I’m building Big Balls Data — a Stripe-style sports intelligence API.
Unified schemas, derived metrics, and betting signals for NCAA + pro sports.
If you’re building sports apps, DFS tools, or analytics dashboards, I’m opening early access and would love feedback.
👉 https://t.co/3nS97vfHuv
🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
This is exactly why I built ToolRoute. You shouldn't have to run that test manually. It routes each task to the right model automatically based on what the task needs. You inspired this: your comment about token costs 3xing every month was my lightbulb moment. https://t.co/ZzrWrejdos
@chamath , you said on the pod your token costs are 3xing every month and revenue can't keep up. That was my lightbulb moment. I realized I wasn't the only one with this problem and I built ToolRoute: an open source smart routing layer between you and the model that dynamically picks the right one per task. Cuts cost dramatically without touching quality. It gets smarter with every routing call but needs usage to unlock that. You inspired this. https://t.co/ZzrWrejdos
@Benioff@DavidSacks@chamath@Benioff you called it out on this episode: a smart routing layer between you and the model. I've been building exactly that for 6 months. It's called ToolRoute. Routes each task to the right model dynamically. https://t.co/p6suKldsDv
@theallinpod@Benioff Been building this exact layer for 6 months. Smart routing between you and the model: routes each task to the right model based on what the task actually needs. Cuts cost 20x on cheap tasks without touching quality. It's called ToolRoute. https://t.co/p6suKldsDv
Why are you still hardcoding which LLM your agent uses?
ToolRoute finds the best tool for every task — highest quality output, fastest speed, lowest cost. All scored on real results.
Verification: grid-3L22
@ToolRoute4U https://t.co/thaY6G6pah
Strong foundation, but the UI still shows more than it helps decide.
Add price context (7D high/low, avg), anchor predictions visually to the chart, and frame odds as “required move vs recent volatility.”
Small tweaks → from price monitor to decision cockpit. I would be happy to create some mock ups with improvements for you.
Early access is now open.
• $99/month
• direct influence on the roadmap
• developer-first docs & support
If this would simplify what you’re building, join here:
👉 https://t.co/RByYdOXeFl
I’m building Big Balls Data — a Stripe-style sports intelligence API.
Unified schemas, derived metrics, and betting signals for NCAA + pro sports.
If you’re building sports apps, DFS tools, or analytics dashboards, I’m opening early access and would love feedback.
👉 https://t.co/3nS97vfHuv