Freelancers using Relevance AI
Freelancers using Relevance AI
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Louis Dodou
pro
Lagos, Nigeria
AI Voice Agents & Automation for Growing Businesses
5.0
Rating
53
Followers
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AI Voice Agents & Automation for Growing Businesses
4
Internal Ops Automation Suite — Gmail, Slack & Notion Most teams leak time in the same three places: emails that don't reach the right person, leads that get logged late, and applicants that fall through the cracks. This suite closes all three gaps at once. Built three connected Make.com (http://Make.com) automations for a single client's internal ops stack. New Gmail messages get instantly pushed to the relevant Slack channel with controlled pacing so nothing gets buried. Leads coming in outside the main funnel are caught via webhook, enriched through Relevance AI, logged in Airtable, privately flagged on Slack, and segmented in ActiveCampaign fully hands-free. And when UGC creators apply through Slack, their data gets parsed, matched against existing Notion records, and either created or updated, with the team notified at every step. Three workflows. One cohesive system. Zero manual handling across email, leads, and creator ops. Stack: Gmail · Webhooks · Make.com (http://Make.com) · Relevance AI · Airtable · Slack · ActiveCampaign · Notion · HTTP · JSON
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151
4
HARO Multi-Agent Response System → Airtable Responding to HARO queries manually is a full-time job. This system handles it like a team of specialists working in parallel. Built a Make.com (http://Make.com) automation that watches Airtable for new HARO opportunities, routes each one through a router based on the query type, then assigns a dedicated Relevance AI agent to craft a tailored pitch for each category. Every agent response gets upserted back into Airtable automatically organised, tracked, and ready to send. Four query types. Four AI agents. One automated pipeline that keeps your PR outreach running around the clock. Stack: Airtable · Make.com (http://Make.com) · Relevance AI · Router
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111
4
AI-Qualified Website Lead → CRM & Outreach Pipeline Not every lead deserves the same response. This system figures that out automatically. Built a Make.com (http://Make.com) workflow that catches inbound website leads via webhook, runs them through a spam filter, then passes clean submissions into a Relevance AI agent which qualifies the lead and executes the right action. From there, a router splits the flow: genuine leads get logged in Airtable, added to ActiveCampaign with their list status updated, and the team gets pinged on Slack. Low-quality or flagged submissions get routed to a separate Slack alert so nothing falls through the cracks. Real leads, actioned instantly. Junk, filtered silently. Your team only sees what matters. Stack: Webhooks · Make.com (http://Make.com) · Relevance AI · Airtable · Slack · ActiveCampaign
4
128
4
About Louis Dodou
4
879
Relevance AI
(3)
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Dennis Lewis
pro
Orlando, USA
NoCode Expert: Bubble & Web3 App Solutions 🚀
$10k+
Earned
3x
Hired
9
Followers
expert
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NoCode Expert: Bubble & Web3 App Solutions 🚀
0
Low-T Quiz for Menspro Clinics
0
24
13
AI-powered Fashion Business Plan tool for fashion entreprenuers For one of our clients, Vibe Consulting, we recently launched an amazing ai-powered fashion business planning tool. Using voice inputs, the fashion entrepreneur can quickly and easily put together: Executive Summary, Team Profile, Market Research, Strategic Goals, Product Plan, Marketing Plan, Operations Plan and Financials. All exportable into a beautiful PDF with the click of a button.
4
13
379
0
Fashion Myway - Web3 E-commerce Platform
0
36
0
OptionTrack - Trading Tracker for Options Traders
0
31
Relevance AI
(2)
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Ömer Kuzu
pro
İstanbul, Turkey
Founder & CEO
2x
Hired
5.0
Rating
30
Followers
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Founder & CEO
0
Sonari - AI Music Streaming App UI Design
0
4
1
Renewable Energy Solar Website Design
1
5
2
Renewable Energy Business Website UI Design
2
4
1
Dental Care Clinic Web Solution
1
3
Relevance AI
(1)
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Aleksa Spalevic
Germany
AI Solutions Architect
5.0
Rating
37
Followers
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AI Solutions Architect
1
Beautylounge AG | Multi-Agent AI System
1
67
15
I didn't just build a Valentine's project. I built my girlfriend's Valentine's gift. "Spoken" turns your love story into a cinematic experience! Speak your memories, upload your photos, and AI transforms it all: → Type or dictate your story with Wispr Flow → Upload the photos that mean the most → Claude AI crafts a poetic narration → ElevenLabs gives it a warm, human voice → Photos come alive with cinematic transitions → One unique link = Your Valentine's gift Speaking my ideas out loud made me think differently about what I was creating. Built with: Wispr Flow × Lovable × Claude API × ElevenLabs 🔗 Try it yourself! (https://spoken.aleksa.ai/) 🔗 LinkedIn Post (https://www.linkedin.com/feed/update/urn:li:activity:7428377582875627521/)
11
15
652
1
My new Website created with Lovable! 🔥 https://aleksa.ai/en
3
1
299
1
AI Powered Company Wiki created with Lovable.dev
1
15
Relevance AI
(1)
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Vincent Eliot
Kinh Bac, Vietnam
Building autonomous AI workflows, AI chatbot with n8n.
New to Contra
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Building autonomous AI workflows, AI chatbot with n8n.
