More sophisticated participants are entering prediction markets and it is becoming difficult for retail traders to compete.
Retail also needs to be programmatically interacting with these markets to be successful.
That’s why I built https://t.co/9bR19O69EN. It’s a chrome extension that enables anyone to create a strategy on @Kalshi and deploy a bot that runs it autonomously.
There seems to be clear demand. I posted about it 30 days ago and we’re already at 220 users and 20,000+ trades via Reflex!
Built a Chrome extension that lets you deploy strategies like this on @Kalshi just by talking to it!
- Strategy Bot button appears directly on Kalshi — no separate app needed
- Describe your strategy in plain English, Claude configures everything
- One-click deploy and stop
- Live P&L and trade history in the extension
Under the hood:
- Claude API extracts structured strategy parameters from natural language
- Polls live order book every 30 seconds
- Real-time order monitoring with automatic position management
Would you use this?👇
We're joining @ycombinator this summer!
We built @UseLitmus because technical hiring is broken—slow, expensive, & low-signal.
Building a company is a privilege. Doing it with @elenaxzhao makes it really fun :)
Thanks @snowmaker@gustaf for betting on us early. See you in SF!
Santiago values the present and prices L1s like companies.
Haseeb values the future and prices them like nations.
I hope Haseeb's right cuz all my bags are in L1s.
Just watched the L1 debate: @santiagoroel vs @hosseeb. Moderated by @notthreadguy.
The debate is on how you should value L1s.
Santiago believes L1s are overpriced because today’s revenues don’t justify today’s valuations.
Haseeb believes L1s are fairly priced because tomorrow’s role as global settlement layers justifies valuations today.
Dragonfly invested in Inversion. Cool to see partners publicly disagree.
Haseeb comes from professional poker, where the best players don’t just play the cards... they play the table.
They weigh incomplete information, read human behavior, and make decisions using qualitative edges that never show up in a spreadsheet.
When he sees L1s trading at high multiples, he sees an early meta forming, where the real value shows up after the adoption curve plays out.