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Matthew

@matthewabides • 4,738 subscribers

AI slop generator, Part time investor (EL) running @crawlnetwork

Shorts

1/ this crawler went viral reading one wikipedia page. imagine 100x more crawlers reading the whole crypto web and training an llm from scratch on everything they find (karpathy's nanochat method). so i built it. you can watch every crawler live, and every one you spawn makes the next model bigger. once it's trained, the weights go open source on hugging face and you can talk to it. an llm that's only ever read crypto.

1/ this crawler went viral reading one wikipedia page. imagine 100x more crawlers reading the whole crypto web and training an llm from scratch on everything they find (karpathy's nanochat method). so i built it. you can watch every crawler live, and every one you spawn makes the next model bigger. once it's trained, the weights go open source on hugging face and you can talk to it. an llm that's only ever read crypto.

233,783 views

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i've been experimenting and built a browser extension that lets you use the queen on-chain right in the trenches you just take your crawl.md (it gives you unlimited inference) and it crawls the page with you on gmgn, axiom, wherever you trade it researches the token alongside you from what it sees on the page plus our on-chain tools, then gives you a verdict

i've been experimenting and built a browser extension that lets you use the queen on-chain right in the trenches you just take your crawl.md (it gives you unlimited inference) and it crawls the page with you on gmgn, axiom, wherever you trade it researches the token alongside you from what it sees on the page plus our on-chain tools, then gives you a verdict

25,324 views • 4 days ago

introducing queen harness: the harness is the layer around the queen that turns a question into a research job. she gets 60+ live data tools, our crawlers' browsers, a drawing engine, plans the calls herself and answers with what she found how it works: 1. tool calls in rounds: she picks the tools, fires them in parallel, reads the results and goes again. solana is read straight from the chain RPC. markets, defi, unlocks, funding rounds, polymarket, x and news sit in the same toolset 2. a visual engine: she writes the data as a block and the site draws it. fund-flow graphs laid out in layers with amounts on the arrows, holder cluster maps with common funders, token cards with a risk check per line, charts with event markers, timelines, polymarket odds, x post cards, sortable tables with csv export 3. real browsers: a pasted link goes to one of our crawlers, which opens it in chromium, photographs the page and reads it before she answers. she photographs explorers and dashboards mid-research too 4. clean inputs: x posts ranked by engagement, with giveaways and other tokens' promos dropped in code. pools, multisig vaults, exchange hot wallets and token creators are told apart from plain wallets 5. research you can watch: every tool call shows up as a step with its own timer while she works. switch tabs and the answer waits in your chat ask the queen:

introducing queen harness: the harness is the layer around the queen that turns a question into a research job. she gets 60+ live data tools, our crawlers' browsers, a drawing engine, plans the calls herself and answers with what she found how it works: 1. tool calls in rounds: she picks the tools, fires them in parallel, reads the results and goes again. solana is read straight from the chain RPC. markets, defi, unlocks, funding rounds, polymarket, x and news sit in the same toolset 2. a visual engine: she writes the data as a block and the site draws it. fund-flow graphs laid out in layers with amounts on the arrows, holder cluster maps with common funders, token cards with a risk check per line, charts with event markers, timelines, polymarket odds, x post cards, sortable tables with csv export 3. real browsers: a pasted link goes to one of our crawlers, which opens it in chromium, photographs the page and reads it before she answers. she photographs explorers and dashboards mid-research too 4. clean inputs: x posts ranked by engagement, with giveaways and other tokens' promos dropped in code. pools, multisig vaults, exchange hot wallets and token creators are told apart from plain wallets 5. research you can watch: every tool call shows up as a step with its own timer while she works. switch tabs and the answer waits in your chat ask the queen:

14,808 views • 7 days ago

i just launched a coin with Apple Face ID i didn’t even have a wallet. just signed in, gave ChatGPT an idea and my agent launched it on PONS smarmboard covered the launch fees and gas

i just launched a coin with Apple Face ID i didn’t even have a wallet. just signed in, gave ChatGPT an idea and my agent launched it on PONS smarmboard covered the launch fees and gas

11,999 views • 29 days ago

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