How we rescued $5K leads from “Unread”

👋 Hey Vibe Builder,

Inbox chaos → clear leads → $5K saved.

That’s what we helped one founder do last week — and it was just the first step toward a true Zero Inbox setup.

IN TODAY’S EDITION

This week’s edition is packed:

→ The automation flow we used to rescue 23 leads from Unread
→ AI tools I’m adding to the stack right now
→ 7 big AI agent / LLM updates you should know about
→ How Mikey built an $8M/month app — with no code and one AI tool

Skip the noise. Build faster. Let’s get into it ↓

We pulled 23 missed leads out of ‘Unread’ last week — without touching a CRM.

A few weeks ago, I realized we were losing way too many opportunities, just because of bad inbox management.

We weren’t doing this on purpose. It just happened.

Here’s what I saw in my own Gmail:

→ Warm intros from investors — buried in Unread
→ Journalists following up — mixed with newsletters
→ Partnership emails — lost in threads
→ Crisis emails — delayed responses because they didn’t stand out
→ Positive replies — hard to spot because we were guessing tone from subject lines

We had lead follow-up automations set up.
But honestly, that wasn’t the problem.

The problem was → we couldn’t even see the right emails first.
We were reacting to whatever came to the top of the inbox.

That’s when I decided to fix it for myself.

I built a very simple tool:

→ Every new email gets read by an AI prompt
→ It detects tone → positive/neutral / negative
→ It auto-labels emails inside Gmail

Next morning, I just click “Positive” — and instantly see who to act on first:

→ Warm leads
→ Important intros
→ Positive media / PR replies
→ Time-sensitive partnership opportunities

It’s already helping me stay on top of what matters — and saving a ton of mental load.

Now, here’s what’s next:

→ I’m turning this into a Zero Inbox automation stack
→ Will add Gmail → Drive → CRM hooks
→ All inside n8n → no SaaS fees → full control of the system
→ Building in public — sharing the wins, fails, iterations as I go

This was step 1 → basic tone-based labeling.
Next → more advanced routing, priority scoring, and CRM sync.

If anyone is building something similar or has suggestions, I would love to hear them.

I’ll keep sharing updates as I build this out.

Access It Here: Gmail Label Automation

➕ Stack Additions

Tools are only as good as the vibes they amplify. Here’s what we’re adding to the stack this week.

📚 StudyPal
Learn anything 10x faster with AI-generated study guides, flashcards, and summaries.
https://www.getstudypal.com/home

🚀 Rocket.new
Turn your idea into a working web or mobile app — in minutes. No builder, no drag & drop — AI builds the whole thing.
https://www.rocket.new

📽 SkyReels V2
Create short-form videos (Reels, TikToks, YouTube Shorts) fast — AI handles editing, captions, transitions, and publishing.
https://www.skyreels.ai/home

⚡ Thunderbit
Next-gen AI web scraper — scrape leads or site data in 2 clicks. Built for sales & ops teams running volume workflows.
https://thunderbit.com

🌐 Keak
AI tests and optimizes your website. It creates variations, runs A/B tests, and keeps improving — no manual work required.
https://keak.com

👀 Hiring Agents
AI-powered recruitment agents deliver ready-to-interview candidates in <48 hours.
An entire recruiting stack run by AI.
https://hiringagents.ai

Add what clicks, skip what doesn’t. Your vibe, your stack.

7 big AI agent + LLM updates you should know about today

A lot just dropped — from RAG without embeddings to voice style cloning. Here's the rundown

1 → Mistral Code - https://mistral.ai/news/mistral-code
A new enterprise suite for dev teams.
Forked from Continue, with 4 models focused on autocomplete, search, command execution, and multi-step coding.

2 → OpenAI Connectors for ChatGPT - https://help.openai.com/en/articles/11487775-connectors-in-chatgpt
ChatGPT can now plug into Outlook, Gmail, Google Drive, Teams, Linear, and more.
Team plans get SharePoint, Dropbox, and Box — plus Deep Research connectors via MCP.

