u/Ok-Call3510

Do i only got this crazzy Zig Zag pattern for the impression views in last days or its for everybody?

The Backstory- I have a confession: I am a chronic "phone-snatcher." You know the drill—you’re in the middle of a deep work session, and suddenly, for no reason at all, your phone is in your hand and you’ve been scrolling for 20 minutes.

As a developer, I tried every blocker and timer out there. Nothing worked because those apps don't know why I'm not working—they just know the tab is open. I needed something that actually "saw" me slipping.

The Idea- I decided to build Focus Cat. The concept was simple: An AI companion named Luna that lives in your browser. If you’re working, she’s happy. If you walk away meaning you are not at work , she gets worried. But the "killer feature" (and the one that gave me nightmares) was Phone Detection.

I wanted the AI to detect the literal shape of a smartphone via the webcam. If it sees you holding a phone, Luna becomes distressed. If you keep scrolling, she… well, she doesn't make it. The emotional guilt of seeing a digital cat suffer was the only thing that actually made me put the phone back on the desk.

The "Privacy" Nightmare I’ll be honest: I was terrified of the Chrome Web Store review process.

I was 99% sure I’d get rejected immediately. "An extension that needs webcam access to monitor you?" That sounds like a privacy disaster. I spent weeks optimizing the code so that the AI is 100% local. I used a local AI model so that the camera feed never, ever leaves your computer. No cloud, no servers, no recordings.

Even then, I told myself, "There's no way Google approves this on the first try. They're going to think I'm building spyware."

The Surprise I submitted it, braced for a long battle of appeals and "Permission Denied" emails.

It got approved on the very first go.

I think the reviewers saw exactly what I saw: a tool that solves the "phone addiction" problem using tech that actually respects the user. By keeping everything offline, it turned a "creepy" idea into a secure productivity tool.

Link - Focus Cat

LinkedIn is becoming a massive headache for anyone with a high value title. If you are a founder, a senior HR lead, or a creator, your inbox is probably a graveyard of 200 unread messages.

The problem is that 90% of those messages are noise. It is either someone trying to for free, a generic sales pitch that doesn't apply to you, or a recruiter reaching out for a job you overqualified for years ago.

The mental tax of clicking every single message just to see if it matters is what causes burnout. You spend half your morning just trying to find the one message that actually moves the needle for your business.

I got tired of the "click and hope" workflow, so I built a project that acts as a bodyguard for your LinkedIn inbox.

Here is how it changes the way you handle messages:

1. Instant Intent Labels Instead of just seeing a name and a preview, you see a clear label next to every message. It identifies the intent before you even click. Is it a "Potential Partnership," an "Inbound Sales Pitch," or a "Candidate Inquiry"? You know exactly what you are getting into before you open the chat.

2. Smart Summarization The tool sits directly on your LinkedIn interface and gives you a one-sentence summary of the long, rambling messages. If someone sends you a fiveparagraph essay about their new startup, you get a simple note: "Wants a 15-minute intro call to discuss software dev services." You save minutes on every single thread.

3. Scam and Spam Detection High-value profiles are targets for fake accounts. The tool flags suspicious links or common scripts used by bots so you don't waste time talking to a wall or putting your security at risk.

4. No More Tab Switching The goal was to make this invisible. It isn't a separate app you have to log into. It stays right where you already work, adding a layer of intelligence to the standard LinkedIn UI.

5. Full expanded view for message - LinkedIn has a weird UI where it show messages in a cramped shrink view , I expanded the view in the project

This is for the people who want their time back. It turns your inbox from a source of anxiety into a prioritized list of opportunities.
join the waitlist - Waitlist

I’m currently practicing with a few different dummy APIs to learn how to map different data structures to my frontend.

browser is becoming a mess of tabs. i am using the time machine to jump back to previous responses without refetching tabs so like do you all uses these type of tools or is there a more professional way to keep a local history of API responses or we just hit the limitation?

