Founder @arclab_systems. Helping engineers move past fragile prototypes to build AI systems that actually ship.
MP, Jabalpur
- Tweets 347
- Following 174
- Followers 26
- Likes 233
Pinned Tweet
Weekend demos are cheap. Production systems are hard.
That's why we built @arclab_systems.
Stop building tools. Start building systems.
Most AI products die in the exact same place: Between the weekend demo and actual production.
Calling an API is easy.
State recovery, latency budgets, cost containment, and system durability are not.
Stop building tools.
Start building systems.
Welcome to ArcLab.
31
Building an AI demo takes 2 hours.
Getting it past the 80% prototype wall takes 4 months.
The 3 things that quietly break AI apps the second real users touch them:
🧵👇
1
9
Prototypes run on optimism. Production software survives on defensive architecture.
I'm building ArcLab to give developers the exact blueprints and roadmaps to ship AI systems that don't break:
🔗 arclab.systems
Made with AI
1
6
I launched @arclab_systems yesterday.
The result:
• 2 upvotes
• $0 revenue
• Near-zero impressions
Most founders hide when a launch flops.
I’m documenting Day 1 of turning it around from zero. 👇
1
1
10
The lesson:
Building software is 20%. Distribution is 80%.
You can build the cleanest architectural blueprints in the world, but if you rely on algorithms to discover you on Day 1, you will get silence.
Directories won't save you. You have to earn every user manually.
1
2
ArcLab exists to solve a real pain: turning fragile AI prototypes into durable production systems that last.
Day 1 of the real work starts now.
If you’re building AI software and want to follow the journey:
🔗 arclab.systems
1
We’re celebrating launch day with $29 Lifetime Founding Member access.
Support our launch and check out the live platform:
👉 Product Hunt: producthunt.com/products/arc…
👉 Live Platform: arclab.systems
13
13
78
Took me a year to launch.
Finally It's happening.
Stop building tools. Start building systems.
Most AI prototypes stall at 80% completion because prompt wrappers lack architecture.
ArcLab turns fragile demos into hardened software running live in production.
🔗 arclab.systems
1
29
We are officially live on Product Hunt today.
Stop building tools. Start building systems.
90% of AI prototypes stall at 80% completion because prompt wrappers lack architecture.
ArcLab is here to fix that.
👇 The 4-layer stack below
3
3
33
ArcLab takes you from raw idea to hardened production software in 30 days.
• Graph Engineering
• Loop Engines
• Contract Boundaries
• Runtime Gates
Founding lifetime pass: $29 ($49 standard).
Support our launch:
🔗 arclab.systems
2
18
Between Sol 6 and Opus 5.5, the frontier bar just skyrocketed.
Gemini 4 Pro has to clear both now. Just Imaging Google actually pulls it off? 🤯
117
The shipping velocity from OpenAI and Anthropic right now is actually unhinged. I have to refactor our backend architecture every Tuesday just to keep up with the new state of the art.
GPT-6 Sol and GPT-6 Luna, it’s your time to shine.
Rolling out today in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users.
1
20
I spent an entire year delaying my product because of bugs, perfectionism, and fear.
"Just 14 more days" turned into 12 months.
Tomorrow morning at 8 AM EST, I'm finally shipping it anyway.
Stop building tools. Start building systems.
Tomorrow we go live. 🚀
1
1
44
Question 2 for AI builders:
What broke first when you got your first 100 users?
1. Your API bill
2. Your database state
3. Your sleep schedule
(If you say "nothing", you're lying)
2
1
11
Weekend hackathons lie to you.
They make you think building software is:
90% prompt engineering
10% UI polish
Production reality:
10% model logic
90% retries, state bugs, and debugging dead webhooks at 3 AM
What's the unsexiest bug you had to fix this week?
3
1
35
Was at the Avalanche Team1 Connect workshop a few days ago, hosted at BGIEM in collaboration with Mew3 India. Great energy in the room builders, real conversations, and a solid look into where Avalanche's ecosystem is headed.
#Web3 #Avalanche #BGIEM
1
2
77
