ISTIAK AHMAD

ISTIAK AHMAD

LancepilotLancepilot
😎PH Hunter • Launch Strategist
#62960311,635 followers208 following
🔥 212 day streak
#1,041Last month
121 KP
#4,849Last year
366 KP
#1,090All time
2.7K KP

About

👋 Founder • SaaS Builder • Launch Strategist 🚀 Product Hunt Hunter • Maker Helping SaaS founders plan and execute memorable Product Hunt launches while building products people genuinely love. 🏆 Launch Highlights : 🏆 Lancepilot 🥇 #1 Product of the Day 🥈 #2 Product of the Week 🥇 #1 Marketing Product of the Month 🏆 Ginix 🥇 #1 Product of the Day 🏆 ToolSpend 🥈 #2 Product of the Day 🏆 Jector AI 🥉 #3 Product of the Day 🏆 Simply 4️⃣ #4 Product of the Day 🏆 Nomie 5️⃣ #5 Product of the Day 💯Always happy to connect with founders, makers, and builders, launch smarter, one product at a time.

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Maker History

Forums

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5d ago

Culpa - Local-first cost tracking for AI products

Your bill spiked and your dashboard shows one number. Culpa names the conversation that spent it, then forecasts your next bill. Local-first LLM cost tracking. Your prompts stay on your own infrastructure. Most AI dashboards just show what you spent. Culpa shows who spent it. As a local-first cost tracker, Culpa traces every LLM dollar back to the exact conversation and user. The best part? Your prompts never leave your infrastructure.
Zerocappedp/zerocapped•

25d ago

Should AI builders let you choose the model, or choose it for you?

Something I keep thinking about with AI builders:

Should we even have to choose the model?

Part of me wants full control, Claude for one task, GPT for another, Gemini when it fits better.

But another part thinks the tool should simply understand the task and automatically use the right model behind the scenes.

Zerocappedp/zerocapped•

25d ago

Which AI model do you actually trust most for building: Claude, GPT, Gemini or Codex?

I keep noticing this while building with AI:

There isn t really a best model anymore. There s a model you trust for a specific job.

Claude might nail the code architecture.
GPT might reason through a weird problem better.
Gemini might surprise you with a different approach.
Codex might feel more natural when you're deep in the codebase.

And sometimes, when one model confidently gets something wrong, asking another model is the fastest way forward.

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