I'm a CS student from Shantou. Building a cross-border LLM gateway for SEA – 70% cheaper, 32ms latency, fully compliant.

Really appreciate this – and you've hit on exactly what I'm trying to build.

You're right: price alone isn't the real differentiator. Everyone can claim 'cheaper.' What most providers can't offer is the state-approved, physically isolated data zone – that's the foundation everything else sits on.

And your point about stability under high load is spot on. Latency matters, but for batch jobs (50-100 calls per session), throughput and reliability are what actually impact your bottom line.

I'm curious about your use case – what's the current bottleneck you're seeing with other providers? Timeouts? Rate limits? Inconsistent response times?

Would love to understand more. If you're open to it, I'd be happy to set you up with some free credits to test the gateway once it's ready for batch workloads.

Thanks again for the thoughtful feedback – this helps me prioritize what to build next.

This is incredibly valuable feedback. Thank you.

You're right – "trust but verify" is the key. A simple per-request log dashboard (model used, latency, response hash) is going straight to the top of my MVP feature list. It turns "trust us" into "verify for yourself."

32ms latency is the foundation; 70% cheaper is the result built on top of it. I'll use that order to frame the value.

If you're interested, feel free to join the waitlist. I'll notify you when it's ready:

👉 https://forms.gle/JZmnpvoFnhQkMC347

Thanks again for the advice – it's very helpful.

Emmanuel, thanks again for the thoughtful feedback and the offer to collaborate.

You're absolutely right that the credit card barrier in SEA is a huge problem. Many developers simply can't access OpenAI/Anthropic because of it. I'd definitely like to solve this for my gateway.

I took a quick look at Coal – interesting concept, and I appreciate you reaching out.

For my own research, I also came across the x402 protocol (backed by Solana Foundation, Google Cloud, etc.), which solves a similar problem – enabling pay-per-call API payments with stablecoins. It's already been integrated by 50+ API services.

That said, before moving forward with any solution, I have a few questions about the compliance side:

1. Does Coal perform any KYC (even lightweight) on payers?
   2. Are transactions screened for on-chain risk (sanctions, mixers, darknet addresses)?
2. Does USDC settle directly to my wallet, or can it be converted to fiat and sent to my bank account?

These are important for me to ensure the payment layer is compliant from day one.

Looking forward to your thoughts.

Best,
Zihan

If you know any devs or teams struggling with API costs or data residency for their SEA enterprise customers, I'd really appreciate an intro. Happy to give them early access and $10 in free credits to test.

Also, feel free to join the waitlist yourself: 👉 https://forms.gle/NNxRbMoMLRVy4vmx9

Great to hear the SEA perspective – and you're spot on about data residency. I've seen too many devs realize it too late when selling to enterprise.

On your question: the 70% cheaper is compared to OpenAI's public API pricing (e.g., GPT-4o-mini). The compliance layer is not an extra fee – it's built into the gateway's cost structure.

Why? Because the Shantou cross-border data zone is a state-approved pilot with physically isolated infrastructure. The compliance is baked into the channel itself, not something I tack on top.

That said, there is a small premium compared to calling DeepSeek directly (~0.30vs0.14 per 1M input). That premium covers:

Unified billing & request logs
Rate limiting & gateway reliability
The compliant channel itself
Support for multiple Chinese LLMs

But even with that premium, it's still ~70% cheaper than OpenAI's entry-level models.

Curious – what specific latency/real-time use cases are you building for? Would love to understand your stack.

Fair point. You're absolutely right – for compliance-sensitive teams, 'physical isolation' alone isn't enough. The legal team needs to see documentation they can trust.

What I have working in my favor:
The Shantou cross-border data zone is a state-approved pilot (not something I built myself)
The infrastructure is physically isolated from the public internet by design
The '来数加工' policy explicitly supports data-in, process-in, results-out without domestic mixing

That said, I'm still early. I know the next step is to turn these policy foundations into clear, shareable compliance docs (data flow diagrams, subprocessor lists, SOC-type reports where applicable).

If you're speaking from experience – what would make your legal team comfortable with a new API provider? Would love to learn the actual bar, not just guess it.

Hey MagnoApi, thanks for reaching out – and nice work on your project too!

I'd definitely be open to collaborating and testing each other's APIs. Once my gateway is ready for beta, I'll let you know. In the meantime, feel free to join the waitlist so you get notified first.

Quick question: which LLM provider are you currently using as your backend? Would love to understand your stack.

Thanks for reaching out. Could you share more details – is this a paid listing or free? And what's the reach (monthly visitors, target audience)? I'm still early stage, so want to be thoughtful about where I invest time.

Great questions, and thank you for sharing such detailed insights. The Vietnam market perspective is very valuable.

1. On local payment channels (VietQR, etc.):

Right now, my target customers are individual developers and small SaaS teams in SEA. Most of them are already used to paying for API services in USD via Stripe/PayPal. So at this stage, buyers in Singapore and Indonesia can pay in USD without any issue.

However, I completely understand your point – for non-dev SMBs in Vietnam, USD payment is a real barrier. My current priority is validating the product itself, not customizing payments for each market. If there's strong demand in the future, I'll explore local payment channels (VietQR, QRIS in Indonesia, etc.). But in the early stage, keeping it simple and iterating fast is more important than covering every payment method.

