SaaS Metrics
Product Positioning & Context
Twigg is a stateful API for calling LLMs. Instead of rebuilding and resending your whole conversation on every request, you create a chat once and send only the next event. Twigg holds the state: it fits context to the target model's schema, compacts or truncates when it runs long, and routes the call. Control tool schemas, system prompts and context windows from the dashboard, and track usage and billing. Build anything from personal agents to enterprise apps. You never manage context again.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Twigg?
Twigg is a digital product or tool described as: The context layer you never have to build
Where did Twigg originate?
Data for Twigg was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Twigg publicly launched?
The initial public indexing or launch date for Twigg within our tracked developer communities was recorded on September 16, 2026.
How popular is Twigg?
Twigg has achieved measurable traction, logging over 90 traction score and facilitating 3 recorded discussions or engagements.
Which technical categories define Twigg?
Based on metadata extraction, Twigg is categorized under topics such as: API, Developer Tools, Artificial Intelligence.
Are there open-source alternatives related to Twigg?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named Flowseal/tg-ws-proxy shares highly similar architectural descriptions and topics.
How does the creator describe Twigg?
The original author or development team describes the product as follows: "Twigg is a stateful API for calling LLMs. Instead of rebuilding and resending your whole conversation on every request, you create a chat once and send only the next event. Twigg holds the state: i..."
Community Voice & Feedback
Does Twigg support branching chats, like trying two different tool choices from the same context?
Hi Product HuntWe've spent the last year building AI workspaces, and before every new launch we'd end up re-engineering the same thing: the context layer. Where the conversation lives, how it gets fitted to a model's context window, how tool calls and files get replayed.What we really wanted was a hosted, stateful LLM API that didn't only work with one provider. Something like OpenAI's Responses API crossed with OpenRouter. We didn't want to spend time building infrastructure and code that weren't core to our product.Since we'd already built most of the pieces, we turned them into Twigg: the stateful API for every LLM.How it works: you create a chat and get back an ID. From then on you only send the next prompt or tool result. You don't send, or even store the context. Twigg manages that for you. Want a different model? Change one field on the next request. Twigg will fetch, assemble and fit the context to the right schema and send back the response. It even auto-compacts conversations, so you never have to worry about a chat getting too long. The idea is to move all the boilerplate logic and infrastructure LLM apps need behind one unified API.v0.1.0 is live today. It includes namespaces for organising chats per user, a dashboard for system prompts, tool schemas and context budgets. It also track per-run cost and usage so you can bill your own users. Point your agent at twigg.ai/llms.txt for the full rundown!We'd love to hear what you think, and whether anyone else has had the same context frustrations we have.Thanks for checking it out!
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.