Projetos que eu faria hoje como dev

Augusto Galego
9 Apr 202615:30

Summary

TLDRThe video shares creative project ideas aimed at professionals and entrepreneurs, focusing on business solutions like payment troubleshooting, AI-powered systems for sales funnels, and payment failure analysis. The creator discusses various SaaS opportunities, such as services for detecting API issues, freelance matchmaking platforms, and automated email classification systems. There's also a discussion on project scalability, VPS hosting, and the importance of optimizing services for business-to-business (B2B) clients. The overarching theme is to generate value for businesses, especially those with financial resources, and to create innovative tools that cater to professional needs.

Takeaways

  • 💡 Focus on building projects that solve real problems for businesses or people who already have money, rather than B2C for customers with limited funds.
  • 💳 Payment optimization is a rich opportunity: track failed transactions, conversion issues, and integrate AI to improve payment funnels.
  • 🖥️ Use VPS hosting for your projects, starting small and scaling as needed; platforms like HostGator provide cost-effective options with low latency in Brazil.
  • 🤖 AI-powered tools can enhance workflows: from investigating failed payments to classifying emails and summarizing meetings with actionable tickets.
  • 📊 Detect and monitor system failures or divergences (drift) in infrastructure and code to improve reliability and alert users proactively.
  • 🔑 Manage and optimize API keys securely to prevent overuse, reduce costs, and rotate keys efficiently across services.
  • 🕵️ Freelance aggregation platforms can connect businesses with freelancers more efficiently, similar to LinkedIn but focused on B2B freelancing opportunities.
  • 📈 Microservices and distributed systems visualizations add value to portfolios, showing mastery in event-driven architectures and complex systems.
  • 📹 Streaming capabilities impress employers and clients; live or real-time processing of data adds technical depth to projects.
  • ⚙️ Build tools to benchmark and select the best AI/LLM models based on parameters like accuracy, speed, and cost for specific tasks.
  • 🔧 Optimization projects are highly valuable: speed up databases, reduce technical debt, optimize finances, and improve business efficiency for paying clients.
  • 📌 Exploratory and creative ideas are encouraged: use AI and innovative thinking to create new solutions rather than replicating existing tools.

Q & A

  • What is the main purpose of the video discussed in the transcript?

    -The main purpose is to share multiple project ideas for developers, especially those that can help them stand out professionally, generate revenue, or enhance their portfolios.

  • Why does the speaker emphasize selling to clients who already have money?

    -Because selling to clients who can pay reduces the risk and complexity of B2C projects. Targeting financially capable clients ensures higher chances of successful sales and revenue.

  • What types of projects related to payment failures does the speaker suggest?

    -Projects that analyze failed payments or incomplete transactions, identify points of improvement in the sales funnel, use AI to detect and contact customers, and integrate services like WhatsApp and large language models to improve conversions.

  • How does the speaker suggest using VPS and hosting services in these projects?

    -The speaker recommends using VPS hosting to deploy SaaS projects, MVPs, and AI-based systems efficiently. Hosting on platforms like HostGator provides low latency, good processing power, and easy integration with APIs such as OpenAI.

  • What is the idea behind a 'crawler for freelancers'?

    -It's a platform that aggregates freelance opportunities from various sources, similar to LinkedIn but for freelance services, connecting freelancers with companies that need their skills in a streamlined, B2B manner.

  • What are some AI-based project ideas mentioned in the transcript?

    -AI-based ideas include: an explainer tool that interprets data, AI-generated meeting tickets, detecting divergences (drift) in systems, classifying emails, detecting friction on websites, and evaluating LLM performance for specific prompts.

  • What does the speaker mean by 'drift' in a project context?

    -Drift refers to divergences or inconsistencies between documentation, code, APIs, or deployed systems, where the actual implementation differs from the expected behavior.

  • How can streaming be incorporated into these projects to impress professionally?

    -Streaming can be used to deliver live or real-time content, visualize distributed systems, or provide live analysis of data or code execution, demonstrating the developer's ability to handle real-time and complex technical systems.

  • What is the concept of Curriculum Driven Development (CDD) mentioned in the transcript?

    -CDD involves creating projects specifically designed to enhance a developer's resume. The focus is on showing expertise in areas like distributed systems, microservices, and event-driven architecture, rather than immediate business utility.

  • What are optimization-focused project ideas suggested by the speaker?

    -Optimization projects can include improving performance, reducing technical debt, enhancing database speed, streamlining money transfer or tax processes, and creating solutions that increase efficiency for companies or wealthy clients.

  • Why does the speaker caution against B2C projects for clients without money?

    -Because such projects are high-risk, often difficult to monetize, and challenging to sustain, making B2C projects with low-budget clients less viable compared to B2B solutions or targeting clients who already have financial resources.

  • How can LLM performance be evaluated according to the transcript?

    -LLM performance can be measured based on criteria like response correctness, speed, cost, and suitability for specific tasks. Projects can score multiple LLMs against complex prompts to determine which model performs best in given scenarios.

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