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darweenist

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Oh god, I just went to the Call Annie landing page and first thing I see is the freaky AI slop avatar...her face is the last thing I'd want to stare at while I stumble through my Japanese study session every day. I'd rather talk to the Duolingo owl I think. The lingle approach of just having my face on the screen is actually kinda clever. Maybe it could recognize by my expression when I'm confused and help me out lol. I can also see how I actually look during the conversation which imo is a big part of communicating.

I would use this if it had a hotkey to instantly translate what I have highlighted into English in an overlay. I can see Cortex having several other keyboard shortcuts that can perform custom actions that I have set up for my account. Are there any other preconfigured shortcuts that you've thought of implementing?

Martin AI (YC S23) | https://trymartin.com | Founding Product Engineer | Founding AI Engineer | San Francisco (ONSITE)

Martin is an AI personal assistant. Text, call, or email Martin. It manages your calendar, inbox, to-dos, reminders, notes, messages, calls, and more.

Why work at Martin?

- We've built the most advanced AI personal assistant on the market, light years ahead of Siri and Alexa.

- 5 months since launch, Martin has completed over 500,000 tasks for 30,000 users, and our user base is growing 10% every week.

- Our team is lean but effective, with a culture of shipping fast and obsessing over user experience.

- You’ll have a large impact on our product direction, which will be reflected in significant equity compensation.

- Our mission is to build the most impactful consumer product since the iPhone.

Apply at: https://www.ycombinator.com/companies/martin/jobs/

Great question. It can do both! You just have to add Martin to Slack once from our web app. Then you can:

1) DM the Martin bot in Slack to reach Martin.

And 2) Ask Martin on any platform (web, sms, iOS app) to read/send/react to messages as you directly from your own Slack account.

Congrats on the launch guys! Tried the product early on and it’s clearly improved a ton. I’m still using Cursor every day mainly because of how complete the feature set is - autocomplete, command K, highlight a function and ask questions about it, and command L / command shift L. I am not sure what it’ll take for me to switch - maybe I’m not an ideal user somehow… I’m working in a relatively simple codebase with few collaborators?

I’m curious what exactly people say causes them to make the switch from Cursor to Codebuff? Or do people just use both?

I’d love to have something like this in Xcode. Or alternatively if I could export an xcodeproj file from my Spawn project? I couldn’t imagine developing an entire launchable app in English (at least not yet). But if it could build an MVP that I can then iterate on, that would be awesome!

I like the idea of a more intricate theory for task management. We also don't want to just wrap your calendar. Right now, you can dump a bunch of upcoming tasks to Martin through voice, text, or via a forwarded email. It'll set them as reminders and then bring them up in future syncs to check on progress. It's just a start though, we can definitely make it more complete - i.e. "break down tasks, complete subtasks, identify partial completion and have it identify the remaining portions, get suggestions on breakdown, get advice on which tasks to complete when."

We'll be experimenting a lot and releasing updates to Martin's home screen layout and feed soon! There's a good chance this will come with changes in how we do task management altogether.

Also totally hear you on the personal database idea. We've been toying with similar ideas for a while. Many users already do this with Martin, basically brain dump in a long voice session, and it'll suggest reminders/calendar events for you. We're still figuring out how to display this personal DB info to the user in a UI though, so would love to hear your suggestions.

Thanks for leaving the comment! We totally understand your concerns, and you're not alone! We ourselves are very privacy sensitive, and never liked the idea of hardware devices always listening to us. And, as you said, our integrations are dealing with the most personal of personal information.

We recently got our CASA Tier-2 compliance done (Cloud Application Security Assessment). We've also gone through Google's OAuth compliance process for every new integration we add that's related to Google. These assessments scan our app and make sure that our software meets pretty stringent standards when it comes to data security and encryption, and that we're not using the data for anything other than the specific features we promise (i.e. not sharing or selling to advertisers, etc.). You can read more about CASA here (https://appdefensealliance.dev/casa). We haven't gone through SOC2 yet, but planning on soon once we have a few more integrations.

Thank you for all the feedback! Just wanted to hop on and address a few things.

- I totally resonate with your criteria for an AI PA - this is very much what we're working towards with our email integration. We had been focused on voice for a while, but recently started tackling all the email use cases. Really want to get these right for you!

- Sorry for the poor onboarding job - we should make it more clear that you have to sync your calendar before we send you an email inviting you to send and forward scheduling items to Martin.

- For sending emails to contacts, this is one of our upcoming integrations that we've been building for a while - but just not ready yet! We want to make it able to send/reply to emails and fully act on threads that you attach it to. This means issuing you a unique email address for "your Martin" and managing it's behavior on threads and memory of other contacts. It's a harder problem than we first anticipated, so we're working through it steadily! It should be ready in the next month or so. For now, the communications feature is just limited to texting contacts on your behalf.

- For "deep searches", it definitely isn't the greatest at digging into a topic or generating a thorough briefing for you right now. We're not sure how deep we'll go into this use case in the future, but we do plan on integrating with more specialized functions, like LinkedIn, Twitter, Maps, etc. which should make this a lot better.

Sorry again for the poor onboarding experience. I think we also got an email from you, so will reply there as well to ask for more feedback!

Thanks for the feedback!

- Right now, we use a combination of RAG and chain of thought for storing memories. At different time intervals, we'll create memories at different levels of granularity. For example, at the end of every conversation, we'll embed some vectors based on specific commands from the user. At the end of each day, we'll have the LLM reflect on key questions related to a user's routine. And every few days, it'll reflect on the user's short/long term goals. This has worked to some degree, but we're still in the very early stages of figuring out how to do long-term memory for an assistant.

- Scaling the number of tools is definitely a struggle since we want to make our integrations as thorough as we can. It takes time, so we just try to keep growing the list consistently. We have an internal goal of adding at least one new major integration every month.

- Love the idea of bringing your own API keys/endpoints. We've gotten this feedback before, so we'll seriously consider it in our next few sprints!

Yes! If you have your Martin send a text to a contact, he'll respond to the contact automatically when they text back. You can track these replies in the app. Our most commonly used integrations are probably reminders and calendar - a lot of users like to sync with Martin in the morning and tell it everything on their schedule today, so they can be reminded throughout the day!