The Backstory- I have a confession: I am a chronic "phone-snatcher." You know the drill—you’re in the middle of a deep work session, and suddenly, for no reason at all, your phone is in your hand and you’ve been scrolling for 20 minutes.

As a developer, I tried every blocker and timer out there. Nothing worked because those apps don't know why I'm not working—they just know the tab is open. I needed something that actually "saw" me slipping.

The Idea- I decided to build Focus Cat. The concept was simple: An AI companion named Luna that lives in your browser. If you’re working, she’s happy. If you walk away, she gets worried. But the "killer feature" (and the one that gave me nightmares) was Phone Detection.

I wanted the AI to detect the literal shape of a smartphone via the webcam. If it sees you holding a phone, Luna becomes distressed. If you keep scrolling, she… well, she doesn't make it. The emotional guilt of seeing a digital cat suffer was the only thing that actually made me put the phone back on the desk.

The "Privacy" Nightmare I’ll be honest: I was terrified of the Chrome Web Store review process.

I was 99% sure I’d get rejected immediately. "An extension that needs webcam access to monitor you?" That sounds like a privacy disaster. I spent weeks optimizing the code so that the AI is 100% local. I used a local AI model so that the camera feed never, ever leaves your computer. No cloud, no servers, no recordings.

Even then, I told myself, "There's no way Google approves this on the first try. They're going to think I'm building spyware."

The Surprise I submitted it, braced for a long battle of appeals and "Permission Denied" emails.

It got approved on the very first go.

I think the reviewers saw exactly what I saw: a tool that solves the "phone addiction" problem using tech that actually respects the user. By keeping everything offline, it turned a "creepy" idea into a secure productivity tool.

Link - Focus Cat

I'm practicing with the dummy API to learn how to pull specific data for a project. I'm trying to write a query that only shows products with the beauty category and a price under $10. I'm using the filter bar in this formatter. Help needed

Do i need to change the cat as a virtual companion or it look good already

Focus Cat - AI Focus Tutor

The Backstory- I have a confession: I am a chronic "phone-snatcher." You know the drill—you’re in the middle of a deep work session, and suddenly, for no reason at all, your phone is in your hand and you’ve been scrolling for 20 minutes.

As a developer, I tried every blocker and timer out there. Nothing worked because those apps don't know why I'm not working—they just know the tab is open. I needed something that actually "saw" me slipping.

The Idea- I decided to build Focus Cat. The concept was simple: An AI companion named Luna that lives in your browser. If you’re working, she’s happy. If you walk away, she gets worried. But the "killer feature" (and the one that gave me nightmares) was Phone Detection.

I wanted the AI to detect the literal shape of a smartphone via the webcam. If it sees you holding a phone, Luna becomes distressed. If you keep scrolling, she… well, she doesn't make it. The emotional guilt of seeing a digital cat suffer was the only thing that actually made me put the phone back on the desk.

The "Privacy" Nightmare I’ll be honest: I was terrified of the Chrome Web Store review process.

I was 99% sure I’d get rejected immediately. "An extension that needs webcam access to monitor you?" That sounds like a privacy disaster. I spent weeks optimizing the code so that the AI is 100% local. I used a local AI model so that the camera feed never, ever leaves your computer. No cloud, no servers, no recordings.

Even then, I told myself, "There's no way Google approves this on the first try. They're going to think I'm building spyware."

The Surprise I submitted it, braced for a long battle of appeals and "Permission Denied" emails.

It got approved on the very first go.

I think the reviewers saw exactly what I saw: a tool that solves the "phone addiction" problem using tech that actually respects the user. By keeping everything offline, it turned a "creepy" idea into a secure productivity tool.

Link - Focus Cat

I’ve been obsessed with "Inbox Zero" for years. I’ve tried Superhuman, Shortwave
, and all the new AI wrappers, and they actually do help with the mental load. Having a tool tell you "This is a recruiter" or "This is an urgent business action" without you opening the mail is a game changer for ADHD/burnout.

