Lyra Chrome Extension - Automated pre-meeting research in Google Calendar.
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Lyra automates pre-meeting research directly inside Google Calendar. Stop frantically Googling 5 minutes before the call. Lyra's live agents scour the web in real-time to give you the context and sources you need.
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Lyra
Hey Product Hunt! 👋
We have all had those days. You are running back-to-back user interviews, partnership chats, sales calls, or demos.
A calendar notification pops up 2 minutes before the next call and you realise: I have no idea who I am about to talk to.
You spend the next 90 seconds frantically switching tabs between LinkedIn, their company site, and a quick Google search. Or worse, you run out of time and join the call blind.
I built the Lyra Chrome Extension to stop the scramble - never enter a call unprepared again.
It adds a simple "Research" button to your Google Calendar events.
🚀 How it works: Unlike tools that rely on stale databases, Lyra deploys live AI agents to scour the web in real-time.
With one click, you get a fresh "Cheat Sheet" containing:
Attendee Intel: Role, background, and direct LinkedIn links.
Company Context: Recent news, tech stack, and what they actually do.
Verified Sources: We link to every source so you can trust the data.
The Goal: Eliminate the "who is this?" panic and let you start every conversation with context, whether it is a user test or a sales call.
👀 Coming soon: We are building custom prompts and integrations to pull context from Calendly & your CRM directly into the brief.
I would love for you to try it out on your next meeting (it is free!) and let me know your feedback - how would you improve Lyra? What do/don't you like?
We will be hanging out in the comments all day! 👇
Henry
Product @ Lyra
Love the angle here - every team I've worked with loses 20% of call time to context switching. The fact that you're pulling this live from web agents is a smart move. How's your GTM looking for mid-market? The enterprise play feels natural but curious on your pricing strategy there.
Lyra
Thanks @imraju ! It literally takes up at least 1 hour of my day! We're working with 10-20 mid-market companies in beta - once we nail it for them, we will expand upwards from there. Our site has a bit more detail: https://lyra.so/
@henry_purchase nice...
Swytchcode
Nice. Does it integrate well with Google Meet and Zoom?
Lyra
@chilarai thanks for your comment! It works with all meeting platforms - Zoom, GMeet, Teams or Lyra 👌
Finally a meeting platform where context sticks and calls end with clear results, not just notes. Excited to see how teams adopt this! 🎉🚀
Lyra
@tiffanyddavidson thanks for your feedback 🙌
Product Hunt Wrapped 2025
Back-to-back calls here, and I’m always panic-Googling 5 mins before. The Calendar prep + 'actions not notes' bit sounds right. If it really carries context between calls and trims screenshare, nice. Curious how solid the sources feel.
Lyra
@alexcloudstar thanks for dropping a comment! Please share your feedback when you try the product out 🙌
this is genuinely something I would use. excited to test it out!
Lyra
@thecarguy appreciate it, let us know what you think!
PlanEat AI
Congratulations on the launch and I wish you the highest position!
Lyra
@torianyk Thank you so much, give Lyra a try and let us know what you think of the meeting research!
Amazing! Going to give it a try
Lyra
@miguel_duque please let us know what you think!
Congrats @Lyra team!! Love this new product!!
Lyra
@taro_f Appreciate all the support Taro!
Wow, Lyra looks amazing! That pre-meeting research inside Google Calendar is a game-changer. How does it handle paywalled content from research papers?
Lyra
@jaydev13 good question, the answer is really interesting. The technology powering Lyra is cutting edge. In most tools "research" basically means just scraping a database (or many) for an email match, think Clay, Apollo etc. They call this waterfalls. Lyra works differently. When we intercept an event in your calendar we spin up a virtual web browser in a data center, this web browser is then handed to our AI for orchestration. The AI browses web results, clicking on websites, LinkedIn profiles etc the way a human would and then runs inference on the data to generate reports. This means our reports are never out of date and also work for small or new businesses that haven't yet been aggregated by the big data scrapers. On the backend we're also caching data. Every day we host more meetings. Once we've researched a person or company we store it so the next time that person meets with someone on Lyra, the results are lighting fast. At scale we're building a proprietary people database unmatched in depth, updated with every meeting we power. As for paywalled content, the AI would get blocked the same way a human would. In practice this hasn't been an issue because the most valuable pre-meeting intelligence - recent LinkedIn activity, company news, funding announcements, podcast appearances, social media is publicly accessible!