Living precariously on the bleeding edge of ZK + AIML | OnDeck alum | @developer_dao | https://xitter.cf/t.co/YDyKwOe3Nw

0xnode
Joined July 2009
Thrilled to share **mina-mcp-server** I built for @MinaProtocol ! It started as an idea while working on an Account Update visualiser — why not connect an LLM client (like Claude Desktop) to a server that queries the chain and delivers the latest insights in natural language?
In addition to visualising on-chain txns on Mina, the package has tools to support a zkApp developer on @MinaProtocol. We built it for developers to visualise zkApp transactions as it gets built. Lets explore...
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Next up: I’m integrating the AU visualiser into the server to map out AU trees visually. Plus, I’m planning to add support for txns on @ZekoProtocol down the line. More tools, more clarity—stay tuned! Fork and code to glory :) github.com/ronykris/mina-mcp…
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Try it out yourself. If you hit any snags or have feature requests, don’t hesitate to reach out. Excited to hear your feedback and keep building this out! cc: @h_gedia npmjs.com/package/mina-mcp-s…
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Visualize your zkApp txn as it grows! AUVisualizer creates PNG, SVG, or Markdown outputs of the transaction flow.
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AUTrace empowers devs to refine zkApp txns while in progress -- visuals, fee insights, and more for Mina developers. More features ahead, stay tuned. In the meantime, give it a try and let us know if you have feedback. NPM package - npmjs.com/package/autrace cc: @h_gedia
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In addition to visualising on-chain txns on Mina, the package has tools to support a zkApp developer on @MinaProtocol. We built it for developers to visualise zkApp transactions as it gets built. Lets explore...
Excited to share our latest work: a visualization of account updates for @MinaProtocol's on-chain transactions! Mina’s 22kb blockchain powers this. Thread below! cc: @yash_bharti99
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A dev could use it to analyse txns and summarise info to help pick the right fee, aiming for fast block inclusion!
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It tracks transaction states and account updates in real-time — ideal for devs writing zkApps step-by-step.
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Excited to share our latest work: a visualization of account updates for @MinaProtocol's on-chain transactions! Mina’s 22kb blockchain powers this. Thread below! cc: @yash_bharti99
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Mina’s lightweight design means fast syncs and verification. The viz proves it—no gigs of data needed to see on-chain action.
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Grab the npm package here -> npmjs.com/package/autrace. Let us know if you'd like to integrate it in your app. Thanks @MinaProtocol for the opportunity. cc: @h_gedia
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While the community is neck deep in using AIML tech to build meaningful businesses and solve problems; I am exploring a fun aspect using tiny LLMs. Basically, train LLMs for games and fun things. All onchain @dfinity's ICP.
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Could building a platform for transformer models, that serve a purpose, become an alternate income stream for the model owners? We are experimenting around these lines.
I don't need to train / fine tune an LLM for a specific task unless I want conversational abilities. I'd be pretty good with training/fine tuning a transformer model for the task. Training will be less resource intensive giving better control and performance. Thoughts?
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For #AIML practitioners data sets are of paramount importance. Where could one find a community of people willing to part with high quality real time data sets for research purposes?
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This is a fantastic achievement. Indeed @NoirLang is probably the most likeable DSL out there.
Just implemented Elliptic Curve Diffie-Hellman in @aztecnetwork’s Noir DSL. The elegance of Noir in simplifying zero-knowledge proof constructions is truly remarkable. Working on releasing more zero knowledge focused work built on top of Noir!
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Just implemented Elliptic Curve Diffie-Hellman in @aztecnetwork’s Noir DSL. The elegance of Noir in simplifying zero-knowledge proof constructions is truly remarkable. Working on releasing more zero knowledge focused work built on top of Noir!
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If you use @Docker then chances that dangling images are hogging unnecessary disk space. Query and delete the dangling ones in a go. docker rmi $(docker images -f "dangling=true" -q) Suffix the command string with a '-f' to force deletion.
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