But there’s a massive catch that nobody talks about: The Privacy Trade-off.

To give you those "smart" summaries, most of these SaaS tools are literally sucking your entire inbox history onto their servers. They’re storing your bank statements, private receipts, and personal convos just to "process" them.

Coming from a background where I value stuff like ProtonMail, that always felt like a dealbreaker. You’re basically trading your entire digital soul for a cleaner inbox.

I’ve spent the last few months looking for a way to get that "Superhuman" level of semantic intelligence without the "Big Brother" data harvesting.

Here’s the framework I used to fix my workflow (and what I built to solve it):

1. Local-First Processing is non-negotiable If the AI is summarizing your email, it should happen on your hardware. With models getting smaller and more efficient, there is zero reason for a company to store your emails on their database. With smart labels see what the email is all about without even opening it

2. Semantic Labels > Keyword Filters Traditional Gmail filters (if "From: Boss" then "Star") are dead. They're too rigid. What we actually need is context. An email about a "Reward Program" is noise; an email about a "Reward for a Bug Bounty" is a priority. Keywords can't tell the difference, but local LLMs can. Semantic search allows you to search across all your emails like you chat with ChatGPT

3. The "Proton" Philosophy in Gmail I love Gmail’s UI, but I hate the ads and the tracking. The goal was to create a layer that stays 100% ad-free and private but gives you the high-end features of a $30/month power-user client.

I actually got tired of waiting for a tool that did this, so I built a client that runs everything locally on your machine. It reads the context, generates smart labels (Urgency, Recruiter Intent, Opportunities), and keeps 0% of your data.

It’s basically the "Privacy of Proton + Functionality of Superhuman."

I'm not going to drop a link here because I don't want to be that guy, but if you're struggling with inbox overwhelm and actually care about where your data goes, I’m happy to share the project or talk about how I handled the local processing.

here is the waitlist- https://forms.gle/eztySunomm6MNvAR7

I’ve been obsessed with "Inbox Zero" for years. I’ve tried [Superhuman], [Shortwave] , and all the new AI wrappers, and they actually do help with the mental load. Having a tool tell you "This is a recruiter" or "This is an urgent business action" without you opening the mail is a game changer for ADHD/burnout.

But there’s a massive catch that nobody talks about: The Privacy Trade-off.

To give you those "smart" summaries, most of these SaaS tools are literally sucking your entire inbox history onto their servers. They’re storing your bank statements, private receipts, and personal convos just to "process" them.

Coming from a background where I value stuff like [ProtonMail]il), that always felt like a dealbreaker. You’re basically trading your entire digital soul for a cleaner inbox.

I’ve spent the last few months looking for a way to get that "Superhuman" level of semantic intelligence without the "Big Brother" data harvesting.

Here’s the framework I used to fix my workflow (and what I built to solve it):

1. Local-First Processing is non-negotiable If the AI is summarizing your email, it should happen on your hardware. With models getting smaller and more efficient, there is zero reason for a company to store your emails on their database. With smart labels see what the email is all about without even opening it

2. Semantic Labels > Keyword Filters Traditional Gmail filters (if "From: Boss" then "Star") are dead. They're too rigid. What we actually need is context. An email about a "Reward Program" is noise; an email about a "Reward for a Bug Bounty" is a priority. Keywords can't tell the difference, but local LLMs can. Semantic search allows you to search across all your emails like you chat with ChatGPT

3. The "Proton" Philosophy in Gmail I love Gmail’s UI, but I hate the ads and the tracking. The goal was to create a layer that stays 100% ad-free and private but gives you the high-end features of a $30/month power-user client.

I actually got tired of waiting for a tool that did this, so I built a client that runs everything locally on your machine. It reads the context, generates smart labels (Urgency, Recruiter Intent, Opportunities), and keeps 0% of your data.

