Emre Kavaloglu

asking questions. building @TAMradarHQ & @heyWaterfall

[Emre Kavaloglu @ekavaloglu]

@bryantchou @ployai @ycombinator one of those rare products that got me excited the moment I saw it - congrats! @bryantchou

[Emre Kavaloglu @ekavaloglu]

https://t.co/l3aGOFMis4

[Emre Kavaloglu @ekavaloglu]

https://t.co/uIl52ipd6k

[Emre Kavaloglu @ekavaloglu]

@CloudflareDev @Cloudflare please give us managed postgres - that’s the only thing missing from the stack

[Emre Kavaloglu @ekavaloglu]

Look what my @openclaw created: https://t.co/l4mxYSTnC6 🦞
Yes, I bought the domain, but the rest is mostly it +claudecode

[Emel Kavaloglu @emelkavaloglu]

https://t.co/JG7WQLYypx

[Emre Kavaloglu @ekavaloglu]

first deploy of 2026 ✅

[Emre Kavaloglu @ekavaloglu]

just like 'this call could have been an email', oftentimes 'this tool could have been an API'

[Emre Kavaloglu @ekavaloglu]

ask: what stops you from shipping this feature in 2 days instead of 4?

formula:
what stops you from {{desired or better outcome}} instead of {{current timeline/approach}}?

[Emre Kavaloglu @ekavaloglu]

Why SHOULD we {do|buy|invest|build} this? >>> Why SHOULDN'T we {do|buy|invest|build} this?

I find negative questions help grill ideas better than positive ones. You come from a "what can go wrong" view and have to convince yourself to proceed (vs starting with reasons to do it)

[Emre Kavaloglu @ekavaloglu]

What's the one thing you could do in the next hour that will drive revenue?

[Emre Kavaloglu @ekavaloglu]

@gorkem +

[Emre Kavaloglu @ekavaloglu]

@RMB @crewAIInc @joaomdmoura 🚀🚀

[Emre Kavaloglu @ekavaloglu]

@joaomdmoura familiar faces! go team Crew 🚀🚀

[Emre Kavaloglu @ekavaloglu]

@guidsen +1 limited success so far

[Emre Kavaloglu @ekavaloglu]

Deductive Reasoning vs. Chain of Thought (CoT) 🤔

🔹 Deductive Reasoning:

-- "If A and B are true, then C must follow"
-- Applies established rules to reach conclusions
-- Works from general principles to specific conclusions

Example: "All humans are mortal. Socrates is human. Therefore, Socrates is mortal."

🔹 Chain of Thought (CoT) Prompting:

-- "Let me think: First A happens, which leads to B, causing C, so D is the answer"
-- Explicitly shows each step in the reasoning process
-- Helps LLMs break complex problems into manageable steps

Example: "To calculate 13×27, I'll first multiply 13×20=260, then 13×7=91, and add them: 260+91=351"

When to use each:
👉 Use Deductive Reasoning when applying clear logical rules to reach conclusions
👉 Use CoT Prompting when you need the AI to show its work or tackle multi-step problems

Short and sweet summary

[Emre Kavaloglu @ekavaloglu]

Weekend project is coming along well - building an API to track and monitor companies. I’ll be shipping a (free) YC dashboard powered by this API soon! 🤝

[Emre Kavaloglu @ekavaloglu]

only wrong answers 🙃

[Emre Kavaloglu @ekavaloglu]

🤌

[Emre Kavaloglu @ekavaloglu]

And pricing --> In both standard and extended thinking modes, Claude 3.7 Sonnet has the same price as its predecessors: $3 per million input tokens and $15 per million output tokens—which includes thinking tokens.

[Emre Kavaloglu @ekavaloglu]

nice little TL;DR of Claude 3.7 Sonnet

[Emre Kavaloglu @ekavaloglu]

and this