>work
>tensorplex dojo
blog posttl;dr
- highlights:
- ~1% of network emissions, backed by yzi labs, dojo interface coder 7b, sft and dpo datasets, signature verification for multisig setups, kami
- status:
- archived
- year:
- 2024-2025
- role:
- architect, product owner, sole developer → tech lead
- stack:
- python, go, typescript, nextjs, react, litellm, instructor, langfuse, openrouter, huggingface, playwright, typescript-lsp, postgres, milvus, redis, docker, aws, pm2, fastapi, gin, cohere.ai, siws
- challenges:
- game theory, incentive mechanism design, anti-gaming mechanisms in an adversarial open-source environment, embracing new ai tooling when it hasn't matured, designing cicd flows to prevent vibe coded slop
- lessons:
- build the product first then decentralize, narrow scope beats broad ambition, without evals every architecture decision is a judgment call, assume everything will be reverse-engineered in open-source adversarial environments, technical decisions need to be made by the people who understand the engineering
- links:
- synthetic api, dojo v1, worker api, messaging, kami, docs
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>tensorplex stream
tl;dr
- highlights:
- <1s time to first token (TTFT), 2000+ insights generated from 40+ bittensor youtube channels, secured USD$3m funding, inference on bittensor corcel's decentralized API with fallbacks via openrouter/litellm
- status:
- archived
- year:
- 2023-2025
- role:
- architect, backend & ai engineer
- stack:
- python, typescript, nextjs, react, litellm, instructor, langfuse, openrouter, huggingface, postgres, milvus, redis, docker, aws, pm2, fastapi, cron, scheduling, cohere.ai, together.ai
- challenges:
- ai observability, writing evals, measuring system performance of reranking and query classification/decomposition/expansion, chunking experiments for sentence window/small-to-big retrieval, scraping youtube with heavy anti-botting mechanisms
- lessons:
- it's easier to write your own ai components than to use langchain, evals & observability are essential before measuring effects of new components in your system, evals evals EVALS
- links:
- release announcement, fundraise announcement
















