Simerus Mahesh
@simerusm
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@a37_ai, prev @meta @playstation, software eng @uwaterloo,
Waterloo, Ontario
Joined July 2021
built in 12 hours, we set up a @Tailscale funnel to a local MCP, using: - @AmazonScience Nova Act for the web agent - @cursor_ai CLI and Background Agents SDK - custom memory engine for iMessage indexing to proactively receive messages https://t.co/QohL8fMV07
github.com
Contribute to rajansagarwal/pokeOS development by creating an account on GitHub.
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i built PokeOS for the @interaction challenge with @_rajanagarwal. Poke now - semantically understands and proactively interacts with your iMessages - autonomously interacts with your browser to fill in forms and research - spins up coding agents in your IDE
24hr Poke Automations Challenge 🌴 In addition to existing integrations like @NotionHQ, @Linear, and @Cognition, you can now add your own, custom Poke Integrations/MCPs. Custom Poke Integrations can be used for querying data, taking action, and triggering Poke Automations.
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we built PokeOS. Poke now - interacts with your iMessage proactively - fills forms/searches on your local browser - can write/debug code directly in your IDE
24hr Poke Automations Challenge 🌴 In addition to existing integrations like @NotionHQ, @Linear, and @Cognition, you can now add your own, custom Poke Integrations/MCPs. Custom Poke Integrations can be used for querying data, taking action, and triggering Poke Automations.
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shadow is an open-source background coding agent with a real-time interface and codebase context system here's a breakdown of how it works ⬇️
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i built shadow: a powerful open-source background coding agent with a real-time interface. for async, parallel work on long-running coding tasks! made in a few weeks with @_rajanagarwal @elijahkurien
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We're turning @UWaterloo into a supercomputer 💻 Arceus is a distributed training marketplace for renting unused MacBook compute to a global network, giving developers cheap compute to train large models on consumer hardware clusters! With @_rajanagarwal @josh1yan @simerusm
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we're turning @uwaterloo into a supercomputer! arceus is a cross-device distributed compute network for training large models, using model/tensor/pipeline parallelism. you can train anything, from deep neural networks to language models on the network. oss & deployment soon!
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