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β’ 21h
I built an automated lead generation system using Make.com that finds businesses on Google Maps and extracts their emails, completely automatically.
Here's exactly how it works:
πΊοΈ Connects to Google Maps API and searches any industry in any location
π Creates a Google Sheet automatically and populates it with business names and websites
π§ Makes HTTP requests to each website and extracts email addresses using AI
β
Ignores errors automatically and moves to the next lead
β° Can be scheduled to run every 15 minutes on autopilot
I ran it live and it found 50 marketing agencies in Bangkok with their emails, automatically.
Any industry. Any location. Anywhere in the world.
As long as the business is on Google Maps, this finds them.
Check out my Linkedln to learn more: https://www.linkedin.com/in/daniel-oluwafikayomi-famuyiwa-268a2a3a6/
Video below π
#AIAutomation #LeadGeneration #MakeCom #NoCode #EmailMarketing #BusinessAutomation #WorkflowAutomation #SalesAutomation #AITools #DigitalMarketing
β’ 13h
I'm currently exploring ways to enrich the leads further with additional business information before they even enter the CRM.
β’ 13h
If you were building a lead list today, what information would be most valuable besides email addresses? Website? Social profiles? Phone numbers? Industry data?
β’ 13h
The real value isn't just finding businesses, it's creating a repeatable system that consistently generates opportunities without manual effort.
β’ 13h
Most businesses spend hours searching for prospects manually. Automating the research phase frees up more time for outreach and closing deals.
β’ 13h
This can also be adapted for real estate agencies, recruitment firms, local businesses, consultants, and virtually any industry with a Google Maps presence.
β’ 13h
One thing I like about this workflow is that it doesn't require manual prospecting. Once configured, it continuously builds lead lists in the background.
β’ 8h
This is a nice build. Wonderful seeing automation guys here
β’ 4m
Great!
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Iβve been exploring @FLORA these days and this is one of the results.
This 360 spin actually took a bit of experimenting. I first started with static pouch mockups using the front and back designs, hoping that with detailed prompt the tool would simply turn them into a smooth rotation but the result came out rather buggy, with random zooming and awkward movement.
So I changed the approach - I generated the pouch spin separately in Pacdora, added the front and back pouch designs for clearer guidance and kept refining the prompt until it got much closer to what I had in mind. The base static mockup itself also went through Kittl and some Photoshop tweaks before getting here.
Itβs still not perfect but I really enjoy testing, combining tools and figuring out how to push AI closer to the kind of product visuals I actually want to create.
Hi! is it everything done by Ai? I mean package design? So my next question how you prepare design for printing after Ai preview? Nice work btw.
β’ Jun 10
I joined the Config Makeathon and built BriefOS β a client brief operating system for designers, studios, and freelancers.
The problem I wanted to solve is something almost every designer deals with:
Client projects rarely start clean.
They usually start with scattered notes, vague goals, random references, unclear positioning, mixed opinions, and no approved direction. That chaos creates slow starts, endless revisions, weak strategy, and confusion between the designer and the client.
So I built BriefOS to turn that mess into a clear, structured website blueprint.
The idea:
Client chaos β AI signal extraction β website blueprint β visual direction β wireframe β client approval
Inside BriefOS, a designer can collect messy client input, organize it into useful categories, extract important signals, build a sitemap, generate copy directions, choose visual routes, adjust wireframes, and send decisions into a client approval room.
I wanted the product to feel less like a generic AI tool and more like a real project command center.
What I built:
Command Center to track the full project workflow
Intake Wall for messy client notes, links, screenshots, and references
Signal Extractor to identify offer, audience, CTA, tone, gaps, and contradictions
Blueprint Builder for sitemap, homepage structure, copy, and conversion path
Visual Lab for mood, palette, typography, layout direction, and style routes
Wireframe Studio for reviewing and refining the homepage structure
Approval Room for client decisions, comments, approvals, and revision requests
I also focused on making the experience interactive instead of just βAI magically does everything.β
The user can tag notes, approve or reject signals, choose direction, reorder sections, compare options, adjust wireframes, and approve final decisions.
Built using Figma Make as part of the Config Makeathon.
The goal was simple:
Help designers move from confusion to clarity faster β while keeping strategy, copy, design, and client approval connected in one workflow.
Still more Iβd love to improve:
deeper real data inputs
stronger drag-and-drop behavior
better client presentation mode
more polished animations
live export options
more visual direction templates
But for this version, Iβm happy with the core concept: a useful AI workflow product built around a real design problem.
preview link:https://www.figma.com/make/LhthPqSGpwgLBKVoJdQLHG/Begin-Project?fullscreen=1&t=aPQZNZHYQiD53qn0-1&code-node-id=0-9
#ConfigMakeathon @figma #FigmaMake #ProductDesign #UIDesign #AIDesign #WebDesign #DesignTools #Contra
β’ Jun 10
This is actually a really useful idea. Turning messy client briefs into a clear workflow solves a real problem.
We explored a pitch deck for an AI-powered smart home concept focused on reducing energy waste through automation.
To help communicate the idea more clearly, we added motion in Jitter to guide the story and make the content easier to follow.
Would love to hear your thoughts on the flow.
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