It’s basically the "Privacy of Proton + Functionality of Superhuman."

I'm not going to drop a link here because I don't want to be that guy, but if you're struggling with inbox overwhelm and actually care about where your data goes, I’m happy to share the project or talk about how I handled the local processing.

Here is the text about the startup-
I’ve been obsessed with "Inbox Zero" for years. I’ve tried Superhuman
, and all the new AI wrappers, and they actually do help with the mental load. Having a tool tell you "This is a recruiter" or "This is an urgent business action" without you opening the mail is a game changer for ADHD/burnout.

But there’s a massive catch that nobody talks about: The Privacy Trade-off.

To give you those "smart" summaries, most of these SaaS tools are literally sucking your entire inbox history onto their servers. They’re storing your bank statements, private receipts, and personal convos just to "process" them.

Coming from a background where I value stuff like Proton Mail, that always felt like a dealbreaker. You’re basically trading your entire digital soul for a cleaner inbox.

I’ve spent the last few months looking for a way to get that "Superhuman" level of semantic intelligence without the "Big Brother" data harvesting.

Here’s the framework I used to fix my workflow (and what I built to solve it):

1. Local-First Processing is non-negotiable If the AI is summarizing your email, it should happen on your hardware. With models getting smaller and more efficient, there is zero reason for a company to store your emails on their database. With smart labels see what the email is all about without even opening it

2. Semantic Labels > Keyword Filters Traditional Gmail filters (if "From: Boss" then "Star") are dead. They're too rigid. What we actually need is context. An email about a "Reward Program" is noise; an email about a "Reward for a Bug Bounty" is a priority. Keywords can't tell the difference, but local LLMs can. Semantic search allows you to search across all your emails like you chat with ChatGPT

3. The "Proton" Philosophy in Gmail I love Gmail’s UI, but I hate the ads and the tracking. The goal was to create a layer that stays 100% ad-free and private but gives you the high-end features of a $30/month power-user client.

I actually got tired of waiting for a tool that did this, so I built a client that runs everything locally on your machine. It reads the context, generates smart labels (Urgency, Recruiter Intent, Opportunities), and keeps 0% of your data.

It’s basically the "Privacy of Proton + Functionality of Superhuman."

I'm not going to drop a link here because I don't want to be that guy, but if you're struggling with inbox overwhelm and actually care about where your data goes, I’m happy to share the project or talk about how I handled the local processing.

here is the waitlist- https://forms.gle/eztySunomm6MNvAR7

I’ve been obsessed with "Inbox Zero" for years. I’ve tried Superhuman, Shortwave
, and all the new AI wrappers, and they actually do help with the mental load. Having a tool tell you "This is a recruiter" or "This is an urgent business action" without you opening the mail is a game changer for ADHD/burnout.

But there’s a massive catch that nobody talks about: The Privacy Trade-off.

To give you those "smart" summaries, most of these SaaS tools are literally sucking your entire inbox history onto their servers. They’re storing your bank statements, private receipts, and personal convos just to "process" them.

Coming from a background where I value stuff like ProtonMail, that always felt like a dealbreaker. You’re basically trading your entire digital soul for a cleaner inbox.

I’ve spent the last few months looking for a way to get that "Superhuman" level of semantic intelligence without the "Big Brother" data harvesting.

Here’s the framework I used to fix my workflow (and what I built to solve it):

1. Local-First Processing is non-negotiable If the AI is summarizing your email, it should happen on your hardware. With models getting smaller and more efficient, there is zero reason for a company to store your emails on their database. With smart labels see what the email is all about without even opening it

2. Semantic Labels > Keyword Filters Traditional Gmail filters (if "From: Boss" then "Star") are dead. They're too rigid. What we actually need is context. An email about a "Reward Program" is noise; an email about a "Reward for a Bug Bounty" is a priority. Keywords can't tell the difference, but local LLMs can. Semantic search allows you to search across all your emails like you chat with ChatGPT

3. The "Proton" Philosophy in Gmail I love Gmail’s UI, but I hate the ads and the tracking. The goal was to create a layer that stays 100% ad-free and private but gives you the high-end features of a $30/month power-user client.

