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We chose Amazon Bedrock as the core of our Generative AI engine for several critical reasons. As a Fintech SaaS platform focused on hyper-personalization, we needed secure, scalable access to a diverse range of powerful Large Language Models (LLMs) without the massive overhead of managing our own AI infrastructure. Bedrock provides this through a single, managed API, integrating seamlessly with our existing AWS ecosystem for services like Amazon SES and SNS. This serverless approach allows our team to rapidly prototype and deploy sophisticated AI features for our financial wellness application, ensuring both high performance and the data security required in the financial industry.

Hi everyone, I’m the founder of ScanTower.io. I built this tool because, during my incident response work, I kept seeing SaaS companies and websites accidentally exposing themselves through missing headers, misconfigurations, or silent certificate changes. ScanTower is designed to give developers, security engineers, and DevOps teams a fast, external, no-agent way to spot these issues, track changes over time, and get actionable insights.

While we’re currently in beta and not selling plans yet, you can use the code STACKBETA3 for 3 months of Pro access. Happy to answer questions or hear feedback from anyone using it!

The Crypto Wallet is a next-generation digital wallet designed to provide seamless, secure, and practical cryptocurrency experiences for individuals, businesses, and communities. The Crypto Wallet is positioned to become a comprehensive crypto-fintech solution—not just a wallet, but a global ecosystem. By combining transparency, compliance, and utility, it bridges the gap between digital assets and real-world financial activities, paving the way for mass adoption of cryptocurrencies in everyday life.

I built webhook.rodeo because every time I integrated with a new API, debugging webhooks felt way harder than it should be. I just wanted a place to see the payloads clearly, replay them when something broke, forward them reliably, and not fight with brittle dev tools or home-rolled logging servers.

webhook.rodeo is the tool I wished existed:

Create an endpoint instantly

Capture and inspect incoming webhooks in real time

Replay and forward them to any destination

Verify signatures and track delivery attempts

Keep a clean history of everything hitting your system

It’s simple, fast, and built for people who integrate with APIs all day. If your work depends on webhooks, I think you’ll find this genuinely useful. Happy to answer any questions — and thanks for taking a look.

A critical migration for us was moving our initial backend prototype from Supabase to a self-managed Java Spring Boot application. While Supabase's Backend-as-a-Service (BaaS) model was excellent for rapidly building our MVP with its auto-generated APIs, we required more granular control over our business logic and data persistence layer as we prepared to scale. The migration involved carefully moving our user data to a dedicated PostgreSQL instance and rewriting our RESTful APIs in Spring Boot. This move gave us full control over our architecture, allowing us to implement more complex JWT authentication flows using Spring Security and optimize database performance for our demanding Fintech workload.

We have decided to start out using Erlang & Cowboy for this project. This is a naive decision based on some personal bias ideas but judging by the company that the language keeps we can't really go wrong!

We are using cowboy for the main monolith web solution but satellite REST apis will also be using cowboy.

Other Erlang tools we are shooting for are erlydtl as the main templating engine. This makes sense as I come from a Python / Django background & this templating engine is 1 to 1 port. I also decided on using pgo as the main postgres driver as it has support from an established org - Process One.

I have written my own migration library in Erlang which i may open source in the future.

So that's all for now. As & when I employ more Erlang functionality I will come back here with updates.

Bye for now!

The Matching AI for Conviconnect is an intelligent matchmaking system that helps users discover compatible partners through personalized AI-driven insights. Users begin by answering 10 questions to help the AI learn about their personality, interests, and strengths. When a match is found, users interact with an AI Assistant to explore the other person’s traits before deciding to connect. This approach enhances compatibility and confidence before entering a conversation or date.

Being part of Infinite Talk AI’s development is exciting. I’m passionate about helping the community achieve accurate lip-sync and seamless, infinite-length videos. Infinite Talk AI

Something we'd like to share is our deliberate choice of Java and Spring Boot for our backend. In an ecosystem often dominated by other languages for startups, we chose this stack for its proven enterprise-grade reliability, performance, and security—all non-negotiable in the Fintech industry. The maturity of the JVM, the comprehensive features of the Spring ecosystem like Spring Security, and the massive global talent pool allow us to build a highly scalable and secure application. This provides a rock-solid foundation for our platform, ready to meet the stringent compliance and Regtech demands required to partner with major financial institutions.

Seedance AI is more than a digital platform; it’s a vibrant ecosystem where art, technology, and human ingenuity meet. As a lively, creative AI art community, it serves as a safe haven for art enthusiasts and creators globally, offering a free, open, and stimulating space that removes obstacles between different cultures and artistic traditions. In this community, AI’s power goes beyond being just a technological tool; it becomes a universal language and a strong tie that links every member, no matter their background or experience.