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Alper Saydam

Merhaba 👋
Küçük bir duyuru: 6-7 Haziran'da "Production AI Engineering Bootcamp" düzenliyoruz.
Ne yapıyoruz kısaca:
- Ollama ile lokal LLM kurulumu
- Qdrant ile vektör veritabanı
- FastAPI ile production API
- Docker ile hepsini ayağa kaldırma
- Hepsi %100 offline — veri sunucudan çıkmıyor
Format: Online/canlı, her katılımcıya özel VPS, max 20 kişi.
Jupyter Notebook'ta model çalıştırmakla production'da sistem kurmak arasındaki farkı kapatmak isteyen varsa bakabilir:
databeta.dev
Sorularınız varsa burada cevaplayabilirim.

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3 months ago

Merhaba, Bilgi alabilir miyim?

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Sandeep

Why Most MVPs Fail (And How to Avoid It)

Most startups don’t fail because of bad ideas. They fail because they build too much, too soon.
At Tech Formation, we’ve worked with early-stage founders and noticed a consistent pattern:
❌ Months spent building features no one asked for
❌ No real validation before development
❌ Scaling issues right after launch
The approach that actually works:
✅ Start with a problem-first mindset
✅ Build a lean MVP (2–4 core features max)
✅ Get real user feedback within weeks
✅ Iterate fast instead of over-engineering
We’ve seen teams cut development time by 40–60% just by validating early.
We’re currently working with a few startups on MVPs and scaling systems, and the difference always comes down to how early they test their assumptions.
💬 What stage are you at right now—idea, MVP, or scaling?