I actually got tired of waiting for a tool that did this, so I built a client that runs everything locally on your machine. It reads the context, generates smart labels (Urgency, Recruiter Intent, Opportunities), and keeps 0% of your data.

It’s basically the "Privacy of Proton + Functionality of Superhuman."

I'm not going to drop a link here because I don't want to be that guy, but if you're struggling with inbox overwhelm and actually care about where your data goes, I’m happy to share the project or talk about how I handled the local processing.

here is the waitlist- https://forms.gle/eztySunomm6MNvAR7

I’ve been obsessed with "Inbox Zero" for years. I’ve tried Superhuman, Shortwave, and all the new AI wrappers, and they actually do help with the mental load. Having a tool tell you "This is a recruiter" or "This is an urgent business action" without you opening the mail is a game changer for ADHD/burnout.

But there’s a massive catch that nobody talks about: The Privacy Trade-off.

To give you those "smart" summaries, most of these SaaS tools are literally sucking your entire inbox history onto their servers. They’re storing your bank statements, private receipts, and personal convos just to "process" them.

Coming from a background where I value stuff like ProtonMail, that always felt like a dealbreaker. You’re basically trading your entire digital soul for a cleaner inbox.

I’ve spent the last few months looking for a way to get that "Superhuman" level of semantic intelligence without the "Big Brother" data harvesting.

Here’s the framework I used to fix my workflow (and what I built to solve it):

1. Local-First Processing is non-negotiable If the AI is summarizing your email, it should happen on your hardware. With models getting smaller and more efficient, there is zero reason for a company to store your emails on their database. With smart labels see what the email is all about without even opening it

2. Semantic Labels > Keyword Filters Traditional Gmail filters (if "From: Boss" then "Star") are dead. They're too rigid. What we actually need is context. An email about a "Reward Program" is noise; an email about a "Reward for a Bug Bounty" is a priority. Keywords can't tell the difference, but local LLMs can. Semantic search allows you to search across all your emails like you chat with ChatGPT

3. The "Proton" Philosophy in Gmail I love Gmail’s UI, but I hate the ads and the tracking. The goal was to create a layer that stays 100% ad-free and private but gives you the high-end features of a $30/month power-user client.

I actually got tired of waiting for a tool that did this, so I built a client that runs everything locally on your machine. It reads the context, generates smart labels (Urgency, Recruiter Intent, Opportunities), and keeps 0% of your data.

It’s basically the "Privacy of Proton + Functionality of Superhuman."

I'm not going to drop a link here because I don't want to be that guy, but if you're struggling with inbox overwhelm and actually care about where your data goes, I’m happy to share the project or talk about how I handled the local processing.

here is the waitlist- https://forms.gle/eztySunomm6MNvAR7

I’ve been obsessed with "Inbox Zero" for years. I’ve tried Superhuman, Shortwave
, and all the new AI wrappers, and they actually do help with the mental load. Having a tool tell you "This is a recruiter" or "This is an urgent business action" without you opening the mail is a game changer for ADHD/burnout.

But there’s a massive catch that nobody talks about: The Privacy Trade-off.

To give you those "smart" summaries, most of these SaaS tools are literally sucking your entire inbox history onto their servers. They’re storing your bank statements, private receipts, and personal convos just to "process" them.

Coming from a background where I value stuff like ProtonMail, that always felt like a dealbreaker. You’re basically trading your entire digital soul for a cleaner inbox.

I’ve spent the last few months looking for a way to get that "Superhuman" level of semantic intelligence without the "Big Brother" data harvesting.

