Aniket (@anikethanda) header
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slow traveling and rethinking the human-machine interface | formerly engineer at @MojoVisionInc, @Microsoft, @UWdub | DMs opens

Seattle, WA
Joined June 2009
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I didn’t expect my first “can’t-put-it-down” book of the year to be… a nonfiction about the 1893 Chicago World’s Fair and a serial killer. But here we are. 😅 I picked up The Devil in the White City by Erik Larson, and it’s wild in the best way. Two threads running side by side: Daniel Burnham, the architect behind the Fair and a serial killer who used the chaos and crowds to lure victims. What’s sticking with me (so far) is this Burnham line: “Make no little plans; they have no magic to stir men’s blood and probably will not themselves be realized.” It immediately made me think of Sam Altman’s take: “The most counterintuitive secret about startups is that it’s often easier to succeed with a hard startup than an easy one.” Different eras, same idea: big, audacious goals create energy. They attract talent. They pull you through inevitable mess. They give people a reason to care.
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Agent ecosystem needs to evolve beyond text -> into UI. To get there, it looks like we’re converging on two strategies. Here are my notes from a third-party perspective: MCP/ChatGPT Apps - you ship a web UI component that the host embeds in an iframe - UI controlled by you; can be more rich and interactive - you make sure it works on cross-platform surfaces (mobile, web, etc) - now under Agentic AI Foundation, Linux Foundation A2UI by Google - your agent emits a declarative UI spec (data, not executable code) for the host to render - more native UI experience for user - you don't have to worry about cross-platform differences - A2A is under Linux Foundation, A2UI could follow a similar path It's not one or the other, a host can support both. It’ll be interesting to see how adoption plays out in 2026
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Airbnb MCP server—now 250+ stars on github Add it to Claude Desktop and you can simply ask: “Find me top Airbnbs in Seattle for the first week of Sep, under $250/night, near a gym and grocery store.”
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For hosts and investors, it can generate a comprehensive comp/market analysis of any given Airbnb listing. Meanwhile, for same queries OpenAI Deep Research returns listings that aren’t even available.
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Works with Pro too!
Claude Max subscribers: You can use your subscription in Cline instead of paying per-token API pricing. Here's how you can set it up 🧵
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Learning to code is more important NOW than ever. To vibe code is to command an army of tireless bots that can build whatever you want. But you gotta be a soldier first before being a good commander. Such an amazing time to be alive!
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Or just install openbnb.org extension once and the direct website will be ready for you on the listing page
1) Go to VRBO / Airbnb 2) Find a rental you like. 3) Identify the property manager firm in listing 4) Google firm name 5) Book property on their website 6) Save $400 Every. Single. Time.
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I vibe coded the Airbnb MCP server on top of the Google Maps MCP server 😂
Fun fact: the Google Maps MCP server was vibe coded by a designer on our team who is not otherwise a coder. It was also one of the first MCP servers ever written.
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Aniket retweeted
The most interesting startups to be built around AI are ahead of its current capability, UIs that seem quite different than a prompt box, and serve a new set of customers entirely. I suspect they aren’t the easy-to-explain existing markets with well established incumbents.
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Woah! Already at 17,500+ downloads for the Airbnb MCP server in few weeks! From youtube tutorials to blogs, its going places. Let me know if you need help setup; imo its the best way to find Airbnbs using AI.
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Thanks for all your support in the Product Hunt launch. OpenBnB browser extension was #3 product of the day! In last two days, we have added 500+ active users along with tons of Airbnb hosts submitting their direct booking website. We are saving hundreds of travelers ~$240 on their stays when they directly book from 160,000+ listings on OpenBnB 🚀
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Airbnb MCP server with Google DeepMind
Here is a fully Agentic example on how to use MCP servers with @GoogleDeepMind Gemini. It shows how to use the Airbnb MCP to find rooms in Paris this weekend for a booking. > Define MCP server > Convert MCP tools to Gemini > Initial Request > Agentic Loop for automatic tool calling > Final Response code ⬇️
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