I
Inkling
Open-weights multimodal foundation model built for full customization and fine-tuning
975B Parameters (41B Active)45T Tokens PretrainedMultimodal (Text, Image, Audio, Video)1M Context WindowFine-Tuning on Tinker
Opportunity score
45/100
Massive market but near-impossible entry barriers for a solo founder; the real opportunity lies in tooling or services built on top of such models.
Founder verdict
MAYBE
Inkling itself is not a clone target, but its existence validates a massive opportunity in tooling for AI customization.
What is Inkling?
Inkling is an open-weights, Mixture-of-Experts transformer model from Thinking Machines Lab with 975B total parameters (41B active), pretrained on 45 trillion multimodal tokens. It is designed not as the strongest raw performer but as a balanced, highly customizable foundation model with controllable thinking effort, large context window, and native integration with the Tinker fine-tuning platform. The release emphasizes open access, safety, and the ability for developers to own and adapt the model, demonstrated by a self-fine-tuning loop where Inkling rewrote itself. This positions Inkling as a flexible base for enterprises and researchers who need bespoke AI without vendor lock-in, though it currently trails leading closed models on absolute benchmarks.
Get the full Inkling playbook
The complete reverse-engineering โ what to copy, what to avoid, and exactly what to build instead.
- Full opportunity score across 8 dimensions
- The real problem & why customers pay
- Why it's winning โ with evidence
- Complete business reverse-engineering
- Competitive advantages & moat analysis
- Weaknesses, risks & what to avoid
- Clone strategy โ what to build instead
- Week-by-week MVP roadmap
- Recommended technical stack
- Founder verdict & highest-leverage move