Ben Cheung

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Ben Cheung

Ben Cheung

@azurebn

always building. biochemist → swe. in crypto since '17. cofounded Tech Career North. prev @coinbase @enjin @riotgames.

Toronto Katılım Ekim 2014
682 Takip Edilen510 Takipçiler
Ben Cheung
Ben Cheung@azurebn·
@ahmednadar Great work! Making it accessible to the average user is so important so that its easy to access and allows the actual public more opportunities to get informed. 🫡
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Ahmed Nadar
Ahmed Nadar@ahmednadar·
#Toronto 👋🏼 A few weeks ago I realized I had no idea how my city council actually worked. Who voted for what. What passed. What failed. What it means for my street 😕 I wanted to know, so I dug in. Turns out everything is on open data. Every vote. Every motion. Every councillor. Going back years 🎰 But, buried in many files & links. Written for lawyers, not residents. Then I found this: this March, council voted to build a public pothole map!!! And studying AI cameras on city vehicles, due Q3 2027. And I'm like.…🤯 So I built a page to be informed. Every meeting. Every motion. Every committee. Every vote (when available) in plain language. Anyone can read it. Because I needed this for myself, and I think you do too. @cityoftoronto @TorontoCouncil @toronto solveto.ca/council
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Ben Cheung retweetledi
Brian Armstrong
Brian Armstrong@brian_armstrong·
“people didn't used to be able to send money on evenings or weekends”
Brian Armstrong tweet media
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Ben Cheung
Ben Cheung@azurebn·
Another banger day to touch grass in Toronto 🇨🇦
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Ben Cheung retweetledi
Claude
Claude@claudeai·
Shipping a production agent meant months of infrastructure work first. Managed Agents handles that for you. Define your agent's tasks, tools, and guardrails, and we run it on our infrastructure. Here's what early customers have built:
Claude tweet media
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acoll
acoll@acollnft·
incredibly proud to share that @TradeOnsight was selected for Base Batches Cohort 003 we started with a belief that predicting should be fun and social we've spent countless hours proving our thesis through telegram and discord we're excited to keep leveling up, with @base 📲
Onsight@TradeOnsight

We’re partnering with @Base Batches to accelerate the future of social trading. Onsight is the social predictions platform, turning conviction into a community. Prediction Markets are a hypergrowth industry, with an expected volume of $1.1T by 2030… but let’s be honest, something is broken. ❌ Trading is lonely. ❌ Retail has no idea how to get started. ❌ Over 75% of users quit after their first trade. The good news? We’re solving for this… and the numbers don’t lie: ✅ Over 6,500 members in the Onsight communities. ✅ Over 100,000 users reached through partnerships and integrations. ✅ 86% retention rate after users make their first trade Telegram and Discord were our proof. What comes next is our conviction. 📲🔜

