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Built a full SaaS MVP in 3 days using Gemini Code Assist
AlexStartup April 10, 2026
534 likes
Used Gemini Code Assist in VS Code for a customer feedback aggregation tool. It handled the Next.js frontend, Supabase schema design, Stripe integration, and even wrote decent E2E tests. The inline suggestions understood my project structure after about 30 minutes of coding. Total API cost was about $4. The iteration speed is genuinely different from 6 months ago.
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View allGemini multimodal understanding is underrated
Threw a complex architecture diagram at Gemini and asked it to explain the data flow. Not only did it correctly identify every component, it caught a potential bottleneck I'd missed in the message queue between the ingestion service and the processing pipeline. Then I gave it a hand-drawn whiteboard sketch and it converted it to a clean Mermaid diagram. The vision capabilities are legitimately best-in-class right now.
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DeepLearningDaily 612
NotebookLM Audio Overviews changed how I learn
I've been uploading research papers and technical docs to NotebookLM and generating audio overviews for my commute. The two AI hosts actually debate nuances in the papers and ask each other follow-up questions. Listened to a 45-minute discussion about transformer attention mechanisms that was better than most YouTube explanations. The fact that this is free and powered by Gemini is kind of wild. Anyone else using this for study/research?
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NotebookLM_Fan 589
Google just made Gemini free in AI Studio — here is what you get
For anyone who missed it, Google opened up Gemini 2.5 Flash in AI Studio for free with generous rate limits. You get 15 RPM on the free tier which is honestly enough for personal projects and prototyping. The API is OpenAI-compatible now too, so you can swap it into existing projects with minimal changes. I migrated a side project from GPT-4o-mini and my costs went from $12/month to $0.
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SarahDevOps 723
How Gemini was trained differently from GPT — a technical breakdown
Read through the latest technical report and the key architectural differences are fascinating. Gemini was trained natively multimodal from the start — not separate vision/language models stitched together. This explains why it handles interleaved image-text reasoning so naturally. The mixture-of-experts approach also means the 2.5 Pro model activates only ~30% of parameters per inference, which is how they keep costs low despite the massive total parameter count.
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ResearcherEmma 367
PSA: Gemini Advanced now includes 2TB Google One storage
Just a reminder that the $20/month Gemini Advanced subscription includes 2TB of Google One storage, which alone costs $10/month. So you're effectively getting Gemini 2.5 Pro, NotebookLM Plus, priority access to new features, AND 2TB storage for the equivalent of $10/month. If you're already paying for Google One this is a no-brainer upgrade.
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GeminiTips 445
Migrated our RAG pipeline from OpenAI to Gemini — cost dropped 80%
We process about 2M tokens/day for our customer support RAG system. Switched from GPT-4o to Gemini 2.5 Flash and our monthly API bill went from $850 to $170. Quality is comparable — we ran a blind evaluation with our support team and they couldn't consistently tell which model generated which response. Flash is absurdly cost-effective for production workloads.
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StartupCTO_Mike 312
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