Proud of this new chapter for Braille. π
What started as a clear mission to tackle bad UX in Web3 naturally evolved as the market did. AI matured, crypto matured, and expectations around products changed fast.
Today, teams donβt just need better interfaces. They need products that make sense, systems that scale, and experiences people can actually trust and use.
@braille_studio reflects that evolution.
More product-centric, more end to end, and better aligned with where AI and Web3 are heading.
This shift reflects how our approach has expanded:
Β β’ From focused deliverables to end-to-end product thinking
Β β’ From one-off projects to tailor-made product packages
Β β’ From early-stage exploration to scaling and restructuring products, across AI and Web3
Pre-seed, seed, Series A to C, or Web2 to Web3 migration.
Same standards. Broader scope.
Excited for whatβs coming next
Braille becomes Braille Studio.
To our past and current partners, thank you.
To our future collaborators, we canβt wait to work with you.
Onwards to simplifying how people interact with technology.
Check out our new website:
https://t.co/Ap97T2vsJ4
Co-builded this with @sadhikasethii, limited waitlist is open, few spots already taken.
If you run a studio, agency, product team, or you're a freelancer done absorbing misalignment that isn't yours, join the waitlist π https://t.co/2kVvW1egLN
After years working in product, agencies, and startups, one problem kept showing up everywhere.
Teams move faster than their decisions do.
Designers trying to make sense of conflicting feedback because nobody resolved it before it reached them.
Agencies eating revision rounds that had nothing to do with the actual work.
Freelancers absorbing the cost of decisions that were never theirs.
Founders slowly losing control over their own direction.
It always plays out the same way: work starts before the team is aligned, and someone downstream pays for it. We got tired of watching this happen.
So we built Sen.
Sen structures what happens before execution starts. It surfaces conflict, forces resolution, and makes sure direction is clear before the team moves forward. AI spots the friction. Humans make the call.
One of the best ways to test if your product has real demand: put it in front of people who don't know you.
MakePRD is now live on @ProductHunt π
An AI-powered tool that helps you go from idea to structured specs in minutes.
1/ Chat with Feature Finder to figure out the right feature to build
2/ Describe what you want and get structured user stories, acceptance criteria, edge cases, and success metrics
3/ Connect your project and get live AI recommendations
Export to Linear, GitHub, or feed specs into Claude Code, Cursor, or whatever you're building with. 19 languages π
Few beta seats left. Links below π https://t.co/iIIGmJ5Hcj https://t.co/VGnpzcdYT6
Every vote and share helps π
Been spending the last few weeks exploring how AI agents and vibe-coding can actually improve my day to day workflows. Not the hype, the practical stuff.
One area that kept coming up and based on my experience: product specs.
PMs spend hours writing specs that engineers never read, or founders skip specs entirely and ship chaos. So I built something.
MakePRD is an AI-powered tool that helps you go from idea to structured specs in minutes.
Three ways to use it:
1. Not sure what to build next? Start a conversation with Feature Finder, an AI chat that helps you figure out the right feature based on your goals and users.
2. Already know what you want? Describe your feature and MakePRD generates structured user stories, acceptance criteria, edge cases, and success metrics.
3. Want ongoing guidance? Connect your project and get live AI recommendations based on what's happening in your product.
Push everything to @linear or @github with one click, or export and feed your specs directly into Claude Code, Cursor, or whatever you're building with.
19 languages supported.
Early access is open π https://t.co/VGnpzcewIE
This is part of a bigger shift for me. Instead of just talking about AI and agents, I wanted to actually build with them and see where the real value is.
More experiments coming. What's working for you?
Tight sprint, fast feedback loops, clean execution.
Shipped a full website rebuild for @OctavFi in time for Devconnect.
From Figma to Framer, aligned with their new brand and core offerings.
Big thanks to @mbaril010 and the team for the trust.
If you need branding or a website that actually ships, happy to chat.
.@OctavFi had a new brand but an outdated website, with only three weeks until Devconnect 2025.
They reached out to rebuild their site around the new branding and two core offerings: Octav Pro & Octav API.
We redesigned from scratch in Figma, then built the full site in Framer.
The new website was shipped on time, ready for a successful event!
"Braille onboarded quickly, executed cleanly, and delivered a result that gave us confidence going into the event." β @mbaril010 , CEO & Co-Founder
@braille_studio This is why at @braille_studio we built MVP Ready: a 2-week sprint to design, build, and launch a functional MVP. Strategy, key flows, core integrations. Something you can demo, ship, and iterate on.
DM me if you want the sprint structure.
Most βMVPsβ fail for one boring reason: they are not actually MVPs.
They are usually:
β a feature soup that never ships
β a pretty prototype with no real usage
β a technical demo with no product story
β a product missing the one flow that matters
π§΅
@braille_studio 4) A story that matches the product
Clear product with weak narrative kills conversion.
Strong narrative with confusing product kills retention.
"Every successful product requires product management."
Product management is about orchestrating all the expertise into features that users love.
It's also about understanding your audience, show empathy, going farther than what your users expect.
That's what outstanding user experience is about, and how you win against competition.
I think this part is still one of the few areas where AI haven't done great yet.
With YC calling for startups on this topic will change that.
That's exciting. We'll have more time and energy to experiment about other features.