u/wenklemann

Hey folks,

I am building verifiable coordination system that mainly works in supply chain and trade finance verification and coordination layer.

That core itself is industry agnostic.

I have built and trying to test it in real world sceneriro. As its already I have check across supply chain and self tooling in AI agents.

Where to find next chapter fo developer partners to try it ?

Would be great to get help from you guys.

Hi guys, I was hosting my backend on render free tier. It's running but the problem I am facing that it takes too much time.

I have created sandbox sceneriro of 11 phases that should run on enter button.

Where it takes around 30-45 seconds to load a single ID generation.

Wanted help to solve this. Want fast and reliable and free or very cheap. Can you help me out?

We’re building an API-first verification layer for cross-border trade workflows. Looking for infra and systems feedback.

In global trade, every participant maintains separate records:

supplier, buyer, bank, auditor, insurer, logistics provider.

That creates reconciliation overhead, duplicated compliance work, disputes, and financing delays.

We’ve been exploring an API-first event verification architecture where shipment, compliance, and payment events become independently verifiable across participants in near real-time.

Current focus areas:

\- Go backend

\- PostgreSQL

\- state-transition architecture

\- signature verification

\- audit-aware infrastructure

\- institutional and jurisdiction interoperability

\- machine-readable trust layers

The goal is not another dashboard layer, but reducing fragmentation between institutional systems.

Would genuinely appreciate thoughts from:

\- backend engineers

\- distributed systems engineers

\- infra architects

\- fintech infrastructure people

\- ERP/integration developers

\- early workflow/design partners in trade or logistics

Interested in pressure-testing the architecture and operational assumptions more than pitching anything.

In global trade, every participant maintains separate records:

supplier, buyer, bank, auditor, insurer, logistics provider.

That creates reconciliation overhead, duplicated compliance work, disputes, and financing delays.

We’ve been exploring an API-first event verification architecture where shipment, compliance, and payment events become independently verifiable across participants in near real-time.

Current focus areas:

\- Go backend

\- PostgreSQL

\- state-transition architecture

\- signature verification

\- audit-aware infrastructure

\- institutional and jurisdiction interoperability

\- machine-readable trust layers

The goal is not another dashboard layer, but reducing fragmentation between institutional systems.

Would genuinely appreciate thoughts from:

\- backend engineers

\- distributed systems engineers

\- infra architects

\- fintech infrastructure people

\- ERP/integration developers

\- early workflow/design partners in trade or logistics

Interested in pressure-testing the architecture and operational assumptions more than pitching anything.

I build an infrastructure of record for court grade compliance, new fintech or climate tech or Manufacturing or business tech, procurement tech, ERP, or more AI accountability software and machine economy. Without blockchain overwork. Just from API.

Privacy while keeping transparency we have built.

Would love to have some developer partners and design partners.

Open to discuss.

In global trade, every participant maintains separate records:

supplier, buyer, bank, auditor, insurer, logistics provider.

That creates reconciliation overhead, duplicated compliance work, disputes, and financing delays.

We’ve been exploring an API-first event verification architecture where shipment, compliance, and payment events become independently verifiable across participants in near real-time.

Current focus areas:

- Go backend

- PostgreSQL

- state-transition architecture

- signature verification

- audit-aware infrastructure

- institutional and jurisdiction interoperability

- machine-readable trust layers

The goal is not another dashboard layer, but reducing fragmentation between institutional systems.

Would genuinely appreciate thoughts from:

- backend engineers

- distributed systems engineers

- infra architects

- fintech infrastructure people

- ERP/integration developers

- early workflow/design partners in trade or logistics

Interested in pressure-testing the architecture and operational assumptions more than pitching anything.