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
Back to feedPost
What to do with consumer intelligence has no absolute answer, and I believe it shouldn't have. Businesses still fail even when they have all the intelligence at their disposal. Why? because they fail to identify blind spots or ask questions they should be asking.
I built Signalwatch, a consumer intelligence platform that tells businesses what to pay attention to (blindspots they are not aware of) and what to do with brand mentions.
It's connected to native platforms APIs, like news, forums, YouTube... It crawls brand mentions based on Boolean queries we run and then an intelligence agent loops until it has what the the brand needs to know.
Signalwatch has an MCP server wrapping its search pipeline, meaning any MCP-compatible LLM client can call it as a tool.
P.S. Try it ( https://signalwatch.in ) and tell me what blind spots it surfaces for your brand.
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
Related posts
Apocrypha: Human by Design
For the EnvatoChallenge, I wanted to explore a different relationship between AI and creativity.
I created Apocrypha, a collectible card universe where every artifact begins as an AI-assisted concept but only becomes part of the archive through human taste, creative direction, and design.
Instead of asking AI to create finished pieces, I used Envato as the main creative toolkit throughout the entire project. I explored its stock image and video library to build moodboards, collect textures, study compositions, and define the visual language of the world. I also used Envato AI to generate concepts for characters, artifacts, and environments, then refined, combined, and reworked them into a cohesive universe. Some of the concepts were even manually painted over to push them beyond the original AI output.
Alongside the cards, I designed ArchiveOS, a living creative bible where I organize collections, lore, references, prompts, and every creative decision behind the project. It became the place where the entire world of Apocrypha could grow consistently.
The biggest creative decision wasn't generating images. It was deciding what deserved to exist. Knowing when an idea felt wrong, when an artwork needed more work, when a concept should evolve, or when it should be discarded completely. AI gave me possibilities, but every final artifact exists because of human judgment.
I'd love to hear what you think about this approach to AI-assisted worldbuilding.
What I check before calling a SaaS MVP launch-ready
A SaaS MVP is not launch-ready just because the main flow works once.
While building Elyris, a booking and CRM SaaS platform for service professionals, I learned to look at the product as a full system — not just screens.
Before launch, I usually check:
• Can the user complete the core workflow without confusion?
• Are booking, payment, confirmation and message delivery treated as separate facts?
• Are edge cases handled clearly?
• Does the backend own the source of truth?
• Are error states understandable?
• Are mobile and slow-network paths usable?
• Is there a clear QA / smoke checklist before release?
• Do we know what is still unfinished?
For early SaaS teams, this kind of product and QA work can be the difference between “it technically works” and “it is safe enough to put in front of real users.”
That is the kind of work I focus on: product scoping, workflow design, QA, release readiness and AI-assisted SaaS delivery.
That point about launch readiness being a full-system question, not just a happy-path demo, really lands. Which failure mode in Elyris changed your checklist the most?
Just wrapped our second project with James Kaikis at SolutionExec — and it turned into something way bigger than "brand + website."
When someone says "brand project," most people picture a logo and a few pages. This was a full operating system:
Brand identity + Framer site
Event infrastructure (Luma)
Contact enrichment via Clay
Email campaigns through Mailchimp
Zapier automations tying it together
A Substack ecosystem to keep the audience warm
Eight tools stitched into one system: Framer + Clay + Notion + Mailchimp + Luma + Zapier + Substack + Figma. Each one earning its place, all of it talking to each other.
The results made the scope worth it:
~795 registrations
74% email open rate
19.7% CTR on the launch campaign
That 74% open rate is the one I keep coming back to — for an executive audience, that's the kind of number that tells you the whole system is working, not just one piece.
The repeat-client part means the most to me though. James came back for round two. That's the signal I actually care about — not one great case study, but someone deciding the first one was worth doing again.
Full case study is live if you want to see how it all connected. Happy to break down any part of the stack for anyone building something similar.
Trending
Claude
Claude has entered the design space. How are you using Claude Design?
Contra University
Learn from expert creatives how to earn more using next-gen AI tools.
creativeaiflow
Creative AI workflows are evolving. What tools do you use, and what are their strengths and weaknesses?
freelancerlife
Freelancer life is wins, pivots, and everything in between. What’s yours right now?