2. On segmenting compliance messaging:

You're spot on. I've learned a lot from this thread. My initial post focused too much on the 'data bonded zone,' which confused some developers.

I haven't segmented the pages yet – simply because my user base is still very small. At this stage, I rely on direct conversations to understand each user's needs. I communicate differently with enterprise users vs indie developers.

Long-term, I plan to do this:

Indie developers / personal users: Highlight "low-latency, 70% cheaper, OpenAI-compatible." Compliance as a trust badge in the footer or a separate trust page.

Enterprise users: A dedicated page with detailed information about the "data bonded zone," compliance certifications, SLA guarantees, data security, etc.

Right now, my target users are individual developers and small teams, so my messaging is prioritized for them.

3. On 'which part gets paid first':

Developers pay me.

Great questions. Reliability and uptime are core concerns I take very seriously.

On energy reliability:
The advantage of wind energy is primarily cost. The data center draws power from the grid – not directly from the wind turbines – so grid stability ensures reliable power.

On backup systems:
I'm planning multi-node deployment and upstream failover at the gateway layer. I'll have the specifics in place before launch and will publish uptime data.

On developer interest in SEA:
It's still very early. The likes and comment count aren't huge, but the signals are positive. I'll keep building and let the product speak for itself.
If you're interested, feel free to join the waitlist. I'll notify you when it's ready:https://forms.gle/JZmnpvoFnhQkMC347

It's globally accessible. As long as you have an internet connection, you can use the API.

However, the latency advantage is mainly for Southeast Asia – thanks to the direct subsea cable from Shantou to Singapore, latency will be very low (~32ms) for users in Singapore, Indonesia, Malaysia, Thailand, etc. Other regions can still use it, but latency will be higher.

So: best experience in SEA, but available worldwide.
If you're interested, feel free to join the waitlist. I'll notify you when it's ready:

👉 https://forms.gle/JZmnpvoFnhQkMC347

Thanks! I'm still early on this. What would make something like this useful for you?

This is a great question, and honestly, it's where I'd like to take this project in the long run.

From what I've seen talking to other developers, the pain usually starts when a team has:
- 3+ different providers (e.g., OpenAI for some tasks, Anthropic for others)

• Multiple team members sharing API keys
• Workflows that break when a model alias changes unexpectedly

Right now, I'm focused on the foundation – building a reliable, low-cost gateway for individual developers and small teams in SEA. But the unified gateway for enterprise teams is a logical next step.

Out of curiosity: at what scale (number of developers? monthly API spend?) did your team first feel the need for a centralized gateway? Would love to learn from your experience.

Just to clarify – I'm not building my own model. I'm building an API gateway that provides access to existing LLMs (DeepSeek, etc.) through Shantou's cross-border data channel.

So the output quality is determined by the underlying model, not my gateway. My value is:
- Cost: ~70% cheaper than OpenAI
- Latency: ~32ms to Singapore

• Compliance: State-approved data bonded zone

That said, your point about needing real data is fair. I plan to publish:

• Latency benchmarks (from Singapore)
  - Cost comparison per 1M tokens
• Uptime/reliability stats once I have them

What specific data would make you trust a new API gateway provider?

This is very practical advice. You're right – trust comes from data, not claims. For an MVP, would you recommend starting with a simple latency dashboard (live pings to SG) or a side-by-side cost/latency comparison chart against OpenAI on a few common tasks? Also, how would you suggest finding those first few pilot users?

This is a brilliant angle. You're absolutely right: the real barrier for researchers isn't just API cost, it's the 'cold start' problem of not having effective prompts for their specific field.

I want to build exactly that: a small, open-source library of academic prompts for SEA researchers, designed to work with my low-cost API. It would turn my 'cheaper token' into a 'complete research assistant toolkit'.

Which academic field in Southeast Asia do you think has the most urgent need for this, but the least access to good AI tools? Chemistry? Social Sciences? Medical research? Your answer will help me pick my first niche.

This is incredibly valuable feedback. You're right. 'Cheaper' alone can sound like a red flag.

The real moat is exactly what you said: purpose-built infrastructure for SEA.
Lower latency (the direct cable to SG ~32ms)
Compliant routing (the 'data bonded zone')
Cost based on physical infra, not just reselling.

In the long run, uptime, reliability, and a clear data policy are what make developers switch.

I'll work on framing the message around 'reliable, regional infrastructure that happens to be 70% cheaper' , rather than the other way around.

A quick question for you: As a developer in this space, which data point would you trust more on a landing page?

'70% cheaper than OpenAI'

'32.7ms avg latency to Singapore' + 'Powered by state-approved cross-border data infrastructure'

Thanks again for pushing me to think bigger.

Personally, I'm betting on stability and latency being the top priority for SEA devs. The subsea cable gives us a real advantage there. But I'd love to hear if I'm wrong — does a dirt-cheap price matter more than rock-solid uptime for your side projects?

Thanks for the suggestion! Just checked out Pterocos — interesting tool. Good luck with it!
And yes, planning to post regular updates here as I build. Appreciate the support!