1
Lead Research & Qualification workflow Sales teams spend hours every week checking a lead's website, tracking down their LinkedIn page, guessing headcount, and figuring out if they're even a fit before a rep sends a follow-up. By the time that's done, the lead has gone cold, and weak ones (tiny local shops, solo founders, wrong region) are already sitting in the CRM. I built an automated system that handles this. A prospect submits their website and email through a form, and n8n passes the website to a custom AI Agent I built in Relevance AI. The agent runs 3 steps: 1. Google searches for the company's LinkedIn page and has an LLM pull out the single most likely URL. 2. Scrapes that profile, uses an LLM to extract business type, headcount, and location. 3. Runs a final LLM step against the client's own qualification rules (no local-only businesses, no sub-5-employee companies, US/Europe only) and returns a plain "qualified" or "unqualified." N8n takes that answer and routes the lead automatically. Qualified leads get created as HubSpot contacts, ready for outreach. Unqualified ones get logged to a Google Sheet for nurture instead of getting lost. What used to take 10-15 minutes of manual digging per lead now happens in seconds, applying the same criteria every time.
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125
1
API Integration: Connecting the Modern Business Stack Most businesses don't run on one system. They run on a patchwork: a CRM here, a payment processor there, analytics in one place, communication tools in another, none of it talking to the rest. Data ends up siloed inside each tool, so someone re-enters the same customer details three or four times a week, and nobody can point to a single source of truth when a number gets questioned. A central orchestration layer connects the entire tech stack through APIs and webhooks, handling authentication, transforming data into the format each system expects, and catching errors before they turn into bigger problems. Every tool stays in sync automatically, without anyone manually pushing data from one place to another. The business ends up with one connected ecosystem. Duplicate data entry and manual syncing both go away, and there's room to add whatever platform comes next without rebuilding the whole thing. It also changes how a business sees the person who built it: someone who can architect the whole stack, not just patch one tool at a time. Remaining patterns to watch: the closing sentence still leans on a mild contrast to land its point, but it's carrying a real claim (the person's perceived role) rather than just adding weight, so I left it.
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132
1
n8n Workflow Automation: Visual Workflow Engineering Most off-the-shelf AI tools work fine until a process gets complicated. A business rarely runs one clean step from trigger to outcome. It runs across a CRM, a database, email, Slack, and a spreadsheet someone still updates by hand, all at once, with different rules depending on the situation. A generic chatbot plugin isn't built for that. The business needs custom logic, branching that adapts to different conditions, and orchestration that doesn't fall over the first time something unexpected happens. This workflow is a production-ready automation architecture, engineered visually so every connection between APIs, databases, AI agents, and business tools is mapped out on purpose. Conditional logic decides what happens next. Scheduled triggers keep things running without anyone remembering to press a button. Multi-branch workflows handle the cases that don't follow the simple path, and the whole thing holds up in production. The result is a system shaped around how the business actually works, not forced into a generic template. It's maintainable, so a client can hand it off to a technical partner who understands the complexity underneath it, not just the surface. The workflows stay transparent enough to debug when something changes and solid enough to scale as the business grows. Remaining patterns to watch: none strong enough to act on alone; the passage reads clean on a second pass.
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111
1
CRM Automation — Lead Enrichment & Qualification Sales teams lose deals in ways that rarely show up on a scoreboard. A rep spends an hour chasing a lead that was never going to convert. Prospects get researched by hand, one browser tab at a time. Follow-up lands a day late because nobody was sure who to call first. Leads sit in the CRM with no context, so prioritization turns into a guessing game: - Which leads are actually worth calling today? - Which ones need more research before outreach? - Which ones are already cooling off from the wait? This workflow removes the guessing. The moment a lead comes in, AI enriches it with company and contact data, scores it against your qualification criteria, segments it, and triggers the right follow-up action on its own. No manual research, no waiting for someone to get to it. Reps end up spending their time only on leads worth chasing. Response time drops from hours to minutes, and because every lead gets the right action as soon as it arrives, conversion rates move in the right direction too. Less guesswork for the team, more closed deals at the end of the month.
1
121
Relevance AI
(1)
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Saimun Jubayer Shoyeb
Khulna, Bangladesh
20+ Founders trust me for AI Product, AI UX & Agentic UX. ⚡
10
Followers
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20+ Founders trust me for AI Product, AI UX & Agentic UX. ⚡
0
Cognivex — AI SaaS Landing Page
0
0
0
Prism — AI SaaS Landing Page
0
4
1
🏎 X/X — 3D Automotive Experience Website
1
11
1
✨ Kingfisher — AI Creative Search Dashboard
1
55
Relevance AI
(2)
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Giorgi Meskhi
Tbilisi, Georgia
I turn your startup story into a deck investors want to fund
New to Contra
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I turn your startup story into a deck investors want to fund
0
Redesigning the Sales Brochure for Aya Data's AI Relaunch
0
2
0
Building the Investor Deck for Aer Stretching's €1.3M Raise
0
3
0
Redesigning the Pitch Deck for Ticket Souq's $2.5M Raise
0
7
0
Building the Seed Deck for Mundostra's £3M Raise
0
6
Relevance AI
(1)
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Bennett Excel
Lagos, Nigeria
No/low code web developer creating websites and web apps
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No/low code web developer creating websites and web apps
0
AI Mail Generating Tool Development for SalesEmail
0
4
0
Mini MVP web development app for Walkstory
0
4
0
A Web Development for BUZEX E-commerce Platform
0
7
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