from interactions, track what stays salient across days or weeks, and inject only the relevant context back into the model when needed. The hypothesis is that this kind of persistent continuity can improve real-world use more than simply switching to a larger model.

I’m still at the design stage, but I have a clear architecture and a plan for the first prototype. I’m looking for $4k, which would fund the initial development phase through a working prototype.

If this sounds interesting, I’m happy to walk through the design, explain why I think current memory approaches don’t solve the problem, and discuss where I think it could go. Open to talking about investment/equity if there’s mutual interest.

I’m working on an infrastructure idea that’s still at the architecture stage, a Python layer that maintains long-term continuity between users and LLMs and tracks what stays salient over time. I’m trying to figure out the best way to raise a small amount (around $4k) to build the first prototype before incorporating or approaching VCs.

If you were in this position, how would you approach it? Would you focus on finding an individual angel, apply to founder programs, or something else? I’d really appreciate any advice from people who’ve been through this.

I’m working on an infrastructure idea that’s still at the architecture stage, a Python layer that maintains long-term continuity between users and LLMs and tracks what stays salient over time. I’m trying to figure out the best way to raise a small amount (around $4k) to build the first prototype before incorporating or approaching VCs.

If you were in this position, how would you approach it? Would you focus on finding an individual angel, apply to founder programs, or something else? I’d really appreciate any advice from people who’ve been through this.

Hi, I’m building a small Python layer that sits between the user and any LLM. Its job is to maintain continuity. It would continuously organize useful information from interactions, track what stays salient across days or weeks, and inject only the relevant context back into the model when needed. The hypothesis is that this kind of persistent continuity can improve real-world use more than simply switching to a larger model.

I’m still at the design stage, but I have a clear architecture and a plan for the first prototype. I’m looking for $4k, which would fund the initial development phase through a working prototype.

If this sounds interesting, I’m happy to walk through the design, explain why I think current memory approaches don’t solve the problem, and discuss where I think it could go. Open to talking about investment/equity if there’s mutual interest.

Hi, I’m building a small Python layer that sits between the user and any LLM. Its job is to maintain continuity. It would continuously organize useful information from interactions, track what stays salient across days or weeks, and inject only the relevant context back into the model when needed. The hypothesis is that this kind of persistent continuity can improve real-world use more than simply switching to a larger model.

I’m still at the design stage, but I have a clear architecture and a plan for the first prototype. I’m looking for $4k, which would fund the initial development phase through a working prototype.

If this sounds interesting, I’m happy to walk through the design, explain why I think current memory approaches don’t solve the problem, and discuss where I think it could go. Open to talking about investment/equity if there’s mutual interest.

Hi, I’m building a small Python layer that sits between the user and any LLM. Its job is to maintain continuity. It would continuously organize useful information from interactions, track what stays salient across days or weeks, and inject only the relevant context back into the model when needed. The hypothesis is that this kind of persistent continuity can improve real-world use more than simply switching to a larger model.

I’m still at the design stage, but I have a clear architecture and a plan for the first prototype. I’m looking for $4k, which would fund the initial development phase through a working prototype.

If this sounds interesting, I’m happy to walk through the design, explain why I think current memory approaches don’t solve the problem, and discuss where I think it could go. Open to talking about investment/equity if there’s mutual interest.

Hi, I’m building a small Python layer that sits between the user and any LLM. Its job is to maintain continuity. It would continuously organize useful information from interactions, track what stays salient across days or weeks, and inject only the relevant context back into the model when needed. The hypothesis is that this kind of persistent continuity can improve real-world use more than simply switching to a larger model.

I’m still at the design stage, but I have a clear architecture and a plan for the first prototype. I’m looking for $4k, which would fund the initial development phase through a working prototype.

If this sounds interesting, I’m happy to walk through the design, explain why I think current memory approaches don’t solve the problem, and discuss where I think it could go. Open to talking about investment/equity if there’s mutual interest.

Hi, I’m building a small Python layer that sits between the user and any LLM. Its job is to maintain continuity. It would continuously organize useful information from interactions, track what stays salient across days or weeks, and inject only the relevant context back into the model when needed. The hypothesis is that this kind of persistent continuity can improve real-world use more than simply switching to a larger model.

I’m still at the design stage, but I have a clear architecture and a plan for the first prototype. I’m looking for $4k, which would fund the initial development phase through a working prototype.

If this sounds interesting, I’m happy to walk through the design, explain why I think current memory approaches don’t solve the problem, and discuss where I think it could go. Open to talking about investment/equity if there’s mutual interest.

Hi, I’m building a small Python layer that sits between the user and any LLM. Its job is to maintain continuity. It would continuously organize useful information from interactions, track what stays salient across days or weeks, and inject only the relevant context back into the model when needed. The hypothesis is that this kind of persistent continuity can improve real-world use more than simply switching to a larger model.

I’m still at the design stage, but I have a clear architecture and a plan for the first prototype. I’m looking for $4k, which would fund the initial development phase through a working prototype.

If this sounds interesting, I’m happy to walk through the design, explain why I think current memory approaches don’t solve the problem, and discuss where I think it could go. Open to talking about investment/equity if there’s mutual interest.

Memory, context, something else? What do you think?