Articos MCP launched yesterday and ended the day at #1. 327 upvotes and a wall of thoughtful comments.
For a bootstrapped team, that caught us off guard, especially in a field this strong. We launched the same day as some great teams, @opencode , @Fina @Kai, and the folks behind them, @thdxr, @clay_raterman, @jim_hartung. Good day for all of us
Big thanks to @chrismessina for hunting us again. The pre-launch calls shaped the whole thing, the story, the flow, the maker comment. Chris pushed us to lead with the actual value instead of just it s an MCP now, and that reframe is a big reason yesterday worked.
It saves you so much time and guessing when you test your messaging before spending money on launching it.
@laureen2 Yes you are right! Thx for the support.
Cool to see an MCP #1 on PH! Are you looking to get on ChatGPT / Claude plugins stores? @Manufact (mcp-use) can help you getting there :)
@pederzh hey yes thats our next step after this, thanks for sharing :). Can you share some more details about manufact.
@pederzh Thx for the comment. Yes would be happy to explore that. Can you please share details at shaheer@articos.com
how granular can we get when defining our ICP personas? can we upload specific job description and pain points?
@chandrshekhar_rawen yes you can.
is it possible to refine the simulated buyer profiles over time as we learn more about our actual customers?
@emily_carter18 Hey -- yes you can refine the personas
do you plan to validate the product's predictions against the live A/B tests? for example, by running the same messaging tests with simulated audiences and real users.
@vehsakam you can run a full page test using landing page test or a description can also be tested.
Interesting product, I will be using this test it for my launches.
testing ideas on simulated buyers inside the agent is a usefull idea 🙌 how close do they match real customers?
@petrkovacik 86% accuracy is there and you can see the detail report here https://www.articos.com/science-and-methodology