Leverage Signal

Most people run after money every day. But the smart ones build simple systems that makes money work for them over time. I'm just a guy studying leverage, small changes that give big results. Here are 5 simple leverage ideas I'm trying right now.

@ku_ds17868 Exactly. The model is the multiplier. The workflow determines what gets multiplied.

@LeverageSignal redesigning workflow is the real model upgrade.

We’re entering an era where workflow matters more than model choice. Everyone is comparing GPT vs Claude vs Grok. The biggest gains are coming from people who redesigned how they work.

@yongfook If Opus gets the job done, that’s all the benchmark you need.

This may be shocking to some, but I have never used Fable, and I think Opus is just fine for what I need. Are you all out there sending rockets into space or something?

@theo @simonw I’d rather have a smaller model that ships faster than a bigger one I avoid using.

Opus 5 should be seen more like "5.1". If it's better than Fable 5, I would expect them to label it 5.1. This isn't new, there were brief windows during the 4 line where Sonnet was better than Opus because of training improvements across the board. Sonnet 3.5 smoked Opus 3 Sonnet 4.5 smoked Opus 4.1 Sonnet 4.6 was slightly better than Opus 4.5 (according to benches) Re: tiering, definitely Haiku < Sonnet < Opus < Fable & Mythos. Note that fable === mythos, just has safeguards put in front of model. Same weights, same tier.

I've seen a few people predicting that Opus 5 will be out soon and will be better than Fable 5, but have Anthropic clarified how their relative naming scheme works yet? I assumed it was Haiku < Sonnet < Opus < Fable < Mythos - but is Fable meant to go between Sonnet and Opus?

@anupamrjp If they all cost the same, UX becomes the differentiator.

if all AI subscriptions cost the same, which one are you choosing? > Codex > GPT-5.5 > Sonnet 4.6 > Opus 4.8 > Gemini 3.1 > Grok 4.3

@anupamrjp The real flex is having this problem💀😂

your app gets 100k users tomorrow. Where are you hosting it? > Vercel > AWS > DigitalOcean > Self-hosted

@ku_ds17868 😂

@LeverageSignal thahhaha yeeee ... 🤣

What’s your biggest founder trait? Mine is starting side projects before finishing the first one 😅

@icanvardar You’re still programming. The abstraction layer just got higher.

you’re not coding anymore. you’re just prompting an AI in a terminal that renders ANSI characters

@w3rk_co_za Exactly. The biggest shift isn’t doing tasks faster, it’s redesigning how you work.

@LeverageSignal Most think AI is a tool for efficiency, but it’s actually a catalyst for innovation. Real impact comes from integrating it into decision, making, not just using it for tasks.

Everyone says they are using “AI” Ask them what changed in their workflow this month. Most can’t answer. They are consuming AI. Not compounding it into leverage.

@nurnabidesigner @BuildWithxAI The prompt isn’t the product. The workflow is.

@BuildWithxAI Nicely put. Shipping AI apps is more than calling an API it’s crafting the flow, testing edge cases, and validating ideas.

Things users never see: • prompt engineering • testing AI outputs • edge cases • rejected ideas Shipping AI apps is much more than calling an API.

@arpit_bhayani The best optimization is finding product-market fit first.

Premature optimization is the root of all conference talks.

@stijnnoorman Consistency is usually the advantage people mistake for luck.

I quit X. After 3 months. Because I couldn't grow. Then I restarted 6 months later. And today, I'm at 60,000+ followers. Don't be like me. Keep going.

@cheaf25master Budget 🚀💀

Hot take: Government websites: Frontend: 🤡🤡 Backend: 🤡🤡

@amit_code Likes fade. Reputation keeps paying dividends.

Likes are temporary. Trust lasts. I'm building an online presence that opens doors, creates opportunities, and keeps working even when I'm offline..

@TheSpacerr Lol 😂

Interviewer: How do you write code? Me: I use AI. Interviewer: How do you debug? Me: I ask another AI why the first AI is wrong. Interviewer:

@MatthewBerman Internal benchmarks are useful. Customer feedback is the final benchmark.

My favorite loop right now is optimizing my project until it reaches a 90% score on the benchmark I created.

@PolymarketMoney Owning the user matters as much as owning the model.

BREAKING: Elon Musk declares OpenAI “stole” Apple’s phone technology.

@KomalWCode Depends what you’re optimizing for. Kafka isn’t the answer to every streaming problem.

Best tool for real-time data streaming? A) Kafka B) Flink C) Spark D) Pulsar Data engineers - settle this ⬇️