Here’s the framework I used to fix my workflow (and what I built to solve it):

1. Local-First Processing is non-negotiable If the AI is summarizing your email, it should happen on your hardware. With models getting smaller and more efficient, there is zero reason for a company to store your emails on their database. If they say "we need it for the cloud," they usually just want your data for training or tracking.

2. Semantic Labels > Keyword Filters Traditional Gmail filters (if "From: Boss" then "Star") are dead. They're too rigid. What we actually need is context. An email about a "Reward Program" is noise; an email about a "Reward for a Bug Bounty" is a priority. Keywords can't tell the difference, but local LLMs can.

3. The "Proton" Philosophy in Gmail I love Gmail’s UI, but I hate the ads and the tracking. The goal was to create a layer that stays 100% ad-free and private but gives you the high-end features of a $30/month power-user client.

I actually got tired of waiting for a tool that did this, so I built a client that runs everything locally on your machine. It reads the context, generates smart labels (Urgency, Recruiter Intent, Opportunities), and keeps 0% of your data.

It’s basically the "Privacy of Proton + Functionality of Superhuman."

I'm not going to drop a link here because I don't want to be that guy, but if you're struggling with inbox overwhelm and actually care about where your data goes, I’m happy to share the project or talk about how I handled the local processing.

here is the waitlist- https://forms.gle/eztySunomm6MNvAR7

I’ve been obsessed with "Inbox Zero" for years. I’ve tried Superhuman, Shortwave
, and all the new AI wrappers, and they actually do help with the mental load. Having a tool tell you "This is a recruiter" or "This is an urgent business action" without you opening the mail is a game changer for ADHD/burnout.

But there’s a massive catch that nobody talks about: The Privacy Trade-off.

To give you those "smart" summaries, most of these SaaS tools are literally sucking your entire inbox history onto their servers. They’re storing your bank statements, private receipts, and personal convos just to "process" them.

Coming from a background where I value stuff like ProtonMail , that always felt like a dealbreaker. You’re basically trading your entire digital soul for a cleaner inbox.

I’ve spent the last few months looking for a way to get that "Superhuman" level of semantic intelligence without the "Big Brother" data harvesting.

Here’s the framework I used to fix my workflow (and what I built to solve it):

1. Local-First Processing is non-negotiable If the AI is summarizing your email, it should happen on your hardware. With models getting smaller and more efficient, there is zero reason for a company to store your emails on their database. If they say "we need it for the cloud," they usually just want your data for training or tracking.

2. Semantic Labels > Keyword Filters Traditional Gmail filters (if "From: Boss" then "Star") are dead. They're too rigid. What we actually need is context. An email about a "Reward Program" is noise; an email about a "Reward for a Bug Bounty" is a priority. Keywords can't tell the difference, but local LLMs can.

3. The "Proton" Philosophy in Gmail I love Gmail’s UI, but I hate the ads and the tracking. The goal was to create a layer that stays 100% ad-free and private but gives you the high-end features of a $30/month power-user client.

I actually got tired of waiting for a tool that did this, so I built a client that runs everything locally on your machine. It reads the context, generates smart labels (Urgency, Recruiter Intent, Opportunities), and keeps 0% of your data.

It’s basically the "Privacy of Proton + Functionality of Superhuman."

I'm not going to drop a link here because I don't want to be that guy, but if you're struggling with inbox overwhelm and actually care about where your data goes, I’m happy to share the project or talk about how I handled the local processing.

here is the waitlist- https://forms.gle/eztySunomm6MNvAR7

I’ve been obsessed with "Inbox Zero" for years. I’ve tried Superhuman, Shortwave
, and all the new AI wrappers, and they actually do help with the mental load. Having a tool tell you "This is a recruiter" or "This is an urgent business action" without you opening the mail is a game changer for ADHD/burnout.

But there’s a massive catch that nobody talks about: The Privacy Trade-off.

