u/DjuricX

Pre-seed GPU cloud infrastructure startup, looking for strategic investors / infrastructure-minded angels

A while ago I posted about this idea in r/AngelInvesting and it got a lot of attention. It even became the most upvoted post there, but most conversations ended up being talk with nothing concrete. I stepped back from the subject for a while, but now we are back, the model is cleaner, and we are ready to execute.

We are building GPU cloud infrastructure for AI teams that need affordable high performance compute for training, inference, hosting, rendering, and other compute intensive workloads.

The problem is simple: AI demand is growing fast, but reliable GPU compute is still expensive, limited, or unpredictable. Teams usually depend on hyperscalers, premium GPU clouds, buying hardware, or marketplaces, all of which have tradeoffs around cost, access, reliability, or capital requirements.

Our long term advantage is energy cost. GPU infrastructure is power intensive, and we believe building from Africa creates a path toward cheaper reliable energy and better long term margins. This is not just GPU rental. The goal is to build a cost efficient AI infrastructure platform serving both local and global demand.

We are currently pre-deployment and pre-revenue, but have made real progress:

 Supplier access confirmed

Installation support quoted

Deployment plan ready

First deployment can go live around two weeks after funding

Demand conversations with potential customers and partners.

Investor deck and financial model prepared

We are raising approximately 571k$ to fund the first deployment and prove utilization, uptime, revenue collection, customer retention, and operating reliability.

Looking for serious angels, operators, or strategic investors with experience in AI infrastructure, GPU cloud, data centers, energy, cloud computing.

I can share the deck and financial model privately with serious people.

reddit.com
u/DjuricX — 2 days ago

Pre seed GPU cloud infrastructure startup, looking for strategic investors / infrastructure minded angels

A while ago I posted about this idea in r/AngelInvesting and it got a lot of attention. It even became the most upvoted post there, but most conversations ended up being talk with nothing concrete. I stepped back from the subject for a while, but now we are back, the model is cleaner, and we are ready to execute.

We are building GPU cloud infrastructure for AI teams that need affordable high performance compute for training, inference, hosting, rendering, and other compute intensive workloads.

The problem is simple: AI demand is growing fast, but reliable GPU compute is still expensive, limited, or unpredictable. Teams usually depend on hyperscalers, premium GPU clouds, buying hardware, or marketplaces, all of which have tradeoffs around cost, access, reliability, or capital requirements.

Our long term advantage is energy cost. GPU infrastructure is power intensive, and we believe building from Africa creates a path toward cheaper reliable energy and better long term margins. This is not just GPU rental. The goal is to build a cost efficient AI infrastructure platform serving both local and global demand.

We are currently pre-deployment and pre-revenue, but have made real progress:

 Supplier access confirmed

Installation support quoted

Deployment plan ready

First deployment can go live around two weeks after funding

Demand conversations with potential customers and partners.

Investor deck and financial model prepared

We are raising approximately 571k$ to fund the first deployment and prove utilization, uptime, revenue collection, customer retention, and operating reliability.

Looking for serious angels, operators, or strategic investors with experience in AI infrastructure, GPU cloud, data centers, energy, cloud computing.

I can share the deck and financial model privately with serious people.

reddit.com
u/DjuricX — 5 days ago
▲ 24 r/Monero

I made a small tool called xmr-ops for people running their own Monero payment setup.

It checks local config files for common mistakes like exposed wallet-rpc, bad bind settings, loose env/wallet file permissions, webhook issues, reverse proxy mistakes, missing backup signs, and risky Docker settings.

It is local-only and read-only. No telemetry, no RPC probing, no wallet access.

I am looking for feedback from people who actually run this kind of setup. Mostly interested in what assumptions are wrong, what checks are useless, or what obvious footguns I missed.

https://github.com/Djuricx01/xmr-ops

u/DjuricX — 19 days ago

based on whatever u studying, if u dead serious about ur career, a dashboard will def be a life saver.

u/DjuricX — 24 days ago

I’ve been building a small experiment called Agentroom, instead of chatting with one AI assistant, you talk into a Zoom-like room with multiple AI agents. Each one has a different role: skeptic, creative thinker, analyst, and synthesizer. after you speak, they decide whether they want to respond, raise their hand, show a short preview, and you click who gets the floor.

It’s still rough, but the interaction feels surprisingly different from normal chat. More like running an idea past a tiny advisory panel than prompting a chatbot.

u/DjuricX — 25 days ago