Caret gets to know you and autocompletes you across every app on your Mac. It learns your work, your friends, your style and suggests completions that actually sound like you. Just press Tab.
Congrats @ron_adin1 and @dschwartz18 on the launch! So happy to see Caret on Product Hunt.
I had the pleasure of meeting them about a month ago, and even then the energy and conviction behind Caret was impossible to miss! You could tell this team was building something they truly believe in.
And the problem they're solving is real: AI is everywhere but context stays siloed in each tool. Caret's approach of building at the OS level instead of forcing yet another integration is genuinely clever. And a huge boost for the productivity!
Excited to see where this goes! Hope to be a great journey!
I hit Tab in Slack all the time out of habit and nothing happens... exactly the frustration you're solving. Curious how it handles the trust question when it reads across every app, that's the first thing users ask us at Filently too.
@sophiafyi Exactly at this point I reply to most of my slack messages and update the team on progress with tab.
Regarding the privacy aspect we take a local-first approach. All context processing stays on your machine, and we only send data to LLM providers who have strict zero-retention policies (meaning they don't train on your data).
Thank you for the support!!!
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@ron_adin1 That's a solid approach! Local-first processing is probably the most credible answer to the trust question right now. We went a similar route: extracted text gets deleted post-processing, nothing stored, nothing used for training. Still, it takes a few touchpoints before users actually believe it. Curious if you've found anything that moves the needle faster on that?
@sam_alexander1 Love cotypist. We're trying to add the memory aspect to complete you in more complex chains of thought. Try it out to see the difference :)
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I spend a lot of time writing across Notion, Slack, Gmail, and various other tools, and the mental tax of switching context constantly adds up. Caret just removes a chunk of that friction. Tab completes what I was already going to type, without me having to switch to a chat window or rephrase anything.
What surprised me most is how quickly it starts to sound like me rather than a generic autocomplete. The local memory aspect is a smart call, and you can see it getting sharper over time. The memory tab is genuinely useful as a lightweight personal CRM on its own.
One keystroke. No friction. Congrats on the launch, looking forward to seeing where the multi-device story goes.
Replies
CheckYa
Excited to see how sharp it gets over time. @dschwartz18
Caret
@dschwartz18 @monir_ I'm biased but for me caret is so sharp and seamlessly integrated to my work that i mainly notice it when its off 🤣
ZeroHuman.
Congrats @ron_adin1 and @dschwartz18 on the launch! So happy to see Caret on Product Hunt.
I had the pleasure of meeting them about a month ago, and even then the energy and conviction behind Caret was impossible to miss! You could tell this team was building something they truly believe in.
And the problem they're solving is real: AI is everywhere but context stays siloed in each tool. Caret's approach of building at the OS level instead of forcing yet another integration is genuinely clever. And a huge boost for the productivity!
Excited to see where this goes! Hope to be a great journey!
Caret
@dschwartz18 @byalexai Your feedback super early on was super helpful to improve Caret early on!
Thank you for believing in us!
Caret
@ron_adin1 @byalexai Thanks for all of your support!
I hit Tab in Slack all the time out of habit and nothing happens... exactly the frustration you're solving. Curious how it handles the trust question when it reads across every app, that's the first thing users ask us at Filently too.
Caret
@sophiafyi Exactly at this point I reply to most of my slack messages and update the team on progress with tab.
Regarding the privacy aspect we take a local-first approach. All context processing stays on your machine, and we only send data to LLM providers who have strict zero-retention policies (meaning they don't train on your data).
Thank you for the support!!!
@ron_adin1 That's a solid approach! Local-first processing is probably the most credible answer to the trust question right now. We went a similar route: extracted text gets deleted post-processing, nothing stored, nothing used for training. Still, it takes a few touchpoints before users actually believe it. Curious if you've found anything that moves the needle faster on that?
Ammersive
“Autocomplete exists in code editors. Everywhere else on your Mac? Nothing”
https://cotypist.app/
Awkward…
Caret
@sam_alexander1 Love cotypist. We're trying to add the memory aspect to complete you in more complex chains of thought. Try it out to see the difference :)
I spend a lot of time writing across Notion, Slack, Gmail, and various other tools, and the mental tax of switching context constantly adds up. Caret just removes a chunk of that friction. Tab completes what I was already going to type, without me having to switch to a chat window or rephrase anything.
What surprised me most is how quickly it starts to sound like me rather than a generic autocomplete. The local memory aspect is a smart call, and you can see it getting sharper over time. The memory tab is genuinely useful as a lightweight personal CRM on its own.
One keystroke. No friction. Congrats on the launch, looking forward to seeing where the multi-device story goes.
Is it only desktop? Not available on phones?
Caret
@natalia_iankovych I got so used to caret in my life honestly it feels missing on my phone!
Hopefully in the future 🤭