Twigg
Product Hunt Matti De Beer
Twigg is a stateful API for LLM chats, so you send the next event instead of rebuilding the whole thread. It handles context fit, truncation, and lock-in headaches through a dashboard.
Based on reporting by Product Hunt, Matti De Beer — read the original for the full story.
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Twigg is trying to make the messy part of LLM apps disappear. The Product Hunt listing calls it a stateful API for interacting with LLMs, built around a simple idea: create a chat once, then send the next event instead of resending the whole conversation every time.
Under the hood, Twigg keeps the conversation state and adapts it to the model you’re calling. It fits context to the requested schema, compacts it when the thread gets long, and truncates it if needed before routing the request onward. The pitch is not just convenience. It’s also about avoiding provider lock-in, which is the kind of problem that shows up after the demo works and the real app starts accumulating edge cases.
The dashboard is part of the hook. From there, developers can control tool schemas, system prompts, and context windows, while also tracking usage and billing. That makes Twigg sound less like a thin API wrapper and more like a control panel for the entire conversation layer.
The target use cases are broad: personal agents, ChatApps, and even enterprise apps. But the core promise stays the same throughout the listing. You build the experience, Twigg handles the state, and nobody has to keep rebuilding context plumbing by hand.
My take — AI-written commentary, not fact-checked reporting
This is the kind of boring infrastructure people only appreciate after they’ve suffered through it twice. The open question isn’t whether context management is useful; it’s why so many teams still treat it like a side quest. If Twigg really keeps the lock-in trap at bay, that’s the actual product, not the dashboard polish.
Read more about this at: Product Hunt