Shira Stember (shira)

This year I went from brand and product studio owner to vibe coder to builder to full stack founder. Day to day it doesn't feel dramatic. It is just showing up, trying to make things work, and trying to deliver the experience I want. But looking back I can't believe how far I've come. I'm capable of things today I never thought possible. And I still feel like I'm just getting started. Thinking ahead, my goal for @giftr isn't to build the best mini app or the best crypto commerce solution. It is to build a great app with a beautiful experience for both consumers and merchants where crypto is invisible. It is an app that is respectful of the community built around it, thoughtful about what is sold and how it is presented, and intentional across every aspect. Today the @giftr mini app is the first step towards this vision. Mini apps inherit social context and leverage key crypto primitives: identity, payments, and coordination. These primitives are the quiet infrastructure that makes an experience feel simple, delightful, and human. As the app layer evolves and gets stronger, crypto will really shine. Not because it gets louder, but because it gets quieter. Giftr is my bet on that future. Building in public on @farcaster and @baseapp.base.eth has been the highlight of my year. Possibly even my career. I'm pulling everything I've learned from the past about brand, product, and culture into @giftr. Seeing people post about the gifts they received and the gratitude they have both as a sender and recipient is the ultimate ROI. So here is to building more things people love in 2026. Not because it's exploring a new crypto primitive, but because it is just a better experience for all of us. 🥂

• 6 replies
• 1 recast
• 24 reactions

Q is smart. We can prove it. But being right isn't enough. Check out @quotient's latest substack to see what we've learned since we launched a live trading bot on Polymarket running on Q's intelligence. ⬇️ bit.ly/4sypIg0

• 2 replies
• 4 recasts
• 14 reactions

Where we're going, we don't need legacy endpoints.

• 1 reply
• 1 recast
• 3 reactions

I didn’t set out to vibe code Giftr. I didn’t even think I’d be able to do any of the dev work. I set out to prove that care and generosity can be a growth engine for community...and that crypto can be warm, magical, and capable of connecting our digital and physical worlds. Over the past year, I've worked with @deployer on marketing and comms, first with /ham and then with @bankr. Watching @deployer ship, navigate chaos, assemble an incredible team, go mainstream, and build a ride-or-die community that shows up every day was incredibly inspiring. It made me believe a product can be both onchain and deeply human. Giftr started as a side hustle experiment. It was an excuse for me to play with all the new AI tools people joked their dog could code with. It was a bumpy start. The current Giftr repo is my third attempt. Twice I gave it everything and walked away thinking, “This just isn’t possible for me.” But I kept coming back. Kept wanting to try a slightly different approach that might work. I couldn't stop thinking about it. I started reading dev docs, asking AI to explain them back to me, and slowly connecting the dots. The day I got wallet transactions to work, I knew I could do this. Now I use AI daily (Claude, Cursor, Codex, Canva, Perplexity, etc...) They’re critical to my flow and absolutely accelerate my output, but they don’t decide what feels true or magical. They aren’t doing demos, asking for feedback, nurturing manufacturer relationships, packing boxes, walking to the post office or applying two decades of experience in product, brand, and innovation to make the experience special. My judgment, empathy, taste and lived experience (aka me being a human) is my moat. So yes, it's true what @adrienne said. I am not a dev. I’m a builder with conviction, creativity, curiosity, and patience disguised as obsession. Vibe coding is the art of staying calm, creative, and resourceful when everything breaks. It's trusting that you’ll figure it out. It's knowing that success isn’t just how it works but also how it feels. It’s listening, intuition, patience, and staying at your desk until what you push to prod finally feels right. 💜

• 8 replies
• 15 recasts
• 40 reactions

New collection is up! The @giftr lore store is now open. purple pill necklace. purple pill beanie. wowow beanie. warplet beanie. D.A.R.E. beanie. donut beanie. controlled substances. paid for onchain. dispensed irl.

• 4 replies
• 10 recasts
• 26 reactions

One of the biggest lessons I’ve learned building in crypto is that the strongest communities and networks are the ones where incentives are aligned and understood by everyone involved. That’s why working with @skycastle feels so exciting. They care deeply about how founders, users, and partners all win together. This is exactly how I want to build @giftr for the long term. Grateful to be building alongside @itsbasil @garrett @derek and the rest of the @skycastle team and projects.

• 9 replies
• 5 recasts
• 28 reactions

If prediction markets have ever felt confusing, gamble-y, or just not your thing, I get it. Same. But then why is CNN running live odds tickers during news segments? Why does CNBC have a dedicated prediction hub? Why did the WSJ make a Polymarket data deal? Why are prediction market odds being presented as news signal, as if the crowd has spoken and that's that? So here's what I've learned from @ruminations @kompreni and @niftytime.eth over the past few weeks of working with them to build @quotient. Most world events prediction markets are thinly traded and poorly sourced, which means they're easy to manipulate. A single large bet can dramatically shift the odds, and that engineered signal gets picked up and reported as news. The Atlantic Council called it "weaponizing the odds." This has real consequences for traders, enterprises, risk analysts, anyone making decisions based on what they think is happening in the world. This is a broken signal being presented as truth. That's the problem @quotient is solving. Here's how it works: - Q, our AI, processes information at scale: news, public records, social signals - Human forecasters bring judgment built from being curious, paying close attention to the world, and knowing when something feels off. - Quotient uses those combined signals from Q and all of our forecasters to find the spread in mispriced markets. The data is public. The judgment isn't. That's the edge. Cool, right? OK. But who am I to be forecasting world events? I know a lot more about the Kardashians than I do Khamenei. Research shows how you think matters more than what you already know. A government study found that trained amateurs outperformed professional intelligence analysts, people with access to classified information, by 30%. Cognitive ability > domain expertise. This matters now more than ever. As AI generates more analysis, the scarce thing isn't information. It's knowing whose judgment to trust. That value exists in a lot of people and almost nowhere is it being recognized or compensated. Quotient is building the infrastructure to change that. Today our product is the spread between Q's forecasts and the crowd odds. Already useful to traders, and in the near term it will be essential intelligence for enterprises managing risk and supporting their decision making. But we are building toward something bigger. The future of media, where verified intelligence replaces manipulated noise. ___ If any of this resonates, I would love for you to try @quotient. You don't need to already know about prediction markets or world events. You also don't always need to be right. You just need to apply your judgment, be willing to make a call and learn. Our plan is to build a sustainable system where forecasters share in the value we generate from our customers, so building your track record and climbing the leaderboard is genuinely worth your time. Anyone with a @quotient score of 0.66+ already has access. Our Farcaster and World mini apps have been live for about a week and engagement has been strong. Based on that, we moved the social layer into the mini apps to be closer to where that activity is already happening. Our main app is still in private beta where we are surfacing signal across prediction markets and, as of this morning, equity markets as well. It's happening and there is so much more to come. TGIF. https://farcaster.xyz/miniapps/i0_1abYbjySF/signal-by-quotient

• 4 replies
• 9 recasts
• 22 reactions