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The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Testing out this interactive coordinate effect for the AEVUM wordmark.
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You Will Get Clean & Targeted B2B Lead Lists For Outreach
Need a customized prospect list based on your Ideal Customer Profile?
What You Provide:
1/ Industry / niche
2/ Target location
3/ Company size or other filters
4/ Decision-maker titles
4/ Any additional requirements
You can also send an Apollo or LinkedIn Sales Navigator search link.
What I Do:
I research matching companies and decision-makers, collect the required contact information, verify the data, remove duplicates, and organize the final list.
What You Receive:
Company • Contact Name • Title • LinkedIn • Email • Direct Phone • Website • Location
Delivered in a clean, structured, outreach-ready format.
Why Choose Me:
✓ Customized targeting
✓ Manual research
✓ Clean & organized data
✓ Duplicate removal
✓ Outreach-ready delivery
Tools: Apollo • LinkedIn Sales Navigator • Lusha • Google Search • Google Sheets
Ready to Build Your Lead List?
Send me your requirements or search link and I can get started.
Very useful and well-structured B2B lead research.
AI Assistant Using Your Business Knowledge Base — RAG on Your Documents
THE PROBLEM
Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know.
THE SOLUTION
A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections — by meaning, not keywords.
Any format as-is: PDF, DOCX, TXT, Markdown — 100+ pages is fine
Answers grounded in YOUR documents — it says "I don't have that information" rather than inventing
Source references — every answer shows which document and section it came from
Runs on your infrastructure — documents never leave your control
One command to re-index after updating documents — documented, no programmer needed
LIVE DEMO
Ask it about my products, pricing, deployment and support — it answers from 6 real documents with sources:
https://kb-assistant-demo.dvc-ai.workers.dev
The 'I don't have that information' line is the part most RAG builds skip, and it's the one that matters. How do you set the cutoff? On mine, a fixed similarity threshold broke once I filtered results by user role. Scores shifted and it refused questions it could answer.