To give you those "smart" summaries, most of these SaaS tools are literally sucking your entire inbox history onto their servers. They’re storing your bank statements, private receipts, and personal convos just to "process" them.

Coming from a background where I value stuff like ProtonMail , that always felt like a dealbreaker. You’re basically trading your entire digital soul for a cleaner inbox.

I’ve spent the last few months looking for a way to get that "Superhuman" level of semantic intelligence without the "Big Brother" data harvesting.

Here’s the framework I used to fix my workflow (and what I built to solve it):

1. Local-First Processing is non-negotiable If the AI is summarizing your email, it should happen on your hardware. With models getting smaller and more efficient, there is zero reason for a company to store your emails on their database. If they say "we need it for the cloud," they usually just want your data for training or tracking.

2. Semantic Labels > Keyword Filters Traditional Gmail filters (if "From: Boss" then "Star") are dead. They're too rigid. What we actually need is context. An email about a "Reward Program" is noise; an email about a "Reward for a Bug Bounty" is a priority. Keywords can't tell the difference, but local LLMs can.

3. The "Proton" Philosophy in Gmail I love Gmail’s UI, but I hate the ads and the tracking. The goal was to create a layer that stays 100% ad-free and private but gives you the high-end features of a $30/month power-user client.

I actually got tired of waiting for a tool that did this, so I built a client that runs everything locally on your machine. It reads the context, generates smart labels (Urgency, Recruiter Intent, Opportunities), and keeps 0% of your data.

It’s basically the "Privacy of Proton + Functionality of Superhuman."

I'm not going to drop a link here because I don't want to be that guy, but if you're struggling with inbox overwhelm and actually care about where your data goes, I’m happy to share the project or talk about how I handled the local processing.

here is the waitlist- https://forms.gle/eztySunomm6MNvAR7

I’ve been obsessed with "Inbox Zero" for years. I’ve tried Superhuman, Shortwave
, and all the new AI wrappers, and they actually do help with the mental load. Having a tool tell you "This is a recruiter" or "This is an urgent business action" without you opening the mail is a game changer for ADHD/burnout.

But there’s a massive catch that nobody talks about: The Privacy Trade-off.

To give you those "smart" summaries, most of these SaaS tools are literally sucking your entire inbox history onto their servers. They’re storing your bank statements, private receipts, and personal convos just to "process" them.

Coming from a background where I value stuff like ProtonMail , that always felt like a dealbreaker. You’re basically trading your entire digital soul for a cleaner inbox.

I’ve spent the last few months looking for a way to get that "Superhuman" level of semantic intelligence without the "Big Brother" data harvesting.

Here’s the framework I used to fix my workflow (and what I built to solve it):

1. Local-First Processing is non-negotiable If the AI is summarizing your email, it should happen on your hardware. With models getting smaller and more efficient, there is zero reason for a company to store your emails on their database. If they say "we need it for the cloud," they usually just want your data for training or tracking.

2. Semantic Labels > Keyword Filters Traditional Gmail filters (if "From: Boss" then "Star") are dead. They're too rigid. What we actually need is context. An email about a "Reward Program" is noise; an email about a "Reward for a Bug Bounty" is a priority. Keywords can't tell the difference, but local LLMs can.

3. The "Proton" Philosophy in Gmail I love Gmail’s UI, but I hate the ads and the tracking. The goal was to create a layer that stays 100% ad-free and private but gives you the high-end features of a $30/month power-user client.

I actually got tired of waiting for a tool that did this, so I built a client that runs everything locally on your machine. It reads the context, generates smart labels (Urgency, Recruiter Intent, Opportunities), and keeps 0% of your data.

It’s basically the "Privacy of Proton + Functionality of Superhuman."

I'm not going to drop a link here because I don't want to be that guy, but if you're struggling with inbox overwhelm and actually care about where your data goes, I’m happy to share the project or talk about how I handled the local processing.

here is the waitlist- https://forms.gle/eztySunomm6MNvAR7