SaaS Metrics
Product Positioning & Context
Inkling 2 Small is Thinking Machines Lab's new 594B-parameter MoE model with 17B active, built for long-horizon coding, visual tasks, and agents. Available on Tinker for inference and fine-tuning.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Inkling 2 Small?
Inkling 2 Small is a digital product or tool described as: A model that can see and refine what it builds
Where did Inkling 2 Small originate?
Data for Inkling 2 Small was aggregated directly from the Product Hunt community ecosystem, providing a stored public-discussion sample, not a representative customer survey.
When was Inkling 2 Small publicly launched?
The initial public indexing or launch date for Inkling 2 Small within our tracked developer communities was recorded on November 8, 2026.
How popular is Inkling 2 Small?
Inkling 2 Small has recorded public engagement of 163 traction score and facilitating 3 recorded discussions or engagements.
Which technical categories define Inkling 2 Small?
Based on metadata extraction, Inkling 2 Small is categorized under topics such as: Artificial Intelligence, Development.
What are some commercial alternatives to Inkling 2 Small?
Text similarity retrieved a product for further investigation: Zigzag Browser. Functional substitutability has not been verified.
How does the creator describe Inkling 2 Small?
The original author or development team describes the product as follows: "Inkling 2 Small is Thinking Machines Lab's new 594B-parameter MoE model with 17B active, built for long-horizon coding, visual tasks, and agents. Available on Tinker for inference and fine-tuning."
Community Voice & Feedback
The “see and refine what it builds” part is the one I’d actually feel day to day. Most of the time a model hands me SwiftUI code and then I’m the one running it, screenshotting it, and describing what’s off back to the model — the loop is me. If it can look at the rendered result itself and iterate, that changes the workflow completely. The four-hour training demo is impressive, but I’m curious how it holds up on long runs like that — does it stay on the original goal, or does it start drifting and optimizing the wrong thing halfway through?
If it's building a UI for me, does it look at screenshots of the running app to refine it, or only at code and error logs?
Hi everyone!Thinking Machines Lab is back with Inkling 2 Small! It's a big jump from the previous generation, especially in coding, visual tasks, and long-running agent work.In one demo, it spends over four hours training another model to forecast time series. It writes its own evaluator, tries different training approaches, fixes bugs along the way, and picks the best checkpoint.You can try it and fine-tune it on Tinker now, with full weights coming soon!And about that name... 594B total parameters, 17B active. I get the MoE math, but 594B is an interesting definition of "Small". Now I'm looking forward to the not-so-small one :)
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.