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recent
p/self-promotion
by
J T
•
13h ago
Are Webhooks ready for “as-a-Service” treatment?
... Webhooks have become the
glue
holding modern SaaS together. Stripe, GitHub, Shopify, Slack they all rely on them. But once you ve built webhook delivery at scale, you realize it s not just a POST request : Retries & exponential backoff Dead-letter queues Signature verification & replay protection Monitoring & observability Customer support when events go missing We just published a deep dive into the idea of Webhook-as-a-Service (WaaS) what it is, why teams are adopting ...
0
3
p/self-promotion
by
Rich Fallat
•
11d ago
We built a Vision Pro eye-gaze arcade—with AI as a true copilot
... Galaxy modes, with a headset-anchored HUD and a custom gravity solver for smooth, readable motion. Why this is relevant to OpenAI folks We treated AI as a full-stack teammate not just for code hints: Prototyping & engine
glue
: AI-assisted Swift/RealityKit snippets (head-locked HUD, starfield batching, pooled SFX, laser system), then hand-tuned. Design ops: fast iterations on UI comps, iconography, infographics, and store artwork; copy passes for App Store, TestFlight, and outreach. Go-to-market checklists ...
1
19
p/self-promotion
by
Narayan Prasath
•
17d ago
I coded myself out of coding: and built a plain-English agent builder
... apis and mcps to wire, zaps, more context switches. I hit that wall while running growth ops. I ve spent the last decade wiring marketing stacks and automations. LLMs gave me instant drafts and it felt amazing, but the
glue
work, prompt chaining, zap setups, troubleshooting, only got heavier. The answer to all this inefficiency was to better and smartly leverage flows, and agents, so I could offload the intermediary steps. But that meant coding from scratch, langchain tutorials ...
0
2
p/introduce-yourself
by
Narayan Prasath
•
1mo ago
What Metaflow is trying to solve
... humans and machines. The friction isn t in raw model performance anymore it s in stitching small pockets of intelligence into reliable, repeatable workflows. Metaflow lets you do that stitching visually. Instead of wrestling with API keys and brittle
glue
code, you drag nodes onto a canvas: LLM nodes for reasoning or content generation Memory & RAG nodes for context retrieval Loop and Table nodes for iterative logic Code/Script nodes when you really need that unsafe-eval super-power Behind ...
2
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