3 → LlamaIndex x MCP - https://docs.llamaindex.ai/en/stable/examples/tools/mcp/
New update includes:
→ Auth-enabled helper functions for agents
→ Any LlamaIndex workflow can now act as an MCP server

4 → Figma’s Dev Mode MCP Server - https://help.figma.com/hc/en-us/articles/32132100833559-Guide-to-the-Dev-Mode-MCP-Server
Brings design context straight into VS Code, Cursor, and Claude Code.
Turns design files into dev-ready code context. Beta live now.

5 → Claude Code for Pro users - https://support.anthropic.com/en/articles/11145838-using-claude-code-with-your-pro-or-max-plan
Now available — but usage limits are shared with regular Claude, so manage your runs wisely.

The ecosystem’s moving fast — agents are getting more real, more connected, and way more useful.

How Mikey built an $8M/month period tracker app — with no code and one AI tool.

This is one of the sharpest no-code + AI builds I’ve seen recently — and it’s a playbook any builder can learn from.

Mikey didn’t start from scratch.
He reverse-engineered the market first.

He looked at top apps in the space — Flow, Clue, Cycle Tracker — and broke down what worked: cycle tracking, pregnancy mode, health insights, and a clean UX.

Then came the build.

Instead of hiring developers, Mikey used Lovable to generate and iterate on the full app.

He started with a simple prompt: “Create a full-featured period tracking app with a modern UI. Include period & fertility tracking, symptom tracking, pregnancy mode, and health education.”

Lovable generated the base app instantly.

From there, Mikey refined it:

→ Simplified navigation to four clear sections
→ Cleaned up extra nav bars that would confuse users
→ Polished UX flow

For user data, he integrated Supabase:

→ Handled user signup and authentication
→ Enabled secure data storage — essential for an app handling personal health data
→ Tested the full flow to ensure users could log in and sync data seamlessly

Once that was stable, he built the core product features:

→ Period tracking with start and end dates
→ AI-powered predictions for future cycles and fertile windows
→ Symptom tracking with interactive visual charts
→ Pregnancy mode, including both fertility tracking and a fetal development tracker
→ Health insights — analyzing cycle data and flagging irregular patterns
→ Educational content surfaced based on cycle phase and user data

At this point, the app was fully functional — but revenue matters.

For monetization, Mikey added Stripe:

→ Implemented a $9.99/year premium subscription
→ Connected Stripe API and webhooks to handle payments and user access
→ Tested the entire flow: signup → payment → premium features unlocked

Finally, he polished the design — using Lovable again to apply a modern UI and optimize for mobile.

Stack used:

→ Lovable — core app generation and iteration
→ Supabase — user authentication and data storage
→ Stripe — payments and subscription handling

Mikey built the entire app without writing a line of raw code.
Just clear prompts, the right stack, and thoughtful iteration.

Why it worked:

→ He built for a validated market — didn’t waste time chasing ideas
→ He focused on trust — secure data handling and clear UX
→ He didn’t just ship a “pretty app” — he built one that works and earns
→ He used AI tools intelligently — not just for initial generation, but for fast iteration throughout the build

Today, the app is making $8M/month — all built on a no-code + AI stack.

This is the kind of execution that wins in 2025.

Connect with Mikey here:

Newsletter: https://mikey-no-code.beehiiv.com/subscribe

YouTube: https://www.youtube.com/@Mikey.Nocode

🧠 Vibe Vault

That’s a wrap for this edition.

Next week, I’ll share what’s coming in Zero Inbox v1 — including Gmail + Drive + CRM automations we’re testing.

If you want the exact flow we used this week → just reply “ZERO INBOX” and I’ll send it over.

Until then, keep building sharp, simple, and fast.

See you next drop.
Ankush

P.S. If this drop helped you vibe better, forward it to a friend who's still stuck in marketing 2015. Let’s build smarter—together.