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by@beyoumf·
After getting rich, what's next?
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Hang Huang
Hang Huang@hanghuang_·
After 6 applications and 6 rejection emails, we finally got into Y Combinator. Yes, read that one more time: 6 applications. 6 rejections. We turned a rejection into an admission offer. For a long time, every rejection led to the same question: "Do we pivot, or keep going?" We didn't think much of the first few rejections. Our reaction was mostly just: okay, back to building, apply again next time. Honestly, the hardest one was the 5th rejection because we felt so close. It was the first time we got an interview. We believed we had a real shot. But in the end, we got rejected… again. Looking back, the decision was fair. We were only doing around $300/month, and YC didn’t see a clear path to building a billion-dollar company through enterprise. So we stopped guessing and started listening. We did 20+ user interviews and realized something important: the people who really loved InsForge were not big enterprises. They were AI-native small teams and startups. That fundamentally changed how we saw the company. We clarified who the product was actually for, doubled down on what was working, and kept building in public on X and LinkedIn. We grew from 2,300 to 4,000+ databases in 2 months. Then we applied again. Our second interview with YC. We really thought this would be the one. But once again, we were rejected. That was the moment the question we had been asking ourselves after every rejection finally changed. No longer: “Do we pivot?” Instead: “How do we execute so well that the need for this product becomes impossible to ignore?” After 30 days of hell, we launched @InsForge_dev Launch Week 1. And it took off. Like, really took off! → 1.5M+ views on X → #1 on Product Hunt → #1 on GitHub Trending → 3K+ GitHub stars in one week But here's the craziest part: after rejecting us, YC changed their mind. Here was our second chance. We got an email from general partner Andrew Miklas (@amiklas), congratulating us on our launch and asking us to meet one more time. We figured it would be another tough interview. But the meeting was in two hours. No time to prepare. We were so nervous up until the very end. When we finally hopped on the call, he just said, “You guys have made huge progress. I want to work with you. Do you want to do YC?” WTF????????? Tony (@tonychang430) and I looked at each other. We were so shocked, we didn't even know what to say. Of course, the answer was yes. This is when we learned: Execute so well that your company becomes impossible to reject. Every rejection forced us to clarify our vision. The last one forced us to prove it. Next stop: YC P26!! @ycombinator 🥳 ( Read the full story below ⬇️ )
Hang Huang tweet media
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Brian Garrett
Brian Garrett@briangarrett·
Just got to Toronto Canada First time here so far it’s a vibe
Brian Garrett tweet media
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sudarshan
sudarshan@ItzSuds·
Any great founders I should be investing in right now at pre-seed/seed? I did 11 last quarter (5 of them raised Series As shortly after) and now I need to reload my roster of companies for Q2. My investment criteria below, DM me or reply here :)
sudarshan@ItzSuds

A little more clarity: SF1 invests in hyper technical founders who can hire the best talent and have a unique insight around product & distribution. And they need to have a monster fucking chip on their shoulder.

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Sigrid Jin 🌈🙏
Sigrid Jin 🌈🙏@realsigridjin·
🇨🇦 is experiencing all 4 seasons in the span of 2 weeks
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Alex
Alex@snowyautumndays·
good products: - Reduce friction - Save users money - Make decisions obvious what else?
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Alex
Alex@snowyautumndays·
Prediction markets by the numbers: - $162B total notional volume - 3.08M unique users - 752M transactions - $1B in open interest right now a year ago this industry barely existed. the breakdown: polymarket: $69B volume, 2.49M users kalshi: $61B volume opinion: $23B volume and growing: limitless, predict, overtime, and more sports is the fastest growing category. crypto and politics built the foundation, but sports is what's taking this mainstream. monthly volume went from under $50M in early 2024 to $1B+ today. That's a category being created in real time. what's still broken: the same market can be 5-10% different across platforms, there's no single place to see everything, and most people are still trading on one platform without knowing they're overpaying. the infrastructure is being built right now. @noma_xyz
Alex tweet media
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sui ☄️
sui ☄️@birdabo·
SOMEONE MADE A DIGITAL WHIP TO MAKE CLAUDE WORK FASTER 💀
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Ben Cheung
Ben Cheung@azurebn·
@heybilaaal This looks really cool, would be even cooler to see customization to allow for logos/other custom structures to embed inside :) maybe potential new lib? 👀
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Bilal
Bilal@heybilaaal·
qr codes are unique, like trees.
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Garry Tan
Garry Tan@garrytan·
Happy Easter. He is risen.
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Bryan Johnson
Bryan Johnson@bryan_johnson·
Guys, I’m an idiot. All this time I’ve spent trying not to die, I had toxic turf in my backyard. Artificial turf contains crumb rubber infill made from recycled tires, which leaches chemicals including PFAS, heavy metals, and polycyclic aromatic hydrocarbons. These compounds are linked to hormone disruption, carcinogenicity, and systemic inflammation. I don’t know how I missed it. It makes me question my basic competence in life. What gets me is that I try so hard to survey the world of potential idiocy. Then I find out there’s a monument to idiocy sitting right in front of my face that I was blind to. I’m removing the turf, yet I’m still stuck with this seemingly unsolvable problem of how to not be an idiot.
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